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Over the past 20 years, entrepreneurial ecosystems (EEs) have emerged as a significant research field, inspiring several scholars to provide valuable contributions. The chapter aims to map the current state of literature by highlighting the most prominent research strands and the main theoretical lenses employed in the research field. By carrying out a systematic literature review and bibliometric analysis, the study examines articles published over a period of 27 years. The time frame from 1996 to 2023 offers an extensive outlook of the field’s evolution and current trends, resulting in the identification of five research strands and different future research avenues. From the analysis of prior research works, this study provides an in-depth examination of the complex nature of EEs. The results hold theoretical and practical implications. From the scholars’ point of view, they offer future research directions to move the current level of knowledge forward. From the entrepreneurs’ perspective, they provide valuable insights to address ongoing challenges and catch new opportunities within the dynamic panorama of EEs. Therefore, the insights are poised to drive future research, inform policymakers, and enhance business strategies aimed at fostering resilient EEs. In other words, the purpose is to provide readers with a well-rounded understanding over the state of the literature on EEs and the research strands that deserve further exploration.

As companies start using virtual reality (VR) for managing their workforce, it's important to think about the rules and morals involved. This book chapter looks closely at the legal and ethical aspects of using VR in human resource management (HRM). It examines the rapidly developing field of VR technology in HRM, emphasising the complex moral and legal issues it raises. VR is rapidly transforming human resources (HR) practices by providing innovative recruitment tools, remote collaboration platforms and immersive training experiences. However, at the same time, VR presents important concerns about discrimination, privacy and consent. Using case studies, ethical guidelines and regulatory frameworks as resources, this chapter breaks down important factors that businesses using VR in HR scenarios need to take into account. It also governs about the ethical questions, such as fairness, diversity and making sure that the employees feel respected. It explores how VR might create biases or unfairness in hiring or evaluating employees. It deliberates legal issues like keeping personal data safe, respecting intellectual property and following employment laws. Furthermore, it explains how VR can be used to monitor employees or train them and the ethical questions that come with it.

In short, this book chapter stresses the importance of considering both legal rules and ethical principles when using VR for HRM. By doing so, companies can benefit from VR while making sure they treat their employees fairly and respectfully.

The purpose of the present study is to reveal the antecedents of the new green product success (NGPS) of small and medium-sized enterprises (SMEs) that manufacture in Türkiye with a middle-income economy. To this end, a research model for the serial mediating role of green human capital (GHC) and green adaptive ability (GAA) in the relationship between green mindfulness (GM) and NGPS was developed and tested. Determining the driving forces of NGPS is essential due to the contributions of SMEs manufacturing, especially in middle-income economies, such as Türkiye, to the national economy.

The present study used partial least squares structural equation modeling (PLS-SEM) to test the hypothesized relationships. The study hypotheses were tested in a sample of 396 manufacturing enterprises, qualified as SMEs in Türkiye with ISO 14001 certificates.

Empirical evidence indicates that GM, GHC and GAA act as significant antecedents of NGPS. Furthermore, empirical evidence demonstrates that GHC and GAA, in turn, mediate the relationship between GM and NGPS.

Managers, especially in manufacturing SMEs, should be aware that they need to develop intangible resources to improve NGPS. Increased investment in GM results in higher levels of GHC and GAA, which collectively leads to improved NGPS.

The current literature has not previously explained the mechanism of the relationship between GM and NGPS. The originality of the present study, which discusses the relevant research gap, is to develop an integrated framework to investigate how GM impacts NGPS, specifically for SMEs, and to test it empirically.

The purpose of this paper is to clarify the conceptual confusion in the extant literature about organizational agility and explore its role in different relationships in the context of digital transformation.

An integrative review of the relevant literature on agility was conducted. The literature on organizational agility and other variables in recent quantitative research was also examined to explore its role in different relationships.

Organizational agility is the ability to quickly respond and proactively embrace unanticipated changes in dynamic environments through effective resource reconfiguration and rapid decision-making. The role of organizational agility in achieving digital transformation has not been addressed from a holistic conceptual perspective. This paper addresses that gap and proposes that organizational agility is the underlying mechanism for an organization to fully use and engage its workforce, operation and network in the process of digital transformation.

