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In recent years, academics have focused increasingly on social network connections across different organisations. Social networking for businesses is a topic that crosses many disciplines, including social sciences, computer science, engineering, management, education, sociology, and psychology, so it's no surprise that definitions, methods, and approaches to social networks are constantly debated. Based on a data set of 3466 publications from the Scopus database, the goal of this study is to map the previous literature on social network ties of organisations to the business and management area. The data set was taken from the Scopus database to investigate the main authors, the number of publications, the most influential journals, the most used keywords and the top productive institutions and countries. The goal of this study is to map the previous literature on the social network ties of organisations to the business and management area. The most influential publications, authors, journals, and keywords are thus identified using four methods of bibliographic analysis, as follows: bibliographic coupling, analysis of co-occurrence of authors' keywords, and analysis of co-authorship (a) countries and (b) authors. According to the study’s findings, the USA is the most prolific country, having over 900 publications in the past five years, followed by China and the UK. The publication trend has increased over the last 5 years in the business and management field and will keep increasing because of the growing interest of researchers and practitioners in the given field. Knowledge-based systems are found to be the top productive journal and Hong Kong Polytechnic University is the most influential institution with the highest number of publications.
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Ali Al-Atwi, A. (2020). The effect of social network ties on performance: a moderated mediation model. International Journal of Productivity and Performance Management, 69(9), 2139–2159. https://doi.org/10.1108/IJPPM-01-2019-0038 DOI: https://doi.org/10.1108/IJPPM-01-2019-0038
Baas, J., Schotten, M., Plume, A., Côté, G., & Karimi, R. (2020). Scopus as a curated, high-quality bibliometric data source for academic research in quantitative science studies. Quantitative Science Studies, 1(1), 377–386. https://doi.org/10.1162/qss_a_00019 DOI: https://doi.org/10.1162/qss_a_00019
Bai, W., Johanson, M., Oliveira, L., & Ratajczak-Mrozek, M. (2021). The role of business and social networks in the effectual internationalization: Insights from emerging market SMEs. Journal of Business Research, 129, 96–109. https://doi.org/10.1016/j.jbusres.2021.02.042 DOI: https://doi.org/10.1016/j.jbusres.2021.02.042
Brass, D. J., Galaskiewicz, J., Greve, H. R., & Tsai, W. (2004). Taking stock of networks and organizations: A multilevel perspective. In Academy of Management Journal (Vol. 47, Issue 6, pp. 795–817). https://doi.org/10.2307/20159624 DOI: https://doi.org/10.5465/20159624
Callon, M., Courtial, J. P., Turner, W. A., & Bauin, S. (1983). From translations to problematic networks: An introduction to co-word analysis. Social Science Information, 22(2), 191–235. https://doi.org/10.1177/053901883022002003 DOI: https://doi.org/10.1177/053901883022002003
Cengiz, A. A. (2006). Literature review: The paradox of social network ties in creating knowledge. Proceedings of the International Conference on Electronic Business (ICEB).
Chesbrough, H. (2006). Open Innovation: a New Paradigm for Understanding Industrial Innovation. In Open Innovation: Researching a New Paradigm (pp. 1–12).
