A bibliometric analysis of operations research and management science

The quantitative study of bibliographic material is referred to as bibliometric analysis. It presents a general overview of a research area where the published works can be classified based on countries, authors, publication years, keywords, and fields of research. This study aims to provide a bibliometric analysis of the research carried out in the field of device to device (D2D) communications in the past decade. The primary objective of this study is to find some of the most relevant and influential research papers in this field and define the newest trends as per the information available in the Web of Science database. During the course of this study, numerous classifications have been made based on different parameters such as the most productive and influential authors, and the most influential keywords and journals. The conclusions of this study are in line with the common wisdom, although certain deviations have been found.

PurposeThis study aims to provide a comprehensive bibliometric analysis of sports sponsorship research over the last 3 decades (1993–2024). By mapping the intellectual landscape of this field, the study seeks to identify key trends, prominent themes and the most influential authors and journals. Furthermore, the research addresses the ongoing challenge of evaluating the effectiveness of sponsorship investments, particularly in the digital age. The goal is to highlight emerging research areas.Design/methodology/approachThis study employs a bibliometric analysis using the SPAR-4-SLR protocol to systematically review the literature on sports sponsorship from 1993 to 2024. Data were sourced from the Web of Science (WoS) database, filtering results for articles written in English and excluding non-academic publications. A combination of bibliometric techniques – co-citation, co-word and co-authorship network analysis – was applied to examine intellectual structures and trends in the field. The Bibliometrix software was used for data analysis, providing a comprehensive evaluation of research productivity, collaboration patterns and emerging themes.FindingsThe bibliometric analysis reveals a significant increase in global sports sponsorship research, with a 12.69% annual growth rate from 1993 to 2024. Key themes such as corporate social responsibility (CSR), consumer behaviour and government regulation emerged as central topics. The study also highlights growing research interest in digital sponsorships, particularly within the eSports industry. Additionally, co-authorship analysis demonstrates increasing international collaboration, with 30.2% of publications involving multiple countries. The findings provide a clearer understanding of the intellectual landscape of sports sponsorship and suggest emerging research opportunities, particularly in digital marketing and advanced data analytics.Research limitations/implicationsThe analysis relies solely on the WoS database, which may have excluded relevant publications indexed in other databases such as Scopus or Google Scholar. Although WoS provides high-quality data, future research should integrate multiple databases to achieve a more comprehensive coverage of the field. Additionally, this study focuses primarily on articles published in English, potentially overlooking significant contributions from non-English sources.Originality/valueThis study provides a unique contribution by conducting the first comprehensive bibliometric analysis of sports sponsorship research over a 30-year period (1993–2024). By applying the SPAR-4-SLR protocol, it identifies emerging research areas such as the integration of big data and the role of psychophysiological methods in measuring sponsorship effectiveness. The research also highlights the increasing importance of digital sponsorship in industries like eSports. This work offers new insights into global collaboration patterns and reveals underexplored topics like the balance between global and local sponsorship strategies, thus providing valuable directions for future research and practical applications.

About Our Authors

Taenia saginata (T. saginata), is a zoonotic helminth with a global distribution that causes taeniasis in humans and cysticercosis in cattle. Currently, Taenia saginata poses health risks to humans and causes economic losses in the livestock sector. The aim of this study is to explore the definition of T. saginata in the scientific community and the evolution of studies in this field through bibliometric analysis. The Web of Science database was used to search the literature on Taenia saginata. All English research articles published in the Web of Science database between 1980 and 2024 were identified. The data were analyzed using the “Bibliometrix” package of R programming language and VOSviewer. In the research conducted with 491 studies published in 168 journals, the most influential authors, countries and institutes as well as the most frequently used keywords for T. saginata were identified. Veterinary Parasitology was identified as the most influential journal in the field with 32 articles and 1017 citations. The most productive country was England, while Japan had the highest Multiple Country Publication rate. The most influential authors were Leslie Jayne Stevenson Harrison, Akira Ito, and Pierre Dorny. The most frequently used author keywords were “Taenia saginata”, “Taenia solium”, and “Cysticercosis”. This bibliometric study presents an overview of Taenia saginata research, including advancements and research collaborations in the field. Taeniasis remains a major problem in underdeveloped countries, particularly on the African continent. Control and eradication of taeniasis outbreaks in these regions should be prioritised, and given the potential for other countries to be affected by migration, research institutions in developed countries should initiate and fund joint projects with less developed countries.