This research is an integrative review of the existing literature on the concept of agility and its relationships. The next phase of research needed for theory building will be the operationalization of constructs.

Organizations should strive to strategically develop both the reactivity and proactivity sides of organizational agility in achieving digital transformation that involves fundamental changes at different levels of the organization.

This paper explores the role of organizational agility in digital transformation through an integrative review of the relevant literature.

Intellectual experiences focus on users’ information processing and critical thinking toward stimuli. The deployment of humanoid service robots as novel stimuli in tourism and hospitality has influenced users’ perceptions and may affect their intellectual engagement. This paper aims to connect four contemporary theoretical concepts: the service robot acceptance model, technological fear, the uncanny valley theory and the stereotype content model, to investigate users’ perceptions and intellectual experiences toward humanoid service robots.

Scale development procedures were conducted: literature review, checking face and content validity, factorizing items and dimensions, achieving construct and criterion validity and testing predictive validity.

Through literature review and free-response tasks, 43 measurement items were generated. Next, 1,006 samples from two cross-cultural groups refined the scale. Finally, a reliable and valid scale with four dimensions measuring users’ perceptions of humanoid service robots was determined.

Humanoid service robots should be designed to enhance functionality and innovativeness while minimizing stiffness, inflexibility, unsafety and danger to improve users’ intellectual engagement.

This study provides a novel examination of users’ intellectual experiences toward humanoid service robots by connecting four contemporary theories of users’ perceptions. This study enriches human–robot experience through an integrated perspective and presents a rigorous examination of the scale’s psychometric properties. A reliable and valid scale for measuring users’ perceptions toward humanoid service robots fills the gaps and serves as an effective predictor of intellectual experience in human–robot literature.

The development of project managers and leadership has been highlighted as crucial for improving project success and performance, resulting in a rise of interest in project leadership research over the last two decades. While several qualitative reviews have been conducted, there have been limited quantitative and systematic reviews on project leadership. This study fills this gap by portraying the knowledge landscape and tracking the evolution of project leadership research from 1998 to 2022 through bibliometric approaches.

Based on 816 records, including 793 articles extracted and selected from the Web of Science database and specific journals, and 23 articles selected from three non-SCI/SSCI indexed journals, the authors used CiteSpace and bibliometrix R-package to depict visualizations of the trajectory of co-cited references, the landscape of co-occurred keywords and emerging trends in project leadership via reference co-citation analysis, keyword co-occurrence analysis and thematic mapping.

The bibliometric analyses enabled the authors to understand the conceptual aspects of project leadership and its theoretical background. Three stages of the intellectual bases were identified and tracked: the infancy phase (1998–2007), the growth phase (2008–2014) and the new development phase (2015–2022). The results of keyword co-occurrence analysis indicated that the research focus evolved from investigating traits and competences to examining the effects of traditional leadership behaviors, and then considering context-specific leadership. The findings of thematic mapping and theoretical interpretation illustrate the potential directions of the competence comparison, new and appropriate leadership, and the interaction between leadership and context.

This study advanced the field by providing a systematic review of project leadership, developing potential future directions for project leadership research and providing practical implications for career development and training.

AISI 4140 is a versatile, low alloy steel often used in various applications in mechanical systems and manufacturing processes. To mention a few in processes such as friction stir welding tooling and in engine components, temperatures above 700°C coupled with wear. Despite its versatility, it is still susceptible to wear and corrosion. A common method to address this shortcoming is physical vapor deposition (PVD) coating. This study aims to experimentally investigate the wear performance of AISI 4140 PVD coated with titanium nitride (TiN) and titanium aluminum nitride (TiAlN) at room and elevated temperatures.

Two sets of three samples were prepared. Where one sample was uncoated AISI 4140, TiN and TiAlN PVD coated, one set was tested at room temperature and the other set at 780°C for comparison purposes. The average coating thicknesses were measured, and the adhesion properties were assessed using a scratch test. Their tribological wear scars were further characterized using scanning electron microscope (SEM) energy-dispersive x-ray spectroscopy (EDS), x-ray diffraction (XRD), Raman and confocal microscopy, and the results were furnished in the paper.

