Welcome to Francis Academic Press

Academic Journal of Business & Management, 2020, 2(5); doi: 10.25236/AJBM.2020.020508.

An Extensional Micmac Method to Identify the Key Factors

Author(s)

Jihkuang Chen

Corresponding Author:
Jihkuang Chen
Affiliation(s)

Economics & Management College, Zhaoqing University, Zhaoqing City, Guangdong Province, 526061, China

Abstract

The impact matrix cross reference multiplication applied to classification (MICMAC) method can be used to isolate key factors from complex factor sets. Recently, scholars have begun combined fuzzy theory with MICMAC operations to establish the fuzzy MICMAC (FMICMAC) for enhanced evaluation accuracy. A novel fuzzy integration method was developed in the present study to readily integrate expert opinions for combination with the MICMAC.However, traditional MICMAC methods do not account for the dual aspects (e.g., satisfaction/ dissatisfaction, interests/risks) of certain factors. Hence, This study proposed fuzzy integration method and dual-aspect MICMAC process to resolve this shortcoming, then applied to identify the key factors.

Keywords

Impact matrix cross reference multiplication applied to classification, Micmac, Fmicmac, Dual-aspect micmac

Cite This Paper

Jihkuang Chen. An Extensional Micmac Method to Identify the Key Factors. Academic Journal of Business & Management (2020) Vol. 2, Issue 5: 75-81. https://doi.org/10.25236/AJBM.2020.020508.

References

[1] J.C. Duperrin and M. Godet (1973). Méthode de hiérarchisation des éléments d'un système. Rapport économique du CEA, R-45-41, Paris.
[2] R. Dubey and T.A. Singh (2015). Understanding complex relationship among JIT, Lean behavior, TQM and their antecedents using interpretive structural modeling and Fuzzy MICMAC analysis. The TQM Journal, vol.27, no.1, p.42-62.
[3] R.D. Raut, B. Narkhede and B.B. Gardas (2017). To identify the critical success factors of sustainable supply chain management practices in the context of oil and gas industries: ISM approach. Renewable and Sustainable Energy Reviews, vol.68, p.33-47.
[4] W.W. Wu, L.W. Lan and Y.T. Lee (2011). Exploring decisive factors affecting an organization’s SaaS adoption: A case study. International Journal of Information Management, vol.31, p.556-563.
[5] L. Chine, T. Djeddi and A. Haidouchi (2017). Foreign direct investment as an instrument to promote entrepreneurship in Algeria: structural analysis using MICMAC Method. Journal of Business & Management Sciences, vol.5, no.4, p. 120-124.
[6] R. Attri and S. Grover (2017). Modeling the quality enabled factors in initiation stage of production system life cycle. Benchmarking: an International Journal, vol.24, no.1, p.163-183.
[7] M. Singh, P. Kumar and R. Rathi (2019). Modeling the barriers of Lean Six Sigma for Indian micro-small medium enterprises: an ISM and MICMAC approach, The TQM Journal, vol. 31, no.5, p.673-695.
[8] A.A. Barati, H. Azadi, M.D. Pour, P. Lebailly and M. Qafori (2019), Determining Key Agricultural Strategic Factors Using AHP-MICMAC. Sustainability,vol.11, no.14, 3947; doi: 10.3390/su11143947.