Search results

In Part I and Part II of this review series, management research over a 25-year period from 1990 to 2014 from Afghanistan, Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan and Sri Lanka was reviewed (Menon, 2016, 2019). This final paper presents further analysis, including author affiliation analysis, and an exploration of contextual factors affecting management research in each of the eight South Asian countries.

Publication trends and the locational affiliation of the authors (in-country vs external) were analyzed. Country-specific analysis and policy recommendations were developed from an ecological and institutional theory perspective.

There were a total of 1,250 management research articles related to South Asian countries published in 183 journals, with the most being in the International Journal of Human Resource Management (n = 92). The average number of publications per year has steadily increased, nearly doubling in the last five years. An analysis of author affiliations revealed that a majority (64%) of the first authors were based in the West.

The author affiliation analysis in this paper is an original technique and offers empirical evidence that much of quality management research on South Asia is undertaken by scholars external to the region. The review series is the first such comprehensive effort covering management research in all eight South Asian countries over a 25-year period and offers country-specific explanations for the state of management research in these countries.

Decision making in logistics is an increasingly complex task for organizations as these involve decisions at strategic, tactical and operational levels coupled with the triple-bottom line of sustainability. Decision support systems (DSS) played a vital role in arguably solving the challenges associated with decision making in sustainable logistics. The purpose of this paper is to explore the current state of the research in the domain of DSS for logistics while considering sustainability aspects.

A systematic review approach using a set of relevant keywords with several exclusion criteria was adopted to identify literature related to DSS for sustainable logistics. A total of 40 papers were found from 1994 to 2015, which were then analyzed along the dimensions of publishing trend, geographic distribution and collaboration, the most influential journals, affiliations and authors as well as the key themes of identified literature. The analysis was conducted by means of bibliometric and text mapping tools, namely BibExcel, gpsvisualizer and VOSviewer.

The bibliometric analysis showed that DSS for sustainable logistics is an emerging field; however, it is still evolving but at a slower pace. Furthermore, most of the contributing affiliations belong to the USA and the UK. The text mining and keyword analysis revealed key themes of identified papers. The inherent key themes were decision models and frameworks to address sustainable logistics issues covering transport, distribution and third-party logistics. The most prominent sustainable logistics issue was carbon footprinting. Social impact has been given less attention in comparison to economic and environmental aspects. The literature has adequate room for proposing more effective solutions by considering various types of multi-criteria decision analysis methods and DSS configurations while simultaneously considering economic, environmental and social aspects of sustainable logistics. Moreover, the field has potential to include logistics from wide application areas including freight transport through road, rail, sea, air as well as inter-modal transport, port operations, material handling and warehousing.

To the best of the authors’ knowledge, this is the first systematic review of DSS for sustainable logistics using bibliometric and text analysis. The key themes and research gaps identified in this paper will provide a reference point that will encourage and guide interested researchers for future study, thus aiding both theoretical and practical advancements in this discipline.

Using analytics for firms' competitiveness is a vital component of a company's strategic planning and management process. In recent years, organizations have started to capitalize on the significant use of big data for analyses to gain valuable insights to improve decision-making processes. In this regard, leveraging and unleashing the potential of big data has become a significant success factor for steering firms' competitiveness, and the related literature is increasing at a very high pace. Thus, the authors propose a bibliometric study to understand the most important insights from these studies and enrich existing conceptual models.

In this study, the authors use a bibliometric review on articles related to the use of big data for firms' competitiveness. The authors examine the contributions of research constituents (authors, institutions, countries and journals) and their structural and thematic relationships (collaborations, co-citations networks, co-word networks, thematic trends and thematic map). The most important insights are used to enrich a conceptual model.

Based on the performance analysis results, the authors found that China is by far the most productive country in this research field. However, in terms of influence (by the number of citations per article), the most influential countries are the UK, Australia and the USA, respectively. Based on the science mapping analysis results, the most important findings are projected in the common phases of competitive intelligence processes and include planning and directions concepts, data collection concepts, data analysis concepts, dissemination concepts and feedback concepts. This projection is supplemented by cross-cutting themes such as digital transformation, cloud computing, privacy, data science and competition law. Three main future research directions are identified: the broadening of the scope of application fields, the specific case of managing or anticipating the consequences of pandemics or high disruptive events such as COVID-19 and the improvement of connection between firms' competitiveness and innovation practices in a big data context.

