A process framework for big data research: social network analysis using design science

Denis Dennehy, Samrat Gupta and John Oredo

Chapter 14 in Handbook of Big Data Research Methods, 2023, pp 214-232 from Edward Elgar Publishing

Abstract: Managing and harnessing big data is increasingly being reported as an approach to generate business value, optimize decision-making, and achieve competitive advantage. There is strong evidence that research on big data has gained significant attention from both the academic community and analytics community. To date, research has largely focused on the technical aspects of big data and its applications in specific contexts, but with limited attention given to the underlying process. Yet, it is well accepted that understanding the processes required to leverage big data is a critical factor to realize the claimed benefits of big data. We address this knowledge deficit by designing a process framework to guide novice users to effectively apply social network analysis and improve the outputs of big data research projects. The framework is the artifact that emerged after applying the principles of design science research. The artifact was validated by a social network analysis of credit networks in India.

Keywords: Business and Management; Economics and Finance; Innovations and Technology; Research Methods (search for similar items in EconPapers)
Date: 2023
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