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This study aims to explore the mediating role played by the contradictory behaviour of knowledge sharing and knowledge hiding in the relationship between paradoxical leadership and employee creativity.

A survey was conducted with 276 employees working in information technology firms in India. “To assess the relationship between the constructs, single and parallel mediation analysis of structural equation modelling (SEM) and confirmatory factor analysis (CFA) have been performed”.

This study found that paradoxical leadership is significantly associated with employee creativity. Besides, it has also been found that knowledge sharing has emerged as a mediator that explains the relationship between paradoxical leadership and creativity, while knowledge hiding has not been a mediator to explain the relationship between paradoxical leadership and creativity among employees. According to the study, it was found that discouraging knowledge-hiding behaviour can increase employee knowledge sharing, which in turn fosters employee creativity.

Research has examined the relationship between paradoxical leadership and employee creativity in this paradigm, as well as the roles of knowledge sharing and knowledge hiding as mediators.

The results of this study will help top management to create strategies for enhancing the relationship between a leader and their subordinates by using effective knowledge management strategies that foster employee creativity. Employee creativity would be facilitated effectively by the paradoxical leader who regulates knowledge-hiding behaviour among employees and promotes knowledge-sharing behaviour.

This study addresses the gap in prior research by investigating the role of paradoxical leadership in managing the contradictory behaviours of knowledge sharing and hiding and their impact on employee creativity. As the motivation for knowledge sharing and hiding are inherently distinct, leaders with paradoxical qualities foster a culture of openness and trust to encourage knowledge-sharing while discouraging knowledge-hiding behaviour. By controlling knowledge-hiding behavior empowers employees to make meaningful contributions to the organization’s success through effective collaboration and teamwork, allowing for a more innovative and creative workplace. Because preventing knowledge-hiding behaviour is a means to promote knowledge sharing and ultimately foster creativity in an organisation. Overall, this paper offers unique insights into the intricate dynamics of knowledge management and provides valuable recommendations for leaders managing employees exhibiting contradictory behaviours in the workplace.

This study aims to explore the impact of remote work (RW) on millennials’ organizational commitment (OC) by addressing four research gaps identified in existing studies. Drawing on social exchange theory (SET), the authors also investigate if millennials are well-suited for RW environment and how shared leadership (SL) and followership moderate the relationship between RW and millennials’ OC.

A survey was conducted involving 154 millennial employees. Confirmatory factor analysis and hierarchical multiple regression analysis were performed to investigate the moderating effect of SL and followership on the relationship between RW and millennials’ OC.

The results reveal that millennials’ OC increases with the degree of RW. Moreover, both SL and followership exhibited a moderating effect on the RW-millennials’ OC relationship, emphasizing their importance in shaping millennials’ OC.

While the effect of RW on individual-level outcomes remains controversial, this study sheds light on the positive impact based on millennials' characteristics and suggests strategies to strengthen their OC in remote working environments. However, due to the cross-sectional nature of our research, a longitudinal study would be valuable to provide deeper insights.

This study contributes to the field of organizational behavior (OB) by connecting millennials’ traits with SL and followership, offering valuable insights into strengthening their OC within the context of RW through the lens of SET. By addressing and filling the four identified research gaps, our research advances knowledge in the improvement of millennials’ OC within the RW environment.

This study aims to examine whether and why subsidiary-unit managers’ prior international work experiences across multinational enterprises’ (MNEs) home and host countries impact their subsidiary-unit performance, considering the mediating effect of their advice networks.

A survey on 222 subsidiary-unit managers (154 parent country nationals [PCNs] and 68 host country nationals [HCNs]) of a Korean MNE operating in China, Vietnam, Thailand, Singapore, Hungary and Slovakia was conducted. The authors analyzed the data using partial least square structural equation modeling, multigroup analysis and bootstrapping techniques.

