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Configuring strategies to ensure a health service provider’s resilience when extreme disruptions occur is not simple. Optimal configuration in such circumstances is rare. Therefore, this research has relied on the dynamic capability view (DCV) to develop a decision-support framework for configuring resilience strategies that will mitigate the worst challenges and improve the performance of health service providers during “extreme” disruptive events.

The research adopted a multi-study, multi-method approach comprising interviews, quality function deployment (QFD), and fuzzy set qualitative comparative analysis (fsQCA).

The findings reveal that, during a crisis, standalone resilience strategies are not enough. To guarantee performance, healthcare services require a combination of resilience strategies and a negation of challenges.

This research extends our current knowledge of healthcare operational management by offering optimal configurations of resilience strategies to manage performance during extreme disruptions. Thus, it offers strategic insights into how health-service managers can be more resilient during a crisis.

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.

This research objective is to (1) examine the effect of organizational factors on quality performance, (2) examine the effect of quality performance on competitive advantage and (3) examine the mediating role of quality performance between organizational factors and competitive advantage.

The research sample includes 140 employees in the Windusari village-owned enterprise, in Magelang, Indonesia. Data are collected using 5-Likert scale questionnaires which follow Ferdousi et al. (2019). The dependent variable is a competitive advantage. The Independent variable is organizational factors which are top management support, employee empowerment, employee involvement, reward and recognition, training and customer focus. The mediating variable is quality performance. Data analysis uses path analysis provided by structural equation modeling.

Based on path analysis, organizational factors have a positive effect on quality performance, quality performance has a positive effect on competitive advantage and quality performance mediates the effect of organizational factors on competitive advantage. The results confirm the concept of quality management where continuous improvement of products and services can meet customer expectations and bring the organization to a better position in the industry to face other competitors.

This research extends the previous studies of the relationship between organizational factors and organizational outcomes by considering the effectiveness of the organizational process. This research also contributes to giving new evidence about the relationship between organizational factors, quality management and competitive advantage in the village-owned enterprise in Magelang, Indonesia. This research also contributes to updating the literature on the theory of quality management.

This paper examines the impact of lived experiences and attitudinal blueprints on researchers within the context of masculinities research. It explores the negotiation of gendered roles, exploring how personal narratives shape our engagement in gender research and the collaborative process of meaning-making. It discusses the methodological tensions surrounding narrative research and naturalistic inquiry when investigating masculinities.

Adopting a feminist post-structuralist lens, this paper analyses the discursive nature of masculinities and its theoretical and historical construction, alongside the use of narrative research methodologies in research practices.

The paper reinforces the importance of feminist frameworks in deconstructing gender norms and challenging implicit assumptions. The role of reflexivity in the research process and the potential for researcher subjectivity as a resource is emphasised. Drawing on existing scholarship and the authors' empirical research experiences, the importance of researcher reflexivity in recognising the potential for gender performativity in the research setting is emphasised, especially in gendered research spaces and when engaging with methodologies tacitly understood through gendered ideological lenses.

The paper contributes to ongoing scholarly discussions exploring the intersection of gender, theory and practice.

The paper's theoretical exploration contributes to understandings of gender dynamics in research and offers insights into the complexities of conducting masculinities research from a critical perspective. The paper contributes to ongoing scholarly discussions exploring the intersection of gender, theory and practice.

This study investigates the individual and binary (i.e. combined) effects of institutional dimensions of open government data (which include instructional, structural and accessible rules) on scientific research innovation, as well as the mediating roles that researchers' perceived data usefulness and data capability play in between.

Based on a sample of 1,092 respondents, this study uses partial least squares structural equation modeling (PLS-SEM) and polynomial regression with response surface analysis to evaluate the direct and indirect effects of individual and binary institutional dimensions on scientific research innovation.

The findings demonstrate that instructional, structural and restricted access data have a positive effect on scientific research innovation in the individual effect. While the binary effect of institutional dimensions produces varying degrees of scientific research innovation. Furthermore, this study discovers that the perceived usefulness and data capability of researchers differ in the mediating effect of institutional dimensions on scientific research innovation.

Theoretically, this study contributes new knowledge on the causal links between data publication institutions and innovation. Practically, the research findings offer government data managers timely suggestions on how to build up institutions to foster greater data usage.

The psychological theory of self-determination postulated that gamification enhances learning engagement by intrinsically motivating learners to undertake tasks spontaneously. Gamification has then been integrated into adult learning as part of the initiative of learner-centred pedagogies to curb the low retention rates of adult learners who struggle with heavy work commitments, family obligations and financial pressure. Gamification, being one of the technological mediations, assumes the crucial role of engaging and retaining adult learners. Adult learners have received less attention in research when compared with conventional university students. The purpose of this study is to conduct a bibliographic analysis to assess the past, present and future publication trends of gamifying adult learning and to identify the research gap.

This study included publications related to gamification and adult learning from 2014 to 2022, extracted from Dimensions. A total of 79,864 publications were retrieved initially, and 3,469 publications were ultimately selected for final analysis after the refinement of the keyword search. VOSviewer was used for bibliographic coupling, keyword co-occurrence, clustering and co-citation analysis of countries.

The number of publications related to gamification in adult learning has decreased since its peak in 2020. The saturation is mainly concentrated in the USA, the UK and China, with similar levels of national income and technology advancement skills. However, gamification in adult learning remains a popular and growing research area in developing countries like Malaysia, which has huge potential due to government investments in education, technology and lifelong learning. There is also an evident research gap on gamification, adult learning and personality traits, which have not been covered in previous studies.

Prior research mostly focused on systematic literature reviews, while the use of bibliometric analysis could be a missing link in this research domain. This paper unveils the evolution of publications on this topic over time by scientifically analysing a large number of publications and rigorously identifying research gaps contributing to future research avenues.

