The Application of Social Network Analysis: Case of Smart Roofing

Tugrul U. Daim (), Monticha Khammuang and Edwin Garces
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Tugrul U. Daim: Portland State University
Monticha Khammuang: Portland State University
Edwin Garces: Portland State University

Chapter Chapter 15 in Anticipating Future Innovation Pathways Through Large Data Analysis, 2016, pp 273-302 from Springer

Abstract: Abstract The use of social network analysis (SNA) becomes popular in social science research in the recent years. It is a practical application because it helps organizations to have better conceptualized and new understandings of the interactions. It could help organizations interpret and understand complexity, systems, pattern of changes, and structure of interactions. Moreover, SNA applications have been applied in many complicated fields to identify knowledge leaders in organizations, measure collaboration of teams, illustrate the hidden patterns of structure, and exploring the paths of interactions. In addition, many software programs were developed for personal or limited distribution by mathematicians, sociologists, graph theorists, and information technology specialists enabling SNA to facilitate the analysis of data and the creation of sociograms easier than before. Applying SNA in organizations could benefit many internal activities. It could help organizations to identify the group of experts for technology roadmapping (TRM) or R&D related activities, to know who the most appropriate expert for future collaboration may be, and to see the pattern of the interactions for future R&D planning. This chapter proposes an analysis of smart roofing using SNA to identify the group of experts, the interactions among experts, and the patterns of these interactions to help researchers to gain a better understanding of the current situation of smart roofing research and development programs and also to help them to prepare related future plans in order to promote the progress of smart roofing research and development programs.

Keywords: Social network analysis; SNA; Practical approach; The application of SNA; The use of SNA (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/978-3-319-39056-7_15

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