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Sustainability has become the topic of the era, and the world is moving toward a circular economy. As part of it, companies are also integrating sustainability in supply chain management. Therefore, this study conducts a technology-empowered systematic literature review to examine the state of the literature on the technologies in the sustainable supply chain. The review reveals that limited studies have been conducted in the area. There is still scope for the researchers to explore new innovative technologies, many clusters in author collaboration, and involve more sectors in the study. Future studies can enrich the field by employing other methodologies like meta-analysis review.

This study aims to comprehensively examine sustainable mutual funds (SMFs) research by conducting a systematic literature review and bibliometric analysis of articles spanning 33 years from 1991 to 2023. This review seeks to uncover the principal contributors and the structural framework of knowledge within the realm of business, finance and management research concerning SMFs.

Following the “Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR)” methodology, the author selected 597 documents for the analysis and collected the bibliographic information from the Scopus database. The author uses RStudio and VOSviewer software to address five research questions.

The findings indicate a notable expansion in research concerning SMFs within high-quality journals over the last 33 years. The review illuminates the principal contributors in SMFs research by using performance analysis based on journal, article, author, country and institution criteria. By using science mapping techniques, the author identifies five prevailing themes and outlines future research prospects in the domain of SMFs.

This review paper can serve as a roadmap for future researchers, aiding them in discerning the trending research topics within this domain.

To the best of the author’s knowledge, this is the first study that comprehensively provides an overview of different variants, diverse strands and research hotspots of SMFs literature. The study offers insight into the evolution of SMFs, showcasing their progression from a segmented market to a prominently specialized domain in the contemporary landscape.

The study responds to the common concerns of authors, reviewers, and editors on writing and publishing high-quality literature review (LR) studies. First, we evolved the background and decision elements on the five parameters of a quality LR paper: Planning, Operationalizing, Writing, Embedding, and Reflecting (POWER), from the editorials and guiding literature. Statistical procedure and refinement of 256 responses from writers, reviewers, and editors revealed 37 decision elements. Finally, a multicriteria-decision-making approach was applied to the detailed responses from the lead editors of ABDC, Scopus, ABS, and WoS journals, and 31 decision elements were found strong enough to represent these five parameters on the quality of LR studies. All five parameters are found important to be considered. However, a high priority is suggested for embedding (the results coming out of the review) and operationalizing (the process of conducting the review), whereas reflection, writing, and planning of LR papers still remain important. The purpose of the POWER framework is to overcome the challenges and decision dilemmas faced by writers and decision-makers. The POWER framework acts as a guiding tool to conduct LR studies in general and business management scholars in specific ways. In addition, this study provides a checklist (Table 6) and template (Appendix A1) of a quality LR study to its stakeholders.

Taking a business lens of telehealth, this article aims to review and provide a state-of-the-art overview of telehealth research.

This research conducts a systematic literature review using the scientific procedures and rationales for systematic literature reviews (SPAR-4-SLR) protocol and a collection of bibliometric analytical techniques (i.e. performance analysis, keyword co-occurrence, keyword clustering and content analysis).

Using performance analysis, this article unpacks the publication trend and the top contributing journals, authors, institutions and regions of telehealth research. Using keyword co-occurrence and keyword clustering, this article reveals 10 major themes underpinning the intellectual structure of telehealth research: design and development of personal health record systems, health information technology (HIT) for public health management, perceived service quality among mobile health (m-health) users, paradoxes of virtual care versus in-person visits, Internet of things (IoT) in healthcare, guidelines for e-health practices and services, telemonitoring of life-threatening diseases, change management strategy for telehealth adoption, knowledge management of innovations in telehealth and technology management of telemedicine services. The article proposes directions for future research that can enrich our understanding of telehealth services.

This article offers a seminal state-of-the-art overview of the performance and intellectual structure of telehealth research from a business perspective.

With a growing preference for active, authentic, and cultural experiences over traditional ones, creative tourism has garnered significant academic interest. This study offers a comprehensive review of creative tourism research, delineating its evolution, prominent contributors, pivotal areas, and prospective trajectories through a bibliometric analysis.

Employing a bibliometric analysis using the biblioshiny and VOSviewer software, this study systematically reviews 198 articles on creative tourism identified and retrieved from the Scopus database.

A notable increase in creative tourism research is witnessed in recent times, with Portugal and the Netherlands leading in publications and citations, respectively. This review also pinpoints key authors, countries, institutions, and journals shaping the field, and presents emerging themes such as authenticity and creative experience, culture and heritage, urban and rural contexts, and co-creation in creative tourism.

Identifying core research contributors (authors, countries, institutions, journals) and contributions (themes, topics) assists academics in seeking collaborations and shaping future research. Practitioners are advised to adapt these trends (authenticity, co-creation, sustainability) into their strategic planning to meet market demands.

