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This study aims to build on social comparison theory to develop a theoretical model of leader–member exchange (LMX) relationship to workplace ostracism through perceived organizational status by coworkers and envy. This study further proposes that warmth and competence may potentially moderate these two indirect effects.

This study tested the hypotheses in a battery manufacturing company located in South China by a survey of 216 employees organized in 55 work teams, using different sources. Additionally, the authors conduct two online vignette experiments to test this study’s mediation, proving the causality.

The authors found that high-level LMX leads to both envy and perceived organizational status by coworkers, which results in a mixed blessing on workplace ostracism toward the employee with high-level LMX. The focal employee’s warmth and competence moderate these indirect relationships.

The authors use LMX to explore antecedents of workplace ostracism and explain how and when these focal employees suffer workplace ostracism from their coworkers. The authors extend the research on LMX by examining the interpersonal risk of being a focal employee. The authors discover two critical boundary conditions – warmth and competence.

This study suggests that it is important to balance the level of the differential LMX; appropriately endorsing other members is a good way to avoid eliciting envy and opposition. Meanwhile, person-oriented citizenship behaviors such as demonstrations of concern or help may shortly build up an employee’s warm impression on their coworkers.

By discovering the bright and dark sides of LMX, this paper has the potential to advance theories on LMX and workplace ostracism. Therefore, the authors believe the current research will have an important impact on relevant research in the future.

The purpose of this paper is to form propositions about the relationship between top management team (TMT) heterogeneity and peer effects in investment decision-making and explore the mediating role of social learning processes.

To investigate the correlations between TMT heterogeneity and investment peer effects, we considered the TMT heterogeneity category, team process and contextual factors. With a sample of 8,467 firm-year observations from Chinese listed companies, we used the mean linear model and instrumental variable method to empirically examine their relationships. To identify the mediating role of social learning processes, we introduced a social learning model to find out the contextual factors influencing corporate social learning demands from three aspects and subsequently used comparative statics analysis to explore the variations in the main effect under these contextual factors.

For task-oriented heterogeneity (e.g. functional background, education and tenure heterogeneity), the opposite effects of information elaboration and social categorization processes make it a nonlinear multiplex correlation with investment peer effects. For relation-oriented heterogeneity (e.g. age and gender heterogeneity), the sole effect of social categorization processes leads to a negative linear correlation. Further, we identify the mediating role of social learning processes. In summary, we established a connection from the TMT heterogeneity, to information elaboration theory or social categorization theory, to social learning processes and ultimately to investment peer effects.

The results of this study provide a comprehensive perspective to predict the decision-making outcomes of team heterogeneity and contribute to heterogeneity research and practice.

This study aims to investigate the role of interfirm communication on the complementary effect between corporate political action (CPA) and research and development (R&D) investments under transaction costs.

A quasi-experiment study design was used, combining business game simulation and a public goods experiment with communication as a controlled variable. A fixed-effect regression analysis was performed on panel data collected from 72 students.

The findings indicate that collective CPA is positively and significantly associated with R&D investments, particularly when interfirm communication is present. Conversely, for non-communicating firms, the effect is limited to the relationship between individual CPA and R&D investment.

Despite advancing the research on political ties and innovation, the study acknowledges limitations related to framing effects and institutional variability.

The complementary effects indicate that institutional arrangements (i.e. business associations) may foster interfirm communication and cooperation in CPA efforts, mitigating opportunistic behaviours and legitimising CPA strategy towards innovation.

This study contributes to understanding how firms’ political and R&D decisions can positively impact innovation, despite the challenges of ex post transaction costs.

The positive effect of communication on political action and cooperation on firms’ innovation, even in weak institutional environments, is highlighted. An innovative methodological approach combining business games and economic experiments was used to examine participants’ decisions under transaction costs.

Based on upper echelon theory and signaling theory, we aim to examine the impact of returnee executives on firms’ relative exploratory innovation focus and the moderating effect of economic policy uncertainty on this relationship.

Using panel data of Chinese listed companies from 2009 to 2020, we obtained empirical evidence to support our arguments.

Returnee executives positively influence firms’ relative exploratory innovation focus. This means that firms with returnee executives will shift the focus of their innovation activities toward exploratory innovation more than exploitative innovation. In addition, we find that economic policy uncertainty strengthens this relationship.

First, by showing how returnee executives positively influence firms’ shift in focus to exploratory rather than exploitative innovation, we expand our understanding of firms’ trade-offs between exploratory and exploitative innovation. Second, this study examines how returnee executives influence the relative importance that firms place on exploratory and exploitative innovation, allowing us to build a realistic and nuanced view of how returnee executives influence firms’ strategic choices. Finally, this study expands the strategic leadership literature and responds directly to the call for studies focusing on how institutional environmental conditions and executive characteristics work together to shape firm outcomes.

This study aims to develop a moderated mediation model that enables the examination of the direct relationship between brand orientation (BO) and export performance, the mediating effects of external and internal branding capabilities on the BO-export performance link, and the moderating influence of institutional environment, i.e. regulatory turbulence and policy support.

A time-lag primary data was collected from two-wave survey of 684 cross-industry exporting small and medium-sized enterprises (SMEs) using an online-email based survey technique, and the research model was validated using ordinary least squares regression analysis in SPSSV.27 and Hayes’ PROCESS macroV.2.13.

Regression findings indicate that the relationship between BO and export performance is not direct, but rather mediated by means of both external and internal branding capabilities. It further helps to uncover the dual role of institutional environment, with regulatory turbulence weakening and policy support strengthening the indirect influences of BO on export performance via external and internal branding capabilities.

This study advances branding literature by conceptualizing and empirically testing the role of BO associated with internal and external branding capabilities and, subsequently, with export performance.

