An empirical assessment of the CIO role expectations instrument using PLS path modelling

Al-Taie, Moyassar and Lane, Michael and Cater-Steel, Aileen (2018) An empirical assessment of the CIO role expectations instrument using PLS path modelling. Communications of Association for Information Systems, 42 (1). pp. 1-20. ISSN 1529-3181

Abstract

The validation of Information Systems research instruments has not been given the attention that it deserves. Based on data obtained from 174 Australian CIOs this study uses component-based structural equation modelling (PLS/SEM) to investigate the psychometric properties and possible modelling of the highly-regarded CIO role expectations instrument developed by Smaltz, Sambamurthy and Agarwal. Results show that the CIO role expectations instrument exhibits solid validity and reliability indices despite some minor weaknesses. The results also demonstrate the possibility to model the constructs of this instrument in different null and hierarchical models, and provide further empirical support for the validity of this instrument to measure the CIO role in different countries and different types of industries beyond the USA healthcare sector in which it was developed. The results provide support for CIO role theory on two central issues: CIOs are fulfilling a configuration of roles not just one specific role; and the CIO roles can be grouped into two major categories: supply (operational) side roles and demand (business) side roles.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Restricted access to article in accordance with the copyright policy of the publisher.
Faculty / Department / School: Current - Faculty of Business, Education, Law and Arts - School of Management and Enterprise
Date Deposited: 26 Mar 2018 00:05
Last Modified: 14 May 2018 00:38
Uncontrolled Keywords: Chief Information Officer role, configuration of CIO roles, duality of CIO roles, CIO role expectations instrument, Partial Least Squares (PLS), psychometric properties, hierarchical models, repeated indicators approach
Fields of Research : 08 Information and Computing Sciences > 0806 Information Systems > 080610 Information Systems Organisation
08 Information and Computing Sciences > 0806 Information Systems > 080609 Information Systems Management
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970110 Expanding Knowledge in Technology
E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: doi:10.17705/1CAIS.04201
URI: http://eprints.usq.edu.au/id/eprint/32644

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