The findings of this study show that the most important research axis in the existing literature on big data and firms' competitiveness are mostly related to common phases of competitive intelligence processes. However, concepts in these phases are strongly related to the most important dimensions intrinsic to big data. The use of a single database (Scopus) or the selected keywords can lead to bias in this study. Therefore, to address these limitations, future studies could combine different databases (i.e. Web of Science and Scopus) or different sets of keywords.

This study can provide to practitioners the most important concepts and future directions to deal with for using big data analytics to improve their competitiveness.

This study can help researchers or practitioners to identify potential research collaborators or identify suitable sources of publications in the context of big data for firms' competitiveness.

The authors propose a conceptual model related to big data and firms' competitiveness from the outputs of a bibliometric study.

The purpose of this paper is to review and explore the primary characteristics of the best papers, which have been selected by the Toulon-Verona Conference (TVC) Excellence in Services scientific committee for the period 2008-2016.

The study includes a review of the best papers (n = 51) selected by the TVC’s scientific committee from 2008 to 2016 and obtained through the TVC’s archives. The primary highlights of each paper include number of authors, authorship profile (i.e. lead author affiliation, gender, and geographic location), co-authors’ geographic locations, classification of the papers, research topics, varieties of research methods used, number of electronic downloads (as of June 2017), number of citations, and subject keywords. Coding sheet developed to ensure standardization, consistency and to ensure the relevant data were collected for the content analysis. Mixed methods analysis (analyze quantitative data qualitative and and vice versa) was used to provide descriptive statistics.

In total, 51 best papers have been selected by the TVC scientific committee and reflected 145 authors. Lead authors were from a total of 50 HEIs worldwide and one consultant (private sector). Six papers were self-authored while the 45 were multi-authored. The majority of the papers written by Italian authors (58.8 percent); followed by France, Greece, and Sweden (5.9 percent each); Australia, Portugal, Spain, and UK (4 percent each); Austria, Norway, Slovenia, and Vietnam (1.9 percent each). In total, 37 papers were classified as a research paper, 10 case studies, and 4 theoretical.

The analysis for the first time define methodological trends for the TVC’s best papers and suggest possible future research topic and methodological approach for research in the management field.

The findings are unique for the TVC conference, for the TQM’s special issue, which provide practical implications for researchers and conference organizers and contribute to the literature of analyzing published papers.

The purpose of this study is to extend a series of studies dating back to 1967 that evaluates faculty publication productivity in refereed supply chain management and logistics journals.

Publication output and rankings of academic institutions are based on publication data from six supply chain management and logistics journals from 2008 through 2010. The results are compared to prior studies to identify trends and changes in the rankings. The authors also assess author collaboration influences as well as authorship diversity. Finally, the authors examine further changes to the core set of journals considered for future iterations of this study.

The results indicate that supply chain management and logistics authorship continues to be dynamic. Several schools entered the top 25 ranking for the first time and others substantially improved their rankings. While higher‐ranked schools engage in more collaboration within their own institutions, they practice less external and international collaboration. Additionally, the diversity of both individual authors and schools continues to expand, though evidence also suggests some level of emerging stability in sources of authorship.

As limitations, the selected journal set may present bias against some authors and institutions, particularly those from outside North America and those choosing to publish in other journals in the field or in related fields.

This research stream enables authors and universities to judge their relative productivity of academic scholarship in the supply chain management and logistics field. Moreover, the longitudinal analysis provides insight into the evolving maturity of the field itself.

While most researchers would generally agree that the field of logistics has been maturing over recent decades, this maturation has not yet been empirically established. The purpose of this paper is to assess the maturity of research in the field by measuring author concentration in logistics journals over a sixteen‐year period.

Research propositions of logistics author concentration are first developed from the extant literature. The propositions are then tested by assessing author concentration across 1,796 articles from five scholarly, peer‐reviewed logistics journals from 1992‐2007. The results are compared to similar studies of other academic business disciplines, including accounting, finance, management, and marketing. We also apply regression analysis to the time series data to verify changing author concentration trends.

