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Employee change orientation (echo) framework: A meta-review and taxonomy

Published online by Cambridge University Press:  01 October 2025

Paulette Brazzale*
Affiliation:
Department of Management, Technology & Organization, Auckland University of Technology, Auckland, New Zealand
Helena Cooper-Thomas
Affiliation:
Department of Management, Technology & Organization, Auckland University of Technology, Auckland, New Zealand
Roy K. Smollan
Affiliation:
Department of Management, Technology & Organization, Auckland University of Technology, Auckland, New Zealand
Jarrod Haar
Affiliation:
School of Management, Massey University, Auckland, New Zealand
*
Corresponding author: Paulette Brazzale; Email: paulette.brazzale@aut.ac.nz
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Abstract

Given the ubiquity of organizational change, it is fitting that considerable research has focused on employees’ responses to change, much of it collated in review articles. With the aim of integrating this diverse review literature and providing an employee-centric theorization, we provide a meta-review, a systematic review of reviews. We present the meta-construct of employee change orientation (EChO), which aggregates employee responses, attitudes, behaviors, and the associated psychological mechanisms related to organizational change. Our meta-review includes 50 scholarly reviews published between 2001 and June 2025, drawing on 1,606 primary studies. Through a synthesis of these reviews, we present the EChO framework and taxonomy. We identify areas for improvement, particularly for research design, and generate key insights for change practitioners working with employees experiencing change. Our meta-review contributes by clarifying well-researched areas, extending theorizing, and highlighting the need for further research to understand how employee responses to change influence outcomes.

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Research Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NC
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial licence (http://creativecommons.org/licenses/by-nc/4.0), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use.
Copyright
© The Author(s), 2025. Published by Cambridge University Press in association with Australian and New Zealand Academy of Management.

Employees constantly experience societal, economic, technological, political, and organizational changes (Fraccaroli, Zaniboni, & Truxillo, Reference Fraccaroli, Zaniboni and Truxillo2024), meaning change is a normal part of working life. Employees are integral to organizational change initiatives through their recognition, adoption, and implementation of change (Oreg et al., Reference Oreg, Bayazıt, Vakola, Arciniega, Armenakis, Barkauskiene, Bozionelos, Fujimoto, González, Han, Hřebíčková, Jimmieson, Kordačová, Mitsuhashi, Mlačić, Ferić, Topić, Ohly, Saksvik, van Dam, Davidov, Schmidt, Billiet and Meuleman2018; Rosenbaum, More, & Steane, Reference Rosenbaum, More and Steane2017). Organizational change scholars have made substantial progress in identifying the various psychological mechanisms explaining employees’ responses (e.g., Bartunek & Jones, Reference Bartunek and Jones2017; Oreg et al., Reference Oreg, Bayazıt, Vakola, Arciniega, Armenakis, Barkauskiene, Bozionelos, Fujimoto, González, Han, Hřebíčková, Jimmieson, Kordačová, Mitsuhashi, Mlačić, Ferić, Topić, Ohly, Saksvik, van Dam, Davidov, Schmidt, Billiet and Meuleman2018). There is also a developing understanding of employees’ attitudes, feelings, and intentions toward and against change (Bouckenooghe, Schwarz, Kanar, & Sanders, Reference Bouckenooghe, Schwarz, Kanar and Sanders2021). However, questions remain about how employee change responses inform and impact change management practice and organizational change outcomes (Hagl, Kanitz, Gonzalez, & Hoegl, Reference Hagl, Kanitz, Gonzalez and Hoegl2024; Schwarz & Bouckenooghe, Reference Schwarz and Bouckenooghe2021). In the related field of occupational health, scholars frequently link organizational change to adverse health outcomes for employees (e.g., Bamberger et al., Reference Bamberger, Vinding, Larsen, Nielsen, Fonager, Nielsen, Ryom and Omland2012; Beaulieu, Seneviratne, & Nowell, Reference Beaulieu, Seneviratne and Nowell2023; de Jong et al., Reference de Jong, Wiezer, de Weerd, Nielsen, Mattila-Holappa and Mockałło2016), but with minimal investigation of either possible positive outcomes or the psychological mechanisms leading to outcomes (Fox et al., Reference Fox, Johnson, Berkman, Sianoja, Soh, Kubzansky and Kelly2022). Job design research indicates that change can yield positive outcomes, for example, increasing employee control and participation (e.g., Knight & Parker, Reference Knight and Parker2021). These different scholarly traditions have extended knowledge of organizational change, but each within disciplinary silos with a specific change focus, whether achieving the organization’s desired end goals, understanding employee change responses that hinder change implementation, or employee harm prevention.

This siloing has had several repercussions. First, it has led scholars to draw different conclusions based on which aspect of organizational change they are examining. For example, the occupational health literature recognizes organizational change as a hazard to employee health (de Jong et al., Reference de Jong, Wiezer, de Weerd, Nielsen, Mattila-Holappa and Mockałło2016). Second, numerous relevant antecedents of employee change responses have been identified across multiple facets of change context, change type, change process, and the characteristics of the employees. However, it is unclear which is more important. Perhaps scholars have prioritized antecedents of organizational change since these can be modified to increase employees’ support for change (Kim, Hornung, & Rousseau, Reference Kim, Hornung and Rousseau2011), equip employees for difficult change (Gonzalez, Portocarrero, & Ekema, Reference Gonzalez, Portocarrero and Ekema2022), or prepare managers to control aspects of a change to improve employee adaptation (Potosky & Azan, Reference Potosky and Azan2023). However, when these constructs are placed together, they reveal a crowded and overlapping set of ideas on the factors that influence employee responses to change (Bouckenooghe, Reference Bouckenooghe2010; Kiefer, Reference Kiefer2005).

We propose establishing common ground across approaches to maximize the impact of future research via a comprehensive synthesis of past review research. To enable this, we provide a meta-review, which is a succinct state-of-the-art overview of the key fields of study (Jiang & Messersmith, Reference Jiang and Messersmith2017; Rojon, Okupe, & McDowall, Reference Rojon, Okupe and McDowall2021), in this case, employee responses to organizational change. As a review-of-reviews, a meta-review provides an effective method for combining findings from previous review articles to provide an expansive view of the current status quo in a field of literature and allows broad insights that, in turn, enable more influential future research (e.g., Jiang & Messersmith, Reference Jiang and Messersmith2017; Paulet, Holland, & Morgan, Reference Paulet, Holland and Morgan2021). As a foundational part of this meta-review process, we developed a meta-construct to incorporate the range of employees’ reactions and responses to change identified by other scholars. Specifically, Employee Change Orientation (EChO) encompasses employees’ attitudes, reactions, responses, and behaviors to organizational change, and their psychological mechanisms. EChO is a malleable, state-like, situation-specific personal perspective underpinned by psychological mechanisms and manifesting in change-related attitudes, intentions, and behaviors (Fugate, Reference Fugate, Martocchio, Joshi and Liao2012; Park & Park, Reference Park and Park2020). While arguably this meta-construct loses nuance from the underlying constructs it incorporates, for example, resistance and readiness to change, by delineating EChO we provide a focal point to link the multiplicity of perspectives. This enables us to take stock of the broader picture, identifying where we have rich evidence and where we lack understanding, the latter helping map out directions for future research. The comprehensive approach, as provided by a meta-review, also allows us to assess the impact of Piderit’s (Reference Piderit2000) much-cited article, promoting a nuanced multi-dimensional perspective that includes ambivalence as a change response.

In line with the aims of the meta-review method, we systematically identify scholarly reviews of organizational change research that include aspects of employee change orientation and we follow a structured process to integrate them into a coherent body of knowledge (Booth & Carroll, Reference Booth and Carroll2015; Jiang & Messersmith, Reference Jiang and Messersmith2017). We pose the following research questions (RQ) to shape our meta-review:

RQ1: In organizational change research, what constructs have been used to understand antecedents, employee change orientations, and outcomes?

RQ2: In organizational change research, how do these constructs relate to each other?

RQ3: Given the evidence to date, what are the pressing theoretical or empirical issues that can direct future organizational change responses research?

We synthesize review literature findings across various disciplines, including management, organizational psychology, human resource management, change management, and occupational health. From this, we deliver a new theoretical framework, a taxonomy of employee change orientation, and an overview of the status of the literature with recommendations to direct future research. Our meta-review makes two significant contributions to organizational change literature. Our primary contribution is to present a theoretical framework and meta-theory of employee change orientation, built from research evidence gathered across multiple disciplines, and contributing in multiple ways. Frameworks and the underlying meta-theory are two essential foundational elements for building theory, identifying key elements, and providing an organizing structure (Byron & Thatcher, Reference Byron and Thatcher2016). Relatedly, this meta-review moves the organizational change field towards the development of a programmatic theory through integrating prior unit theories of employee change (Cronin, Stouten, & van Knippenberg, Reference Cronin, Stouten and van Knippenberg2021) of employee change orientation. The EChO framework (Fig. 1) acts as a nexus for employee-centric organizational change researchers and practitioners to aid in decisions regarding what factors to consider, what they risk omitting, and how these factors relate to one another. For example, suppose a practitioner purely focuses on the attitude readiness for change and an employee outcome, such as engagement. In that case, they are forced to acknowledge how much of the organizational change evidence they are excluding. The second contribution enabled by our meta-review is to map pathways in the existing literature to identify both evidence-rich and evidence-poor areas, offering a clear rationale for future research agendas. To optimize the latter, we leverage insights from the diverse research approaches taken by past studies to provide extensive recommendations for future research that targets key areas of knowledge deficit.

Figure 1. The Employee Change Orientation (EChO) Framework.

Method

In this section, we present the method based on the main stages in a meta-review adapted from Denyer and Tranfield (Reference Denyer, Tranfield, Buchanan and Bryman2009): (1) assessment and planning, (2) design and conduct of search, (3) selection and evaluation, (4) extraction and analysis, and (5) synthesis. For the full methodological details of the search and selection practices, see the supplementary materials in Appendix 1 and a process flow diagram in Appendix 2.

As a first step, we developed the protocol with search terms and the inclusion and exclusion criteria. We selected the Scopus database because it provides extensive multidisciplinary indexing of peer-reviewed publications relevant to this review. As well as being cross-disciplinary, it has comprehensive coverage of peer-reviewed sources and includes all journals listed in EBSCO (https://www.elsevier.com/solutions/scopus). Second, we conducted a comprehensive search to identify review articles published from 1 January 2001 to June 2025. This timeframe allowed us to include reviews that had incorporated influential organizational change research published in the years prior (e.g., Armenarkis & Bedian, Reference Armenakis and Bedeian1999; Dent & Goldberg, Reference Dent and Goldberg1999; Ford, Reference Ford1999; Piderit, Reference Piderit2000; Wanberg & Banas, Reference Wanberg and Banas2000; Weick & Quinn, Reference Weick and Quinn1999).

The inclusion criteria were (1) the primary purpose of the review research paper was to contribute through the synthesis of empirical research studies published elsewhere; (2) the setting of empirical research included in each review was organizational change, including any that affected employees and their work; (3) the review included evaluations of as least one employee-level mechanism, reaction, response, orientation, behavior, or consequence related to organizational change; (4) the review was published in English in a peer-reviewed academic journal or book. We excluded reviews on the following criteria: (A) theoretical or conceptual essays focusing on developing theoretical models and propositions rather than synthesizing primary empirical research (e.g., Burnes, Reference Burnes2015; Oreg et al., Reference Oreg, Bayazıt, Vakola, Arciniega, Armenakis, Barkauskiene, Bozionelos, Fujimoto, González, Han, Hřebíčková, Jimmieson, Kordačová, Mitsuhashi, Mlačić, Ferić, Topić, Ohly, Saksvik, van Dam, Davidov, Schmidt, Billiet and Meuleman2018; Potosky & Azan, Reference Potosky and Azan2023); (B) reviews in non-peer-reviewed books or theses; (C) primary research papers; (D) reviews that focused on direct employee interventions (e.g., Lambert, Trinh, & Ashford, Reference Lambert, B, Trinh and Ashford2022).

Title and abstract screening, and full-text review were carried out by the first author, with further appraisal by the second and third authors. We manually searched the references and citations of included reviews to identify any further review articles. Data were extracted, and the reviews were coded according to their research focus, antecedents, change responses, and outcomes. Details of the primary studies were extracted to check for overlapping inclusion. We applied an iterative best-fit framework synthesis approach (Booth & Carroll, Reference Booth and Carroll2015) to synthesize the extracted information and build the theoretical framework and taxonomy.

