This study employs Identity Regulation Theory (IRT) to investigate how identity-related psychological tensions, such as identity incongruence and dissonance, influence the discontinuation intentions of social media users. Using a cross-sectional survey of 294 active users via Prolific Academic, structural equation modeling (PLS-SEM) was employed to analyze the relationships among these tensions, platform fatigue, and discontinuation. Results show neither tension directly affects discontinuation, but both influence it through platform fatigue. This offers a new perspective on the psychological costs of social media, with fatigue serving as a key mediator in transforming identity tension into discontinuation intent. The paper adds to IRT research and helps firms understand why users leave social media.

The application of Artificial Intelligence (AI)-enabled technologies into the retail environment has led to the emergence of the Marketing 4.0 paradigm, which integrates customer digital and physical touch-points to deliver value. The study used sociomateriality as a theoretical lens to examine how AI-driven marketing practices were enacted, negotiated, and established in retail organizations through human-material entanglements. The crowdsourcing platform Prolific Academic was used to collect data from retail professionals through open-ended essays. Data were analyzed using Gioia's methodology, which led to the identification of five dimensions—sociomaterial entanglement, material agency, situated practices, temporal emergence, and sociomaterial identity—which aligned with sociomateriality theory, encouraging the adoption of Marketing 4.0 in the retail context. The study developed a holistic framework to visualize the relationships that emerged from the participants' responses, addressing the criticalities of the Marketing 4.0 ecosystem.

National and supranational institutions are establishing emission trading systems and control schemes in an attempt to manage stakeholders' willingness to engage with regulatory systems and reduce greenhouse gas emissions (GHG). Nonetheless, despite the national and supranational focus on carbon neutrality, little research has been centered around the interrelationships impacting organizations' scope 2 and 3 GHG emissions. Specifically, scholars underscore the need to test the link between scope 2 and 3 emissions and organizations' financial performance, market value, and governance bodies. Henceforth, this article seeks to examine the interrelationships between organizations' financial performance, market value, board sustainability, and their scope 2 and 3 GHG emissions. This manuscript is informed by a multidimensional socio-economic-based theoretical framework. This research uses a panel dataset composed of 437 publicly listed companies whose headquarters are located in Europe. The sample focuses on European companies given its agenda to become carbon neutral by 2050. The obtained findings suggest a positive association between organizations' supply chain emissions and their market value. Moreover, it is possible to observe a positive association between organizations' supply chain GHG and their financial performance. Finally, the authors observe a positive association between organizations' board sustainability and their supply chain GHG emissions and market value. The foregoing findings are robust and do not present concerning issues related to endogeneity and sample selection bias. This manuscript carries both theoretical and managerial implications. First, it underscores the legitimization route that firms may undertake through climate change initiatives to enhance their market value. Second, the results might suggest the symbolic impact European emission trading systems and control schemes might have on stakeholders and firms. Third, the obtained results underscore the importance of the link between governance and environmental sustainability by extending this link between scope 2 and 3 emissions and sustainability board committees. Moreover, this manuscript underscores the importance of stakeholders' interest in environmental sustainability proxies such as GHG emissions. Finally, the manuscript underscores the complexity that remains in managing entities' supply chain GHG emissions.

This study investigates the influence of artificial intelligence-driven sustainable human resource management (AI-SHRM) on employee job engagement and resilience, with a particular focus on the mediating role of relational contracts. Anchored in the social exchange paradigm, the study examines how the fulfillment of relational contracts fosters positive work outcomes, thereby enhancing overall organizational performance. Additionally, this research explores the role of perceived artificial intelligence decision-making (PAIDM) in amplifying these outcomes by promoting fairness and transparency within HR practices. Utilizing data from a three-wave field survey of 481 respondents in China, the findings reveal that AI-SHRM significantly enhances relational contracts, leading to increased job engagement and resilience. Moreover, PAIDM serves as a significant moderating factor, intensifying the positive effects by strengthening perceptions of equitable treatment. This research advances both theoretical and practical perspectives on AISHRM, relational contracts, and the role of AI-driven decisions in contemporary workplace dynamics, offering critical insights for future organizational studies.