Team innovation is nurtured by the combination of team members’ diverse knowledge and collaborative teamwork. Previous research predominantly assumed a linear interaction between knowledge diversity and network density in predicting team innovation. A pivotal question arises: How do varying levels of knowledge diversity and network density interact to influence team innovation? To address this complex question, we conducted a machine-learning inductive study, leveraging its ability to uncover curvilinear interactive patterns between knowledge diversity and network density in fostering team innovation. We collected comprehensive, multisource data from 1,883 teams within a prominent high-technology firm in China over a four-year period from 2014 to 2017. The results indicate that knowledge diversity and network density exhibit a curvilinear interactive effect on team innovation. The two factors reinforce each other in the initial stage and foster peak innovation with an optimal balance at a medium-to-high level. Beyond this threshold, however, the two factors begin to restrain each other’s effectiveness. Consistent with the perspective of yin-yang balancing, this study deepens our understanding of the paradoxical joint effects of knowledge diversity and network density on team innovation.

What happens when scientists, dedicated to basic scientific research, are called forth to participate in politically fraught scenarios? We explore this question through a qualitative study of the intimate experiences of scientists who developed the first Argentine National Glacier Inventory (2010–2018). This inventory was entrusted to IANIGLA, a state-funded scientific institute. It arose from the world’s first glacier protection law, drafted to protect all glacier and periglacial environments as hydrological reserves as mining megaprojects encroached on them. This article examines the failed attempts to turn periglacial environments into “governable objects” (Hellgren 2022). Interviews and an auto-ethnography among scientists involved reveal that these failures can be attributed to unresolved tensions in upscaling and downscaling practices that are needed to simultaneously produce world-class climate science and locally relevant policy science. The failure to anticipate or resolve those tensions, in the context of grassroots opposition to mining, undermined trust in science and government, pointing to the local limits of global climate science.

This study examines the intricate relationship between financial development, institutional quality and environmental efficiency. While financial development has the potential to support environmental sustainability, concerns remain regarding its unintended negative effects through unchecked economic expansion. The objective of this research is to investigate how financial development affects environmental efficiency and to assess the moderating role of institutional quality, particularly when financial development proxies reflect financial market accessibility and efficiency. Using a directional distance function within a stochastic frontier framework and incorporating multiple financial development indicators alongside measures of institutional quality, we find that financial development significantly reduces environmental inefficiency, with institutional quality strengthening this effect. These results highlight the importance of policy approaches that simultaneously enhance financial development and institutional quality. Furthermore, our findings support targeted initiatives such as promoting green finance, building institutional capacity and investing in research and data infrastructure to inform evidence-based policymaking for sustainable development.

To advance the understanding of how e-government resources drive e-participation, the current research conducts a meta-analysis on the relationship above from the perspective of citizen experience. This meta-analysis synthesizes 517 effect sizes from 126 empirical studies to examine how e-government resources influence citizens’ e-participation intention. The findings highlight several key variables that moderate this effect. Specifically: (1) From the perspective of the experience channel, e-government resources are more effective in facilitating citizen e-participation intention when delivered through social (vs. official) channels. (2) From the perspective of the experience affair, e-government resources exert a stronger impact on citizen e-participation intention when targeting specific (vs. general) public affairs and when focusing on regional (vs. national) government affairs. (3) From the perspective of the experience environment, the effect of e-government resources on e-participation intention is stronger in developing (vs. developed) countries. Based on these findings, this study offers implications for governments and researchers and suggests directions for future research.

We develop and test a theoretical model to investigate the effects of faultlines within the top management team (TMT) on corporate financial fraud. We propose that TMT faultlines can generate mutual monitoring among factional subgroups in the executive suite, which reduces fraudulent behavior. We also examine the contingent roles of subgroup configuration and the TMT members’ tenure overlap in shaping the relationship between TMT faultlines and financial fraud. The mutual monitoring effect is likely to be stronger when the TMT has a balanced subgroup configuration and shorter TMT members’ tenure overlap. We test our argument in the context of publicly listed firms in China. This article extends the mutual monitoring perspective of corporate governance and has important research implications for the corporate financial fraud literature.