Resilience is a particularly important quality for supply chains in this turbulent environment. Resilience in the supply chain is the ability to retain, resume, and recover operations after an intense destructive incident. One of the strategic solutions for managing supply chain disruptions is to establish collaboration and strategic alliances in order to achieve competitive advantage. Therefore, given the increasing publication of articles in areas of strategic alliances and supply chain resilience, it is a good opportunity to review these articles, identify gaps in the current literature, demonstrate links between the two areas, and provide suggestions for future research. For these purposes, a bibliometric analysis has been performed on literature available on the Web of Science database. The distribution of articles based on year and country, influential journals, research areas, authors, affiliations, keywords, citations, and reference co-citation analysis are discussed. Results indicate that studies about strategic alliances, meant to increase resilience, are growing in areas such as “Management”, “Operations research”, “Management science”, and “Business”. Furthermore, the sources could be categorized into five clusters; namely “From knowledge concept to value creation”, “Internal and external relationships”, “Logistics and supply chain performance”, “Intellectual capital and strategic management”, and “Critical success factors and alliances”. This article can be useful for both practitioners and academics who explore the topic of strategic alliances and resilience in the supply chain, and also offers managers the opportunity to overcome supply chain disruptions and negative consequences of risks by becoming familiar with the key concepts of resilience. The persistence of businesses and supply chains is guaranteed through communicating with partners and even competitors in the light of alliance according to the findings of this research. Managers can pay attention to the integration of the supply chain to improve resilience and increase collaboration between suppliers and customers. Given the research results, strategic alliances can be noted in expanding organizational entrepreneurship and shaping strategic collaboration networks in light of strategic alliances.

Purpose This study outlines the key research areas, recent trends and future research directions in information communication technologies (ICTs) enabled entrepreneurship, as research activities on ICTs in entrepreneurship have gained significant momentum in recent decades, driven by technological advancements and business innovativeness. Design/methodology/approach In this paper, we used a bibliometric systematic literature review, including citation, co-citation and keyword analysis of 182 documents published from 2005 to 2024 and exported from the Scopus and Web of Science (WoS) databases. We have also utilized bibliometric coupling analysis to determine emerging themes in this area. Findings The most productive year was 2023, and the most productive journal, institute and country are the “Journal of Small Business and Enterprise Development,” “Beijing University of Posts and Telecommunications” and the UK, respectively. The “Journal of Enterprise Information Management” is the most influential journal. A future research direction is proposed based on the six emerging clusters and identified gaps. Research limitations/implications The study is based on the exclusive use of the Scopus and WoS databases, which could be expanded to other databases. Only articles were considered, excluding book chapters and conference papers. Originality/value The study is distinctive as it recognizes the intellectual structure and advancement in ICT-enabled entrepreneurship. By comprehensively reviewing the existing literature, the study proposes a novel conceptual framework to serve as a foundation for future studies, offering significant insights for academics and practitioners to navigate the evolving landscape of this area.

Contributors

Contributors

Contributors

To conduct a bibliometric analysis, several researchers retrieve publications from Scopus or/and Web of Science (WOS) databases. When these scholars consider both Scopus and WOS databases, they mostly make two bibliometric analysis: one from Scopus database and the other from WOS database. A few researchers merge the two databases to conduct a single analysis, but they do not specify how they did it. This paper aims to advance the bibliometric analysis by addressing two points. First, this research claims that making a bibliometric analysis that takes information from Scopus or/and separately from WOS cannot give a broader view of knowledge and tendencies in a field. To prove this claim, we retrieve papers from Scopus and WOS databases to make a bibliometric analysis of sales force literature that covers from 1912 to 2019. Results show that there are many disparities between WOS and merged database, and between this latter and WOS database regarding bibliometric analyses, especially among primary productive authors, the most influential papers, and keyword occurrences. Second, this research proposes a four-step procedure that merges these two databases to allow more reliable bibliometric analyses. This procedure was explicitly shown by using the bibliometric analysis of sales force literature during 1912–2019.

