Search results

Although knowledge based on business intelligence (BI) is crucial, few studies have explored the core of BI knowledge; this study explores this topic.

The authors collected 1,306 articles and 54,020 references from the Web of Science (WoS) database and performed co-citation analysis to explore the core knowledge of BI; 52 highly cited articles were identified. The authors also performed factor and cluster analyses to organize this core knowledge and compared the results of these analyses.

The factor analysis based on the co-citation matrix revealed seven key factors of the core knowledge of BI: big data analytics, BI benefits and success, organizational capabilities and performance, information technology (IT) acceptance and measurement, information and business analytics, social media text analytics, and the development of BI. The cluster analysis revealed six categories: IT acceptance and measurement, BI success and measurement, organizational capabilities and performance, big data-enabled business value, social media text analytics, and BI system (BIS) and analytics. These results suggest that numerous research topics related to big data are emerging.

The core knowledge of BI revealed in this study can help researchers understand BI, save time, and explore new problems. The study has three limitations that researchers should consider: the time lag of co-citation analysis, the difference between two analytical methods, and the changing nature of research over time. Researchers should consider these limitations in future studies.

This study systematically explores the extent to which scholars of business have researched and understand BI. To the best of the authors’ knowledge, this is one of the first studies to outline the core knowledge of BI and identify emerging opportunities for research in the field.

The purpose of this paper is to review and analyse the literature on psychological contract (PC) phenomena to date as well as give future research directions in this research area.

The authors have conducted a bibliometric analysis of 33 years of research on PC. The bibliometric findings have identified various perspectives by drawing the landscape and developmental trajectory of PC research over time. A specific bibliographic analysis and visualization tool VOSviewer was employed to evaluate and process 1999 publications in the Scopus and Web of Science (WoS) database from 1989 to 2022, also author citation analysis, journal co-citation analysis, reference analysis and analysis of 100 milestone articles.

The authors detected and visualized the landscape of PC area and track how this landscape has developed. Secondly, the authors present the findings emerged from this study’s bibliometric review, with emphasize on future research directions and implications.

This paper presents bibliometric analysis of more than 1,000 research articles from main databases and review of 100 most prominent papers on PC research topic. This article offers academicians and researchers a more sophisticated understanding of the intellectual and conceptual framework of the research body. The authors are providing insights about its structural body of knowledge through an overview of the current state of scholarly development in the field of PC.

The purpose of this paper is to examine the evolution of the literature on technology transfer and culture, identifying the main contents of the current body of knowledge encompassing culture and technology transfer (TT), thus contributing to a better understanding of the relationship between TT and culture based on bibliometric and multivariate statistical analyses of the relevant body of literature.

Data for this study were collected from the Web of Science (WoS) Core Collection database. Based on a bibliometric analysis and in-depth empirical review of major TT subjects, supported by multivariate statistical analyses, over 200 articles were systematically reviewed. The use of these methods decreases biases since it adds rigor to the subjective evaluation of the relevant literature base.

The exploratory analysis of the articles shows that first, culture is an important topic for TT in the literature; second, the publication data demonstrate a great dynamism regarding the different contexts in which culture is covered in the TT literature and third, in the last couple of years the interest of stimulating a TT culture in the context of universities has continuously grown.

This study focuses on culture in the context of TT and identifies the main contents of the body of knowledge in the area. Based on this first insight, obtained through more detailed bibliometric and multivariate analyses, it is now important to develop and validate a theory on TT culture, emphasizing the dimensions of organizational culture, entrepreneurial culture and a culture of openness that fosters economic and societal spillovers, and to link those dimensions to the performance of TT activities.

From the practical point of view, managers in companies and universities should be aware of the importance of identifying those dimensions of culture that contribute most to the success of their TT activities.

Despite several literature reviews on the TT topic, no studies focusing specifically on culture in the context of TT have been developed. Therefore, given the multifaceted nature of the research field, this study aims to expand and to deepen the analysis of the TT literature by focusing on culture as an important and commonly cited element influencing TT performance.

This paper aims to present a summary of the green consumer behaviour (GCB) research conducted during the 2001–2021 period using the bibliometric analysis and to carry out a thematic and content analysis on the three clusters which comprise 57 articles resulting from the co-citation analysis and identify the significant green purchasing factors.

The three-pronged methodology applied to this research analysis includes performance analysis of the literature using biblioshiny and R Studio; network mapping analysis using VOSviewer and Gephi; thematic analysis using word clouds generated with R Software and content analysis of each paper with the aid of within and between-study analyses.