Results

We identified 50 review articles for inclusion in the meta-review, covering over 1,606 primary studies. The most frequently cited research articles were Oreg (Reference Oreg2006), included in seven reviews; Eby, Adams, Russell and Gaby (Reference Eby, Adams, Russell and Gaby2000), Herscovitch and Meyer (Reference Herscovitch and Meyer2002), and Oreg (Reference Oreg2003), included in six reviews each. Nine reviews contained insufficient information to enumerate and identify the included studies (Armenakis & Harris, Reference Armenakis and Harris2009; Fugate, Reference Fugate, Martocchio, Joshi and Liao2012; Johnson et al., Reference Johnson, Dey, Nguyen, Groth, Joyce, Tan, Glozier and Harvey2020; Jundt, Shoss, & Huang, Reference Jundt, Shoss and Huang2015; Kamarova, Gagné, Holtrop, & Dunlop, Reference Kamarova, Gagné, Holtrop and Dunlop2024; Park & Park, Reference Park and Park2020; Rafferty, Jimmieson, & Armenakis, Reference Rafferty, Jimmieson and Armenakis2013; Santos de Souza & Chimenti, Reference Santos de Souza and Chimenti2024; Yin, Mueller, & Wakslak, Reference Yin, Mueller and Wakslak2024).

Table 1 presents a summary of the information extracted from each review, organized by focus topic. The first group is the eight reviews focused on the antecedents of change context (Fugate, Reference Fugate, Martocchio, Joshi and Liao2012; Oreg & Berson, Reference Oreg and Berson2019; Peng, Li, Wang, & Lin, Reference Peng, Li, Wang and Lin2020), change content and type (Knight & Parker, Reference Knight and Parker2021; Trenerry et al., Reference Trenerry, Chng, Wang, Suhaila, Lim, Lu and Oh2021), change process (Hagel et al., Reference Hagl, Kanitz, Gonzalez and Hoegl2024), and employee characteristics (Gonzalez, Portocarrero, & Ekema, Reference Gonzalez, Portocarrero and Ekema2022; Vakola, Armenakis, & Oreg, Reference Vakola, Armenakis, Oreg, Oreg, Michel and By2013). The bulk of the reviews (n = 33) focused on responses and reactions (e.g., Oreg, Vakola, & Armenakis, Reference Oreg, Vakola and Armenakis2011; Santos de Souza & Chimenti, Reference Santos de Souza and Chimenti2024), attitudes (e.g., Armenakis & Harris, Reference Armenakis and Harris2009; Bouckenooghe, Schwarz, Kanar, & Sanders, Reference Bouckenooghe, Schwarz, Kanar and Sanders2021; Choi, Reference Choi2011), psychological mechanisms (e.g., Yin, Mueller, & Wakslak, Reference Yin, Mueller and Wakslak2024), and change behaviors (e.g., Chiaburu et al., Reference Chiaburu, Lorinkova and Van Dyne2013; Derecho et al., Reference Derecho, Cafino, Aquino-Cafino, Isla, Esencia, Lactuan, Maranda and Velasco2024). Notably, nine reviews from the occupational health field did not include specific change orientation factors, leaving an unexplained black box between the change and employee characteristic antecedents and employee change-related consequences as outcomes. These reviews focus on the impact of organizational change, such as reorganization, downsizing, and restructuring, on the outcomes of psychosocial factors and health (e.g., Bamberger et al., Reference Bamberger, Vinding, Larsen, Nielsen, Fonager, Nielsen, Ryom and Omland2012; Bambra, Egan, Thomas, Petticrew, & Whitehead, Reference Bambra, Egan, Thomas, Petticrew and Whitehead2007; de Jong et al., Reference de Jong, Wiezer, de Weerd, Nielsen, Mattila-Holappa and Mockałło2016). In the following section, we first introduce the EChO Framework (Fig. 1); second, we present the pathway analysis of the review literature that underpins the EChO framework (Fig. 2); finally, we introduce the EChO taxonomy (Fig. 3).

Figure 2. Pathway analysis and status-quo map applying the EChO Framework. Note: Each letter represents a pathway addressed in a published review. In brackets is the number of reviews that included studies of the pathway. A - both distal and proximal antecedents to EChO; B - proximal antecedents to EChO; C - EChO to proximal outcomes; D - EChO constructs and mechanisms; E - proximal antecedents to proximal outcomes; F - distal antecedents to EChO; G - EChO to Distal outcomes (7/9 organizational outcomes; 4/9 change-related outcomes); H - distal antecedents to proximal outcomes.

Figure 3. The Employee Change Orientation (EChO) Taxonomy.

Table 1. Summary of reviews organized into reviews with a primary focus on antecedents, employee change orientation (EChO), and outcomes

Note:The table is organized by the primary focus of included reviews, antecedents (change context, change ontent and type, change process, employee characteristics), EChO (responses to change, attitudes to change, psychological mechanisms), and outcomes (employee consequences). The text in italics links to the grouping subheadings in Figure 3, noting these are abbreviated. Letters A-H denote a pathway in Figure 2.

The employee change orientation (EChO) framework

The EChO framework in Figure 1 is the product of our iterative synthesis process. This framework maps out the associations identified from the review literature between antecedents, EChO concepts, and the associated outcomes.

Working from the left of the framework in Figure 1, antecedents are organized into descriptions of change context, change content and type, change process, and employee characteristics, as is common in the organizational change literature (Armenakis & Bedeian, Reference Armenakis and Bedeian1999; Choi, Reference Choi2011). We then split these into distal antecedents on the left of Figure 1 that provide boundary conditions to distinguish different varieties of organizational change. Change context includes factors such as organizational practices or leadership. Change content describes what types of change, for example, technology or restructuring. Change process is the way a specific change is implemented, such as change management practices. Next in are proximal antecedents, which are employee characteristics and current situational perceptions. Proximal antecedents represent the employee’s current reality and perceptions, demographic characteristics, preferred ways of being and thinking, experiences, knowledge, skills, and abilities. These are the lenses through which the employees experience organizational change. A double-headed arrow between proximal antecedents and the grey EChO box represents that employee characteristics influence EChO, and that ECHO can also impact employee characteristics.

The center of Figure 1 (grey square) encompasses the various approaches to EChO across the reviews. The core elements comprise employee responses to change, made up of cognitive, affective, and intentional components, with both levels of valence and activation, linked to change-related behaviors. Change attitude constructs are an expression of EChO captured in many quantitative studies about employee change responses; we simplify our depiction of these by situating them as neighboring the core elements, because they may have various combinations of valence and activation across affective, cognitive, and intentional components. The reviews contain diverse theories linking to various psychological mechanisms that produce responses, attitudes, and manifest in change-related behaviors, and these are situated in the dynamic link between behavioral intention and actual behavior.

Next on the right is the proximal outcomes, employee consequences of change, which include factors such as wellbeing and job satisfaction. The double-ended arrows on the left indicate that EChO is influenced by and influences employee consequences of change. For example, active participants in change can shift to a state of change fatigue when faced with ongoing rapid change, which then negatively affects their orientation to the change (Beaulieu, Seneviratne, & Nowell, Reference Beaulieu, Seneviratne and Nowell2023). A further double-ended arrow between the proximal antecedent employee characteristics and employee consequences of change, indicates interplay between these facets; for example, personality traits can influence wellbeing (Gonzalez, Portocarrero, & Ekema, Reference Gonzalez, Portocarrero and Ekema2022), and experiencing fatigue influences situational perceptions (Beaulieu, Seneviratne, & Nowell, Reference Beaulieu, Seneviratne and Nowell2023). There is also a direct arrow from distal antecedents to employee consequences representing change characteristics that can have direct effects on employees, such as restructuring (de Jong et al., Reference de Jong, Wiezer, de Weerd, Nielsen, Mattila-Holappa and Mockałło2016).

Finally, we come to distal outcomes related to change or organizational outcomes. Past reviews provide surprisingly limited evidence of EChO change impact, leaving this linkage implied, but lacking empirical support. There is significant evidence that the change management approach does influence both change and organizational outcomes, although evidence does not include EChO (e.g., Stouten, Rousseau, & De Cremer, Reference Stouten, Rousseau and De Cremer2018).

Pathway analysis

The EChO framework enables us to conduct a pathway analysis to quantify the focus of different reviews, yielding valuable information on where there is strong versus weak evidence for linkages across organizational change, from antecedents through to outcomes. This analysis is presented in Figure 2, with the five elements of Figure 1, comprising distal antecedents, proximal antecedents, EChO, proximal outcomes, and distal outcomes depicted in the EChO framework, with arrows between these to quantify the number of reviews covering each pathway.

This analysis surfaces three features of research to date. First, 37 of 50 organizational change reviews focused on linking antecedents to some form of EChO, particularly the relationship between both distal and proximal antecedents on EChO (pathway A, n = 21), but also the distal antecedent (pathway F, n = 10) and proximal antecedent (pathway B, n = 6) links to EChO (total of 37 reviews). This demonstrates the dominance of research and theorizing substantiating the relationship between an extensive range of antecedents and measures of employee change responses, reflecting a keen interest in what leads to diverse employee change responses.

Second, Figure 2 shows plentiful evidence linking the core elements of EChO, that is, employee change responses with change behaviors or testing psychological mechanisms (central component D, n = 15), noting that most of these responses are linked to change-related behaviors. This reflects a strong focus on explaining behavioral responses to change. Scholars provide varied theoretical explanations of the psychological mechanisms linking change response, attitudes, and behaviors. We conclude there is no dominant theorizing to explain the relationship between organizational change thoughts, feelings, intentions, and behaviors.

Third, many fewer reviews investigate connections between EChO and distal outcomes (pathway G, n = 9). Of these nine reviews, only four (Huo et al., Reference Huo, Couzner, Windsor, Laver, Dissanayaka and Cations2023; Kamarova, Gagné, Holtrop, & Dunlop, Reference Kamarova, Gagné, Holtrop and Dunlop2024; Oreg & Berson, Reference Oreg and Berson2019; Trenerry et al., Reference Trenerry, Chng, Wang, Suhaila, Lim, Lu and Oh2021) discussed change-related outcomes of EChO, emphasizing the lack of evidence of the relationship between employee responses and change outcomes. Taking these four reviews in turn, they focus on EChO affecting change leadership (Oreg & Berson, Reference Oreg and Berson2019) or as a potential moderator in digital transformation (Trenerry et al., Reference Trenerry, Chng, Wang, Suhaila, Lim, Lu and Oh2021). In healthcare, EChO was viewed as less important than the availability of resources, time, and training in linking to positive change-related outcomes (Huo et al., Reference Huo, Couzner, Windsor, Laver, Dissanayaka and Cations2023). Finally, Kamarova, Gagné, Holtrop and Dunlop (Reference Kamarova, Gagné, Holtrop and Dunlop2024) position the process of internalization of change over time by the individual as developing mastery, meaning, and belongingness, demonstrating the linkage between change practices to a continuum of behavioral responses, but did not analyze how EChO is linked to change-related outcomes. Together, these reviews indicate weak evidence of the relationship between EChO and change-related outcomes. This is particularly surprising given employee change responses are studied to identify ways to achieve successful change implementation (Stouten, Rousseau, & De Cremer, Reference Stouten, Rousseau and De Cremer2018). There are various possible explanations for this lack of evidence, one being difficulty in conducting research that unambiguously links EChO to broader change-related outcomes, and another being potential publication bias obstructing studies with null results from achieving publication (Kepes, Banks, & Oh, Reference Kepes, Banks and Oh2014).

EChO taxonomy

Using the EChO Framework (Fig. 1) as a guide, we have organized the factors extracted from reviews into the EChO taxonomy (see Fig. 3). This maps out the status quo in the literature, with the five key elements represented as columns. Next, we summarize the evidence that informs the EChO taxonomy in Figure 3, starting with EChO, then antecedents and outcomes.

EChO

We categorized the EChO elements into four orientations: responses to change, attitudes to change, change-related behaviors, and psychological mechanisms.