PCN subsidiary managers with more prior international work experience manage better-performing units due to the strength of the manager’s advice networks across local parties. However, for HCN subsidiary managers, this study did not find such mediating roles of the size and strength of their advice networks in the MNE home country.

This study provides novel insights and empirical evidence about the effect of the length of prior international work experience of subsidiary managers on their advice-seeking networks and subsidiary-unit performance. In addition, it draws on and add to social capital theory about how international work experience impacts dealing with local businesses and the relationship with corporate headquarters.

Sources highlight that lack of systematic labour training components results in low performance and productivity of labour, which leads the construction industry of many countries to face various challenges. This study aims to quantify the variations in the performance and productivity levels of labour in building construction projects through the applications of effective work-based training components.

A comprehensive literature review and a series of experts’ discussions with action-oriented communication approaches were conducted to develop a set of practices related to labour training, performance assessment and productivity measurements within a framework. The developed practices were applied to around 100 labourers working on nine building construction projects through a construction supervisory training programme.

The study presents the detailed patterns of the significant changes in labour performance and productivity levels. The majority of trained labourers have grown to perform the work process with some relevant theoretical and operational knowledge and skills. The overall results spotlight the significant behavioural changes that can be observed in workforce operations by improving labour performance, which resulted in implementing effective labour-rewarding practices within a framework.

Although the study findings were limited to the Sri Lankan context, the proposed practices can be applied to the industry practices of the construction sector of other developing countries and the other developing industries in similar ways/scenarios.

The study outcomes contribute to uplifting the work qualities of labourers with life-long learning opportunities and unlocking the potential barriers for expanding the local labour supply while controlling the excessive inclination of the local firms towards foreign labour. This paper describes further implications and future scopes of the study elaborately.

The study provides generalised mechanisms and practices that transform the labour characteristics and add new attributes for strengthening the values of construction supervision practices to obtain well-improved work outputs. The study outcomes reinforce the chain relationships among the training elements, labour performance and productivity levels, leading to upgrading current planning and operational management practices, especially adding constructive mechanisms in resource levelling and productivity benchmarking practices.

This book aimed to conceptualise a construction workforce management model suitable for effectively managing workers in construction organisations. To this end, this chapter presents the conceptualised model, which consists of seven workforce management practices with their respective measurement variables. Drawing from existing theories, models, and practices, the chapter concludes that a construction organisation that will attain its strategic objectives in the current fourth industrial revolution era must be willing to promote effective recruitment and selection, compensation and benefits, performance management and appraisal, employee involvement and empowerment, training and development, as well as improving workers emotional intelligence and handling external environment pressure. These practices can promote proactiveness, participation, and improved skills and can lead to effective commitment, better quality, and flexibility within the organisation.

This study builds on previous theoretical work that considered artificial intelligence (AI) and its potential for creating “teacher-centaurs” whose labor could be accelerated through the use of generative AI (Fassbender, in review). The purpose of this paper is to use empirical methods to study centaur teachers and the division of labor (Durkheim, 1893/2013) that arise from outsourcing teaching tasks to AI.

Multiple case study (Stake, 2006) was used to collect data on two secondary English teachers who were early adopters of generative AI. Data included semi-structured interviews as well as ChatGPT chat logs, which helped in describing how teaching approaches evolved using AI technology.

Results showed that teachers used AI for planning, instruction and assessment. AI-augmented teaching practices allowed teachers to complete tasks with greater speed, which in turn increased stamina and short-term work–life balance. Given the novelty of AI, concerns about data privacy and academic integrity raised ethical questions.

ChatGPT’s rise to popularity in 2023 brought with it significant discussions about education, specifically how students would use AI primarily as a tool for plagiarism. This study takes a different focus, considering how early adoption of AI has begun changing teacher labor, offering implications for the future of the teaching profession.

High performance of new hires is of imminent interest to organizations in the hospitality sector. Yet, limited studies have focused on the relevant traits of new hires that improve on-job performance. This study aims to identify and understand a few critical traits that predict high performance across multilevel roles within the hospitality sector.

