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This study aims to explore the influence mechanism of inclusive leadership on employees' innovative behavior, in order to provide useful inspiration for leaders and enterprises to develop.

This study constructs a moderated mediation model based on the valid questionnaire data of 211 employees in service in enterprises and used SPSS23.0 and AMOS24.0 analysis software to analyze the data and test the theoretical hypotheses, and explore the influence mechanism of inclusive leadership on employees' innovative behavior.

The empirical findings show that inclusive leadership has a significant positive impact on employees' innovative behavior; organizational harmony plays a mediating role in the relationship between inclusive leadership and employees' innovative behavior; and innovation self-efficacy plays a positive moderating role between organizational harmony and employees' innovative behavior. Therefore, inclusive leadership can create a harmonious organizational climate and further improve employees' innovative behavior under the influence of employees' creative self-efficacy, which can promote innovative behavior and sustainable development of enterprises.

The authors put two variables, organizational harmony and employees' innovation self-efficacy, into the same model for correlation tests for the first time, and introduced into the mechanism of inclusive leadership's influence on employees' innovation behavior, which broadened people's understanding of organizational harmony and innovation self-efficacy and broadened the ideas for the subsequent research about the relationship between them.

This study aimed to examine the effects of curiosity on expatriates' innovative work behaviour and job satisfaction in a cross-cultural setting, with the sequential mediating effects of cultural intelligence (CQ) and knowledge-sharing behaviour.

Data were collected by distributing an online survey to 465 Taiwanese expatriates living and working abroad. Structural equation modelling was used to test the hypotheses via AMOS v.22.

The results indicate that curiosity is an antecedent of an individual's CQ and both CQ and knowledge-sharing behaviour are sequential mediators in the relationships between curiosity and innovative work behaviour and between curiosity and job satisfaction.

The study expands the existing body of research to analyse personal traits as meaningful factors that enhance CQ and the mechanisms of CQ and knowledge sharing behaviour in the relationship between curiosity and innovative work behaviour and between curiosity and job satisfaction. It offers novel empirical evidence for the important role of curiosity, CQ and knowledge-sharing behaviour in enhancing an individual's innovative work behaviour and job satisfaction in a cross-cultural setting.

Innovation has become a necessity for the information technology (IT) sector, especially during COVID-19 pandemic. Therefore, this study aims to investigate how knowledge sharing affects employees’ innovative work behavior (IWB). Specifically, the study examined occupational self-efficacy (as mediating mechanism) and entrepreneurial leadership (as boundary condition) to encourage IWB.

The study used social media platforms to collect data from 270 employees working in the IT sector through “google forms” on convenience basis between March and August, 2021. The study applied structural equation modeling in two stages to examine the measurement model (for uni-dimensionality) and the structural model (for hypotheses testing).

The study noted that knowledge sharing positively affects employees’ IWB and occupational self-efficacy positively explains this association. In addition, employees’ perception of entrepreneurial leadership strengthens the association between knowledge sharing and IWB.

The study collected data from a developing country during COVID-19 by using a cross-sectional design that may restrict causality. However, the findings suggest the management not only encourages knowledge sharing environment but also engages employees in various training that motivate them to experiment with new ideas and techniques.

This study extends the existing literature on knowledge sharing and IWB by exploring occupational self-efficacy as mediating mechanism and entrepreneurial leadership as a boundary condition.

This study investigated the impact of entrepreneurship education on the international entrepreneurship intention of the university students while considering the mediating roles of entrepreneurship alertness, proactive personality, innovative behaviour and the moderating role of global mindset in this relationship.

The research employs a survey methodology, utilising a structured questionnaire for data collection. The study specifically concentrates on students enrolled at Akenten Appiah-Menka University of Skills Training and Entrepreneurial Development (AAMUSTED) in Ghana, drawing its sample from six academic programmes within the university. Data analysis is conducted using structural equation modeling (SEM).

The findings of this research revealed that entrepreneurship education exerts a positive influence on the international entrepreneurial intention. Furthermore, entrepreneurship alertness acts as a mediator in the relationship between entrepreneurship education and innovative behaviour. Similarly, a proactive personality serves as a mediating factor between entrepreneurship education and innovative behaviour. Moreover, innovative behaviour operates as a mediator in the relationship between entrepreneurship education and international entrepreneurship intention. Additionally, a global mindset plays a crucial moderating role in the connection between entrepreneurship education and international entrepreneurship intention.

This study makes a significant contribution to the field by shedding light on the mediating roles of proactive personality, entrepreneurial alertness, innovative behaviour and global mindset moderating the relationship between entrepreneurship education and international entrepreneurship intention. These insights offer fresh perspectives on the complex dynamics at play in the realm of entrepreneurship education and its impact on students' intentions for the international entrepreneurship.

Due to the rapid development of artificial intelligence (AI) technology, increasing the use of AI in healthcare is critical, but few studies have explored the extent to which physicians cooperate with AI in their work to achieve productive and innovative performance, which is a key issue in operations management (OM). We conducted empirical research to answer this question.

We developed a conceptual model based on the ambidextrous perspective. To test our model, we collected data from 200 Chinese hospitals. One senior and one junior physician from each hospital participated in this research so that we could get a more comprehensive view. Based on the sample of 400 participants and the conceptual model, we examined whether different types of AI use have distinct impacts on physicians’ productivity and innovation by conducting hierarchical regression and post hoc tests. We also introduced team psychological safety climate (TPSC) and AI technology uncertainty (AITU) as moderators to investigate this topic in further detail.

