An empirical assessment of the CIO role expectations instrument using PLS path modelling
Article
Article Title | An empirical assessment of the CIO role expectations instrument using PLS path modelling |
---|---|
ERA Journal ID | 39965 |
Article Category | Article |
Authors | Al-Taie, Moyassar (Author), Lane, Michael (Author) and Cater-Steel, Aileen (Author) |
Journal Title | Communications of the Association for Information Systems |
Journal Citation | 42 (1), pp. 1-20 |
Number of Pages | 20 |
Year | 2018 |
Place of Publication | United States |
ISSN | 1529-3181 |
Digital Object Identifier (DOI) | https://doi.org/10.17705/1CAIS.04201 |
Web Address (URL) | http://aisel.aisnet.org/cais/vol42/iss1/1/ |
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. |
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 |
ANZSRC Field of Research 2020 | 460908. Information systems organisation and management |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | School of Management and Enterprise |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q44wx/an-empirical-assessment-of-the-cio-role-expectations-instrument-using-pls-path-modelling
717
total views16
total downloads1
views this month0
downloads this month