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This study aims to present the evolution of decent work studies. Findings point to several directions for future research efforts, including conceptualizing decent work and the pandemic’s associated impact. Results will help to guide government authorities to promote decent work by delivering fair income, increasing the stability and security of employment and monitoring employees’ work-life balance.

This review consists of knowledge mapping based on keywords from multidisciplinary studies on decent work and the preferred reporting items for systematic reviews and meta-analyses (PRISMA) model on tourism and hospitality studies. First, keyword knowledge mapping was conducted in VOSviewer, resulting in 667 papers. Then, a PRISMA model generated a systematic review of the literature in tourism and hospitality based on 41 papers.

Knowledge mapping revealed six thematic clusters, namely, Labor Rights and Gender Equality, Sustainability and Health, Psychology of Working Theory, Conceptualization of Decent Work, Marginalized Groups and Unemployment and Job Quality. According to the PRISMA model, the conceptual evolution of decent work in tourism and hospitality can be divided into three stages: initial (1999–2008), emerging (2009–2018) and development (2019–present).

Based on the findings, further interdisciplinary research into decent work is recommended. Scholars in the tourism and hospitality sector can incorporate other fields of decent work, such as psychology, to broaden the lens of studies to discover the role of meaning and purpose in the workplace and to promote the concept to its fullest extent. Furthermore, employees’ assessments of decent work might help businesses improve human resources management via corporate social responsibility measures.

To the best of the authors’ knowledge, this study is the first systematic review of decent work in tourism and hospitality. It shows that this notion is in its infancy, as most studies on the topic thus far have been empirical and descriptive. Nonetheless, most findings contribute to knowledge and practice by clarifying industry employment conditions.

Academic coaching (AC) has gained a significant attention to support student success and achievement in higher education, management and psychology. This study aimed to conduct a comprehensive bibliometric analysis of AC literature to identify the top authors, research patterns, hotspots and research topics in the field.

The study utilized a bibliometric analysis of articles published between 1987 and 2023, using descriptive and network analysis methods with tools such as RStudio, Biblioshiny, Excel and VOSviewer. The study also conducted functional, mapping and content analysis, to identify AC literature's key themes and research areas.

The results revealed an increasing interest in AC, with increased publications. However, there are gaps in geographical diversity and authorship. Most studies were conducted in the United States of America and the UK, and were published in education, psychology and coaching journals. Common themes included coaching, professional development, higher education and mentoring. Emerging research areas include: coaching efficacy in education, AC as an online learning support and professional learning communities. More studies are needed in different contexts and with larger sample sizes.

This comprehensive bibliometric analysis adds to the existing literature by presenting a detailed analysis of the field of AC, filling a gap in the current literature. The study's unique contribution is its examination of emerging research areas and themes in AC literature, providing directions for future research. This study is particularly relevant for researchers, practitioners and policymakers interested in understanding AC's state of the art and identifying promising areas for future research.

In parallel with the rising importance of innovation and digital technologies, research on platform ecosystems is rapidly accumulating. This study aims to summarize the current research published in leading technical and innovation management (TIM) journals and provide recommendation for future research.

In this paper, the authors combine multiple quantitative literature review methods (social network analysis, citation analysis and co-citation analysis) with a systematic literature review of articles published in the 13 most influential TIM journals over a 15-year period.

The citation network of 168 selected papers is sparse, with low network density indicating the emerging nature of the field. Using network centrality values, the authors identified the 33 most influential articles. The review of methodologies in these articles found that conceptual and case study research dominate, suggesting the need for additional confirmatory and quantitative analysis. Co-citation analysis of the references identified six research clusters: foundation, network-centric innovation, complementor management, platform competition, ecosystemsand product platforms.

This analysis is among the first to examine the knowledge structure of platform ecosystem research in the TIM domain by using multiple evidence-based analysis methods. The authors also apply the theory, context, characteristics and methodology framework to suggest areas for future research.

