A conceptual model of information system usage for better improvement in organisations

Ibrahim Hussien Musa Magboul, Kok-Wai Chew and Murali Raman

International Journal of Business Information Systems, 2016, vol. 22, issue 3, 362-374

Abstract: This paper describes a conceptual model of information system (IS) usage for better improvement in organisations. First, the model considers IS usage as an intervening variable that plays a dual role, both as an antecedent and a consequence. Second, the model is constructed in context that reflects the essential factors influencing IS usage in organisations, namely, top management support, availability of training, business-IT alignment, information service support and IS investment. Third, the model integrates IS usage with selected strategic variables from the literature, namely, product differentiation, product innovation, process innovation, organisational performance, competitive advantage and strategy formulation in attempt to improve the performance of organisations. A number of propositions will be suggested based on the model as the basis for a future survey work to thoroughly examine, validate and refine the various aspects of IS usage.

Keywords: information systems; information system usage; organisational improvement; conceptual modelling; antecedents; consequences; intervening variables; strategic variables; top management support; training; business-IT alignment; information service support; IS investment; product differentiation; product innovation; process innovation; organisational performance; competitive advantage; strategy formulation; information technology. (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=76877 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbisy:v:22:y:2016:i:3:p:362-374

Access Statistics for this article

More articles in International Journal of Business Information Systems from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().