With the scratch test, the first critical load (Lc) on the TiAlN coating was 15% higher than that of the TiN coating. At room temperature, TiN had the highest coefficient at 0.61, while TiAlN was 0.39. After 1,500 s, samples showed run-in and stability. At elevated temperatures, TiAlN started with the highest friction but stabilized later than TiN and uncoated samples, which stabilized after 200 s due to titanium oxide formation. This was due to the formation of an oxidation layer caused by the thermal environment. Hence, the opposite is observed at room temperature. The findings were supported by the Raman, XRD, SEM EDS and areal topography analysis.

The results presented in the study are valuable to design engineers and researchers anticipating wear in high temperature applications. Therefore, with these results, reasonable, informed decisions can be made about specific design requirements.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-09-2024-0354/

Debate persists regarding the transformation between team task conflict and relationship conflict. Based on conflict spiral and team effectiveness theory, this study aims to explore whether and when these conflicts transform over time.

To address endogeneity in existing research and to test theoretical model, the authors conduct a two-stage structural equation modeling meta-analysis using a cross-lagged panel model based on 32 longitudinal studies (N = 2361).

The meta-analytic results are as follows: (a) Early team task conflict leads to an increased subsequent relationship conflict while controlling for another form of conflict at each time point (Time 1 and Time 2). This relationship is positively moderated by team size and negatively moderated by interdependence, but not moderated by time lag. Specifically, task conflict generates higher levels of relationship conflict in larger teams or teams with lower interdependence. (b) While controlling for another form of conflict at each time point, early relationship conflict within teams does not significantly relate to task conflict over time. Team size, interdependence and time lag do not significantly moderate this relationship.

These findings help scholars better understand team conflict transformation processes and present managerial implications for practitioners. The limited sample sizes precluded the exploration of more moderators and the interactions among them.

The uniqueness of this paper is related to its effort in clarifying the temporal precedence of two forms of conflict, reconciling previous inconsistencies in conflict transformation by exploring moderators and addressing endogeneity in existing research.

This study aims to address the growing challenges posed by consumerist behavior in ecosystems, leading to increased waste production and escalating costs in waste management. The goal is to investigate the waste management efficiency of Italian municipalities and the factors affecting their efficiency levels.

A two-stage bootstrap Data Envelopment Analysis (DEA) is used to assess the waste management efficiency level of a selected sample of 147 Italian municipalities. Additionally, a truncated regression model is used to investigate the factors affecting waste management efficiency.

This study reveals a medium-high level of waste management efficiency across Italian municipalities. Additionally, it highlights the negative effect of unemployment rates on waste management efficiency within Italian municipalities, alongside the positive influence of the council’s political ideology and electoral turnout.

The novelty of this study is the unique application of combined methods in the Italian context, providing a nuanced perspective on municipal waste management efficiency. This approach contributes novel insights to the existing literature in this field.

This study aims to explore how artificial intelligence (AI) tools influence the academic success and adaptation of international students in higher education. It examines the benefits, challenges and ethical considerations including academic integrity of integrating AI in learning environments.

An exploratory qualitative research approach was employed, utilising semi-structured interviews with postgraduate international students from diverse backgrounds.

The findings suggest that AI tools enhance academic performance by offering personalised learning, immediate feedback and efficient assessment. However, concerns about ethical use, over-reliance and the potential impact on critical thinking and academic integrity were prominent in the contexts of assessments and learning experiences.

The research offers unique insights by focusing on postgraduate international students, an often-underrepresented group in AI education studies. Their distinctive challenges, including adapting to new academic environments and overcoming language barriers, make them a particularly valuable sample for understanding the role of AI in higher education. This focus allows the study to contribute new perspectives on how generative AI (GenAI) tools like Grammarly and ChatGPT facilitate academic performance improvement, especially in enhancing writing proficiency and managing academic expectations. These findings extend the discussion by specifically addressing the experiences of international students in postgraduate studies, a demographic where AI’s impact has been less explored.