Elsevier

Journal of Business Research

Volume 136, November 2021, Pages 543-557
Journal of Business Research

Service networks for sustainable business: A dynamic evolution analysis over half a century

https://doi.org/10.1016/j.jbusres.2021.07.062Get rights and content

Highlights

  • Presenting a holistic assessment of service networks for sustainable business.

  • “Internationalization and web service” is the biggest research topic.

  • Collaborative innovation emerges as the core strength of business networks.

  • Multiple directions in service networks and virtual networks are identified.

  • Sustainable business represents the general trend of the times.

Abstract

Scientific research on service networks for sustainable business (SN-SB) and its impact on business and economics has been growing in recent years. The first document was published in 1968, and the SN-SB research has lasted over half a century. This paper offers a comprehensive bibliometric analysis of the academic literature published between 1968 and 2019 with regards to the SN-SB research in 2,366 publications from Web of Science. By applying different bibliometric analyses, such as performance analysis, cooperation analysis, co-occurrence analysis, burst detection analysis, and timeline view analysis, we have presented the fundamental characteristics of these publications, and identified the most influential countries/regions, institutions, and authors, as well as the evolution of the keywords these years. More discussions including popular issues in current study, challenges and avenues for future research, implications, and limitations are conducted to address the existing gaps in knowledge. This paper helps in understanding the evolution of the SN-SB research from the perspective of the bibliometric and inspires researchers to think from multiple aspects in this field.

Introduction

Service networks for sustainable business (SN-SB) research in the big data era have received more attention in the development of advanced theories and new technologies for adaptation to a dynamic and turbulent business environment (Caputo et al., 2021). At present, the research trend has been spurred by the introduction of new innovations and situations, although service networks are not a new phenomenon. Owing to the state of global enterprises and complex service networks, it is necessary for firms to build the best possible value chain and overcome many challenges and barriers through effective innovation, new customer value creation, business model development, an agile workforce, talent recruitment, customer relationship management, and social networks (Childs and Jin, 2015, Kliestik et al., 2020). On the one hand, the lack of service networks for sustainable business has been one of the great hindrances, because traditional service models may be unsustainable and unprofitable, and mobile money service is an example (David-West, Iheanachor, & Umukoro, 2020). On the other hand, advanced service networks facilitate decision-making and extraction of actionable insights and knowledge from large datasets in the big data environment (Saura, 2021). For example, digitalization is a reality for business and contributes to value creation, and improving service networks, updating social networks, using social networks for corporate purposes, having a high level of training in digital tools, can enhance company performance (Ribeiro-Navarrete et al., 2021). The internet of everything may alter service networks, business models and the ways in which individuals and organizations create value (Langley et al., 2021). Therefore, it has been gradually presented that business networks found in firms have played a vital role in building flexible, resilient, and sustainable organizations in recent years. How SN-SB research develops and what characteristics they present are problems explored in this study. Little attention has been paid to managing sustainable innovations in the current knowledge-intensive context. Thus, there is a compelling need for more research on service networks for sustainable businesses, and studying the evolution of the SN-SB research could help in understanding the development and popular issues in the relevant fields.

To comprehensively consider the present study on SN-SB research, a bibliometric analysis is one of the suitable approaches to show the topics and research directions visually because it can reveal the evolution with the extensive intersection and combination of philology, information science, mathematics, and statistics (He et al., 2017). Bibliometry is a mature and effective way to present the evolution and relationships of items of a subject or a journal by analyzing the relevant literature (Shang et al., 2015). Because of these advantages and characteristics, bibliometrics has rapidly developed and has been widely applied in many fields and journals. Recent studies have used a bibliometric analysis on various subjects, including digitalization and business models (Caputo et al., 2021), the intellectual structure of consumer complaining behavior research (Arora & Chakraborty, 2021), mapping inclusive innovation (Mortazavi et al., 2021), group decision-making (Wang et al., 2021, Wang et al., 2021), and comparative advertising research (del Barrio-Garcia, Munoz-Leiva, & Golden, 2020). On the other hand, several journals have also used this approach to explore the development and features, such as Technological and Economic Development of Economy (Yu, Xu, & Saparauskas, 2019), Economic Research-Ekonomska Istraživanja (Wang, Xu, & Skare, 2020), Accounting and Finance (Linnenluecke, Marrone, & Singh, 2020), and International Journal of Systems Science (Wang et al., 2021, Wang et al., 2021).

