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Predicting e‐procurement adoption in a developing country: An empirical integration of technology acceptance model and theory of planned behaviour

Mohamed Gamal Aboelmaged (College of Business Administration, Ajman University of Science and Technology, Ajman, United Arab Emirates)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 23 March 2010

Abstract

Purpose

The purpose of this paper is to predict e‐procurement adoption through integrating the constructs of the technology acceptance model and the theory of planned behaviour.

Design/methodology/approach

A structural equation modelling is conducted through the analysis of 316 usable questionnaires.

Findings

The results show that the proposed model has good explanatory power and confirms its robustness, with a reasonably strong empirical support, in predicting users' intentions to use e‐procurement technology. Behavioural intention toward e‐procurement technology is mainly determined by user's attitude and additionally influenced by perceived usefulness and subjective norm.

Practical implications

The paper provides procurement system developers and managers with a useful adoption model that demonstrates the significance of perceived usefulness of e‐procurement system in influencing the adoption decision. This highlights the importance of maximizing the benefits of e‐procurement system for potential users to facilitate the adoption process.

Social implications

System developers and procurement managers should also consider the role of social influences, such as these from supply chain partners, in the adoption process and how such influences may facilitate or inhibit e‐procurement adoption process.

Originality/value

The paper is the first study that examines e‐procurement adoption in the United Arab Emirates. Also, the findings allow us to understand the importance of both technology‐related aspects and social influence in e‐procurement adoption.

Keywords

Citation

Gamal Aboelmaged, M. (2010), "Predicting e‐procurement adoption in a developing country: An empirical integration of technology acceptance model and theory of planned behaviour", Industrial Management & Data Systems, Vol. 110 No. 3, pp. 392-414. https://doi.org/10.1108/02635571011030042

Publisher

:

Emerald Group Publishing Limited

Copyright © 2010, Emerald Group Publishing Limited