This study offers a seminal review of creative tourism through a bibliometric analysis, a technique that leverages the power of technology (data, software) to engage in retrospection and projection—the hallmark of benchmarking studies across fields, including tourism. Noteworthily, this study provides a detailed summary of the field’s trajectory and significant trends, positioning itself as an essential reference for academic scholars, industry professionals, and policymakers with a keen interest in creative tourism.

This article undertakes a literature review on showrooming, offering an exhaustive overview of research publications and future research objectives that will contribute to extending the understanding of the phenomenon.

The showrooming literature has been collected from journals indexed by SCOPUS and ranked by ABDC. This was later analysed with the SPAR-4-SLR framework and the TCCM methodology (theories, contexts, characteristics, and methodologies) proposed by Paul et al. (2021) and Paul and Rosado-Serrano (2019).

The insights of this review include bibliometrics of showrooming research and the number of explored showrooming theories, methodologies, and contexts from which the phenomenon has been studied. It also highlights the various aspects that might be considered while building an optimal approach.

Articles published in SCOPUS-indexed and ABDC-ranked journals between 2012 and August 2022 were considered. Some articles published in conference proceedings and journals, not fulfilling the aforementioned criteria, might have been missed.

SPAR-4-SLR and TCCM methodologies would aid the researchers in further exploration of this phenomenon and suggest options for enhancing customer experience (CX) eventually leading to customer retention. Retail channel managers will find this knowledge handy in “encouraging loyal showrooming” and ensuring business sustainability.

This study uses the novel SPAR-4-SLR framework to structure the review, while TCCM methodology sheds light on the showrooming from the perspective of various theories, contexts, characteristics, and methodologies. The scope for further research identified through the above-mentioned framework and methodology would be of high value to the researchers and practitioners alike.

This study aims to extend the study of COVID-19 effects by identifying different consumer behaviors beyond panic buying during the pandemic.

A systematic review was based on Herjanto et al.’s (2020a) thematic analysis and Paul et al.’s (2021) 5W1H framework, and the authors analyzed 52 related papers.

The result findings indicated that during the COVID-19 pandemic, consumers fell into five different consumer behavior categories: health-related behaviors, consumption behaviors, ethical behaviors, behavioral intentions, and other related behaviors, and social connectedness behaviors. Findings show that consumer behaviors were increasingly complex and dynamic during the pandemic.

This systematic review will provide significant contributions to academia by offering general and technical insights and to practitioners by presenting guidelines on dealing with such different behaviors.

Integrated reporting (<IR>) promotes transparency in corporate reporting and communicate detailed information on how a firm creates value in the short, medium and long-term. The purpose of this paper is to systematically review <IR> to provide insights into theories, determinants, consequences, contingent variables and methods that have been used in previous studies.

The study was based on a systematic review of 17 articles published between 2017 and 2020.

Nine theories were used in prior studies. Board size, diversity, independence, level of activity of the board, the establishment of Higher Education Institutions (before or after 1992), adoption of IR framework, size, institutional ownership, sustainability committee and the use of non-financial performance measures in executives’ compensation contracts and separate risk management committees are determinants of <IR>. Further, the positive impact of <IR> on information asymmetry, market valuation of environmental, social and governance performance, financial performance, intellectual capital, sustainability embeddedness and organisational change, external sense of legitimacy and reputation, revenue growth, corporate environmental performance and circular economy-related information, with mixed findings for analyst earnings forecast accuracy, company value and market value. Only three studies used moderating and mediating variables to examine <IR>. Quantitative research approach and secondary data are most preferred by <IR> scholars.

Some papers may have been omitted unintentionally, although the author did his best to include most of the prior published articles using a rigorous methodology.

This paper set out future research agenda on how <IR> research could be enhanced.

Contrary to prior systematic reviews that consider individual constructs/concept, the review herein adopts a comprehensive approach and considers moderating and mediating variables aside from theories, effects and determinants of integrated reporting.

Deep learning (DL) technologies assist manufacturers to manage their business operations. This research aims to present state-of-the-art insights on the trends and ways forward for DL applications in manufacturing operations.

Using bibliometric analysis and the SPAR-4-SLR protocol, this research conducts a systematic literature review to present a scientific mapping of top-tier research on DL applications in manufacturing operations.

This research discovers and delivers key insights on six knowledge clusters pertaining to DL applications in manufacturing operations: automated system modelling, intelligent fault diagnosis, forecasting, sustainable manufacturing, environmental management, and intelligent scheduling.

This research establishes the important roles of DL in manufacturing operations. However, these insights were derived from top-tier journals only. Therefore, this research does not discount the possibility of the availability of additional insights in alternative outlets, such as conference proceedings, where teasers into emerging and developing concepts may be published.

This research contributes seminal insights into DL applications in manufacturing operations. In this regard, this research is valuable to readers (academic scholars and industry practitioners) interested to gain an understanding of the important roles of DL in manufacturing operations as well as the future of its applications for Industry 4.0, such as Maintenance 4.0, Quality 4.0, Logistics 4.0, Manufacturing 4.0, Sustainability 4.0, and Supply Chain 4.0.