Title: To measure the business performance through cloud computing adoption in Indian scenario: structural equation modelling

Authors: Pragati Priyadarshinee; Manoj Kumar Jha; Rakesh D. Raut; Manoj G. Kharat

Addresses: National Institute of Industrial Engineering (NITIE), Room No. 342, Hostel No-3, Vihar Lake, Mumbai-400087, India ' Marketing Management, National Institute of Industrial Engineering (NITIE), Mumbai - 87, India ' Operations and Supply Chain Management, National Institute of Industrial Engineering (NITIE), Room No. 211, Administration Building, 2nd Floor, Vihar Lake, Mumbai - 87, India ' National Institute of Industrial Engineering (NITIE), Room No. 622, Hostel No. 5, Vihar Lake, Mumbai-400087, India

Abstract: The purpose of this research article is to measure the business performance through cloud computing adoption in Indian industries. Data collection was done through a questionnaire-based survey that was completed by 660 managers from Indian industries. The derived hypotheses were tested using structural equation modelling. The results show that six out of eight hypotheses were supported for cloud computing adoption to measure business performance. The research model has been tested empirically through three phases: exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modelling (SEM). The findings are: 1) trust is having a major impact on cloud computing adoption followed by perceived IT security risk, technology innovation, risk analysis, management style; 2) usage of technology and industry use are having very insignificant effect on cloud adoption rate. This research identified 'trust' as a major factor influencing the cloud adoption rate.

Keywords: cloud computing adoption; business performance; exploratory factor analysis; EFA; confirmatory factor analysis; CFA; structural equation modelling; SEM; Indian industries.

DOI: 10.1504/IJBIS.2018.093658

International Journal of Business Information Systems, 2018 Vol.28 No.4, pp.468 - 503

Received: 28 Oct 2016
Accepted: 25 Dec 2016
Published online: 31 Jul 2018 *

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