About the Authors

About Our Authors

The rapid advancement of technology has strengthened the relationship between health tourism and artificial intelligence (AI), making this field increasingly important from both academic and practical perspectives. In the context of health tourism, AI-supported technologies play a critical role in developing marketing strategies, enhancing patient experience and service quality, and improving operational efficiency in healthcare services. This study aims to examine academic research on AI-supported health tourism through a bibliometric analysis. Within the scope of the study, publications indexed in the Web of Science (WoS) database were analyzed in terms of annual scientific production, leading authors and countries, collaboration networks, influential journals, frequently used keywords, and emerging research trends. The findings indicate that academic publications on AI-supported health tourism have been indexed in the WoS database since 1990 and have shown a marked increase, particularly after 2019. The highest number of publications was reached in 2024, with a total of 50 studies published. In total, 207 studies were published across 177 different sources, with an average annual growth rate of 5.72%. A total of 1,037 researchers contributed to these publications, with an average of 5.22 authors per study, indicating a strong collaborative research structure. Sensors emerged as the most productive journal, while Artificial Intelligence in Medicine was among the most highly cited sources. In terms of geographical distribution, researchers from the United States produced the highest number of publications, followed by China and Italy. Keyword analysis revealed that the most frequently used terms included artificial intelligence, system, model, internet, diagnosis, and wellness. The significant increase in AI-related studies after 2019 highlights the growing prominence of artificial intelligence as a central research theme within health tourism. Overall, the findings suggest that AI-supported health tourism will continue to attract increasing academic attention and will play a pivotal role in shaping the future of the sector.

