An Auditing Approach for ERP Systems Examining Human Factors that Influence ERP User Satisfaction

Theodoros Mitakos (), Ioannis Almaliotis () and Anna Demerouti ()

Informatica Economica, 2010, vol. 14, issue 1, 78-92

Abstract: This paper tries to connect the successful implementation and operation of the ERP (Enterprise Resource Planning) information systems with people and their characteristics through a pilot survey. It examines the human factors that influence ERP user satisfaction. The presented survey tests 14 hypotheses and is based on the model developed by Zviran, Pliskin & Levin [21]. An additional factor has been added to the specified model, the self-efficacy factor analyzed by Bandura [1]. The results are based on 250 ERP users that responded to the survey. The key findings that were revealed by data analysis were that none of the human socio-demographic characteristics do influence ERP user satisfaction. Additionally it was found that perceived usefulness and self-efficacy are the key directors of the ERP user satisfaction. Moreover suggestions are given about how the companies should handle ERP usage in order to develop the prerequisites for increasing user satisfaction and productivity accordingly.

Keywords: ERP Audit; User Satisfaction; Perceived Usefulness (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://revistaie.ase.ro/content/53/08%20Mitakos,%20Almaliotis,%20Demerouti.pdf (application/pdf)

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:aes:infoec:v:14:y:2010:i:1:p:78-92

Access Statistics for this article

Informatica Economica is currently edited by Ion Ivan

More articles in Informatica Economica from Academy of Economic Studies - Bucharest, Romania Contact information at EDIRC.
Bibliographic data for series maintained by Paul Pocatilu ().