Cluster one acted as a base for the theoretical foundations of GCB which aids in understanding the basic concepts of green marketing, its evolution and the methodologies, whereas cluster two determined the predictors of everyday green behaviour, which helps in gaining knowledge about the everyday sustainable activities the consumers indulge and the factors motivating to do so. Cluster three mainly focused on the psycho-socio demographic determinants of GCB, which assists in segmentation and predicting the purchase behaviour of the various consumer segments.

The significant variables and major gaps in each of the clusters were identified and authors have drawn the implications for future researchers and marketing managers.

This article examines the dominant research topics that guide the literature on women's entrepreneurship in family businesses.

The authors used performance and scientific network mapping analyses from bibliometric techniques. Performance analysis was used to identify the most influential journals, authors, countries, co-citation, multidimensional scaling (MDS), hierarchical cluster (HCA) and document analysis to identify dominant research themes.

The research results show that studies on women's entrepreneurship in family businesses are gathered in three clusters. The studies in the first cluster focused on family succession and women's roles. The themes of the succession process, gender bias, leadership and entrepreneurship in the second cluster are intense. Finally, in the third cluster, the themes of women leaders and identity construction dominate.

First, new conceptualizations of female entrepreneurship from family businesses emerge over time (example: “fementerpreneur”); accepting and using these words takes time. For this reason, the authors may have missed the newly emerged concepts in the field of family businesses in the search strategy. Second, although MDS results are widely used in bibliometric research, other forms of MDS analysis may reveal different groups and clusters. Finally, bibliometric analysis is based more on retrospective and dominant themes in the most cited articles, with a heavy emphasis on the most cited papers. Hence, new articles and contributions can be equally important.

Previous studies have not examined the subject of women's entrepreneurship in family businesses. By addressing this issue and setting the agenda for future research, the authors contribute to the literature on women's entrepreneurship in family businesses.

This paper aims to examine the origins of value co-creation (VCC) knowledge streams, vis-a-vis their progression over the past 18 years. The study explores how knowledge of this discipline emerged across the tripartite strategic paradigms of business transformation.

Co-citation analysis (CCA) and co-word analysis (CWA) are used as bibliometric techniques, for which, a group of articles is retrieved using Scopus’s usual keyword-based search. The initial collection consists of 3,431 research articles published in business and management publications. By explaining the article clusters generated through CCA and keyword connections generated through CWA, the findings outline the origins and development of VCC research. A CWA-based chronological study adds further insights to the development of VCC research themes.

The results depict that VCC research has grown multifold in the past 18 years, whereby it has shifted its attention from a dyadic interaction approach to a multistakeholder ecosystem-based approach detailing the phenomenological instances of resource integration and institutional processes. Notably, extant research in this field has grown at a much faster rate since 2008. In fact, a stronger concentration of research emerged in the experience domain, particularly in terms of hedonic services. Development of engagement platforms has been driven by research into technologies such as IoT and artificial intelligence.

The theoretical framework of the VCC paradigm is used to describe the aggregation of co-creation research around the three strategic pillars. This framework is useful for business strategy and to track VCC research over time.

This work identifies the practices and strategies of VCC at three different levels: capacity, platform and experience. The study offers insights into a variety of co-creation practices at their respective levels, incorporating micro-level dyadic interactions and macro-level processes in a service ecosystem.

This study uses different bibliometric methodologies to investigate the development of this scientific field over time. “Document co-citation” analysis, a more preferred bibliometric technique under CCA, is used to construct the cluster of theoretical cores of this area. The results are classified under the strategic framework of the co-creation paradigm (Ramaswamy and Ozcan, 2014).

This study aims to provide a holistic review of social media influencers (SMIs) research based on a unique approach of bibliometric analysis and content analysis between 2011 and 2020. The review examines the main influential aspects, themes and research streams to identify research directions for the future.

The sample selection and data collection were done from the Scopus database. The sample dataset was refined based on the inclusion and exclusion criteria to determine the final dataset of 183 articles. The dataset was exported in the BibTeX format and then imported into the BiblioShiny app for bibliometric analysis. The content analysis was done following the theory-context-methodology framework.