Roberto Baldacci (“ An Exact Algorithm for the Pickup and Delivery Problem with Time Windows ”) is a researcher in operations research at the Department of Electronics, Computer Science, and Systems (DEIS) of the University of Bologna, Italy. His major research interests are in the areas of transportation planning, logistics and distribution, and the solution of vehicle routing and scheduling problems over street networks. His research activities are in the theory and applications of mathematical programming including the design of new heuristic and exact methods for solving routing and location problems. Enrico Bartolini (“ An Exact Algorithm for the Pickup and Delivery Problem with Time Windows ”) holds a postdoctoral position at the University of Bologna. His research activity concerns the study and development of heuristic and exact algorithms for solving combinatorial optimization problems with applications in logistics and distribution systems, in particular network design problems and some generalizations of the vehicle routing problem. Saif Benjaafar (“ Optimal Control of an Assembly System with Multiple Stages and Multiple Demand Classes ”) is professor of industrial and systems engineering at the University of Minnesota, where he is also founding and current director of the Industrial & Systems Engineering Program, director of the Center for Supply Chain Research, and a faculty scholar with the Center for Transportation Studies. He was a Distinguished Senior Visiting Scientist at Honeywell Laboratories and a visiting professor at universities in France, Belgium, Hong Kong, China, and Singapore. His research is in the areas of supply chain management, service and manufacturing operations, and production and inventory systems, with a current focus on sustainability and environmental modeling. He serves on the editorial board of several journals including Manufacturing & Service Operations Management, Production and Operations Management, Naval Research Logistics, and IIE Transactions. He is a Fellow of the Institute of Industrial Engineers (IIE). Dimitris Bertsimas (“ Performance Analysis of Queueing Networks via Robust Optimization ”) is the Boeing Professor of Operations Research and codirector of the Operations Research Center at the Massachusetts Institute of Technology. This research is part of his work in the last decade on robust optimization for optimization and performance analysis of stochastic systems. Atul Bhandari (“ Revenue Management with Bargaining ”) is manager of the Algorithms Team at SmartOps. He supervises the design and development of enterprise inventory optimization algorithms, supervises modeling and analysis support for sales and implementation efforts, and leads educational sessions. He earned a Ph.D. in operations research from the Carnegie Mellon University Tepper School of Business. Sushil Bikhchandani (“ An Ascending Vickrey Auction for Selling Bases of a Matroid ”) is professor of decisions, operations, and technology management at the Anderson School of Management at the University of California, Los Angeles. He is interested in the economics of incentives and its application to auctions, market institutions, and social learning. J. Paul Brooks (“ Support Vector Machines with the Ramp Loss and the Hard Margin Loss ”) is an assistant professor of operations research in the Department of Statistical Sciences and Operations Research and a fellow of the Center for Study of Biological Complexity, Virginia Commonwealth University. He is currently secretary/treasurer of the INFORMS Section on Data Mining. His research interests include the design of optimization-based algorithms for data mining and their application to biomedical data. He is also interested in applications of optimization to models of cellular metabolism and network design problems. Sungyong Choi (“ A Multiproduct Risk-Averse Newsvendor with Law-Invariant Coherent Measures of Risk ”) is an instructor in the Department of Management Science and Information Systems at Rutgers University. Dr. Choi's research interests are in the area of stochastic modeling and its application in supply chain management. Milind Dawande (“ Production Planning with Patterns: A Problem from Processed Food Manufacturing ” and “ Quantifying the Impact of Layout on Productivity: An Analysis from Robotic-Cell Manufacturing ”) is professor and area coordinator of operations management at the School of Management, University of Texas at Dallas. His research interests are in discrete optimization problems in manufacturing and operations. His papers have appeared in a number of research outlets, including Operations Research, Management Science, Manufacturing & Service Operations Management, and the INFORMS Journal on Computing. Mehmet Demirci (“ Production