Responses to change

Responses to change are characterized by the multi-dimensional model of affective, cognitive, and behavioral responses with valence and activation (Bouckenooghe, Schwarz, Kanar, & Sanders, Reference Bouckenooghe, Schwarz, Kanar and Sanders2021; Piderit, Reference Piderit2000; Smollan, Reference Smollan2011). The earliest review to consistently apply this model was Oreg, Vakola and Armenakis (Reference Oreg, Vakola and Armenakis2011), who criticized the inconsistent usage of terminology and explosion of variables to explain different change reactions, most using only one valence and only one of the three modalities – affect, cognition, or behavior. Despite Oreg et al’s (Reference Oreg, Vakola and Armenakis2011) critique, ten years later, Bouckenooghe, Schwarz, Kanar and Sanders (Reference Bouckenooghe, Schwarz, Kanar and Sanders2021) found, in a bibliometric analysis, that only 66% of the empirical research contained measures of all three modalities, only 40% reported positive and negative valence, and even fewer (18%) reported the full activation range. Of particular concern is that omission of multi-dimensional perspectives prevents the identification of ambivalent responses, that is, responses with mixed valence and activation across a modality (Bouckenooghe, Schwarz, Kanar, & Sanders, Reference Bouckenooghe, Schwarz, Kanar and Sanders2021; Mikel-Hong, Li, Yu, & Chen, Reference Mikel-Hong, Li, Yu and Chen2023). We identified one integrative review focused on employee and change leaders’ emotions related to change Santos de Souza and Chimenti (Reference Santos de Souza and Chimenti2024) who found that employees’ emotions shaped change attitudes, emotional contagion in groups, and the change of emotion over the different stages of change. This research positions employees as passively coping with the change process. Meanwhile, identifying change leader research emphasizes agentic emotional responses, sensemaking, emotional regulation to achieve positive outcomes, mixed emotions, and sensitivity to the pace of change. We could not find a review that focused exclusively on ambivalent change responses, which show a mix of valence across the three dimensions of responses. Thus, despite Piderit (Reference Piderit2000) highly cited article advocating the multi-dimensional perspective and inclusion of ambivalent change responses, there is little evidence of developments in the understanding and theorizing of ambivalent or mixed responses to change in the review literature.

Attitudes to change

Six distinct attitudinal constructs dominate the review papers: readiness to change (Armenakis & Harris, Reference Armenakis and Harris2009; Bouckenooghe, Reference Bouckenooghe2010; Caci et al., Reference Caci, Nyantakyi, Blum, Sonpar, Schultes, Albers and Clack2025; Choi, Reference Choi2011; Derecho et al., Reference Derecho, Cafino, Aquino-Cafino, Isla, Esencia, Lactuan, Maranda and Velasco2024; Holt, Armenakis, Harris, & Feild, Reference Holt, Armenakis, Harris and Feild2007; Khaw et al., Reference Khaw, Alnoor, Al-Abrrow, Tiberius, Ganesan and Atshan2023; Oreg, Vakola, & Armenakis, Reference Oreg, Vakola and Armenakis2011; Rafferty, Jimmieson, & Armenakis, Reference Rafferty, Jimmieson and Armenakis2013; Scott, Dawson, & Quach, Reference Scott, Dawson and Quach2025), openness to change (Bouckenooghe, Reference Bouckenooghe2010; Huo et al., Reference Huo, Couzner, Windsor, Laver, Dissanayaka and Cations2023; Khaw et al., Reference Khaw, Alnoor, Al-Abrrow, Tiberius, Ganesan and Atshan2023), commitment to change (Bouckenooghe, Reference Bouckenooghe2010; Bouckenooghe, Schwarz, & Minbashian, Reference Bouckenooghe, Schwarz and Minbashian2015; Choi, Reference Choi2011; Jaros, Reference Jaros2010; Khaw et al., Reference Khaw, Alnoor, Al-Abrrow, Tiberius, Ganesan and Atshan2023; Oreg, Vakola, & Armenakis, Reference Oreg, Vakola and Armenakis2011), change engagement (Khaw et al., Reference Khaw, Alnoor, Al-Abrrow, Tiberius, Ganesan and Atshan2023), resistance to change (Bouckenooghe, Reference Bouckenooghe2010; Cheraghi, Ebrahimi, Kheibar, & Sahebihagh, Reference Cheraghi, Ebrahimi, Kheibar and Sahebihagh2023; Cieslak & Valor, Reference Cieslak and Valor2025; Erwin & Garman, Reference Erwin and Garman2010; Huo et al., Reference Huo, Couzner, Windsor, Laver, Dissanayaka and Cations2023; Khaw et al., Reference Khaw, Alnoor, Al-Abrrow, Tiberius, Ganesan and Atshan2023; Mikel-Hong, Li, Yu, & Chen, Reference Mikel-Hong, Li, Yu and Chen2023; Oreg, Vakola, & Armenakis, Reference Oreg, Vakola and Armenakis2011), and cynicism about organizational change (Choi, Reference Choi2011; Thundiyil, Chiaburu, Oh, Banks, & Peng, Reference Thundiyil, Chiaburu, Oh, Banks and Peng2015). Most of these reviews describe employees as change recipients and imply a reactive response to top-down change (e.g., Bouckenooghe, Reference Bouckenooghe2010; Khaw et al., Reference Khaw, Alnoor, Al-Abrrow, Tiberius, Ganesan and Atshan2023; Mikel-Hong, Li, Yu, & Chen, Reference Mikel-Hong, Li, Yu and Chen2023; Oreg, Vakola, & Armenakis, Reference Oreg, Vakola and Armenakis2011). This focus on attitude formation and the positioning of employees as passive recipients represents a core, known problem in the change responses literature (Oreg et al., Reference Oreg, Bayazıt, Vakola, Arciniega, Armenakis, Barkauskiene, Bozionelos, Fujimoto, González, Han, Hřebíčková, Jimmieson, Kordačová, Mitsuhashi, Mlačić, Ferić, Topić, Ohly, Saksvik, van Dam, Davidov, Schmidt, Billiet and Meuleman2018), yet such approaches endure. These employee attitude-focused reviews present frameworks to organize the field and make conceptual and definitional clarity recommendations, with meager evidence of the connection between employee attitudes and distal outcomes.

Change-related behavior

Change-related employee behaviors were mentioned or included as outcomes in 21 reviews. Seven of these reviews focused on adaptive performance, which comprises flexible task performance behaviors that help employees adjust to change (Park & Park, Reference Park and Park2020). Three meta-analytic reviews focused on the linkage between employee characteristics and adaptive performance (Huang, Ryan, Zabel, & Palmer, Reference Huang, Ryan, Zabel and Palmer2014; Stasielowicz, Reference Stasielowicz2019, Reference Stasielowicz2020). These show that trait ambition (a facet of extraversion and emotional stability), goal orientation traits (but not openness), and cognitive ability link to adaptive performance, indicating that employees who strive for higher achievements and can learn are able to adapt to change (Huang, Ryan, Zabel, & Palmer, Reference Huang, Ryan, Zabel and Palmer2014; Stasielowicz, Reference Stasielowicz2019; Stasielowicz, Reference Stasielowicz2020).We identified three further employee behavior-focused meta-analyses designed to build conceptual clarity for change-related organizational citizenship behaviors (OCB-CH) (Chiaburu, Lorinkova, & Van Dyne, Reference Chiaburu, Lorinkova and Van Dyne2013; Chiaburu et al., Reference Chiaburu, Oh, Stoverink, Park, Bradley and Barros-Rivera2022; Marinova, Peng, Lorinkova, Van Dyne, & Chiaburu, Reference Marinova, Peng, Lorinkova, Van Dyne and Chiaburu2015). Proactive personality is predictive of OCB-CH (Marinova, Peng, Lorinkova, Van Dyne, & Chiaburu, Reference Marinova, Peng, Lorinkova, Van Dyne and Chiaburu2015). Yet, employees who feel part of a positive environment with social support and positive affect are more likely to enact OCB_CH, and this association is stronger than that due to personality traits (Chiaburu, Lorinkova, & Van Dyne, Reference Chiaburu, Lorinkova and Van Dyne2013; Chiaburu et al., Reference Chiaburu, Oh, Stoverink, Park, Bradley and Barros-Rivera2022).

Across the other reviews, change-related employee behaviors comprised digital transformation acceptance, support, and adoption behaviors (Trenerry et al., Reference Trenerry, Chng, Wang, Suhaila, Lim, Lu and Oh2021), compliance, cooperation, or championing (Bouckenooghe, Schwarz, & Minbashian, Reference Bouckenooghe, Schwarz and Minbashian2015; Kamarova et al., Reference Kammeyer-Mueller, Rubenstein and Barnes2024), change support (Bouckenooghe, Schwarz, & Minbashian, Reference Bouckenooghe, Schwarz and Minbashian2015; Rafferty, Jimmieson, & Armenakis, Reference Rafferty, Jimmieson and Armenakis2013; Thundiyil, Chiaburu, Oh, Banks, & Peng, Reference Thundiyil, Chiaburu, Oh, Banks and Peng2015), passive and active resistance (Kamarova et al. Reference Kammeyer-Mueller, Rubenstein and Barnes2024), and change engagement (Jaros, Reference Jaros2010). One review suggested summarizing all possible behavioral responses using the exit, voice, loyalty, and neglect framework to provide a more agentic representation of employees (Khaw et al., Reference Khaw, Alnoor, Al-Abrrow, Tiberius, Ganesan and Atshan2023).

The reviews from the change management literature indicate diverse approaches to classifying employees’ change-related behavioral outcomes. Change-related behavioral responses are dichotomized as either positive, desirable behaviors of acceptance, adoption, proactivity, or support (e.g., Bouckenooghe, Schwarz, & Minbashian, Reference Bouckenooghe, Schwarz and Minbashian2015) versus the negative change-related behaviors of resistance or disengagement (e.g., Hagl, Kanitz, Gonzalez, & Hoegl, Reference Hagl, Kanitz, Gonzalez and Hoegl2024). This dichotomization has been critiqued for discounting resistance behaviors as an irrational response to change by change recipients, whereas it may represent a logical and informed response to change (Ford, Reference Ford1999; Ford, Ford, & D’Amelio, Reference Ford, Ford and D’Amelio2008). Yet reviews continue to dichotomize employee change responses as favorable versus unfavorable (e.g., Hagel et al., Reference Hagl, Kanitz, Gonzalez and Hoegl2024; Yin, Mueller, & Wakslak, Reference Yin, Mueller and Wakslak2024), making employees appear passive at best, and simplistic in their thinking and actions.

Psychological mechanisms

There were mixed levels of evidence of the underlying psychological processes that bridge the gap between the antecedents and outcomes of employee change responses. Eleven reviews used psychological theories to explain responding and its relationship with antecedents and outcomes. Hagl, Kanitz, Gonzalez and Hoegl (Reference Hagl, Kanitz, Gonzalez and Hoegl2024) applied the ability-motivation-opportunity (AMO) framework from the theory of planned behavior (Ajzen, Reference Ajzen1991) as an organizing framework for psychological mechanisms that result in valenced (favorable or unfavorable) employee responses to change. Gonzalez, Portocarrero and Ekema (Reference Gonzalez, Portocarrero and Ekema2022) applied trait activation theory (Tett & Burnett, Reference Tett and Burnett2003), which describes the moderating relationship between trait resistance to change, specifically positive self-concept and risk tolerance, and reactions to change. Bouckenooghe, Schwarz, Kanar and Sanders (Reference Bouckenooghe, Schwarz, Kanar and Sanders2021) applied behavioral agency in social cognition (Bandura, Reference Bandura1988) and social exchange theory (Cropanzano, Reference Cropanzano and Mitchell2005) to explain how employees felt an obligation to the organization or supervisors in exchange for benefits, influenced change responses. Oreg and Berson (Reference Oreg and Berson2019) discussed sensemaking in response to leader sense-giving activities (Gioia & Chittipeddi, Reference Gioia and Chittipeddi1991) as a change response mechanism. Santos de Souza and Chimenti (Reference Santos de Souza and Chimenti2024) build on cognitive appraisal theory (Lazarus & Folkman, Reference Lazarus and Folkman1987). Kamarova, Gagné, Holtrop and Dunlop (Reference Kamarova, Gagné, Holtrop and Dunlop2024) apply self-determination theory of motivation (Deci & Ryan, Reference Deci and Ryan2000) and identify three mechanisms – mastery, meaning, and belongingness – that can add, or if threatened hamper, the internalization of organizational change. They argue that these mechanisms could be the important link between the adoption and maintenance of change. Yin, Mueller and Wakslak (Reference Yin, Mueller and Wakslak2024) argue that valence toward or against change is driven by the uncertainty domain and type. Knight and Parker (Reference Knight and Parker2021) focus on intrinsic motivation from job characteristics theory (Hackman & Oldham, Reference Hackman and Oldham1975) as a mechanism in work design change responses. Baard, Rench and Kozlowski (Reference Baard, Rench and Kozlowski2013) identified a lack of – and need for – process theorizing and research at the individual-level in the change adaptation approach. Beaulieu, Seneviratne and Nowell (Reference Beaulieu, Seneviratne and Nowell2023), who reviewed change fatigue research in nursing, identified that passive acceptance is contributing to feelings of powerlessness and exhaustion, leading to significant employee and organizational consequences. Finally, Elrod and Tippett (Reference Elrod and Tippett2002) provided a small narrative review of five qualitative studies focused on psychological process theories, identifying a typical emotional trajectory of change responses.