The new technology aspects of Industry 4.0 (I4.0), such as digital technologies including artificial intelligence (AI), block chain, big data analysis and the internet of things (IoT) as a digital cosmos, have the potential to fundamentally transform the future of business and supply chain management. By augmenting the functional components of the food supply chain (FSC), these technologies can transform it into an intelligent food supply chain (iFSC). The purpose of this study is to identify the I4.0 utilization for FSC to become an iFSC. Additionally, it suggests future research agendas to bridge the academic knowledge gaps.

This study utilizes the bibliometric analysis methodology to investigate the techno-functional components of iFSC in the context of I4.0. The study followed steps of bibliometric analysis to assess existing components’ knowledge in the area of intelligent food supply chain management. It further reviews the selected articles to explore the need for I4.0 technologies’ adoption as well as its barriers and challenges for iFSC.

This study examines the integration of emerging technologies in FSC and concludes that the main emphasis is on the adoption of blockchain and internet of things technology. To convert it into iFSC, it should be integrated with I4.0 and AI-driven FSC systems. In addition to traditional responsibilities, emerging technologies are acknowledged that are relatively uncommon but possess significant potential for implementation in FSC. This study further outlines the challenges and barriers to the adoption of new technologies and presents a comprehensive research plan or collection of topics for future investigations on the transition from FSC to iFSC. Utilizing artificial intelligence techniques to enhance performance, decision-making, risk evaluation, real-time safety, and quality analysis, and prioritizing the elimination of barriers for new technologies.

The uniqueness of this study lies in the provision of an up-to-date review of the food supply chain. In doing so, the authors have expanded the current knowledge base on the utilization of all I4.0 technologies in FSC. The review of designated publications yield a distinctive contribution by highlighting hurdles and challenges for iFSC. This information is valuable for operations managers and policymakers to consider.

This study aims to gain a deeper understanding of the industry practice to guide the formation of support tools with a rigorous theoretical backing. Cross-functional teams are an essential component in new product development (NPD) of complex products to promote comprehensive coverage of product design, marketing, sales, support as well as many other activities of business. Efficient use of teams can allow for greater technical competency coverage, increased creativity, reduced development times and greater consideration of ideas from a variety of stakeholders. While academics continually aspire to propose methods for improved team composition, there exists a gap between research directions and applications found within industry practice.

Through interviewing product development managers working across a variety of industries, this paper investigates the common practices of team utilization in an organizational setting. Following these interviews, this paper proposes a conceptual two-dimensional management support model aggregating the primary drivers of team success and providing direction to systematically address features of team management and composition.

Based on this work, product managers are recommended to continually address the positioning of members throughout the entire NPD process. In the early stages, individuals are to be placed to work on project components with explicit consideration toward the perceived complexity of tasks and individual competency. Throughout the development process, individuals’ positions vary based on new information while continued emphasis is placed on maintaining a shared understanding.

Bridging the gap between theory and application within product development teams is a necessary step toward improved product develop. Industrial settings require practical solutions that can be applied economically and efficiently within their organization. Theoretical reflections postulated by academia support improved team design; however, to achieve true success, they must be applicable when considering product development.

The purpose of this review paper is to address the need for mapping the thematic structure of fuzzy-set qualitative comparative analysis (fsQCA) in the context of tourism and hospitality research, in response to the growing interest in this methodology.

This study conducts a comprehensive systematic review using the SPAR-4-SLR procedure to produce a scientific map of top-tier research using the fsQCA technique in tourism and hospitality studies.

A major finding of this review investigation is the identification of six knowledge clusters: business competitiveness in the hospitality sector; psychoanalysis of tourist behaviour and satisfaction; entrepreneurship in the tourism and hospitality sector; tourism business ecosystem; sustainable tourism; and service quality in the tourism and hospitality sectors.

