Start-Up Leagility Assessment Using Multi-grade Fuzzy and Importance Performance Analysis

Abstract

The objective of this research is to present a study that has been performed for assessing leagility of start-ups applying multi-grade fuzzy (MGF) approach and categorize the attributes using importance performance analysis (IPA). Leagility refers to the combination of lean and agile paradigms. In this paper, a model for assessing leagility was developed using multi-grade fuzzy approach. The developed framework model has been assessed by using the data collected from a case start-up to obtain its leagility index. The study reported that start-up is leagile, and still, there exist scopes for advancement. The weaker attributes which need attention to improve the total performance of the start-up were explored through the IPA model. The framework proposed in this study may help the upcoming start-ups to assess their leagility index and put attention on weaker attributes to enhance their leagility level.