Together, this assortment of theories shows scholars’ acknowledgment of both individual and contextual factors influencing change responses via psychological mechanisms, but also points to fragmentation, with theories adopted from a wide range of disciplines. This reflects a lack of any unified or comprehensive theoretical understanding of employees’ psychological responses to change. This theoretical diversity indicates that boundary conditions are needed in change response research to enable theory development and consistent application (Busse, Kach, & Wagner, Reference Busse, Kach and Wagner2017). Moreover, theorization of the psychological mechanisms that work across time, as Kamarova, Gagné, Holtrop and Dunlop (Reference Kamarova, Gagné, Holtrop and Dunlop2024) demonstrate, has the potential to build a more nuanced understanding of how EChO develops and influences outcomes.

Antecedents

We extracted an extensive list of antecedents from the reviews, demonstrating a persistent focus on factors characterizing organizational change as a context and the employee as a target of change. Eight reviews focused solely on antecedents, and the remainder contributed antecedents as contextual variables. Distal antecedents are characteristics of the changing environment context, which could be discrete episodes of change, continuous change, or large-scale transformations in which the employee is acting, and proximal antecedents are directly associated with the employee characteristics. Distinguishing between proximal and distal antecedents in this way is useful as it positions employee characteristics (proximal antecedents) as providing pathways through which the distal antecedents activate EChO.

Distal antecedent – Change context

Various contextual change factors were identified as influencing EChO across the reviews. Three reviews focus on leadership and management, and all identified that encouraging participation, communication, and sense-giving activity can increase positive employee responses to change (Fugate, Reference Fugate, Martocchio, Joshi and Liao2012; Oreg & Berson, Reference Oreg and Berson2019; Peng, Li, Wang, & Lin, Reference Peng, Li, Wang and Lin2020). Peng, Li, Wang and Lin (Reference Peng, Li, Wang and Lin2020) provide a meta-analysis of the linkages between transformational leadership and responses to change, finding that transformational leadership is associated with increased positive and reduced negative attitudes toward change. Further, these three reviews recognize the simplified representation of employee responses as problematic and argue the need for stronger theorizing (Fugate, Reference Fugate, Martocchio, Joshi and Liao2012; Oreg & Berson, Reference Oreg and Berson2019; Peng, Li, Wang, & Lin, Reference Peng, Li, Wang and Lin2020), as well as highlighting the lack of research on whether a leader’s strategic choices impact employee responses (Oreg & Berson, Reference Oreg and Berson2019).

Across the other reviews, contextual factors include the stage of a change program (Gonzalez, Portocarrero, & Ekema, Reference Gonzalez, Portocarrero and Ekema2022), organizational culture (Cheraghi, Ebrahimi, Kheibar, & Sahebihagh, Reference Cheraghi, Ebrahimi, Kheibar and Sahebihagh2023; Gonzalez, Portocarrero, & Ekema, Reference Gonzalez, Portocarrero and Ekema2022), support (Chiaburu, Lorinkova, & Van Dyne, Reference Chiaburu, Lorinkova and Van Dyne2013; Park & Park, Reference Park and Park2019, Reference Park and Park2020), job characteristics (Park & Park, Reference Park and Park2019), uncertainty (Park & Park, Reference Park and Park2019; Yin, Mueller, & Wakslak, Reference Yin, Mueller and Wakslak2024), external pressure, and internal enablers (Rafferty, Jimmieson, & Armenakis, Reference Rafferty, Jimmieson and Armenakis2013). Change context is an important consideration for understanding change responses. However, little evidence was experimental or demonstrated causal linkages. At the same time, this is not uncommon in management research, where researchers cannot randomly assign change conditions or manipulate change implementation in real-world settings. Thus, writing in the change literature often implies a causal link but does not adequately test this (Kamarova et al., Reference Kamarova, Gagné, Holtrop and Dunlop2024).

Distal antecedent – Change content and type

Change content refers to the aspect of the organization being changed, while type refers to the actual change. Two reviews focused on the change type of job design interventions (Knight & Parker, Reference Knight and Parker2021) and digital transformation (Trenerry et al., Reference Trenerry, Chng, Wang, Suhaila, Lim, Lu and Oh2021). Knight and Parker’s (Reference Knight and Parker2021) review focused on the relationship between work redesign interventions and performance outcomes. They ascertain that top-down work redesign interventions improve performance when organizations use participative initiatives involving employees. Trenerry et al (Reference Trenerry, Chng, Wang, Suhaila, Lim, Lu and Oh2021) conclude that employee characteristics and EChO factors are important, but these need to be considered with multilevel factors such as leadership and communication, yet they do not explain the psychological mechanisms involved or how these link to the outcomes of digital transformation.

Change scholars have recognized the complexity of studying the impact of change content on change outcomes due to the lack of control group comparisons and the complexity of change in organizations (Holt, Armenakis, Harris, & Feild, Reference Holt, Armenakis, Harris and Feild2007; Oreg, Vakola, & Armenakis, Reference Oreg, Vakola and Armenakis2011). Across the other 24 reviews, the type or content of change was an antecedent and the change types reviewed were workplace reorganization (Bambra, Egan, Thomas, Petticrew, & Whitehead, Reference Bambra, Egan, Thomas, Petticrew and Whitehead2007; Egan, Bambra, Thomas, Petticrew, Whitehead, & Thomas, Reference Egan, Bambra, Thomas, Petticrew, Whitehead and Thomson2007), privatization (Egan, Petticrew, Ogilvie, Hamilton, & Drever, Reference Egan, Petticrew, Ogilvie, Hamilton and Drever2007), organizational change in general (Bamberger et al., Reference Bamberger, Vinding, Larsen, Nielsen, Fonager, Nielsen, Ryom and Omland2012; Grønstad, Reference Grønstad2017), restructuring (de Jong et al., Reference de Jong, Wiezer, de Weerd, Nielsen, Mattila-Holappa and Mockałło2016), technology change (Johnson et al., Reference Johnson, Dey, Nguyen, Groth, Joyce, Tan, Glozier and Harvey2020), and rapid continuous change (Beaulieu, Seneviratne, & Nowell, Reference Beaulieu, Seneviratne and Nowell2023). Beaulieu, Seneviratne and Nowell (Reference Beaulieu, Seneviratne and Nowell2023) find that multiple changes combined with work intensification contribute significantly to fatigue and burnout. Surprisingly, apart from this more recent review, few reviews recognized or investigated concurrent change events as a contextual factor despite evidence that this layering of change can contribute to change fatigue (McMillan & Perron, Reference McMillan and Perron2020) and can alter responses to change (Kiefer, Hartley, Conway, & Briner, Reference Kiefer, Hartley, Conway and Briner2015). Moreover, except for Beaulieu, Seneviratne and Nowell (Reference Beaulieu, Seneviratne and Nowell2023), these reviews did not identify intermediate employee change response constructs, leaving the mechanism linking change type and employee consequences unspecified.

Distal antecedent – Change process

Two reviews focused on the change process. Hagl, Kanitz, Gonzalez and Hoegl (Reference Hagl, Kanitz, Gonzalez and Hoegl2024) investigated change management interventions and their impact on employee receptivity and adoption of change, finding that the critical change management process factors were communication, involvement, participation, coercion, social influence, reinforcement, and support. Kamarova et al. (Reference Kamarova, Gagné, Holtrop and Dunlop2024) distinguish five key change practices occurring sequentially – diagnosis, preparation, implementation, evaluation, and internalization, with each phase representing shifting employee responses. Across the other reviews, ten mentioned some aspects of the change process that have an impact on change responses, including involvement and participation in the process (Armenakis & Harris, Reference Armenakis and Harris2009), the pace of change, training (Jundt, Shoss, & Huang, Reference Jundt, Shoss and Huang2015), and available resources (Derecho et al., Reference Derecho, Cafino, Aquino-Cafino, Isla, Esencia, Lactuan, Maranda and Velasco2024). Overall, these reviews of the change process provide only weak evidence linking antecedents to outcomes for the employee, the organization, and the change, with more research needed (Hagl, Kanitz, Gonzalez, & Hoegl, Reference Hagl, Kanitz, Gonzalez and Hoegl2024; Kamarova et al., Reference Kamarova, Gagné, Holtrop and Dunlop2024).

Proximal antecedents – Employee characteristics

Employee characteristics include personality traits, cognitive ability, demographics, competencies, experience, goal orientation, coping, stress, motivation, and attitudes. Personality traits were most frequently included (26 of 50 reviews), especially dispositional resistance to change (Oreg, Reference Oreg2003). Other personality traits influencing change responses included risk tolerance, positive self-concept (Gonzalez, Portocarrero & Ekema, Reference Gonzalez, Portocarrero and Ekema2022), and dispositional tendency to uncertainty (Yin, Mueller & Wakslak, Reference Yin, Mueller and Wakslak2024). Park and Park (Reference Park and Park2020) identified cognitive ability as an essential factor in learning new skills as part of change. The competency-based antecedents of knowledge, skills, and abilities were identified as critical for technology change adaptive performance (Derecos et al., Reference Derecho, Cafino, Aquino-Cafino, Isla, Esencia, Lactuan, Maranda and Velasco2024; Jundt, Shoss & Huang, Reference Jundt, Shoss and Huang2015; Park & Park, Reference Park and Park2020). Wellbeing-associated factors, including resilience, coping, fatigue, and stress, were influential antecedents to change behaviors (Cheraghi, Ebrahimi, Kheibar & Sahebihagh, Reference Cheraghi, Ebrahimi, Kheibar and Sahebihagh2023; Trenerry et al., Reference Trenerry, Chng, Wang, Suhaila, Lim, Lu and Oh2021; Vakola, Armenakis, & Oreg, Reference Vakola, Armenakis, Oreg, Oreg, Michel and By2013). Together, these reviews show strong evidence linking individual differences and EChO.

Outcomes

Ten reviews from the field of occupational health focus on employee consequences of organizational change – proximal outcomes. No reviews were found that focused on distal outcomes for either the target change or organizational outcomes. Next, we summarize the literature that relates EChO to proximal and distal outcomes.

Proximal outcomes – Employee consequences of change

These findings demonstrate that organizational change can both negatively and positively impact employee wellbeing and health. We found 12 reviews, predominantly from occupational health literature, emphasizing the harm or benefit to employee wellbeing stemming from organizational change. These systematic reviews consolidate wellbeing effects related to specific macro types of change on populations of employees or micro-changes to job characteristics or conditions (Bambra, Egan, Thomas, Petticrew, & Whitehead, Reference Bambra, Egan, Thomas, Petticrew and Whitehead2007; Egan, Reference Bambra, Egan, Thomas, Petticrew and Whitehead2007; Johnson et al., Reference Johnson, Dey, Nguyen, Groth, Joyce, Tan, Glozier and Harvey2020). Specifically, five focused on the impact of macro-changes of downsizing and job insecurity (Quinlan & Bohle, Reference Quinlan and Bohle2009), privatization (Egan, Petticrew, Ogilvie, Hamilton, & Drever, Reference Egan, Petticrew, Ogilvie, Hamilton and Drever2007), organizational change (Bamberger et al., Reference Bamberger, Vinding, Larsen, Nielsen, Fonager, Nielsen, Ryom and Omland2012; Grønstad, Reference Grønstad2017), and restructuring (de Jong et al., Reference de Jong, Wiezer, de Weerd, Nielsen, Mattila-Holappa and Mockałło2016) on wellbeing. Together, these reviews present evidence that macro-level organizational change contributes to reduced employee wellbeing (de Jong et al., Reference de Jong, Wiezer, de Weerd, Nielsen, Mattila-Holappa and Mockałło2016), an elevated risk of mental health problems (Bamberger et al., Reference Bamberger, Vinding, Larsen, Nielsen, Fonager, Nielsen, Ryom and Omland2012), and adverse occupational health and safety outcomes (Quinlan & Bohle, Reference Quinlan and Bohle2009).