Planning with Patterns: A Problem from Processed Food Manufacturing ”) is a supply chain sales engineer at SmartOps. He holds a Ph.D. degree in industrial engineering from the University of Pittsburgh. His research interests include inventory optimization, operations management, large-scale combinatorial optimization, and operations research applications in health care. Sven de Vries (“ An Ascending Vickrey Auction for Selling Bases of a Matroid ”) is a professor of operations research in the Department of Mathematics at the Universität Trier. His research interests include combinatorial optimization and auctions. Xiaowei Ding (“ A Top-Down Approach to Multiname Credit ”) is an associate at Morgan Stanley's Commodity Trading Group. Mohsen ElHafsi (“ Optimal Control of an Assembly System with Multiple Stages and Multiple Demand Classes ”) is a professor at the Anderson Graduate School of Management at the University of California, Riverside, where he also serves as associate dean and graduate advisor. He holds Ph.D. and M.Sc. degrees from the Industrial and Systems Engineering Department at the University of Florida and was the Honor Graduate. He received the Qualified Engineer degree, with honors, from the Ecole Nationale d'Ingénieurs de Tunis, Tunisia. His area of research includes operations and supply chain management, manufacturing and service operations, and production and inventory systems. Amr Farahat (“ A Comparison of Bertrand and Cournot Profits in Oligopolies with Differentiated Products ”) is an assistant professor at the Johnson Graduate School of Management at Cornell University. He obtained his doctoral degree in operations research from the Massachusetts Institute of Technology. His current research focuses on differentiated product pricing, inventory management, and competition. He is interested in problems at the interface of operations management, economics, and marketing. Vivek F. Farias (“ The Irrevocable Multiarmed Bandit Problem ”) is the Robert N. Noyce Career Development Assistant Professor of Management at the Sloan School of Management and the Operations Research Center at the Massachusetts Institute of Technology. His research focuses on revenue management, dynamic optimization, and the analysis of complex stochastic systems. The paper in this issue is part of the author's research in the context of dynamic optimization. David Gamarnik (“ Performance Analysis of Queueing Networks via Robust Optimization ”) is an associate professor of operations research at the Sloan School of Management of the Massachusetts Institute of Technology. His research interests include applied probability and stochastic processes, theory of random combinatorial structures and algorithms, and various applications. He currently serves as an associate editor of Annals of Applied Probability, Operations Research, Mathematics of Operations Research, and queueing systems journals. Srinagesh Gavirneni (“ Production Planning with Patterns: A Problem from Processed Food Manufacturing ”) is an assistant professor of operations management in the Johnson Graduate School of Management at Cornell University. His research interests are in the areas of supply chain management, inventory control, production scheduling, simulation, and optimization. His papers have appeared in Management Science, Manufacturing & Service Operations Management, Operations Research, European Journal of Operational Research, Operations Research Letters, IIE Transactions, and Interfaces. Previously he was an assistant professor in the Kelley School of Business at Indiana University, the chief algorithm design engineer of SmartOps, a software architect at Maxager Technology Inc., and a research scientist with Schlumberger. His undergraduate degree from IIT-Madras is in mechanical engineering, and he received an M.Sc. from Iowa State University and a Ph.D. from Carnegie Mellon University. Kay Giesecke (“ A Top-Down Approach to Multiname Credit ”) is assistant professor of management science and engineering at Stanford University. His research and teaching interests are in financial engineering. Lisa R. Goldberg (“ A Top-Down Approach to Multiname Credit ”) is executive director of analytic initiatives at MSCI Barra with responsibility for developing and prototyping financial risk and valuation models. Randolph W. Hall (“ Discounted Robust Stochastic Games and an Application to Queueing Control ”) is vice president of research, and professor of industrial and systems engineering, at the University of Southern California. After receiving a Ph.D. in civil engineering from the University of California, Berkeley, he has held research and faculty positions at General Motors, the University of California, Berkeley, and the University of Southern California, including dir