The purpose of this article is to explore and provide an informative overview of the existing publications through a bibliometric analysis of SN-SB research, which is a rapidly developing field with progress made within society. This study sets out the following objectives by employing corresponding methods: (1) To reveal the development tendency and distribution of publications in SN-SB research, a performance analysis consisting of a set of accepted bibliometric indicators is conducted. For example, annual indicators, such as the number of publications, number of citations, average number of citations, and H-index, are used to show the development trend, influential years, and publications in terms of different aspects. The most influential publications and distributions, such as categories, types, and countries, are also presented through a performance analysis. (2) To identify the relationships between different items (country/region and institution), and to outline the different keywords perspectives in the SN-SB research that eventually shape invisible clusters, we conducted network and keyword analyses. Specifically, a co-authorship analysis was conducted to show the relationships among the countries/regions and institutions found in the related publications. A co-occurrence analysis, bust detection analysis, and timeline view analysis were conducted to reveal the keywords and features from multiple perspectives. (3) To assess the main characteristics and science mapping of SN-SB research, the highly cited sources/countries/regions/institutions of publications are presented through a citation analysis. In addition, three software programs, VoS Viewer (Van Eck & Waltman, 2010), CiteSpace (Chen, 2006) and Bibliometrix (Aria & Cuccurullo, 2017) are used to conduct science mapping analysis related to SN-SB research, which have a visual and high-quality effect on bibliometric studies when considering their evolution and cooperation, such as a dual-map overlay and collaboration network.

In this article, the contributions to the SN-SB research are shown in at least four ways: (1) We present a holistic assessment of the literature related to SN-SB research during the last half century and delineate the fundamental statistical features from the perspectives of annual indicators, categories and types of publications, and highly cited publications. (2) With the identification of the influential countries/regions, institutions, and authors within SN-SB research, we present intertwining networks used to map the connections. (3) We highlight the keyword perspective of SN-SB research, which is relatively important for recognition in the extant literature. Further, we identify the main topics and emerging themes and show the keyword tendencies in different clusters from the past, present, and future. (4) SN-SB research is at a crossroads, and is facing the challenges of maturity. We present an objective view of this field and discuss the perspectives of popular issues, challenges, and avenues for future research, implications, and limitations. The bibliometric review at this stage can rekindle interest in the domain and inspire scholars in this area to think creatively.

The remainder of this paper is organized into four sections. We first discuss the methodology employed in this study, including the data sources, search protocols, and bibliometric methods. Subsequently, we detail the performance analysis; an analysis of the countries/regions, institutions, and authors; and a keyword analysis conducted in this study and present the results. We then discuss the four-pronged interpretation of our substantive findings, its popular issues in the current study, challenges and avenues for future research, implications, and limitations of our approach. Finally, we provide some concluding remarks regarding this research.

Section snippets

Methodology

This study aims to provide a comprehensive bibliometric analysis of SN-SB. In response to this issue, we first retrieve relevant publications based on a database that followed the systematic search protocol (Tranfield, Denyer, & Smart, 2003). To describe the fundamental characteristics of the retrieved publications, we used several statistical indicators to evaluate the development of the tendency. Subsequently, we reveal the knowledge structure of these publications, consistent with

Results

A comprehensive bibliometric analysis of publications is conducted with respect to the service networks for SN-SB research regarding the evolution of the scientific field. Using the data and bibliometric methods described in Section 2, the results of this analysis, as well as those of a cooperation network analysis and a keyword analysis, are provided to present the development and characteristics in terms of the past, present, and future of the SN-SB field.

Discussion

In this section, we further discuss the SN-SB research based on the results of the above-mentioned analysis from four aspects: popular issues in the current study, challenges and avenues for future research, implications, and limitations.

Implications and limitations

SN-SB research is an integrative direction of significant managerial importance, referring to empirical research and theoretical methods, and there are some factors affecting SN-SB in various fields. For example, the time-expanded network reduction problem is an important factor for a logistics service network because planning cost-effective logistics operations involves the integration of multiple decision-making levels, and realistic instances are too large for on-the-shelf optimization

Conclusions

The insights and contributions provided in this paper pertain to revealing the fundamental characteristics, knowledge structure, and hot-keyword tendency of documents with regard to service networks for sustainable business (SN-SB) by conducting a bibliometric analysis from different perspectives. Such analyses can integrate the results of the past, present, and future of SN-SB research. The main findings are listed as follows: (1) Evidence from a performance analysis shows that, not only has

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

Funding

The work was supported by the National Natural Science Foundation of China (Nos. 71571123, and 71771155), and the Fundamental Research Funds for the Central Universities (No. YJ202063).