Cho, H., Gay, G., Davidson, B., & Ingraffea, A. (2007). Social networks, communication styles, and learning performance in a CSCL community. Computers and Education, 49(2), 309–329. https://doi.org/10.1016/j.compedu.2005.07.003 DOI: https://doi.org/10.1016/j.compedu.2005.07.003
Dagnino, G. B., Levanti, G., Minà, A., & Picone, P. M. (2015). Interorganizational network and innovation: A bibliometric study and proposed research agenda. Journal of Business and Industrial Marketing, 30(3–4), 354–377. https://doi.org/10.1108/JBIM-02-2013-0032 DOI: https://doi.org/10.1108/JBIM-02-2013-0032
De Bakker, F. G. A., Groenewegen, P., & Den Hond, F. (2005). A bibliometric analysis of 30 years of research and theory on corporate social responsibility and corporate social performance. Business and Society, 44(3), 283–317. https://doi.org/10.1177/0007650305278086 DOI: https://doi.org/10.1177/0007650305278086
Dong, Y., Zha, Q., Zhang, H., Kou, G., Fujita, H., Chiclana, F., & Herrera-Viedma, E. (2018). Consensus reaching in social network group decision making: Research paradigms and challenges. Knowledge-Based Systems, 162, 3–13. https://doi.org/10.1016/j.knosys.2018.06.036 DOI: https://doi.org/10.1016/j.knosys.2018.06.036
Ferreira, F. A. F. (2018). Mapping the field of arts-based management: Bibliographic coupling and co-citation analyses. Journal of Business Research, 85, 348–357. https://doi.org/10.1016/j.jbusres.2017.03.026 DOI: https://doi.org/10.1016/j.jbusres.2017.03.026
Granovetter, M. (1985). Economic Action and Social Structure: The Problem of Embeddedness. American Journal of Sociology, 91(3), 481–510. https://doi.org/10.1086/228311 DOI: https://doi.org/10.1086/228311
Grant, R. M. (1996). Toward a knowledge-based theory of the firm. Strategic Management Journal, 17(SUPPL. WINTER), 109–122. https://doi.org/10.1002/smj.4250171110 DOI: https://doi.org/10.1002/smj.4250171110
Ibarra, H. (1993). Personal Networks of Women and Minorities in Management: A Conceptual Framework. Academy of Management Review, 18(1), 56–87. https://doi.org/10.5465/amr.1993.3997507 DOI: https://doi.org/10.5465/amr.1993.3997507
Iurkov, V., & Benito, G. R. G. (2018). Domestic alliance networks and regional strategies of MNEs: A structural embeddedness perspective. Journal of International Business Studies, 49(8), 1033–1059. https://doi.org/10.1057/s41267-017-0089-5 DOI: https://doi.org/10.1057/s41267-017-0089-5
Jack, S., Dodd, S. D., & Anderson, A. R. (2008). Change and the development of entrepreneurial networks over time: A processual perspective. Entrepreneurship and Regional Development, 20(2), 125–159. https://doi.org/10.1080/08985620701645027 DOI: https://doi.org/10.1080/08985620701645027
Koseoglu, M. A., Rahimi, R., Okumus, F., & Liu, J. (2016). Bibliometric studies in tourism. Annals of Tourism Research, 61, 180–198. https://doi.org/10.1016/j.annals.2016.10.006 DOI: https://doi.org/10.1016/j.annals.2016.10.006
Marineau, J. E., Labianca, G. J., & Kane, G. C. (2016). Direct and indirect negative ties and individual performance. Social Networks, 44, 238–252. https://doi.org/10.1016/j.socnet.2015.09.003 DOI: https://doi.org/10.1016/j.socnet.2015.09.003
Öberg, C. (2019). The role of business networks for innovation. Journal of Innovation and Knowledge, 4(2), 124–128. https://doi.org/10.1016/j.jik.2017.10.001 DOI: https://doi.org/10.1016/j.jik.2017.10.001
Polzin, F., Toxopeus, H., & Stam, E. (2018). The wisdom of the crowd in funding: information heterogeneity and social networks of crowdfunders. Small Business Economics, 50(2), 251–273. https://doi.org/10.1007/s11187-016-9829-3 DOI: https://doi.org/10.1007/s11187-016-9829-3