We review and synthesize the existing research on directors' and officers’ (D&O) liability insurance. Our objectives are (1) to examine the institutional forces and regulatory requirements that have influenced the development of D&O liability insurance; (2) to identify the factors that influence firms to purchase D&O liability insurance and explore the consequences associated with its usage and (3) to identify gaps in the current literature and provide recommendations for future research on D&O liability insurance.

We perform a systematic literature review (SLR) using the Preferred Reporting Items for a Systematic Review of Meta-Analysis (PRISMA) guidelines to examine archival studies that investigate the determinants and consequences of D&O liability insurance. Using a Boolean search strategy on the “Web of Science” (WoS) and PRISMA selection criteria, we review 64 published archival research articles and three working papers from 1987 to October 2023.

Our review reveals that disclosing detailed information regarding D&O liability insurance, such as total insurance premiums and coverage limit, is predominantly voluntary, except in Taiwan. Our findings suggest that the decision to purchase D&O liability insurance is influenced by litigation risk, which is determined by factors such as firm size, complexity and corporate governance variables. We also find that D&O liability insurance has implications for financial reporting, audit outcomes, investment behavior and capital market performance.

In the post-COVID era, where firms face pressure due to financial constraints, our research emphasizes the practical importance of carefully considering and understanding the impact of D&O liability insurance, particularly as it concerns the demand for such insurance.

To the best of our knowledge, this study represents the first systematic review of previous research on D&O liability insurance. Our review highlights some research gaps, particularly in relation to the implications for financial reporting practices, auditing outcomes, firm investment behavior and capital market consequences.

This study surveyed the entrepreneurship community on a large university campus in 2016 and in 2020 to identify and understand its information habits and needs. User needs can inform service design and assessment, as well as inform approaches to reference interactions. Librarians are encouraged to conduct similar surveys to better understand this niche population.

Investigators employed repeated cross-sectional design, a longitudinal research approach that draws on samples of non-overlapping or minimally overlapping cases over time. Qualitative and quantitative data were collected using online survey instruments. Data collected included demographic information, venture characteristics, participation in institutional activities such as accelerator programs and credit courses, general startup research behaviors and needs, and details of a specific instance of business or market research as well as interaction with the library and access to training. Triangulation of semantic and episodic was applied to draw reliable conclusions about respondent behavior.

In both surveys, over half of respondents were students and 75% of respondents were engaged in startup activity, most at the early stages. While respondent demographics, type and purpose of information sought remained constant between the two surveys, awareness and use of the library rose on several metrics. Coding revealed insights into respondents’ attitudes toward and strategies for secondary business research. Information obtained during the research process had a moderate impact on their ventures. These findings informed the development of library research and instruction services, programs, and collections for entrepreneurs.

The repeated cross-sectional design of the study is unique and shows trends in the community over time. The mixed-methods approach provides a robust and nuanced portrait of the community. These findings informed the development and assessment of library research and instruction services, programs and collections for entrepreneurs.

This review paper aims to explore and investigate the Quality 4.0 current knowledge, emerging areas, and trends available in the literature and provide insights for future research directions. The bibliometric analysis determines the most prominent journals, authors, countries, articles, and themes. The Citation and PageRank analysis identifies the most influential and prestigious articles. The author's keyword analysis identifies the research theme, patterns, and trends within a particular area of research.

This study utilised the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analysis) declaration as a review protocol, and the data is retrieved accordingly. Therefore, 104 articles from Scopus and 28 from Web of Science were combined in R-Environment, and 25 duplicates were removed using RStudio. Finally, 107 papers were selected for further analysis. After the abstract level screening, the study reviewed 99 articles bibliographically published in peer-reviewed journals from prominent academic databases Scopus and WoS between 2011 to April 2023. We used the VOSviewer software tool for analysing bibliometric networks that allow the construction, visualisation, and exploration of maps based on any form of network data.

The review identified emerging themes: artificial intelligence, digitalization, sustainability, root cause analysis, topic modelling, and digital voice-of-customers. To establish the intellectual structure of the field and identify gaps, co-citation and content analysis were used. The content of 49 papers in the identified clusters was then carefully analysed. The four primary themes are the relationship of Quality 4.0 with Industry 4.0, the conceptualization of Quality 4.0, recommendations for the new Quality 4.0 model, and the impact of Quality 4.0. The findings provide an excellent foundation for future research in this field for policymakers, managers, practitioners, and academia.

This is the first systematic literature review-cum-bibliometric analysis on quality 4.0 that covers the field comprehensively. Based on the present review, the paper proposes six possible future research directions to investigate.

Construction experts acknowledge the adverse effects of rework on project performance. However, the limited understanding of its underlying causes remains a significant challenge. Therefore, this study aimed to thoroughly investigate the sources of construction rework.

A mixed review using bibliometric analysis as a quantitative method and content analysis as a qualitative method was performed to understand the current knowledge in the field. The Web of Science (WoS) was selected for its comprehensive collection of major research articles and integrated analytical tools for generating representative data. The study involved an extensive bibliometric analysis of 107 journal articles on rework causes from 1991 to 2023. RStudio Bibliometrix, an R statistical programming package, was used to analyze rework origins. This method involved mapping the research landscape, identifying research gaps and analyzing emerging trends.

The causes of rework can be classified into three main clusters: human- and contractual-based rework causes, design-, quality- and project management-based rework causes and organizational-based rework causes.

Although several studies have addressed rework causes from various perspectives and methods, the topic has not been investigated holistically. This study is the first to leverage the quantitative and qualitative analytical capabilities of the RStudio Bibliometrix package. Innovative approaches, including the use of metrics, such as the h-index, thematic mapping and trend topic analysis, were employed for a comprehensive understanding of rework causes.