Ram Bala (“ Competitive Behavior-Based Price Discrimination for Software Upgrades ”) is an assistant professor of operations management at the Indian School of Business in Hyderabad, India. He holds a Ph.D. in management science from the UCLA Anderson School of Management. His main research areas are product line design, promotional effort allocation, global product development, and pricing and contracting strategies for services. His research cuts across disciplinary lines, particularly operations management, marketing, and information systems. Roger Calantone (“ How Peripheral Developers Contribute to Open-Source Software Development ”) is the Eli Broad Chaired University Professor of Business at Michigan State University. He received his Ph.D. from the University of Massachusetts. He has served on over 125 dissertation committees and has coauthored numerous articles in academic journals in the areas of innovation, systems and product development, and decision support systems for innovation processes and routines. Jamie Callan (“ The Halo Effect in Multicomponent Ratings and Its Implications for Recommender Systems: The Case of Yahoo! Movies ”) is a professor of computer science at Carnegie Mellon's Language Technologies Institute and School of Information Systems and Management. His research and teaching focus on text-based information retrieval, primarily search engine architectures, federated search of groups of search engines, adaptive information filtering, text mining, and information retrieval for educational applications. Paul Chwelos (“ Information Technology and Intangible Output: The Impact of IT Investment on Innovation Productivity ”) was an assistant professor of Management Information Systems at the Sauder School of Business at the University of British Columbia. He received his B.S. from the University of Victoria and a Ph.D. in management information systems from the University of British Columbia. He was an expert in information technology innovation, IT hedonic price indexes, and online commerce. His research has been published in Information Systems Research and the Economics of Innovation and New Technology. Iain Cockburn (“ Information Technology and Intangible Output: The Impact of IT Investment on Innovation Productivity ”) is a professor of strategy and innovation in the Boston University School of Management and is a research associate of National Bureau of Economic Research. He received his Ph.D. from Harvard University. His research interests include intellectual property, management of innovation, and the economics of the life sciences sector. Faiz Currim (“ Modeling Spatial and Temporal Set-Based Constraints During Conceptual Database Design ”) is with the department of Management Information Systems at the University of Arizona. Prior to working at Arizona, he was on the faculty at University of Iowa. His research interests include applications in database design and management, conceptual data modeling, data privacy and security, and XML Schema management. Wenjing Duan (“ Research Note: To Continue or Not to Continue Sharing? An Empirical Analysis of User Decision in Peer-to-Peer Sharing Networks ”) is an assistant professor of information systems at the George Washington University. She received her Ph.D. in information systems from the University of Texas at Austin. Her research interests glide the intersections between information systems, economics, and marketing. She has published in MIS Quarterly, Communications of ACM, the Journal of Retailing, and Decision Support Systems; she is also the recipient of the NET Institute Research Grant and serves as the associate editor of Decision Support Systems. George Duncan (“ The Halo Effect in Multicomponent Ratings and Its Implications for Recommender Systems: The Case of Yahoo! Movies ”) is a professor of statistics, emeritus in the Heinz College at Carnegie Mellon University. His research centers on information technology and social accountability. He chaired the panel on confidentiality and data access of the National Academy of Sciences, resulting in the book Private Lives and Public Policies: Confidentiality and Accessibility of Government Statistics. He is a fellow of the American Statistical Association, an elected member of the International Statistical Institute, and a fellow of the American Association for the Advancement of Science. David Fitoussi (“ IT Outsourcing Contracts and Performance Measurement ”) is an assistant professor at the Paul Merage School of Business, University of California, Irvine, and a faculty research associate at the Center for Research on IT and Organizations. He holds a Ph.D in management from the MIT Sloan School of Management. Lucio Fuentelsaz (“ Switching Costs, Network Effects, and Competition in the European Mobile Telecommunications Industry ”) is a professor of strategic management at the University of Zaragoza. His primary research interest focuses on understanding competitive strategy decisions and their consequences on firm performance. In recent years, he has studied topics such as firm competitive dynamics, diffusion of innovations, and mergers and acquisitions. He is currently editor of Cuadernos de Economía y Dirección de la Empresa. His research has been published in leading academic journals such as the Strategic Management Journal, Research Policy, and the Journal of Economics and Management Strategy. Nelson Granados (“ Online and Offline Demand and Price Elasticities: Evidence from the Air Travel Industry ”) is an assistant professor of information systems at the Graziadio School of Business and Management, Pepperdine University. He holds a Ph.D. in information and decision sciences, an M.S. and a Ph.D. minor in applied economics, and an MBA from the University of Minnesota. His research on information transparency was awarded Best IS Publication of the Year by senior scholars of the IS discipline and Best Publication of the Year by the Journal of the Association for Information Systems. Bin Gu (“ Research Note: The Impact of External Word-of-Mouth Sources on Retailer Sales of High-Involvement Products ”) is an assistant professor of information management at the McCombs School of Business, University of Texas at Austin. He received a Ph.D. and an M.A. in operations and information management from the Wharton School of Business, University of Pennsylvania. His research interests are in user-generated contents, online social networks, virtual communities, e-commerce, and IT business value. He is a recipient of 2008 Information Systems Research Best Published Paper Award. Alok Gupta (“ Online and Offline Demand and Price Elasticities: Evidence from the Air Travel Industry ”) holds the Curtis L. Carlson Schoolwide Chair in Information Management at the Carlson School of Management, University of Minnesota. He received his Ph.D. in management science and information systems from the University of Texas at Austin. He has published over 40 articles in the top management science, operations research, economics, and IS journals, and he received the prestigious National Science Foundation CAREER Award in 2001 for his research on online auctions. He serves on the editorial boards of Management Science, Information Systems Research, the Journal of Management Information Systems, and Decision Support Systems. Vijay Gurbaxani (“ IT Outsourcing Contracts and Performance Measurement ”) is the Taco Bell Endowed Professor and director of the Center for Research on IT and Organizations at the Paul Merage School of Business, University of California, Irvine. He received a master's degree in mathematics and computer science from the Indian Institute of Technology, Bombay, and a Ph.D. in business administration from the University of Rochester. His research has appeared in Information Systems Research, Management Science, MIS Quarterly, and Communications of the ACM. Yun Huang (“ Research Note: To Continue or Not to Continue Sharing? An Empirical Analysis of User Decision in Peer-to-Peer Sharing Networks ”) is a research associate in the Department of Industrial Engineering and Management Sciences at Northwestern University. He received his Ph.D. in management science and information systems from the University of Texas at Austin. His research focuses on social network analysis, individual behavior in e-commerce applications, and recommender systems. His work has appeared in the Communications of the ACM, New Media & Society, ACM Transactions on Internet Technology, and ACM/IEEE proceedings. Sora Kang (“ Research Note: A Multilevel Analysis of the Effect of Group Appropriation on Collaborative Technologies Use and Performance ”) is currently an assistant professor for the Division of Digital Business, Hoseo University. She has a Ph.D. from the Ewha Womans University in management information systems. Her research interests include adoption and performance of IT, organizational politics and knowledge management, and organizational impact of information technology. Her papers have appeared in the Journal of Computer Information Systems, the International Journal of Business Studies, Information: An International Interdisciplinary Journal, and the Business Management Review. Karthik N. Kannan (“ Effects of Information Revelation Policies Under Cost Uncertainty ”) is an assistant professor of management at Purdue University's Krannert School of Management. He earned his Ph.D. in information systems, M. Phil. in public policy and management, and M.S. in electrical and computer engineering, all from Carnegie Mellon University. His current research focuses on markets and pricing of information goods/servic