Although this review assessment relied heavily on articles published in prestigious journals, it does not rule out the idea that other sources, such as conference proceedings, can provide valuable insight.

Novel insights into the intellectual structure of tourism and hospitality research using the fsQCA technique, as well as ideas for future exploration in this domain, are presented in this review.

Within the context of the nonprofit resiliency framework, the authors use nonprofit functional expenses and contribution revenue to explore how the COVID-19 pandemic affected the ability of nonprofits in different subsectors to carry out their mission, as well as their ability to “pivot” fundraising strategies to integrate social media and digital engagement.

The authors use IRS form 990 return data for organizations with a year-end return that includes at least six months of COVID-19 impact (“Wave 1 Effects” period) and also have a prior-year return (“Business as Usual” period). The authors use Wilcoxon signed rank tests to examine whether there are differences in our variables of interest between the two periods.

While the majority of nonprofits in most subsectors experienced a significant decrease in program spending, fundraising spending and fundraising efficiency ratios between the two time periods, the authors found variation in the change in contribution revenue and fundraising ratio between the two periods between subsectors. The authors also find that the percentage of nonprofits able to “pivot” their fundraising strategies varies by subsector between 13.33 and 31.23%.

This paper provides new information regarding the pandemic's initial effect on nonprofit program and fundraising spending, the related contribution revenue and the ability of nonprofits to “pivot” fundraising to remote strategies. The authors propose a more robust fundraising efficiency measure and a new measure indicating a nonprofit's “ability to pivot” their fundraising strategy. The authors encourage future researchers to conduct further longitudinal studies to understand how these effects may continue or change.

The healthcare sector increasingly recognizes how critical sustainable supply chains are to lowering environmental impact, boosting productivity and satisfying public expectations for morally and responsibly provided healthcare. Consequently, the current study aims to thoroughly evaluate the literature on the sustainability of healthcare supply chain management.

The paper uses a systematic literature review (SLR) technique and bibliometric review to examine the benefactions of different authors, nations and organizations to healthcare sustainability through bibliometric and network analyses.

The study concludes that the healthcare industry may advance sustainability on all levels by incorporating technology into the fundamentals of sustainability. Patient care is given priority in this proposed approach, which can also help healthcare executives create strategies that support efficient healthcare supply chains.

The research study can serve as a basis for future investigations into additional healthcare management domains, where integrating a sustainable supply chain can yield superior and observable results and bridge deficiencies in management protocols.

Using bibliometric visualization, this study shows the relevance of sustainability in the healthcare supply chain. By identifying its advantages, present-day circumstances, applications and prospective future research fields, the study took up the review and relevance of sustainability in many parts of the healthcare industry.

The application of lean and quality improvement methods is very common in process improvement projects at organisational levels. The purpose of this research is to assess the adoption of Lean Six Sigma™ approaches for addressing a complex process-related issue in the coal industry.

The sticky coal problem was investigated from the perspective of process-related issues. Issues were addressed using a blended Lean value stream of supply chain interfaces and waste minimisation through the Six Sigma™ DMAIC problem-solving approach, taking into consideration cross-organisational processes.

It was found that the tendency to “solve the problem” at the receiving location without communication to the upstream was, and is still, a common practice that led to the main problem of downstream issues. The application of DMAIC Six Sigma™ helped to address the broader problem. The overall operations were improved significantly, showing the reduction of sticky coal/wagon hang-up in the downstream coal handling terminal.

The Lean Six Sigma approaches were adopted using DMAIC across cross-organisational supply chain processes. However, blending Lean and Six Sigma methods needs to be empirically tested across other sectors.

The proposed methodology, using a framework of Lean Six Sigma approaches, could be used to guide practitioners in addressing similar complex and recurring issues in the manufacturing sector.

This research introduces a novel approach to process analysis, selection and contextualised improvement using a combination of Lean Six Sigma™ tools, techniques and methodologies sustained within a supply chain with certified ISO 9001 quality management systems.