Agility evaluation using fuzzy logic

Does organizational agility affect organizational learning capability? Evidence from commercial banking

“…Turbulence in business environment has become the main cause of failure in the manufacturing industry (Lin et al, 2006). Surviving in this turbulence is possible if organizations are able to recognize their changing environments and respond properly to unexpected changes (Sharifi & Zhang, 2001).…”

A Fuzzy Logic-Based System for Enhancing Scrum Method

“…The rules that scrum master follows in the decision-making process can be easily expressed linguistically, so the fuzzy logic system is suitable when dealing with this kind of problem (Lin et al, 2006). The proposed system consists of three components: a fuzzy inference system, an aggregation function and a feedback function.…”

“…A scrum master needs to think about all parameters and their logical dependencies when deciding on the final value of story points for each task. Since fuzzy logic is a useful tool to deal with problems that include imprecise and vague data (Lin et al, 2006), it is ideal to be used for this purpose. The proposed fuzzy logic-based system can enhance efficiency in scrum planning phase.…”

Leanness Assessment of Manufacturing Organizations Using Fuzzy Topsis: A Case Study

“…The distance of each lean performance parameter from I ijk + and I ijk -is computed using the Equations (13) and (14).…”

“…Anand and Kodali (2009) used Analytical network process (ANP), a multi criteria decision making (MCDM) approach, for lean implementations. Zanjirchi et al, (2010) measured Fuzzy Leanness Index (FLI) using the model proposed by Lin et al, (2006). The assessment involved three enablers, 10 criteria and 48 sub-criteriathat cover the various lean perspectives of the organization.Vinodh and Chintha (2011) integrated fuzzy Quality Function Deployment (QFD) for identification of lean competitive bases, lean decision domains, lean attributes and lean enablers for the organization.…”