The several findings of this study include (1) Co-word analysis of most used keywords; (2) Longitudinal thematic evolution; (3) The focus of the research papers as per the theory-context-methodology review protocol are persuasion knowledge model, fashion and beauty industries, Instagram and content analysis, respectively; and (4) The network analysis of the research studies is known as the co-citation analysis and depicts the intellectual structure in the domain. This analysis resulted in four clusters of the research streams from the literature and two emergent themes (Chen et al., 2010)

In general, the previous reviews in the area are either domain, method or theory-based. Thus, this study aims to complement and extend the existing literature by presenting the overall picture of the SMI research with the help of a unique combined approach and further highlighting the trends and future research directions based on the findings of this study.

This study aims to conduct a bibliometric analysis on knowledge management from journals in the Scopus database between 1988 and 2021. The paper covered the past three decades of publications and carried out performance analysis and science mapping analysis of articles.

The study uses bibliometrics, performance analysis and science mapping analysis of 1,016 articles extracted from the Scopus database. The study examined the scientific productivity of articles, productive authors, citable documents, most relevant institutions, cited countries, co-occurrence of keywords, thematic mapping, co-citations and collaboration of authors and countries. The study used Biblioshiny as a tool to carry out the performance analysis and science mapping analysis.

The results show that the number of publications has significantly increased in the past decade, 88.4% of authors contribute at least a single article, 8.3% of authors published two articles, 2% of the authors published three documents and 0.6% of the authors contribute four papers. The USA, China and Australia were the most productive countries in terms of the total number of citations and foreign collaborations. Journal of Knowledge Management, Knowledge Management Research and Practice, VINE Journal of Information and Knowledge Management and International Journal of Technology Management are the top outlets in the knowledge management literature.

Over the past decade, the research on knowledge management construct has exploded because of the growing interest of researchers and practitioners in the field. Despite being a well-developed field, few studies have applied bibliometric analysis in the knowledge management literature. The study is more comprehensive in terms of the actors and methods involved in analyzing the scientific production of articles in the area of knowledge management.

This research aims to conduct a literature review of Lean Six Sigma (LSS) in the Indian context and related research publications and apply bibliometric analysis and the author's visualization to map research trends in this area.

This article conducts a bibliometric analysis of LSS-related research in the Indian context using data gathered from Scopus and Web of Science databases from 2011 to 2022. The review provides information on LSS-related research in the Indian context and evaluates performance based on primary sources, authors, keywords, countries, affiliations, and documents. The analysis employs the Biblioshiny app and Bibliometrix R-tool for data analysis and scientific mapping.

The results of the bibliometric analysis indicate that the LSS culture has widely spread in India. The International Journal of Lean Six Sigma and Production Planning and Control were found to be the most productive sources for publishing LSS-related research articles. Antony J. was identified as the most active author in this field, contributing the most over the years. Among all organizations, NITs have conducted the most comprehensive research on LSS, indicating their significant investment of resources and efforts in studying this methodology and its applications in India. Additionally, the study examined the intellectual, social, and conceptual structures to identify implicit gaps and future research opportunities.

The findings of this study can inform academicians, researchers, practitioners, and policymakers about the state-of-the-art and the specifics of the most prolific studies. This study will facilitate their exploration of emerging research areas in LSS.

To the best of the authors knowledge, this is the first bibliometric analysis of LSS in the Indian context, providing an overview of relevant publications published between 2011 and 2022. This study analyzed 194 articles on LSS in India, which can help researchers and academics identify emerging research areas, suitable collaborators, and relevant journals for future publications.

The purpose of this study is to conduct a systematic content review and bibliometric analysis of the current research trends, core concepts and knowledge mapping on the topic Islamic Banking and Finance (IBF) during Covid-19. Apart from highlighting the contributions of prolific authors, prominent institutions and countries, a comprehensive review of a significant number of documents using co-citation and co-word analysis is carried out for the science mapping.

A data set of 125 papers was collected published in Scopus database during the period December, 2019 and January 5th, 2023. Yearly publications, most-cited papers and authors, active sources, affiliations and countries are highlighted with descriptive analysis. Knowledge structure of the topic was mapped with investigating the social, intellectual and conceptual structures of IBF research. Content analysis is carried out to uncover the underlying research clusters that shape the scientific knowledge structure of studies.

A diverse group of authors and institutions contribute to the growing body of knowledge on the topic. IBF is adopting new paradigms and frameworks to integrate FinTech, crowd funding and Islamic social finance to provide sustainable solutions in both crisis and normal periods. The research on IBF is classified in to three themes: “financial markets in Covid-19,” “modeling risk and market regimes” and “FinTech and Islamic social finance.”

This study collects data only from Scopus database. Future studies must include research articles from other databases such as, Web of Sciences.

This study highlights research gaps in the existing literature and provides directions for future research.