At the micro-level, four reviews investigated the impact of changes to job characteristics or conditions (Bambra, Egan, Thomas, Petticrew, & Whitehead, Reference Bambra, Egan, Thomas, Petticrew and Whitehead2007; Beaulieu, Seneviratne, & Nowell, Reference Beaulieu, Seneviratne and Nowell2023; Egan, Bambra, Thomas, Petticrew, Whitehead, & Thomas, Reference Egan, Bambra, Thomas, Petticrew, Whitehead and Thomson2007; Johnson et al., Reference Johnson, Dey, Nguyen, Groth, Joyce, Tan, Glozier and Harvey2020), rapid continuous change (Beaulieu, Seneviratne, & Nowell, Reference Beaulieu, Seneviratne and Nowell2023), and technology (Johnson et al., Reference Johnson, Dey, Nguyen, Groth, Joyce, Tan, Glozier and Harvey2020) on employee wellbeing. One review identified that organizational changes can positively affect employees, particularly interventions that improve employee participation and control or reduce job demands (Egan, Bambra, Thomas, Petticrew, Whitehead, & Thomas, Reference Egan, Bambra, Thomas, Petticrew, Whitehead and Thomson2007). Usefully, Johnson et al (Reference Johnson, Dey, Nguyen, Groth, Joyce, Tan, Glozier and Harvey2020) highlighted the positive and negative benefits of technological change on employees and the importance of organizations implementing mitigating strategies to maximize employee benefits while reducing negative impacts and turnover. In contrast, changes that reduced control, such as intensified workloads and increased employee demands, had adverse wellbeing effects (Beaulieu, Seneviratne, & Nowell, Reference Beaulieu, Seneviratne and Nowell2023).

Distal outcomes

While seven reviews covered distal outcomes, none were focal aspects of the review. Several reviews noted change effectiveness and failure outcomes stemming from change in resistance and recipient responses, although without direct evidence (Cheraghi, Ebrahimi, Kheibar, & Sahebihagh, Reference Cheraghi, Ebrahimi, Kheibar and Sahebihagh2023; Oreg & Berson, Reference Oreg and Berson2019; Oreg, Vakola, & Armenakis, Reference Oreg, Vakola and Armenakis2011). Distal outcomes included job performance (Gonzalez, Portocarrero, & Ekema, Reference Gonzalez, Portocarrero and Ekema2022; Hagl, Kanitz, Gonzalez, & Hoegl, Reference Hagl, Kanitz, Gonzalez and Hoegl2024; Thundiyil, Chiaburu, Oh, Banks, & Peng, Reference Thundiyil, Chiaburu, Oh, Banks and Peng2015).

Several reviews included organizational performance in frameworks linking change recipient responses to change, also including leadership (Oreg & Berson, Reference Oreg and Berson2019; Oreg, Vakola, & Armenakis, Reference Oreg, Vakola and Armenakis2011). In a review of change management interventions and change outcomes, Hagl, Kanitz, Gonzalez and Hoegl (Reference Hagl, Kanitz, Gonzalez and Hoegl2024) identified a lack of research linking employee responses and behaviors to implementation outcomes, particularly unintended consequences. Similarly, Trenerry et al (Reference Trenerry, Chng, Wang, Suhaila, Lim, Lu and Oh2021) identified that organizational outcomes have not been well studied in digital transformation. It is notable that none of the reviews presented societal outcomes of EChO, indicating that this is not a focus in change research. Overall, even though achieving successful change outcomes provides the rationale for much organizational change, there is surprisingly little evidence of the distal outcomes of EChOs, and they are not well integrated into reviews’ theoretical models and frameworks.

Discussion

Our meta-review takes a broad and comprehensive look at what we can learn from over 70 years of change research, drawing on research from organizational change, occupational health, job design, and adaptive performance. This allows us to develop inclusive answers to our research questions and to develop programmatic theorizing (Cronin, Stouten, & van Knippenberg, Reference Cronin, Stouten and van Knippenberg2021) around employees and organizational change. We bring coherence by classifying these through the development of the meta-construct EChO, which encapsulates employees’ responses to change, change attitudes, psychological mechanisms, and change behaviors. The EChO framework situates the meta-construct EChO relative to the mechanisms through which distal antecedents (e.g., leadership and management practices) and proximal antecedents (e.g., employee characteristics) act on employees and contribute to employee consequences and distal outcomes (e.g., change effectiveness).

In response to research question one: In organizational change research, what constructs have been used to understand antecedents, employee change responses, and outcomes? Our primary contribution is synthesizing the salient factors from the extensive review literature into a theoretical framework of EChO (see Fig. 1) and the EChO taxonomy (see Fig. 3). Whetten (Reference Whetten1989) argues that theory requires a clear description of the factors that should be considered in explaining individual or social phenomena, trading off comprehensiveness and parsimony. As is typical for a meta-review, we err on the side of comprehensiveness, with the EChO framework drawing together a wide range of concepts used to describe and explain employee responses to change and structuring these into one overarching structure.

Relatedly, by arguing how the constructs are situated relative to each other, we answer research question two: In organizational change research, how do these constructs relate to each other? Thus, in our EChO framework depicted in Figure 1, we position attitudinal constructs relative to the change responses and identify the myriad of psychological mechanisms that have been applied to explain the link to change-related behaviors for employees. This use of a meta-construct and development of a meta-framework represents an example of programmatic theorizing within a field, which pulls together the disparate unit theorizing to take a higher-level perspective, which, in turn, encourages future development of theory (Cronin, Stouten, & van Knippenberg, Reference Cronin, Stouten and van Knippenberg2021).

Our second contribution, achieved through synthesizing diverse literature on employees and organizational change, is to highlight both areas of consensus and areas where evidence and theorizing are lacking. This answers research question three: Given the evidence to date, what are the pressing theoretical or empirical issues that can direct future organizational change responses research? Consensus shows stable findings, such as that personality traits influence attitudes to change, such as openness to experience and proactivity, predicting EChO change-related behavior of change support (e.g., Gonzalez, Portocarrero, & Ekema, Reference Gonzalez, Portocarrero and Ekema2022; Stasielowicz, Reference Stasielowicz2019; Vakola, Armenakis, & Oreg, Reference Vakola, Armenakis, Oreg, Oreg, Michel and By2013). Areas of confusion reflect either an absence of or divergent evidence that requires further research. Moreover, while there is considerable evidence of what influences employee change responses, there exists scant evidence of how employee change responses influence change-related and organizational outcomes. The taxonomy (Fig. 3) demonstrates the factors that have received research attention, while the pathway mapping in Figure 2 demonstrates the areas on which research has focused based on the evidence from 50 review articles that draw on over 1,606 primary studies. This is an extensive evidence base, and the links to this expanse of evidence make our framework evidence-based and comprehensive.

Our contribution and response to our third research question is to make eight recommendations for future EChO research, which we will develop in detail below. Specifically, looking across various disciplines and research designs allows us to identify trends and omissions and recommend research design improvements that could yield essential knowledge.

Research recommendations

Broadening our research scope beyond change management and organizational change literature, we include occupational health, job design, and adaptive performance research reviews. We draw on the suggestions contained in the reviews underpinning this meta-review and leverage our own analyses, especially Figure 2, to identify improvements that will yield important evidence to consolidate the knowledge base. First, we briefly discuss research saturation and then provide more detail on areas lacking evidence that provide ample opportunities for exploration.

Research saturation

We have identified research saturation in the relationship between personality traits and attitudes to change. This literature is very mature with established associations. Research on trait-based moderators of change responses provides useful insights into why some employees resist change and others do not. However, their practical application is limited as trait-based constructs are stable and are beyond the control of organizations. Additionally, change is now recognized as a normal and commonplace part of work for employees (Brazzale, Cooper–Thomas, Haar, & Smollan, Reference Brazzale, Cooper–Thomas, Haar and Smollan2022); hence, it is not feasible to select out employees with a dispositional resistance to change. Hence, we recommend a moratorium on this type of research in favor of moving to research on variables that can be controlled or adapted in an environment of continual change.

Multidimensional research of employee responses to change

Multi-dimensional research can elucidate the complex interactions at the heart of EChO, that is, between attitudes, emotions, and behaviors of employees experiencing change. This is particularly important for change ambivalence (Piderit, Reference Piderit2000), that is, employees holding both positive and negative views concurrently. Ambivalence could be a common employee experience, yet it is overlooked in reviews, perhaps because multi-dimensional change responses are complex to investigate. This call to adopt a multidimensional approach reiterates that of other review authors (Bouckenooghe, Schwarz, Kanar, & Sanders, Reference Bouckenooghe, Schwarz, Kanar and Sanders2021). Person-centered analysis (Woo, Hofmans, Wille, & Tay, Reference Woo, Hofmans, Wille and Tay2024) could produce a more nuanced understanding of heterogeneous employee responses to change according to employee subpopulations. (Bouckenooghe, Schwarz, Kanar, & Sanders, Reference Bouckenooghe, Schwarz, Kanar and Sanders2021; Bouckenooghe, Schwarz, & Minbashian, Reference Bouckenooghe, Schwarz and Minbashian2015; Straatmann et al., Reference Straatmann, Rothenhöfer, Meier and Mueller2018).

Research methodology

Many research methodology recommendations were provided through the reviews, including using experimental designs to provide evidence of causality, fuller reporting of interventions to allow accurate analysis, isolating interventions to avoid confounding effects, more longitudinal studies, and examining a more comprehensive range of outcome variables. This set of recommendations would be common in many fields in the management literature where evidence of causality is difficult to generate due to the practical reality of organizational research, and in particular, change. We also recommend research approaches that specifically investigate the psychological mechanisms of EChO, investigating how and why employees form change responses, adapt them, and translate these into behaviors. There is also a need for psychometric measures covering ambivalent responses to change and intentions to conduct specific change behaviors rather than reliance on unidimensional attitudes to change, such as commitment or resistance. We also recommend an increased focus on how these responses and behaviors influence outcomes both for employees and distal outcomes.

Additionally, quantitative findings dominate past reviews, particularly articles focusing on episodes of top-down planned change and utilizing variance-based research designs. Thus, we join organizational change scholars in arguing the need for qualitative change research to add richness to theorizing in this field (de Jong et al., Reference de Jong, Wiezer, de Weerd, Nielsen, Mattila-Holappa and Mockałło2016; Derecos et al., Reference Derecho, Cafino, Aquino-Cafino, Isla, Esencia, Lactuan, Maranda and Velasco2024; Trenerry et al., Reference Trenerry, Chng, Wang, Suhaila, Lim, Lu and Oh2021).

Include qualitative research in the review literature

Most of the 1,606 primary studies included across the 50 reviews were quantitative. This neglects the valuable evidence from qualitative research, perhaps because its depth and nuance make synthesis more difficult. However, this extensive body of qualitative evidence could generate theory development. This issue is not unique to organizational change; blindness to the contribution of qualitative research has been acknowledged in health research and management more generally (Denyer & Tranfield, Reference Denyer and Tranfield2006; Howell Major & Savin-Baden, Reference Howell and Savin2011). However, review methodologies that synthesize the results of qualitative research are now well developed and recognized (Denyer & Tranfield, Reference Denyer and Tranfield2006; Flemming & Noyes, Reference Flemming and Noyes2021). We suggest it is time to thoroughly review and consolidate qualitative research evidence of EChO to improve organizational change theorizing.

Multidisciplinary research

We recommend moving out of our research silos and conducting more multidisciplinary research. Our meta-review identified reviews from distinct, interrelated disciplines: change management, organizational change responses, occupational health, work design, leadership, and adaptive performance. Combining these produces a richer framework to guide EChO response research perspectives. For example, we identified minimal research on affective responses, which are fundamental to wellbeing (Russell & Daniels, Reference Russell and Daniels2018). We find this surprising given the solid evidence of the negative employee impact of changes in our meta-review, such as restructuring, which harms health and wellbeing (Bamberger et al., Reference Bamberger, Vinding, Larsen, Nielsen, Fonager, Nielsen, Ryom and Omland2012; de Jong et al., Reference de Jong, Wiezer, de Weerd, Nielsen, Mattila-Holappa and Mockałło2016). We recommend further research on the relationship between affective change responses and employee consequences, such as change fatigue. Similarly, the work design literature (Knight & Parker, Reference Knight and Parker2021) provided detailed information about the antecedents and outcomes of improvements in work design; however, the researchers did not explain the EChO mechanisms linking these. For example, cross-pollinating occupational health and work design could move knowledge forward on how and when work design change hinders versus benefits employee wellbeing.

Research the association between echo and distal outcomes

The relationship between EChO and change-related outcomes was rarely explored in the change reviews, with only a few examples related to change effectiveness (Oreg & Berson, Reference Oreg and Berson2019; Oreg, Vakola, & Armenakis, Reference Oreg, Vakola and Armenakis2011) and firm performance (Oreg & Berson, Reference Oreg and Berson2019). We encourage more research investigating the association between EChO and both proximal and distal outcomes. Specifically, considering a broader set of distal outcome indicators, such as the effect of EChO on career advancement, organizational reputation, or organizational culture. There may also be important ramifications of organizational change at a societal level that could be investigated, such as changes leading to job insecurity could start a cascade of damaging impacts on employee wellbeing, linking to negative interpersonal outcomes, affecting families and communities (Jiang, Reference Jiang2025). Together, the current evidence of the outcomes of employee responses to change is difficult to reconcile: change can be both good and bad for employees, and employees can be both good and bad for change. Future research should tackle these complexities.

