Title: Alignment of dimensions towards modelling organisational supply chain agility

Authors: Swagatika Mishra; Saurav Datta; Siba Sankar Mahapatra; Bikash Ranjan Debata

Addresses: Department of Mechanical Engineering, National Institute of Technology, Rourkela-769008, India ' Department of Mechanical Engineering, National Institute of Technology, Rourkela-769008, India ' Department of Mechanical Engineering, National Institute of Technology, Rourkela-769008, India ' Rourkela Institute of Management Studies, Gopabandhu Nagar, Institutional Area, Chhend Colony, Institutional Area, Rourkela, Odisha 769015, India

Abstract: In the present reporting, the concept and the application of factor analysis (FA) to achieve effective dimensions on organisational supply chain agility has been explained. FA is a statistical approach through which the number and nature of variables, which measure the test, are clarified. FA is generally performed by combining different variables together, thereby, obtaining a few variables called as an individual factor/dimension. This method determines interrelationship among analysis data and reduces total number variables into less number of factors/dimensions for simplicity. In the case study in an Indian automobile sector in order to define effective factors describing organisational supply chain agility, on the basis of conceptual model, a questionnaire has been compiled. The survey data obtained thereof, has been analysed by descriptive statistics and all variables have been categorised finally into 13 factors (dimensions) through exploratory factor analysis (EFA). This would facilitate in estimating organisational overall agility extent and various managerial decision-making.

Keywords: supply chain agility; exploratory factor analysis; EFA; agile supply chains; supply chain management; SCM; India; automotive supply chains; automobile industry; conceptual modelling; decision making.

DOI: 10.1504/IJSOM.2014.057997

International Journal of Services and Operations Management, 2014 Vol.17 No.1, pp.88 - 106

Published online: 17 Jun 2014 *

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