چکیده
مقدمه
روش ها
نتایج
بحث
نتیجه گیری
منابع
Abstract
Introduction
Methods
Results
Discussion
Conclusion
References
چکیده
در سال های گذشته، تحقیقات در زمینه تحلیل شبکه های اجتماعی (SNA) افزایش یافته است. در ابتدا حوزه تحقیق به جامعه شناسی و مردم شناسی محدود می شد اما اکنون در رشته های متعددی مورد استفاده قرار گرفته است. رشته کسب و کار و مدیریت دارای پتانسیل های زیادی در به کارگیری رویکرد SNA به دلیل داده های ارتباطی عظیم است که از کارکنان، ذینفعان گرفته تا سازمان ها را شامل می شود. هدف این مطالعه تجزیه و تحلیل روند تحقیق، عملکرد و استفاده از رویکرد SNA در تحقیقات تجاری و مدیریتی است. تجزیه و تحلیل کتاب سنجی با استفاده از 2158 داده تحقیق از پایگاه داده Scopus منتشر شده از سال 2001 تا 2020 انجام شد. سپس، کمیت و کیفیت تحقیق با استفاده از Harzing's Publish یا Perish محاسبه شد در حالی که VOSviewer موضوعات تحقیق و تجزیه و تحلیل خوشهای را تجسم کرد. این مطالعه یک الگوی روند صعودی را در تحقیقات SNA از سال 2005 پیدا کرد و در سال 2020 به اوج خود رسید. به طور کلی، شش موضوع تحت رشته مدیریت و تجارت از SNA به عنوان یک ابزار روششناسی استفاده کردهاند، از جمله مدیریت ریسک، مدیریت پروژه، مدیریت زنجیره تامین (SCM) ، گردشگری، مدیریت فناوری و نوآوری و مدیریت دانش. با بهترین دانش نویسندگان، این مطالعه اولین مطالعه ای است که عملکرد و تجزیه و تحلیل SNA را در رشته های کلی کسب و کار و مدیریت بررسی می کند. این یافته ها بینشی را در مورد استفاده عملی از SNA در تحقیقات تجاری و مدیریتی به محققان، دانشگاهیان، مشاوران و سایر ذینفعان ارائه می دهد.
توجه! این متن ترجمه ماشینی بوده و توسط مترجمین ای ترجمه، ترجمه نشده است.
Abstract
In the past years, research in Social Network Analysis (SNA) has increased. Initially, the research area was limited to sociology and anthropology but has now been used in numerous disciplines. The business and management discipline has many potentials in employing the SNA approach due to enormous relational data, ranging from employees, stakeholders to organisations. The study aims to analyse the research trend, performance, and the utilisation of the SNA approach in business and management research. Bibliometric analysis was conducted by employing 2,158 research data from the Scopus database published from 2001 to 2020. Next, the research quantity and quality were calculated using Harzing's Publish or Perish while VOSviewer visualised research topics and cluster analysis. The study found an upward trend pattern in SNA research since 2005 and reached the peak in 2020. Generally, six subjects under the business and management discipline have used SNA as a methodology tool, including risk management, project management, supply chain management (SCM), tourism, technology and innovation management, and knowledge management. To the best of the authors' knowledge, the study is the first to examine the performance and analysis of SNA in the overall business and management disciplines. The findings provide insight to researchers, academicians, consultants, and other stakeholders on the practical use of SNA in business and management research.
Introduction
The SNA is a theory investigating the relations and interactions based on anthropology, sociology, and social psychology to assess social structures (Erçetin and Neyişci, 2014). The social structure in a network theory comprises individuals or organisations named nodes linked through one or more types of interdependencies, such as friendship, kinship, financial exchange, knowledge or prestige (Parell, 2012). The actors range across different levels, from individuals, web pages, families, large organisations, and nations. Nowadays, SNA usage has grown, utilised in anthropology and sociology and several fields of science, including business and management disciplines.
However, studies on the SNA trends and applications in business and management are limited. Although published articles provide a catalogue of SNA concepts, they lack explanatory mechanisms on its application (Borgatti and Li, 2009). Thus, the study aims to assess publication performances and explore SNA usage in business and management studies using Bibliometric analysis. The bibliometric methodology has been widely used to provide quantitative analysis of written publications using statistical tools (Ellegaard and Wallin, 2015). It can help detect established and emergent topical areas, research clusters and scholars, and others (Fahimnia et al., 2015). This analysis reveals important publications and objectively depicts the linkages between and among articles about a specific research topic or field by examining how frequently they have been co-cited by other published articles (Fetscherin and Usunier, 2012).
Conclusion
After SNA was introduced in 1969 by Mitchell, many researchers from various fields were interested in studying the relationship between nodes. The most frequent disciplines that used SNA are sociology, anthropology, social psychology, and communication. Nevertheless, SNA usage in business and management discipline was limited. Hence, the study analysed the trend and performance of SNA in the business and management discipline from 2001 to 2020. The study revealed a steady upward trend of publications in this field and increased significantly since 2005. The US, the UK, and China were the most productive countries. Although the study found three Asian institutions as the most productive countries, the average c/p was lower than the European and American countries. Besides, SNA as a research tool has been published in multidisciplinary journals, ranging from Journal of Management in Engineering to Journal of Knowledge Management, depending on the subject of investigation.