Draw on theorizing in affective and attitudinal research

Improved measurement and understanding of EChO can advance theorizing that explains how EChO links to change outcomes. We leverage recent theorizing on workplace attitudes (Kammeyer-Mueller, Rubenstein, & Barnes, Reference Kammeyer-Mueller, Rubenstein and Barnes2024) for inspiration. Kammeyer-Mueller, Rubenstein and Barnes (Reference Kammeyer-Mueller, Rubenstein and Barnes2024) explain that interventions aimed at attitudes toward a specific topic are more predictive of behavior change than general attitudes. For example, in the context of digital transformation, attitude to change in general will be less predictive of change-related behavior than attitude to attending required digital transformation training. Yet within EChO, research focuses on general attitudes about a change, for example, resistance to change or commitment to change, but not the actual behaviors required to complete the change. Theoretical models would benefit from detailing the reciprocal relationship between attitudes and behaviors, that is, with attitudes influencing behavior and vice versa (Kammeyer-Muller et al., Reference Kammeyer-Mueller, Rubenstein and Barnes2024). This adjustment in theorizing requires longitudinal repeated measures approaches to understand the unfolding process of change. Additionally, researchers have focused on individual attitudes, neglecting the role of social interactions in making meaning that can influence EChO (e.g., de Metz et al., Reference de Metz, Jansen van Rensburg and Davis2024), which could also be a fruitful way to understand EChO.

Consider diverse change paradigms

Finally, our meta-review reveals that planned, top-down change is the dominant paradigm across all 50 reviews, either explicitly or implicitly. This focus was evident in the language scholars used to describe employees as change recipients, and the fact that most primary empirical studies in the reviews investigated single episodic change events. This traditional top-down approach is consistent with the episodic change paradigm described by Weick and Quinn (Reference Weick and Quinn1999), who also highlighted that an episodic change approach fails to capture the multiple and overlapping changes experienced by many employees. Given the ubiquity of change for employees (Brazzale, Cooper–Thomas, Haar, & Smollan, Reference Brazzale, Cooper–Thomas, Haar and Smollan2022), we recommend that researchers of employee change experiences adopt the premise that change is a normal part of working life, the continuous change paradigm Weick and Quinn (Reference Weick and Quinn1999) recommend. Bouckenooghe (Reference Bouckenooghe2010) discussed the importance of testing the validity of current change constructs and measures when adopting this continuous change approach to EChO research. Yet despite these recommendations, only one review focused on continual change: Beaulieu, Seneviratne and Nowell (Reference Beaulieu, Seneviratne and Nowell2023) identified that it negatively impacts across EChO, employees’ health and wellbeing, and organizations. For future research, we recommend adopting the continuous change paradigm to explore EChO. Our EChO framework provides a good starting point for examining continuous change by providing a taxonomy of potential variables to consider and validate in continuous change research.

Practical implications

While change researchers may be presumed to desire to benefit practice, the diversity and breadth of academic literature on organizational change make translation difficult for practitioners (Hamdali et al., Reference Hamdali, Skade, Jarzabkowski, Nicolini, Reinecke, Vaara and Zietsma2024). Reviews provide a particularly rich resource for practitioners by consolidating current evidence, acting as a signpost, and promoting reflective thinking (Rojon, Okupe, & McDowall, Reference Rojon, Okupe and McDowall2021). In developing this meta-review, we considered a practitioner audience of human resource professionals, organizational psychologists, consultants, and change managers. Figures 1 and 3 may be especially useful, with the EChO framework and taxonomy having the potential to help practitioners systematically consider relevant factors when implementing organizational change.

Beyond this, and based on our synthesis, we make the following key recommendations for practitioners. First, the current review literature presents a relatively passive perspective of employees experiencing change, and change practitioners should remain aware of the individual agency of employees. Thus, employees may hold complex and even ambivalent thoughts and feelings about change at work and act upon their unique motivations. Second, practitioners should be aware that the research evidence linking EChO to change-related and organizational outcomes is extremely limited, despite the intuitive appeal of the linkages that exist; more research is needed for definitive explanations of how employees’ orientation to change influences change-related outcomes. Most promise is in process models that position EChO as malleable and developing over time (e.g., Kamarova, Gagné, Holtrop, & Dunlop, Reference Kamarova, Gagné, Holtrop and Dunlop2024). Third, rather than a negative stance of anticipating employee resistance to change, we encourage practitioners to consider the likely range of employee responses according to the type of change event, such as being required to learn a new skill, perceptions of job insecurity, or employee-initiated changes to improve a process. This will allow a broader approach that captures the diversity of employee reactions and can respond in more tailored ways. Fourth, while some organizational changes can positively affect employees, this meta-review also evidenced severe adverse health effects related to certain types and the duration of change. We recommend that practitioners be attentive to prepare for and act on any signs of adverse health impacts from organizational change. Ultimately, organizations often need to make changes to survive and thrive in a changing external environment, and practitioners play a crucial role in preventing harm to those who work in organizations.

Limitations

A meta-review such as this has several limitations. First, we may have missed some review articles. We attempted to mitigate this by conducting additional manual reference and citation searches of identified reviews. However, given that the reviews in our sample have overlapping primary studies and, consequently, intersecting recommendations, it is unlikely that a small number of additional reviews would significantly change our findings. Second, the personal biases of the authorship team may affect our decisions and interpretations. Offsetting this possibility, we engaged in a team approach to developing search strings and the inclusion and exclusion of reviews to minimize the possibility of bias. We also used strict selection criteria for articles to ensure objectivity and minimize selection bias. Third, a broader limitation relevant to meta-reviews is they can report only on the state of evidence selected by the included reviews, and therefore, they are subject to those review authors’ biases in selecting primary studies and topics. Thus, we may have identified problems in our review that are artifacts of the literature sample selected by original review authors. For example, as we noted above, there is a substantial qualitative organizational change literature that past reviews largely overlook.

Conclusion

Organizational change is frequent and disruptive, with approximately three in four employees experiencing change at any time (Brazzale, Cooper–Thomas, Haar, & Smollan, Reference Brazzale, Cooper–Thomas, Haar and Smollan2022). Rates of change are only likely to increase as societal, economic, technological, and political forces shape how we work and organize work (Fraccaroli, Zaniboni, & Truxillo, Reference Fraccaroli, Zaniboni and Truxillo2024; Kohnke, Nieland, Straatmann, & Mueller, Reference Kohnke, Nieland, Straatmann and Mueller2024); therefore, research insights on organizational change can have substantial theoretical and practical benefits. Our meta-review shows a saturation of research exploring the link between personality and EChO. We have good evidence of the effects of certain types of change on employee health outcomes. Attitudinal constructs related to organizational change are maturing in definitional and construct clarity, yet there is inadequate evidence of how these responses influence change and organizational outcomes. Theoretical development of the psychological mechanisms contributing to these outcomes is dispersed and needs the development of a theory that considers the evolving nature of change, the impact of employee change-related consequences on EChO. Moreover, given that change is an ever-present part of working life, research should incorporate employees as active change participants, conceptually and empirically. Based on the meta-review findings, we recommend broadening the range of research designs used, including multi-dimensional approaches to investigating EChO, strengthening the organizational change knowledge base by utilizing qualitative research to build new theories starting with its inclusion in the review literature, adopting multidisciplinary research approaches, continue to research the association between EChO and distal outcomes, inclusion of theorizing in affective and attitudinal research and adopting a broader perspective on change that includes the impact of continuous change. Given the increasing velocity and position of organizational change as a standard part of working life, researchers can and should provide more accurate insights and impactful knowledge of how employees change orientation and their association with outcomes for employees, organizational change, and organizations.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/jmo.2025.10051.

Competing interests

No competing interests have been identified by the authors.