We found that augmentation AI use is positively related to overall productivity and innovative job performance, while automation AI use is negatively related to these two outcomes. Furthermore, we focused on the impacts of the ambidextrous use of AI on these two outcomes. The results highlight the positive impacts of complementary use on both outcomes and the negative impact of balance on innovative job performance. TPSC enhances the positive impacts of complementary use on productivity, whereas AITU inhibits the negative impacts of automation and balanced use on innovative job performance.

In the age of AI, organizations face greater trade-offs between performance and technology management. This study contributes to the OM literature from the perspectives of operational performance and technology management in three ways. First, it distinguishes among different AI implementations and their diverse impacts on productivity and innovative performance. Second, it identifies the different conditions under which automation AI use and augmentation are superior. Third, it extends the ambidextrous perspective by becoming an early adopter of this approach to explore the implications of different types of AI use in light of contingency factors.

The purpose of this study was to investigate how to generate innovative work behaviors among Millennial and Generation Z sport employees and its impact on their career satisfaction and psychological well-being.

The authors used structural equation modeling to examine the relationships among predictors of job engagement, innovative work behaviors, career satisfaction and psychological well-being. The model was tested across managerial sport employees of Division I athletics departments (N = 224).

The highlights of the study include job engagement's positive relationship with innovative work behaviors and the positive influence of innovative work behavior on career satisfaction and psychological well-being.

These findings signify the importance of considering job engagement and innovative work behaviors to develop a positive work experience for Millennial and Generation Z sport employees. Doing so is thought to be a critical step in cultivating an organizational competitive advantage via younger generations of sport employees.

Based on the model of Big-Five personality traits and theories of person–environment interaction, this study aims to investigate the moderating effects of personality traits on innovativeness through knowledge sharing (KS).

A sample of 318 Vietnamese employees was collected. The hypothesized model was tested by using partial least squares structural equation modelling.

The results indicate that extraversion, agreeableness, conscientiousness and openness to experience have relationships with innovativeness through the mediating effect of KS. Furthermore, transformational leadership (TL) mitigates the positive relationship between agreeableness and openness to experience and innovativeness.

Based on the research results, the authors suggest several practical implications for enhancing employees' innovative organizational behaviours. Transformational leaders should be aware of and control the relationships with employees high in agreeableness and open to experience to ensure that employees' innovativeness can be freely developed.

This research systematically investigates the effect of each personality on employees' innovativeness. Furthermore, this study contributes to the leadership literature by suggesting the dark side of TL that can negatively influence the innovative ability of employees with certain personality traits.

To contribute to achieving the Sustainable Development Goals, this study aims to explore how to encourage innovative green behaviors among college students and the mechanisms behind the formation of green innovation behavior. Specifically, this study examines the influences of schools, mentors and college students themselves.

A multilevel, multisource study involving 261 students from 51 groups generally supported this study’s predictions.

Proenvironmental and responsible mentors significantly predicted innovative green behavior among college students. In addition, creative motivation mediated the logical chain among green intellectual capital, emotional intelligence and green innovation behavior.

The study findings offer new insights into the conditions required for college students to engage in green innovation. In addition, they provide practical implications for cultivating green innovation among college students.

The authors proposed and tested a multilevel theory based on the ability–motivation–opportunity framework. In this model, proenvironmental and responsible mentors, green intellectual capital and emotional intelligence triggered innovative green behavior among college students through creative motivation.

High-tech enterprises, as the national innovation powerhouses, have garnered considerable interest, particularly regarding their technological innovation capabilities. Nevertheless, prevalent research tends to spotlight the impact of individual factors on innovative behavior, with only a fraction adopting a comprehensive viewpoint, scrutinizing the causal amalgamations of precursor conditions influencing the overall innovation proficiency of high-tech enterprises.

This paper employs a hybrid approach integrating necessary condition analysis (NCA) and fuzzy-set qualitative comparative analysis (fsQCA) to examine the combinatorial effects of antecedent factors on high-tech enterprises' innovation output. Our analysis draws upon data from 46 listed Chinese high-tech enterprises. To promote technological innovation within high-tech enterprises, we introduce a novel perspective that emphasizes technological innovation networks, grounded in a network agents-structure-environment framework. These antecedents are government subsidy, tax benefits, customer concentration, purchase concentration rate, market-oriented index and innovation environment.

The findings delineate four configurational pathways leading to high innovative output and three pathways resulting in low production.

This study thereby enriches the body of knowledge around technological innovation and provides actionable policy recommendations.

Sustainable development involves companies on an individual, organizational and social level requiring the adoption of business models or innovations capable of privileging the co-creation of mutual value with a view to sustainability. From an organizational perspective, this paper aims to show that knowledge brokers, by making explicit their roles as mediators of interactions and acting on dynamic capabilities (DCs), can generate a proactive approach to the three dimensions of sustainability and specifically allows capabilities to positively impact the propensity toward sustainable supply chain management (SSCM) practices.

This study offers an empirical analysis of 200 companies in the agro-food sector participating in a knowledge brokerage system activated by protection consortia. It uses a multiple regression technique that allows for observing relationships between DCs and SSCM.

Absorptive, adaptive and innovative capabilities, when understood and brokered, have a positive and direct impact on the SSCM.

As there have rarely been frameworks developed that correlate knowledge brokerage, DCs and sustainability, this paper suggests that DCs, when adequately valued by the knowledge broker, allow for identifying the requirements of the various stakeholders regarding sustainability and changes in market scenarios to generate sustainability practices along the supply chain.