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Social Network Theory in Project Management: A Bibliometric Analysis
Abstract
Purpose: This study employs a bibliometric analysis of project management literature from 2001 to 2022 to investigate the use of social network theory in project management. The main goal is not only to present the current state of the social network theory usage in project management but also to explore emerging trends of this new field in project management.
Methodology: Bibliometric analysis is used by focusing on related articles between the years 2001-2022 in the Web of Science database to investigate the state and evolution of social network theory in project management. Cluster analysis which is a powerful tool employed in SNA (Social Network Analysis) is utilized for the grouping of items based on similarities or distances between them.
Findings: The study revealed that although the Social Network Theory (SNT) approach in project management is gaining popularity, its implementation remains limited. The literature primarily focused on specific project types, such as construction projects, while neglecting others that involve multiple stakeholders and relationships, such as innovation, R&D, IT, space, and agricultural projects. Moreover, the study identified that SNT is predominantly used in three knowledge areas, namely, risk management, stakeholder management, and knowledge management.
Implications: Understanding the SNT approach in project management can help project managers create more effective teams, improve stakeholder engagement, foster collaboration and innovation, and mitigate project risks.
Limitations: This study is limited to Web of Science database. Future research may extend our efforts by digging into more databases.
Keywords
Kaynakça
- Anugerah, A. R., Muttaqin, P. S., Trinarningsih, W., (2022), Social network analysis in business and management research: A bibliometric analysis of the research trend and performance from 2001 to 2020, Heliyon, Vol 8, pp. 1-12.
- Barabasi, A. (2002), Linked: The New Science of Networks, Perseus Publishing.
- Benjamins, R. (2020), Towards organizational guidelines for the responsible use of AI, paper presented at the 24th European Conference on Artificial Intelligence, 29 August-8 September, Santiago de Compostela, Spain, available at https://ecai2020.eu/papers/1347_paper.pdf (accessed 20 February 2023).
- Breiger,R., (2004), The Analysis of Social Networks, Hardy, M. and Bryman, A., (Ed.), Handbook of Data Analysis, Sage Publications., pp. 505-526.
- Borgatti, S. P., Everett, M. M., Johnson, J.C., (2013), Analyzing Social Networks, SAGE Publishing.
- Borgatti, S. P. and Foster, P. (2003), The Network Paradigm in Organizational Research: A Review and Typology, Journal of Management, Vol 29 No.6, pp. 991-1013.
- Chen, C., Hu, Z., Liu, S., & Tseng, H. (2012), Emerging trends in regenerative medicine: A scientometric analysis in CiteSpace, Expert Opinion on Biological Therapy, Vol. 12, No. 5 pp. 593–608
- Chung, K., S., K., Crawford, L., (2016), The role of social networks and methodology for project stakeholder management”, Social and Behavioral Sciences, Vol 226, pp. 372-380.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Finans ve Yatırım (Diğer)
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
30 Eylül 2023
Gönderilme Tarihi
5 Mayıs 2023
Kabul Tarihi
6 Haziran 2023
Yayımlandığı Sayı
Yıl 2023 Cilt: 7 Sayı: 2