Drawing on the human capital theory, through a time-lagged field study spanning 16 months, this study used multisource data for 540 active job opportunities and 205 new hires within the hospitality industry. This study used partial least squares-based structural equation modeling and analyzed the various traits that predict high on-job performance.

This study finds that humility is a significant predictor of job performance and wholly mediates the effect of interpersonal understanding, self-confidence and flexibility on new hires’ performance.

This study enhances talent management research for the hospitality sector by determining the critical traits of new hires that can predict superior on-job performance.

This study aims to delve into the perspectives of educators on integrating ChatGPT, an AI language model into management education. In the current research, educators were asked to talk as widely as possible about the perceived benefits, limitations of ChatGPT in management education and strategies to improve ChatGPT for management education. Also, shedding light on what motivates or inhibits them to use ChatGPT in management education in the Indian context.

Interpretative phenomenological analysis commonly uses purposive sampling. In this research, the purpose is to delve into educators’ perspectives on ChatGPT in management education. The data was collected from the universities offering management education in Uttarakhand, India. The final sample size for the study was constrained to 57 educators, reflecting the point of theoretical saturation in data collection.

The present study involved educators discussing the various advantages of using ChatGPT in the context of management education. When educators were interviewed, their responses were categorized into nine distinct sub-themes related to the benefits of ChatGPT in management education. Similarly, when educators were asked to provide their insights on the limitations of using ChatGPT in management education, their responses were grouped into six sub-themes that emerged during the interviews. Furthermore, in the process of interviewing educators about potential strategies to enhance ChatGPT for management education, their feedback was organized into seven sub-themes, reflecting the various approaches suggested by the educators.

In the qualitative study, perceptions and experiences of educators at a certain period are captured. It would be necessary to conduct longitudinal research to comprehend how perceptions and experiences might change over time. The study’s exclusive focus on management education may not adequately reflect the experiences and viewpoints of educators in another discipline. The findings may not be generalizable and applicable to other educational disciplines.

The research has helped in identifying the strengths and limitations of ChatGPT as perceived by educators for management education. Understanding educators’ perceptions and experiences with ChatGPT provided valuable insight into how the tool is being used in real-world educational settings. These insights can guide higher education institutions, policymakers and ChatGPT service providers in refining and improving the ChatGPT tool to better align with the specific needs of management educators.

Amid the rising interest in ChatGPT’s educational applications, a research gap exists in exploring educators’ perspectives on AI tools like ChatGPT. While some studies have addressed its role in fields like medical, engineering, legal education and natural sciences, the context of management education remains underexplored. This study focuses on educators’ experiences with ChatGPT in transforming management education, aiming to reveal its benefits, limitations and factors influencing adoption. As research in this area is limited, educators’ insights can guide higher education institutions, ChatGPT providers and policymakers in effectively implementing ChatGPT in Indian management education.

This instrumental case study (Stake, 1995) explores the benefits experienced by mentor teachers who mentored resident teachers in a year-long residency program.

The study was grounded by the Benefits of Being a Mentor conceptual framework, as defined by Ragins and Scandura (1999). The participating mentor teachers engaged in semi-structured interviews and a focus group. The data were analyzed through inductive and deductive data analysis techniques.

Using inductive and deductive data analysis techniques, three themes emerged on the benefits of being a mentor teacher: (1) extra support in the classroom, (2) professional learning and growth opportunities, and (3) investing in the future of education. The teachers’ perceived benefits were related to the connectedness of their personal and professional growth, the growth of the resident teachers and their students’ learning.

Mentor teachers play a vital role in teacher residency programs, as they are the primary influence on their resident teachers’ pedagogical praxis. In a residency program, mentor teachers support resident teachers’ sustained teaching experience by hosting them for one full academic year in their classrooms; therefore, exploring the benefits they receive from serving in this role is essential.