Title: Smart organisations: modelling of enablers using an integrated ISM and fuzzy-MICMAC approach

Authors: Urfi Khan; Abid Haleem

Addresses: Department of Mechanical Engineering, Faculty of Engineering and Technology, Jamia Millia Islamia, New Delhi, 110025, India ' Department of Mechanical Engineering, Faculty of Engineering and Technology, Jamia Millia Islamia, New Delhi, 110025, India

Abstract: Smart organisations are knowledge-driven, internet worked and dynamically adaptive to new organisational forms and practices, they are learning as well as agile in their ability to create and exploit the opportunities offered. In this paper, the study of an emerging organisational concept under the name 'smart organisation' has been undertaken. Enablers of smart organisation have been identified, and then an integrated model of these enablers has been developed by using interpretive structural modelling (ISM) methodology and fuzzy MICMAC. Ranking of these enablers has been obtained. The enablers of smart organisation have further been classified into four categories namely autonomous, linkage, dependent and independent according to their driver power and dependence. A FMICMAC structural model of nine level has been developed. This model may be helpful in implementing the practices of smart organisation.

Keywords: enablers; fuzzy MICMAC; FMICMAC; interpretive structural modelling; ISM; integrated models; interpretative structural modelling; smart organisations; structural modelling; intelligent enterprises.

DOI: 10.1504/IJIE.2012.052556

International Journal of Intelligent Enterprise, 2012 Vol.1 No.3/4, pp.248 - 269

Available online: 11 Mar 2013 *

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