The research findings indicate that brand-oriented SMEs must actively engage in the development of branding capabilities to improve their export performance.

While brand creation is essential for the success and growth of SMEs competing in the worldwide marketplaces, there is a dearth of research explaining the underlying mechanisms and boundary conditions through which BO influences export performance.

The study constructs a novel theoretical model based on resource orchestration theory and examines it using data from Ghanaian small and medium-sized enterprises (SMEs).

Entrepreneurial bricolage (EB) represents a creative mechanism by which SMEs navigate resource challenges to become competitive. The purpose of this paper is to examine the link between EB to both innovation performance and firm performance among manufacturing SMEs in Ghana. In addition, we also examine the mediating role of polychronicity in the relationship between EB, innovation performance and firm performance.

The results suggest that EB positively and significantly influences both innovation performance and firm performance. Furthermore, polychronicity partially mediates the relationship between EB and innovation performance and between EB and firm performance.

This study enhances our understanding of the conditions under which EB may facilitate the attainment of innovation and firm performance among manufacturing SMEs. These findings also proffer practical and managerial implications for managing SMEs under resource constraints.

Generative artificial intelligence (GenAI) is one of the most diffused AI technologies, capable of generating manifold forms of content, including music, text, images and synthetic data. The purpose of this study is to analyze the determinants that affect GenAI acceptance and its outcomes on both the explorative and exploitative forms of innovation.

The study employs a conceptual framework based on the technology-organization-environment (TOE) paradigm. Through Smart-PLS analysis, it examines empirical data retrieved from an online survey where 302 manufacturing companies took part.

It is found that GenAI has the potential to facilitate both exploratory and exploitative innovation, particularly via the moderating effect of environmental dynamism. Hence the adoption of GenAI has potential to improve organizational performance.

The study is the first empirical project to investigate factors that influence manufacturing firms' adoption of GenAI. As the first project to have integrated the TOE paradigm when examining the impact of environmental dynamism on exploratory and exploitative innovation, the study emphasizes the double innovation potential of GenAI in organizational performance improvement.

Leveraging upper echelon theory and knowledge-based view of the firm, this paper aims to explore how chief executive officers’ (CEO) sustainability orientation influences explorative and exploitative knowledge management practices, which in turn influence incremental and radical sustainable innovation under boundary conditions of CEOs’ temporal focus and regional affiliation in the home country.

This study used a nonprobability convenience sampling strategy. Using survey-based research, the authors tested the study hypotheses using partial least squares structural equation modeling on a sample of 298 CEOs from Indian small and medium enterprises. This study also tested the reliability and validity of the study variables by using internal consistency tests and convergent and discriminant validity procedures.

The study finds that CEO sustainability orientation affects incremental and radical sustainable innovation via the mediating effect of explorative and exploitative knowledge management practices. Furthermore, CEOs’ past temporal focus increases the influence of orientation on exploitative knowledge management. In contrast, future temporal focus increases the influence of CEO sustainability orientation on exploratory knowledge management practices. Finally, CEOs from the southwest, west and northwest regions of India increase the influence of exploratory knowledge management on radical sustainable innovation.

This study has significant implications for understanding upper-echelon factors that drive knowledge management practices. CEO temporal focus (time orientation) and demographic aspects (regional affiliation) influence CEOs’ investment in different knowledge management and, hence, sustainable innovation management practices. However, this study does not explore cross-cultural differences and the role of the entire top management team in influencing sustainability values on sustainability innovation via knowledge management practices.

This study comprehends upper-echelon factors that drive investment in knowledge management and sustainable innovation practices. Findings imply that CEOs with past and future temporal focus can influence sustainable innovation, but their investment in knowledge management strategies differs. Past temporal-focused CEOs invest more in exploitative and future temporal focus more in explorative knowledge management for influencing sustainable innovation.

The study provides novel insights into the influence of upper-echelon traits on knowledge management and sustainable innovation practices. Extant literature has largely explored firm-level factors such as organizational culture influencing a firm's knowledge management practices. However, by integrating the upper echelon with the knowledge-based view of the firm, we explain how the traits of the CEO, especially the temporal perspective, influence knowledge management and sustainable innovation practices of firms.

This paper presents an original approach for learning models, partially known, of particular interest when performing source identification or structural health monitoring. The proposed procedures employ some amount of knowledge on the system under scrutiny as well as a limited amount of data efficiently assimilated.

Two different formulations are explored. The first, based on the use of informed neural networks, leverages data collected at specific locations and times to determine the unknown source term of a parabolic partial differential equation. The second procedure, more challenging, involves learning the unknown model from a single measured field history, enabling the localization of a region where material properties differ.

Both procedures assume some kind of sparsity, either in the source distribution or in the region where physical properties differ. This paper proposed two different neural approaches able to learn models in order to perform efficient inverse analyses.

Two original methodologies are explored to identify hidden property that can be recovered with the right usage of data. Both methodologies are based on neural network architecture.

This study aims to investigate the potential of an empathetic mindset aimed at empowering undergraduate students to work toward sustainable development (SD), addressing both theoretical and practical dimensions.

A mixed quantitative and qualitative research method was used in this study. Cross-sectional quantitative survey data on students’ mindsets and actions toward SD was collected to examine the theoretical relationship between belief and behavior. Qualitative inquiry using focus-group interviews explored students’ on-site learning experiences.

This study provides evidence for the impact of an empathetic mindset on education for sustainable development (ESD). Results showed that students with a more empathetic mindset showed better attitudes and behaviors toward SD actions. Findings suggest that developing an empathetic mindset improves students’ attitudes toward taking substantial action to protect the environment.

This study introduces a novel perspective extending the application of empathetic mindset in ESD.