Salam, S., & Senin, A. A. (2022). A Bibliometric Study on Innovative Behavior Literature (1961–2019). SAGE Open, 12(3). https://doi.org/10.1177/21582440221109589 DOI: https://doi.org/10.1177/21582440221109589
Sikandar, HumaAbbas, A. F., Khan, N., & Qureshi, M. I. (2022). Digital Technologies in Healthcare: A Systematic Review and Bibliometric Analysis. International Journal of Online and Biomedical Engineering, 18(8), 34–48. https://doi.org/10.3991/ijoe.v18i08.31961 DOI: https://doi.org/10.3991/ijoe.v18i08.31961
Sikandar, H., & Abdul Kohar, U. H. (2022). A systematic literature review of open innovation in small and medium enterprises in the past decade. In Foresight. https://doi.org/10.1108/FS-01-2021-0030 DOI: https://doi.org/10.1108/FS-01-2021-0030
Sikandar, H., Vaicondam, Y., Parveen, S., Khan, N., & Qureshi, M. I. (2021). Bibliometric Analysis of Telemedicine and E-Health Literature. International Journal of Online and Biomedical Engineering. https://doi.org/10.3991/ijoe.v17i12.25483 DOI: https://doi.org/10.3991/ijoe.v17i12.25483
Silveira, F. F., & Zilber, S. N. (2017). Is social innovation about innovation? A bibliometric study identifying the main authors, citations and co-citations over 20 years. International Journal of Entrepreneurship and Innovation Management, 21(6), 459–484. https://doi.org/10.1504/ijeim.2017.086936 DOI: https://doi.org/10.1504/IJEIM.2017.10007107
Skute, I., Zalewska-Kurek, K., Hatak, I., & de Weerd-Nederhof, P. (2019). Mapping the field: a bibliometric analysis of the literature on university–industry collaborations. Journal of Technology Transfer, 44(3), 916–947. https://doi.org/10.1007/s10961-017-9637-1 DOI: https://doi.org/10.1007/s10961-017-9637-1
Su, Y. S., Lin, C. L., Chen, S. Y., & Lai, C. F. (2020). Bibliometric study of social network analysis literature. Library Hi Tech, 38(2), 420–433. https://doi.org/10.1108/LHT-01-2019-0028 DOI: https://doi.org/10.1108/LHT-01-2019-0028
Tang, K. Y., Hsiao, C. H., & Su, Y. S. (2019). Networking for educational innovations: A bibliometric survey of international publication patterns. Sustainability (Switzerland), 11(17). https://doi.org/10.3390/su11174608 DOI: https://doi.org/10.3390/su11174608
Toigo, T. (2017). I Nnovation and Networks in Sme’S: a Bibliometric Study. International Journal of Innovation (IJI Journal), 5(1), 46. https://doi.org/10.5585/iji.v5i1.126 DOI: https://doi.org/10.5585/iji.v5i1.126
Vaicondam, Y., Sikandar, H., Irum, S., Khan, N., & Qureshi, M. I. (2022). Research Landscape of Digital Learning Over the Past 20 Years: A Bibliometric and Visualisation Analysis. International Journal of Online and Biomedical Engineering, 18(8), 4–22. https://doi.org/10.3991/IJOE.V18I08.31963 DOI: https://doi.org/10.3991/ijoe.v18i08.31963
van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. https://doi.org/10.1007/s11192-009-0146-3 DOI: https://doi.org/10.1007/s11192-009-0146-3
Welsh, D. H. B., Kaciak, E., Koładkiewicz, I., Memili, E., Iyer, L. S., & Ramadani, V. (2021). The impact of networks on value co-creation for women-owned businesses. European Journal of International Management, 16(3), 473–498. https://doi.org/10.1504/EJIM.2021.117521 DOI: https://doi.org/10.1504/EJIM.2021.117521
Zhu, Wenjia, & Guan, J. (2013). A bibliometric study of service innovation research: Based on complex network analysis. Scientometrics, 94(3), 1195–1216. https://doi.org/10.1007/s11192-012-0888-1 DOI: https://doi.org/10.1007/s11192-012-0888-1
Zhu, Wenwen, & Wang, Z. (2018). The collaborative networks and thematic trends of research on purchasing and supply management for environmental sustainability: A bibliometric review. In Sustainability (Switzerland) (Vol. 10, Issue 5). https://doi.org/10.3390/su10051510 DOI: https://doi.org/10.3390/su10051510