References

(*denotes included review articles)Google Scholar
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179211. https://doi.org/10.1016/0749-5978(91)90020-TCrossRefGoogle Scholar
Armenakis, A. A., & Bedeian, A. G. (1999). Organizational change: A review of theory and research in the 1990s. Journal of Management, 25(3), 293315. https://doi.org/10.1177/014920639902500303CrossRefGoogle Scholar
*Armenakis, A. A., & Harris, S. G. (2009). Reflections: Our journey in organizational change research and practice. Journal of Change Management, 9(2), 127142. https://doi.org/10.1080/14697010902879079CrossRefGoogle Scholar
*Baard, S. K., Rench, T. A., & Kozlowski, S. W. J. (2013). Performance adaptation: A theoretical integration and review. Journal of Management, 40(1), 4899. https://doi.org/10.1177/0149206313488210CrossRefGoogle Scholar
*Bamberger, S. G., Vinding, A. L., Larsen, A., Nielsen, P., Fonager, K., Nielsen, R. N., Ryom, P., & Omland, Ø. (2012). Impact of organisational change on mental health: A systematic review. Occupational & Environmental Medicine, 69(8), 592598. https://doi.org/10.1136/oemed-2011-100381CrossRefGoogle ScholarPubMed
*Bambra, C., Egan, M., Thomas, S., Petticrew, M., & Whitehead, M. (2007). The psychosocial and health effects of workplace reorganisation. 2. A systematic review of task restructuring interventions. Journal of Epidemiology & Community Health, 61(12), 10281037. https://doi.org/10.1136/jech.2006.054999CrossRefGoogle ScholarPubMed
Bandura, A. (1988). Organisational applications of social cognitive theory. Australian Journal of Management, 13(2), 275302.10.1177/031289628801300210CrossRefGoogle Scholar
Bartunek, J. M., & Jones, E. B. (2017). How organizational transformation has been continuously changing and not changing. Research in Organizational Change and Development, 25, 143169. https://doi.org/10.1108/s0897-301620170000025004CrossRefGoogle Scholar
*Beaulieu, L., Seneviratne, C., & Nowell, L. (2023). Change fatigue in nursing: An integrative review. Journal of Advanced Nursing, 79(2), 454470. https://doi.org/10.1111/jan.15546CrossRefGoogle ScholarPubMed
Booth, A., & Carroll, C. (2015). How to build up the actionable knowledge base: The role of ‘best fit’ framework synthesis for studies of improvement in healthcare. British Medical Journal of Quality & Safety, 24(11), 700708. https://doi.org/10.1136/bmjqs-2014-003642Google ScholarPubMed
*Bouckenooghe, D. (2010). Positioning change recipients’ attitudes toward change in the organizational change literature. The Journal of Applied Behavioral Science, 46(4), 500531. https://doi.org/10.1177/0021886310367944CrossRefGoogle Scholar
*Bouckenooghe, D., Schwarz, G. M., Kanar, A., & Sanders, K. (2021). Revisiting research on attitudes toward organizational change: Bibliometric analysis and content facet analysis. Journal of Business Research, 135(135), 137148. https://doi.org/10.1016/j.jbusres.2021.06.028CrossRefGoogle Scholar
*Bouckenooghe, D., Schwarz, G. M., & Minbashian, A. (2015). Herscovitch and Meyer’s three-component model of commitment to change: Meta-analytic findings. European Journal of Work and Organizational Psychology, 24(4), 578595. https://doi.org/10.1080/1359432X.2014.963059CrossRefGoogle Scholar
Brazzale, P. L., Cooper–Thomas, H. D., Haar, J., & Smollan, R. K. (2022). Change ubiquity: Employee perceptions of change prevalence from three countries. Personnel Review, 51(2), 770786. https://doi.org/10.1108/pr-04-2019-0211CrossRefGoogle Scholar
Burnes, B. (2015). Understanding resistance to change – Building on coch and French. Journal of Change Management, 15(2), 92116. https://doi.org/10.1080/14697017.2014.969755CrossRefGoogle Scholar
Busse, C., Kach, A. P., & Wagner, S. M. (2017). Boundary conditions: What they are, how to explore them, why we need them, and when to consider them. Organizational Research Methods, 20(4), 574609. https://doi.org/10.1177/1094428116641191CrossRefGoogle Scholar
Byron, K., & Thatcher, S. M. (2016). Editors’ comments:“What I know now that I wish I knew then”—Teaching theory and theory building. Academy of Management Review, 41(1), 18.10.5465/amr.2015.0094CrossRefGoogle Scholar
*Caci, L., Nyantakyi, E., Blum, K., Sonpar, A., Schultes, M.-T., Albers, B., & Clack, L. (2025). Organizational readiness for change: A systematic review of the healthcare literature. Implementation Research and Practice, 6, 26334895251334536. https://doi.org/10.1177/26334895251334536CrossRefGoogle Scholar
*Cheraghi, R., Ebrahimi, H., Kheibar, N., & Sahebihagh, M. H. (2023). Reasons for resistance to change in nursing: An integrative review. BMC Nursing, 22(1), 19. https://doi.org/10.1186/s12912-023-01460-0CrossRefGoogle ScholarPubMed
*Chiaburu, D. S., Lorinkova, N. M., & Van Dyne, L. (2013). Employees’ social context and change-oriented citizenship: A meta-analysis of leader, coworker, and organizational influences. Group & Organization Management, 38(3), 291333. https://doi.org/10.1177/1059601113476736CrossRefGoogle Scholar
*Chiaburu, D. S., Oh, I.-S., Stoverink, A. C., Park, H., Bradley, C., & Barros-Rivera, B. A. (2022). Happy to help, happy to change? A meta-analysis of major predictors of affiliative and change-oriented organizational citizenship behaviors. Journal of Vocational Behavior, 132, 103664. https://doi.org/10.1016/j.jvb.2021.103664Google Scholar
*Choi, M. (2011). Employees’ attitudes toward organizational change: A literature review. Human Resource Management, 50(4), 479500. https://doi.org/10.1002/hrm.20434CrossRefGoogle Scholar
*Cieslak, V., & Valor, C. (2025). Moving beyond conventional resistance and resistors: An integrative review of employee resistance to digital transformation. Cogent Business & Management, 12(1), 2442550. https://doi.org/10.1080/23311975.2024.2442550CrossRefGoogle Scholar
Cronin, M. A., Stouten, J., & van Knippenberg, D. (2021). The theory crisis in management research: Solving the right problem. Academy of Management Review, 46(4), 667683. https://doi.org/10.5465/amr.2019.0294CrossRefGoogle Scholar
Cropanzano, R., & Mitchell, M. S. (2005). Social exchange theory: An interdisciplinary review. Journal of Management, 31(6), 874900. https://doi.org/10.1177/0149206305279602CrossRefGoogle Scholar
Deci, E. L., & Ryan, R. M. (2000). The “What” and “Why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11,227–268. https://doi.org/10.1207/S15327965PLI1104_01Google Scholar
*de Jong, T., Wiezer, N., de Weerd, M., Nielsen, K., Mattila-Holappa, P., & Mockałło, Z. (2016). The impact of restructuring on employee well-being: A systematic review of longitudinal studies. Work & Stress, 30(1), 91114. https://doi.org/10.1080/02678373.2015.1136710CrossRefGoogle Scholar
de Metz, N., Jansen van Rensburg, M., & Davis, A. (2024). Shared sensemaking during a strategic change process: A non-managerial perspective. Journal of Strategy and Management, 17(4), 763780. https://doi.org/10.1108/jsma-10-2023-0264CrossRefGoogle Scholar
Dent, E. B., & Goldberg, S. G. (1999). Challenging “Resistance to Change.” The Journal of Applied Behavioral Science, 35(1), 2541. https://doi.org/10.1177/0021886399351003CrossRefGoogle Scholar
Denyer, D., & Tranfield, D. (2006). Using qualitative research synthesis to build an actionable knowledge base. Management Decision, 44(2), 213227. https://doi.org/10.1108/00251740610650201CrossRefGoogle Scholar
Denyer, D., & Tranfield, D. A. (2009). Producing a systematic review. In Buchanan, D. A., and Bryman, A. (Eds.), The SAGE handbook of organizational research methods (pp. 671689). SAGE Publications Ltd.Google Scholar
*Derecho, K. C., Cafino, R., Aquino-Cafino, S. L., Isla, A., Esencia, J. A., Lactuan, N. J., Maranda, J. A. G., & Velasco, L. C. P. (2024). Technology adoption of electronic medical records in developing economies: A systematic review on physicians’ perspective. Digital Health, 10, 20552076231224605. https://doi.org/10.1177/20552076231224605CrossRefGoogle ScholarPubMed
Eby, L. T., Adams, D. M., Russell, J. E., & Gaby, S. H. (2000). Perceptions of organizational readiness for change: Factors related to employees’ reactions to the implementation of team-based selling. Human Relations, 53(3), 419442. https://doi.org/10.1177/0018726700533006CrossRefGoogle Scholar
*Egan, M., Bambra, C., Thomas, S., Petticrew, M., Whitehead, M., & Thomson, H. (2007). The psychosocial and health effects of workplace reorganisation: A systematic review of organisational-level interventions that aim to increase employee control. Journal of Epidemiology & Community Health, 61(11), 945954. https://doi.org/10.1136/jech.2006.054965Google ScholarPubMed
*Egan, M., Petticrew, M., Ogilvie, D., Hamilton, V., & Drever, F. (2007). ”Profits before people”? A systematic review of the health and safety impacts of privatising public utilities and industries in developed countries. Journal of Epidemiology & Community Health, 61(10), 862870. https://doi.org/10.1136/jech.2006.053231CrossRefGoogle ScholarPubMed
*Elrod, P. D., & Tippett, D. D. (2002). The “death valley” of change. Journal of Organizational Change Management, 15(3), 273291. https://doi.org/10.1108/09534810210429309Google Scholar
*Erwin, D. G., & Garman, A. N. (2010). Resistance to organizational change: Linking research and practice. Leadership & Organization Development Journal, 31(1), 3956. https://doi.org/10.1108/01437731011010371CrossRefGoogle Scholar
Flemming, K., & Noyes, J. (2021). Qualitative evidence synthesis: Where are we at? International Journal of Qualitative Methods, 20. https://doi.org/10.1177/1609406921993276CrossRefGoogle Scholar
Ford, J. D. (1999). Organizational change as shifting conversations. Journal of Organizational Change Management, 12(6), 480500. https://doi.org/10.1108/09534819910300855Google Scholar
Ford, J. D., Ford, L. W., & D’Amelio, A. (2008). Resistance to change: The rest of the story. Academy of Management Review, 33(2), 362377. https://doi.org/10.5465/AMR.2008.31193235CrossRefGoogle Scholar
*Fox, K. E., Johnson, S. T., Berkman, L. F., Sianoja, M., Soh, Y., Kubzansky, L. D., & Kelly, E. L. (2022). Organisational- and group-level workplace interventions and their effect on multiple domains of worker well-being: A systematic review. Work & Stress, 36(1), 3059. https://doi.org/10.1080/02678373.2021.1969476CrossRefGoogle Scholar
Fraccaroli, F., Zaniboni, S., & Truxillo, D. M. (2024). Challenges in the new economy: A new era for work design. Annual Review of Organizational Psychology and Organizational Behavior, 11, 307335. https://doi.org/10.1146/annurev-orgpsych-081722-053704Google Scholar
*Fugate, M. (2012). The impact of leadership, management, and HRM on employee reactions to organizational change. In Martocchio, J. J., Joshi, A. & Liao, H. (Eds.), Research in personnel and human resource management (vol. 31, pp. 177208). Emerald. https://doi.org/10.1108/S0742-7301(2012)0000031007CrossRefGoogle Scholar
Gioia, D. A., & Chittipeddi, K. (1991). Sensemaking and sensegiving in strategic change initiation. Strategic Management Journal, 12(6), 433448. https://doi.org/10.1002/smj.4250120604Google Scholar
*Gonzalez, K., Portocarrero, F. F., & Ekema, M. L. (2022). Disposition activation during organizational change: A meta‐analysis. Personnel Psychology, 76(3), 829883. https://doi.org/10.1111/peps.12513Google Scholar
*Grønstad, A. F. (2017). Exploring work-related attributions of sickness absence during organizational change. International Journal of Workplace Health Management, 10(3), 192212. https://doi.org/10.1108/ijwhm-03-2016-0012Google Scholar
Hackman, J. R., & Oldham, G. R. (1975). Development of the Job Diagnostic Survey. Journal of Applied Psychology, 60(2), 159170.Google Scholar
*Hagl, C., Kanitz, R., Gonzalez, K., & Hoegl, M. (2024). Change management interventions: Taking stock and moving forward. Human Resource Management Review, 34(1), 101000. https://doi.org/10.1016/j.hrmr.2023.101000Google Scholar
Hamdali, Y., Skade, L., Jarzabkowski, P., Nicolini, D., Reinecke, J., Vaara, E., & Zietsma, C. (2024). Practicing impact and impacting practice? Creating impact through practice-based scholarship. Journal of Management Inquiry, 33(3), 230243.10.1177/10564926231219621CrossRefGoogle Scholar
Herscovitch, L., & Meyer, J. P. (2002). Commitment to organizational change: Extension of a three-component model. Journal of Applied Psychology, 87(3), 474487. https://doi.org/10.1037//0021-9010.87.3.474CrossRefGoogle ScholarPubMed
*Holt, D. T., Armenakis, A. A., Harris, S. G., & Feild, H. S. (2007). Toward a comprehensive definition of readiness for change: A review of research and instrumentation. Research in Organizational Change and Development, 16, 289336. https://doi.org/10.1016/S0897-3016(06)16009-7Google Scholar
HowellMajor, C., & Savin-Baden, M. (2011). Integration of qualitative evidence: Towards construction of academic knowledge in social science and professional fields. Qualitative Research, 11(6), 645-663. https://doi.org/10.1177/1468794111413367Google Scholar
*Huang, J. L., Ryan, A. M., Zabel, K. L., & Palmer, A. (2014). Personality and adaptive performance at work: A meta-analytic investigation. Journal of Applied Psychology, 99(1), 162179. https://doi.org/10.1037/a0034285Google ScholarPubMed
*Huo, Y., Couzner, L., Windsor, T., Laver, K., Dissanayaka, N. N., & Cations, M. (2023). Barriers and enablers for the implementation of trauma-informed care in healthcare settings: A systematic review. Implementation Science Communications, 4(1), 49. https://doi.org/10.1186/s43058-023-00428-0CrossRefGoogle ScholarPubMed
*Jaros, S. (2010). Commitment to organizational change: A critical review. Journal of Change Management, 10(1), 79108. https://doi.org/10.1080/14697010903549457Google Scholar
Jiang, K., & Messersmith, J. (2017). On the shoulders of giants: A meta-review of strategic human resource management. The International Journal of Human Resource Management, 29(1), 633. https://doi.org/10.1080/09585192.2017.1384930CrossRefGoogle Scholar