This article introduces the first of two international Themed Collections on gender and work, published as, Part A across Volumes 35(4) and 36(2), and as Part B in Volume 36(3) of The Economic and Labour Relations Review. In introducing the 11 Part A articles, we identify three main themes: contexts, impacts, and effects on gender status. Contexts include climate crisis, uncertain gender impacts of artificial intelligence (AI), and ongoing skill under-recognition in feminised ‘ancillary’ occupations. Impacts include increasing care load and violence in traditionally feminised teaching work, LGBTQ+ workers’ intertwined experiences of stigmatisation and job insecurity, and immigrant experience of unregulated care work in private households. Impacts on well-being, safety, and security include restricted access to nutrition, rest, creativity, life cycle, and community participation, and diminished status, agency, voice, and recognition of productivity contribution. An alternative productivity calculus is provided in articles documenting the benefits of Australia’s universal statutory 10 days’ family and domestic violence leave entitlement, a proposed Indian green jobs guarantee programme that could transition millions of women into the formal labour market, and an Australian calculation of the unrecognised GDP contribution of breastmilk. A Sub-Saharan African article shows that legally mandated maternity protections are inaccessible to women in informal labour markets. In the context of the United Nations’ key normative and programme role, and its stocktakes of equality and empowerment milestones, we foreshadow questions of official structure and grassroots agency to be addressed in the Part B exploration in (Volume 36(3)) of informal economy work, community agency, and intersectional voice.

In this paper, I investigate how parents should talk to their children about injustice. In doing so, I use the non-ideal theory debate in political philosophy to show how the questions traditionally asked there can give substantive guidance to parents. I also contribute to that debate by showing how attention to injustice conversations (a) leads us to ask new questions and develop new modelling tools; (b) can help us to resolve the questions traditionally asked in the debate in a more direct way; and (c) can serve as a model for bringing together substantive and methodological questions in non-ideal theory.

This paper analyzes the impact of product-market fit on firms’ export performance, focusing specifically on the case of wineries. To this end, we use a representative sample of Spanish wineries and data on 49 export markets. The empirical analysis is based on a firm heterogeneity model that integrates both macroeconomic and firm-level factors influencing wine export performance. Our findings indicate that a good product–market match facilitates export activity and can mitigate traditional barriers to international trade, such as geographic or political distance. When a winery conducts effective market research and identify markets where consumer preferences align closely with the characteristics of its products, its export performance improves significantly.

Workplace happiness has emerged as a strategic and ethical priority due to its impact on employee well-being, engagement, and sustainable performance. However, the construct remains conceptually fragmented, with existing measures often limited to affect or job satisfaction. This study addresses these limitations by proposing and preliminarily validating a multidimensional instrument that integrates hedonic and eudaimonic dimensions of workplace happiness: emotional well-being and purpose, work–life balance, and work relationships and support. Using a multi-phase research design, including expert content validation, a pilot study (n = 100), and large-scale psychometric testing (n = 354), the study applies exploratory and confirmatory factor analyses. Results provide initial evidence of strong structural validity, internal consistency, and convergent and discriminant validity (CFI = 0.971; TLI = 0.959; RMSEA = 0.078). Workplace happiness is conceptualised as a synergy of affective fulfilment, meaningful contribution, and supportive relationships. Despite cross-sectional and non-probabilistic limitations, the instrument offers a robust foundation for future validation and human-centred organisational research.

We propose an evolutionary competition model to investigate the green transition of firms, highlighting the role of adjustment costs, state-dependent transition risk, and positive externalities in green technology adoption. Firms base their decisions to adopt either green or brown technologies on relative performance. To incorporate the costs of switching to another technology into their decision-making process, we adopt a novel, ad hoc crafted, replicator dynamics. Our global analysis reveals that increasing transition risk, e.g., by threatening to impose stricter environmental regulations, effectively incentivizes the green transition. Economic policy recommendations derived from our model further suggest maintaining high transition risk regardless of the industry’s level of greenness. Subsidizing the costs of adopting green technologies can reduce the risk of a failed green transition. While positive externalities in green technology adoption can amplify the effects of green policies, they do not completely eliminate the possibility of a failed green transition. Finally, evolutionary pressure reduces the extent of green economic policies required to ensure a successful green transition.