Predicting the behavioral intention to use enterprise resource planning systems

Fethi Calisir (Industrial Engineering Department, Istanbul Technical University, Istanbul, Turkey)
Cigdem Altin Gumussoy (Industrial Engineering Department, Istanbul Technical University, Istanbul, Turkey)
Armagan Bayram (Industrial Engineering Department, Istanbul Technical University, Istanbul, Turkey)

Management Research News

ISSN: 0140-9174

Publication date: 19 June 2009

Abstract

Purpose

The purpose of this paper is to examine various factors affecting users' behavioral intention to use (BIU) enterprise resource planning (ERP) systems, based on data from 75 potential end‐users of ERP systems.

Design/methodology/approach

A survey methodology is used to gather data. The research model is constructed based on the findings of the previous studies.

Findings

The results indicate that subjective norms, perceived usefulness (PU) and education level are determinants of BIU the system. In addition, PU affects attitude toward use, and both perceived ease of use (PEOU) and compatibility affect PU. In addition, among personal characteristics, education level has a significant effect on PEOU and behavioral intention. However, there is no significant relationship between attitude and behavioral intention.

Research limitations/implications

As the sample is limited, the findings will require validation among other populations.

Practical implications

This paper provides evidence that compatibility and PEOU are important for the users to perceive the system's usefulness. Also, subjective norm is very important for the BIU the ERP systems.

Originality/value

This paper combines technology acceptance model, theory of reasoned action and innovation diffusion theory with personal characteristics of gender, education level and experience to determine the factors important for the acceptance of ERP systems.

Keywords

Citation

Calisir, F., Altin Gumussoy, C. and Bayram, A. (2009), "Predicting the behavioral intention to use enterprise resource planning systems", Management Research News, Vol. 32 No. 7, pp. 597-613. https://doi.org/10.1108/01409170910965215

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Publisher

:

Emerald Group Publishing Limited

Copyright © 2009, Emerald Group Publishing Limited

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