Jiang, L. (2025). An integrative review of moderators attenuating or exacerbating negative outcomes of job insecurity. Academy of Management Annals, 19(2)., 565–601. https://doi.org/10.5465/annals.2024.0040.CrossRefGoogle Scholar
*Johnson, A., Dey, S., Nguyen, H., Groth, M., Joyce, S., Tan, L., Glozier, N., & Harvey, S. B. (2020). A review and agenda for examining how technology-driven changes at work will impact workplace mental health and employee well-being. Australian Journal of Management, 45(3), 402424. https://doi.org/10.1177/0312896220922292CrossRefGoogle Scholar
*Jundt, D. K., Shoss, M. K., & Huang, J. L. (2015). Individual adaptive performance in organizations: A review. Journal of Organizational Behavior, 36(S1), S53S71. https://doi.org/10.1002/job.1955Google Scholar
*Kamarova, S., Gagné, M., Holtrop, D., & Dunlop, P. D. (2024). Integrating behavior and organizational change literatures to uncover crucial psychological mechanisms underlying the adoption and maintenance of organizational change. Journal of Organizational Behavior, 46(2), 263287. https://doi.org/10.1002/job.2832CrossRefGoogle Scholar
Kammeyer-Mueller, J. D., Rubenstein, A. L., & Barnes, T. S. (2024). The role of attitudes in work behavior. Annual Review of Organizational Psychology and Organizational Behavior, 11(1), 221250. https://doi.org/10.1146/annurev-orgpsych-101022-101333CrossRefGoogle Scholar
Kepes, S., Banks, G. C., & Oh, I.-S. (2014). Avoiding bias in publication bias research: The value of “null” findings. Journal of Business and Psychology, 29, 183203. https://doi.org/10.1007/s10869-012-9279-0CrossRefGoogle Scholar
*Khaw, K. W., Alnoor, A., Al-Abrrow, H., Tiberius, V., Ganesan, Y., & Atshan, N. A. (2023). Reactions towards organizational change: A systematic literature review. Current Psychology, 42(22), 1913719160. https://doi.org/10.1007/s12144-022-03070-6Google Scholar
Kiefer, T. (2005). Feeling bad: Antecedents and consequences of negative emotions in ongoing change. Journal of Organizational Behavior, 26(8), 875897. https://doi.org/10.1002/job.339CrossRefGoogle Scholar
Kiefer, T., Hartley, J., Conway, N., & Briner, R. B. (2015). Feeling the squeeze: Public employees’ experiences of cutback and innovation related organizational changes following a national announcement of budget reductions. Journal of Public Administration Research and Theory, 25(4), 12791305. https://doi.org/10.1093/jopart/muu042CrossRefGoogle Scholar
Kim, T. G., Hornung, S., & Rousseau, D. M. (2011). Change-supportive employee behavior: Antecedents and the moderating role of time. Journal of Management, 37(6), 16641693. https://doi.org/10.1177/0149206310364243CrossRefGoogle Scholar
*Knight, C., & Parker, S. K. (2021). How work redesign interventions affect performance: An evidence-based model from a systematic review. Human Relations, 74(1), 69104. https://doi.org/10.1177/0018726719865604CrossRefGoogle Scholar
Kohnke, O., Nieland, T., Straatmann, T., & Mueller, K. (2024). How do management factors influence digital adoption in the case of a large-scale digital transformation project – A process perspective. Journal of Management & Organization, 30(5), 15641584. https://doi.org/10.1017/jmo.2023.59CrossRefGoogle Scholar
Lambert, B. K., B, B. C., Trinh, E., & Ashford, S. (2022). Individual-centered interventions: Identifying what, how, and why interventions work in organizational contexts. Academy of Management Annals, 16(2), 508546. https://doi.org/10.5465/annals.2020.0351CrossRefGoogle Scholar
Lazarus, R. S., & Folkman, S. (1987). Transactional theory and research on emotions and coping. European Journal of Personality, 1, 141169. https://doi.org/10.1002/per.2410010304CrossRefGoogle Scholar
*Marinova, S. V., Peng, C., Lorinkova, N. M., Van Dyne, L., & Chiaburu, D. S. (2015). Change-oriented behavior: A meta-analysis of individual and job design predictors. Journal of Vocational Behavior, 88, 104120. https://doi.org/10.1016/j.jvb.2015.02.006CrossRefGoogle Scholar
McMillan, K., & Perron, A. (2020). Change fatigue in nurses: A qualitative study. Journal of Advanced Nursing, 76(10), 26272636. https://doi.org/10.1111/jan.14454CrossRefGoogle ScholarPubMed
*Mikel-Hong, K., Li, N., Yu, J., & Chen, X. (2023). Resistance to change: Unraveling the roles of change strategists, agents, and recipients. Journal of Management, 50(6), 19842011. https://doi.org/10.1177/01492063231198189CrossRefGoogle Scholar
Oreg, S. (2003). Resistance to change: Developing an individual differences measure. Journal of Applied Psychology, 88(4), 680693. https://doi.org/10.1037/0021-9010.88.4.680CrossRefGoogle ScholarPubMed
Oreg, S. (2006). Personality, context, and resistance to organizational change. European Journal of Work and Organizational Psychology, 15(1), 73101. https://doi.org/10.1080/13594320500451247Google Scholar
Oreg, S., Bartunek, J. M., Gayoung, L., & Do, B. (2018). An affect-based model of recipients’ responses to organizational change events. Academy of Management Review, 43(1), 6586. https://doi.org/10.5465/amr.2014.0335CrossRefGoogle Scholar
Oreg, S., Bayazıt, M., Vakola, M., Arciniega, L., Armenakis, A., Barkauskiene, R., Bozionelos, N., Fujimoto, Y., González, L., Han, J., Hřebíčková, M., Jimmieson, N., Kordačová, J., Mitsuhashi, H. L., Mlačić, B., Ferić, I., Topić, M. K., Ohly, S., Saksvik, P. Ø., & van Dam, K. (2018). Measurement equivalence of the dispositional resistance to change scale. In Davidov, E., Schmidt, P., Billiet, J. & Meuleman, B. (Eds.), Cross-cultural analysis: Methods and applications (2nd ed., pp. 215244). Taylor and Francis. https://doi.org/10.4324/9781315537078Google Scholar
*Oreg, S., & Berson, Y. (2019). Leaders’ impact on organizational change: Bridging theoretical and methodological chasms. Academy of Management Annals, 13(1), 272307. https://doi.org/10.5465/annals.2016.0138Google Scholar
*Oreg, S., Vakola, M., & Armenakis, A. A. (2011). Change recipients’ reactions to organizational change: A 60-year review of quantitative studies. The Journal of Applied Behavioral Science, 47(4), 461524. https://doi.org/10.1177/0021886310396550CrossRefGoogle Scholar
*Park, S., & Park, S. (2019). Employee adaptive performance and its antecedents: Review and synthesis. Human Resource Development Review, 18(3), 294324. https://doi.org/10.1177/1534484319836315CrossRefGoogle Scholar
*Park, S., & Park, S. (2020). How can employees adapt to change? Clarifying the adaptive performance concepts. Human Resource Development Quarterly, 32(1), 115. https://doi.org/10.1002/hrdq.21411Google Scholar
Paulet, R., Holland, P., & Morgan, D. (2021). A meta‐review of 10 years of green human resource management: Is Green HRM headed towards a roadblock or a revitalisation? Asia Pacific Journal of Human Resources, 59(2), 159183. https://doi.org/10.1111/1744-7941.12285CrossRefGoogle Scholar
*Peng, J., Li, M., Wang, Z., & Lin, Y. (2020). Transformational leadership and employees’ reactions to organizational change: Evidence from a meta-analysis. The Journal of Applied Behavioral Science, 57(3), 369397. https://doi.org/10.1177/0021886320920366Google Scholar
Piderit, S. K. (2000). Rethinking resistance and recognizing ambivalence: A multi-dimensional view of attitudes toward an organizational change. Academy of Management Review, 25(4), 783794. https://doi.org/10.5465/AMR.2000.3707722Google Scholar
Potosky, D., & Azan, W. (2023). Leadership behaviors and human agency in The Valley of despair: A meta-framework for organizational change implementation. Human Resource Management Review, 33(1). https://doi.org/10.1016/j.hrmr.2022.100927Google Scholar
*Quinlan, M., & Bohle, P. (2009). Overstretched and unreciprocated commitment: Reviewing research on the occupational health and safety effects of downsizing and job insecurity. International Journal of Health Services, 39(1), 144. https://doi.org/10.2190/HS.39.1.aCrossRefGoogle ScholarPubMed
*Rafferty, A. E., Jimmieson, N. L., & Armenakis, A. A. (2013). Change readiness: A multilevel review. Journal of Management, 39(1), 110135. https://doi.org/10.1177/0149206312457417CrossRefGoogle Scholar
Rojon, C., Okupe, A., & McDowall, A. (2021). Utilization and development of systematic reviews in management research: What do we know and where do we go from here? International Journal of Management Reviews, 23(2), 191223. https://doi.org/10.1111/ijmr.12245Google Scholar
Rosenbaum, D., More, E., & Steane, P. (2017). A longitudinal qualitative case study of change in nonprofits: Suggesting a new approach to the management of change. Journal of Management and Organization, 23(1), 7491. https://doi.org/10.1017/jmo.2016.6CrossRefGoogle Scholar
Russell, E., & Daniels, K. (2018). Measuring affective well-being at work using short-form scales: Implications for affective structures and participant instructions. Human Relations, 71(11), 14781507. https://doi.org/10.1177/0018726717751034Google ScholarPubMed
*Santos de Souza, F. D. O., & Chimenti, P. (2024). Emotions in organizational change: An integrative review. Journal of Change Management, 140. https://doi.org/10.1080/14697017.2024.2345078Google Scholar
Schwarz, G. M., & Bouckenooghe, D. (2021). Repositioning organizational failure through active acceptance. Organization Theory, 2(4). https://doi.org/10.1177/26317877211054854CrossRefGoogle Scholar
*Scott, K., Dawson, G., & Quach, J. (2025). How are we measuring domains that influence teacher readiness for change? A scoping review of existing instruments in non-tertiary settings. Journal of Educational Change, 26(2), 201238. https://doi.org/10.1007/s10833-024-09521-0Google Scholar
Smollan, R. K. (2011). The multi-dimensional nature of resistance to change. Journal of Management & Organization, 17(6), 828849. 10.5172/jmo.2011.828Google Scholar
*Stasielowicz, L. (2019). Goal orientation and performance adaptation: A meta-analysis. Journal of Research in Personality, 82, 113. https://doi.org/10.1016/j.jrp.2019.103847Google Scholar
*Stasielowicz, L. (2020). How important is cognitive ability when adapting to changes? A meta-analysis of the performance adaptation literature. Personality and Individual Differences, 166, 111. https://doi.org/10.1016/j.paid.2020.110178CrossRefGoogle Scholar
Stouten, J., Rousseau, D. M., & De Cremer, D. (2018). Successful organizational change: Integrating the management practice and scholarly literatures. Academy of Management Annals, 12(2), 752788. https://doi.org/10.5465/annals.2016.0095CrossRefGoogle Scholar
Straatmann, T., Rothenhöfer, L. M., Meier, A., & Mueller, K. (2018). A configurational perspective on the theory of planned behaviour to understand employees’ change-supportive intentions. Applied Psychology: An International Review, 67(1), 91135. https://doi.org/10.1111/apps.12120CrossRefGoogle Scholar
Tett, R. P., & Burnett, D. D. (2003). A personality trait-based interactionist model of job performance. Journal of Applied Psychology, 88(3), 500517. https://doi.org/10.1037/0021-9010.88.3.500CrossRefGoogle ScholarPubMed
*Thundiyil, T. G., Chiaburu, D. S., Oh, I.-S., Banks, G. C., & Peng, A. C. (2015). Cynical about change? A preliminary meta-analysis and future research agenda. The Journal of Applied Behavioral Science, 51(4), 429450. https://doi.org/10.1177/0021886315603122Google Scholar
*Trenerry, B., Chng, S., Wang, Y., Suhaila, Z. S., Lim, S. S., Lu, H. Y., & Oh, P. H. (2021). Preparing workplaces for digital transformation: An integrative review and framework of multi-level factors. Frontiers in Psychology, 12, 620766. https://doi.org/10.3389/fpsyg.2021.620766Google ScholarPubMed
*Vakola, M., Armenakis, A. A., & Oreg, S. (2013). Reactions to organizational change from an individual differences perspective: A review of empirical research. In Oreg, S., Michel, A. & By, R. T. (Eds.), The psychology of organizational change: Viewing change from the employee’s perspective (pp. 95122). Cambridge University Press. https://doi.org/10.1017/CBO9781139096690Google Scholar
Wanberg, C. R., & Banas, J. T. (2000). Predictors and outcomes of openness to changes in a reorganizing workplace. Journal of Applied Psychology, 85(1), 132142. https://doi.org/10.1037//0021-9010.85.1.132Google Scholar
Weick, K. E., & Quinn, R. E. (1999). Organizational change and development. Annual Review of Psychology, 50(1), 361386. https://doi.org/10.1002/9780470753408.ch10Google ScholarPubMed
Whetten, D. A. (1989). What constitutes a theoretical contribution? Academy of Management Review, 14(4), 490495.Google Scholar
Woo, S. E., Hofmans, J., Wille, B., & Tay, L. (2024). Person-centered modeling: Techniques for studying associations between people rather than variables. Annual Review of Organizational Psychology and Organizational Behavior, 11(1), 453480. https://doi.org/10.1146/annurev-orgpsych-110721-045646Google Scholar
*Yin, Y., Mueller, J., & Wakslak, C. (2024). Understanding how people react to change: A domain of uncertainty approach. Academy of Management Annals, 18(2), 712754. https://doi.org/10.5465/annals.2022.0033Google Scholar
Figure 0

Figure 1. The Employee Change Orientation (EChO) Framework.

Figure 1

Figure 2. Pathway analysis and status-quo map applying the EChO Framework. Note: Each letter represents a pathway addressed in a published review. In brackets is the number of reviews that included studies of the pathway. A - both distal and proximal antecedents to EChO; B - proximal antecedents to EChO; C - EChO to proximal outcomes; D - EChO constructs and mechanisms; E - proximal antecedents to proximal outcomes; F - distal antecedents to EChO; G - EChO to Distal outcomes (7/9 organizational outcomes; 4/9 change-related outcomes); H - distal antecedents to proximal outcomes.

Figure 2

Figure 3. The Employee Change Orientation (EChO) Taxonomy.

Figure 3

Table 1. Summary of reviews organized into reviews with a primary focus on antecedents, employee change orientation (EChO), and outcomes

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