The results indicate that logistics publications generally have higher author concentration than other business disciplines, suggesting that logistics research is less expansive and still maturing compared to these other disciplines. However, logistics author concentration has continued to decrease since 1992 relative to schools, countries, degree‐granting schools, and individual authors. This suggests that the field has been expanding and will continue to do so at a consistent pace in the near future.

This paper allows logistics researchers to better understand the recent research history of the field as well as its future research prospects. Additionally, The implication for is presented the international expansion of the field as well as the increasing acceptance of logistics journals by other academic disciplines. In addition, concerns about increased author competition and research proliferation are voiced.

The purpose of this paper is to quantitatively assess the essential trends of existing research on “puffery in advertising” through bibliometric analysis.

This study uses citation data collected through Scopus and Google Scholar for the research area “puffery in advertising” to investigate the most productive journals, top countries of affiliation and prominent years with maximum citations. The study analyses the 87 articles related to “puffery in advertising,” published during 1840 to 2018. Moreover, this study also presents graphical analysis through network maps.

“Puffery in advertising” has remained an under-researched area. However, records of past ten years indicate marginal growth in the number of publications. USA dominates this research area with most numbers of articles published till date. Through clustering of subject areas, it is found that majority of articles have been published under the subject area of “Business, Management and Accounting.” Interestingly, the results of the network maps slightly differ from that of citation table.

This paper is useful for any reader or researcher who wants to understand the trends of “puffery in advertising” in terms of citation analysis, authors and affiliation countries, and prominent years with maximum citations, which would further enable them to discover emerging research areas, potential research collaborations and publications.

To the knowledge of the authors, this is the first ever bilbiometric study on “puffery in advertising” providing a bird’s-eye view of the essential trends.

The purpose of this paper is to present a detailed analysis of the social enterprises (SE) and social entrepreneurship (SEship) literature that has been published in international journals from 1991 to 2010, determining the intellectual structure of both fields and their maturity as academic fields of study.

Using a quantitative methodology for literature study, named bibliometric analysis, relevant papers were obtained from three important international databases, and SE and SEship journals. An initial number of 1,343 records were identified and, after applying various filters, a total of 286 papers were studied for bibliometric indicators and epistemological orientation.

The study identified a significant increase in the scholarly investigation of SE and SEship in recent years, together with greater collaboration and international research. It was demonstrated that some countries are dominating the SE and SEship research area, such as the UK and the USA, whereas institutional and individual research output is spread more equally. Currently, no author or institution dominates the SE and SEship literature. The epistemological orientation suggests that the published literature is largely of a theoretical and descriptive nature in both fields, with only a small number of predictive papers.

This paper provides important contributions. First, it presents an intellectual structure of SE and SEship as a discipline. Second, it determines the current maturity of the field based on its epistemological orientation, concluding that SE and SEship are maturing, with theory development followed by empirical testing and validation generating an increase in consensus on the boundaries of the field.

The key aim of this study is to highlight current financial technology (FinTech) trends by conducting a bibliometric review of literature derived from the Scopus database.

A bibliometric analysis was conducted on articles gathered from the Scopus database. Microsoft Excel was used to perform the frequency analysis, VOSviewer for visualising the data, and Harzing’s Publish or Perish for the metrics citation.

According to this investigation, research into FinTech has been consistently increasing since 2008. The results indicate that the most active publisher of FinTech literature is Bina Nusantara University in Indonesia. In terms of country of publication, China is identified as the most active. The most cited author is Buckley, R.P., with Rabbani, M.R., having the most publications. It was also identified that FinTech researches come under three primary domains namely business management, computer science and economics.

The primary limitation of this current study is that it only relied on one data source, i.e. Scopus. Implications wise, researchers and practitioners can gain a deeper understanding of FinTech from this study, which also describes the trend in related publications on the concept. Future studies could significantly benefit from the findings of the present paper.

The outcomes of this study can assist researchers in better comprehending and summarising the key drivers of FinTech. In addition, the findings can help new researchers identify the starting point for their research on FinTech.

As far as the authors are aware, this is the first study that reviews FinTech publications derived from Scopus from 2008 to 2022. Hence, it is a pioneering study into FinTech bibliometric analysis, providing an understanding of the structural knowledge by reviewing the timeline of academic progression in FinTech.