Modeling the Factors of Productivity in Airline Industry in India: A Hybrid TISM-P and Fuzzy-MICMAC Approach

Abstract

The present study explores the productivity drivers of the airline industry in India for their national and international performance. Interpretive structural modeling with polarity (TISM-P) approach is opted for exploring the interrelationships among productivity drivers of the airline industry by considering the experts’ inputs. The study identified 17 factors driving the productivity of the airline industry, and experts’ inputs had placed them in nine levels using a TISM-P approach. Fuzzy-MICMAC (Matrice d’impacts croisés multiplication appliquée á un classment) analysis further has classified these 17 factors into the following four groups: autonomous, dependent, linkage, and independent group. Also, it is observed that refining productivity issues have increased the airline industry’s export performance. The airlines’ administration can plan the short-term objectives by considering the independent factors and long-term policies by focussing on the linkage and dependent factors for improving the overall productivity and export performance.