A fuzzy quantitative VRIO-based framework for evaluating organizational activities

Chinho Lin, Hua Ling Tsai, Ya Jung Wu, Melody Kiang

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)


Purpose: The study aims to shed light on how to identify drivers of sustainable competitive advantage under a turbulent and uncertain environment, one of the most crucial challenges faced by resource-based strategists. Design/methodology/approach: This study introduces a VRIO-based framework to evaluate a firm's internal activities, in which the fuzzy set and utilities functions are adopted to identify the competitive advantage of available resources based on resource-based theory. A case study is conducted to illustrate how the framework can be applied as a tool for exploring the potential competitiveness of a firm's core resources. Findings: The quantitative VRIO-based framework is a useful tool to assist top management to identify a list of potential competitive advantages of the available sources. Originality/value: The VRIO-based framework is built through the integration of quantitative and qualitative methods, and this innovative approach is proposed to bridge the gap between resource-based theory and its application.

Original languageEnglish
Pages (from-to)1396-1411
Number of pages16
JournalManagement Decision
Issue number8
Publication statusPublished - 2012 Aug

All Science Journal Classification (ASJC) codes

  • Business, Management and Accounting(all)
  • Management Science and Operations Research


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