Analyzing the impact of industry sectors on the composition of business ecosystem: A combined approach using ARM and DEMATEL. (15th June 2018)

• Record Type: Journal Article
• Authors: Aaldering, Lukas Jan; Leker, Jens; Song, Chie Hoon
• Is Part Of: Expert systems with applications. Volume 100(2018)
• Page Start: 17
• Page End: 29
• Publication Date: 2018-06-15
• Subjects: Association rule mining -- Business ecosystem -- DEMATEL -- Knowledge flow -- Social network analysis; Expert systems (Computer science) -- Periodicals; Systèmes experts (Informatique) -- Périodiques; Electronic journals; 006.33
• DOI: 10.1016/j.eswa.2018.01.045
• Languages: English
• ISSNs: 0957-4174

Abstract

Highlights: A novel approach to analyze business ecosystem is proposed. Centrality-based indicators categorize the specific roles of industry sectors. The approach complements the analysis of convergence trends at industry level. Abstract: The study proposes a new approach to analyze the impact of industry sectors on the composition of business ecosystems from an industry-wide perspective based on data on strategic alliances and joint ventures. In this study, ARM (association rule mining) is adopted as a basis to construct an inter-industry knowledge flow matrix that represents interactions among industry sectors involved in inter-firm relationships, and the DEMATEL (decision-making trial and evaluation laboratory) technique is used to determine the specific characteristics of the resulting inter-industry interactions, such as impact and cause-effect relationships. Moreover, centrality-based indicators are introduced to categorize the specific roles of industry sectors by means of social network analysis. The approach is a good complement to the patent-dominated methodological tools to analyzing interdisciplinary convergence trends and exploring the structure of overall business ecosystem. Additionally, it will help policy makers to develop effective policies for maintaining balanced resource flows across sectors and for developing sustainable ecosystem structure.