Driving performance of higher education industry: an Indian scenario

Purpose - The purpose of this paper is to identify the information and communication technology management enablers (ICTMEs) and establish the hierarchical relationship among them using interpretive structural modelling (ISM) and analyse their driving and dependence power, using integrated ISM fuzzy-MICMAC analyses. Design/methodology/approach - For identifying the ICTMEs, along with extensive literature review a large number of academicians and practitioners of repute are consulted. The contextual relationships between ICTMEs are established with the help of a well-established ISM methodology and further ICTMEs are analysed on the basis of their driving and dependence power and classified them into four different clusters by using fuzzy-MICMAC. Findings - This paper has identified 25 key ICTMEs related to human resource, organization culture, technology, strategic planning, ICTM practices and organizational performance measurement and created a diagraph representing hierarchical relationship among them. Further these enablers are analysed and classified into four clusters on the basis of their driving and dependence power. Research limitations/implications - The developed relational model is based on the inputs of academicians and practitioners and any biasing from the person judging the ICTM enablers might influence the power of this model. Practical implications - Top management of the organization could formulate and execute their strategies keeping in mind these identified critical enablers and relationship among them which will finally result into higher performance of ICTM. Originality/value - This is the first kind of study which has identified 25 key enablers of ICTM, established hierarchical relationship among them and analysed them on the basis of their driving and dependence power using integrative ISM fuzzy-MICMAC analysis.