Author contributions

Xinxin Wang, Zeshui Xu,*, Yong Qin, Marinko Skare conceived the study and were responsible for the data collection, design and development of the data analysis as well as for data interpretation. Xinxin Wang, Zeshui Xu, Yong Qin wrote the first draft of the article.

Xinxin Wang is an associate research fellow in Business School, Sichuan University. She received the Ph.D degree in Management Science and Engineering at Sichuan University, Sichuan, China. Her research interests include decision analysis, optimization, computing with words. She has published more than 20 papers, and her research works has been published in IEEE Transaction on Fuzzy Systems, Information Sciences and Knowledge-Based Systems, Applied Intelligence and International Journal of

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    Xinxin Wang is an associate research fellow in Business School, Sichuan University. She received the Ph.D degree in Management Science and Engineering at Sichuan University, Sichuan, China. Her research interests include decision analysis, optimization, computing with words. She has published more than 20 papers, and her research works has been published in IEEE Transaction on Fuzzy Systems, Information Sciences and Knowledge-Based Systems, Applied Intelligence and International Journal of Fuzzy Systems, etc. She has received numerous honors and awards, including the First Prize in National Post-Graduate Mathematical Contest in Modeling in 2015 and 2016, the 2015 and 2016 National scholarship for graduate students, 2017 Presidential Scholarship at Southwest Petroleum University, etc.

    Zeshui Xu received the Ph.D. degree in management science and engineering from Southeast University, Nanjing, China, in 2003. From October 2005 to December 2007, he was a Postdoctoral Researcher with School of Economics and Management, Tsinghua University, Beijing, China. He was a Distinguished Young Scholar of the National Natural Science Foundation of China and the Chang Jiang Scholar of the Ministry of Education of China. He is currently a Professor with the Business School, Sichuan University, Chengdu. He has been elected as Academician of IASCYS (International academy for systems and cybernetic sciences), Fellow of IEEE (Institute of Electrical and Electronics Engineers), Fellow of IFSA (International Fuzzy Systems Association), Fellow of RSA (Royal Society of Arts), Fellow of IET (Institution of Engineering and Technology), Fellow of BCS (British Computer Society), Fellow of VEBLEO, Fellow of IAAM (International Association of Advanced Materials), and ranked 431th among World’s Top 100,000 Scientists in 2019. He has contributed more than 600 SCI/SSCI articles to professional journals, and is among the world’s top 1% most highly cited researchers with about 64,000 citations, his h-index is 126. He is currently the Co-Editor of conomic Research-Ekonomska Istraživanja; the Associate Editor-in-Chief of Applied Intelligence, the Senior Editor of IEEE Access, and the Associate Editors of IEEE Transactions on Cybernetics, IEEE Transactions on Fuzzy Systems, Information Sciences, Artificial Intelligence Review, Fuzzy Optimization and Decision Making, Journal of the Operational Research Society, etc. His current research interests include decision making, information fusion, data analysis, fuzzy systems and applications.

    Yong Qin is currently working toward the Ph.D. degree in Business School, Sichuan University, China. His research interests include decision making, optimization, information fusion and bibliometrics. His research works have been published in International Entrepreneurship and Management Journal, Technological and Economic Development of Economy, Economic Research-Ekonomska Istrazivanja, Journal of Cleaner Production, International Journal of Fuzzy Systems, Symmetry, etc.

    Marinko Škare, PhD, is Professor of Economics, Economic Research Journal Editor in Chief, Vice Rector for Research and Art, Member of Editorial Board of several international journals, Department Economics and Tourism “Dr. Mijo Mirković” in Pula, Juraj Dobrila University of Pula. He served as Assistant Dean for Education, Faculty of Economics &Tourism, Pula, Assistant Dean for International Cooperation, Faculty of Economics & Tourism, Pula, Main and Team Researcher on several scientific projects, Former Dean of the Faculty of Economics & Tourism, Pula and Former Vice President for International Cooperation, Juraj Dobrila University of Pula. He has published several books and many scientific papers about economic growth, welfare economics and poverty, human capital economics in transition, economic philosophy and monetary economics.

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