Article

European Journal of Information Systems (2006) 15, 556–568. doi:10.1057/palgrave.ejis.3000654

An exploration of factors that impact individual performance in an ERP environment: an analysis using multiple analytical techniques

Boontaree Kositanurit1, Ojelanki Ngwenyama2 and Kweku-Muata Osei-Bryson3

  1. 1Fiscal Policy Office, Information and Communication Technology Center, Ministry of Finance, Thailand
  2. 2Research Institute for Tfechnology Management and Organizational Learning, School of Information Technology Management, Ryerson University, Toronto, Canada
  3. 3Department of Information Systems and The Information Systems Research Institute, Virginia Commonwealth University, Richmond, VA, U.S.A.

Correspondence: Ojelanki Ngwenyama, Research Institute for Technology Management and Organizational Learning, School of Information Technology Management, Ryerson University, 350 Victoria Street, Toronto, Canada M5B 2K3. Tel: +1 416 979 5000 ext. 4203; E-mail: ojelanki@ryerson.ca

Received 18 May 2005; Revised 19 October 2006; Accepted 26 October 2006.

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Abstract

This study explores the factors that can impact individual performance when using enterprise resource planning (ERP) systems. Starting from the proposition that organizational performance depends on individuals' task accomplishments, we test a structural model of task–technology fit, ERP user satisfaction, and individual performance in ERP environments. This research utilizes a survey method to examine the perceptions of ERP users. We performed factor and reliability analyses to assess the validity of the survey instrument. Six factors were identified as having an impact on individual performance: System Quality, Documentation, Ease of use, Reliability, Authorization, and Utilization. To explore the relationships among these factors, we conducted regression and multivariate adaptive regression splines analysis, and compared the findings from these two analytical techniques. The study provides evidence that System Quality, Utilization, and Ease of Use are the most important factors bearing on individual performance in ERP environments. Our findings also provide IT managers and researchers with knowledge of how these factors can be manipulated to improve individual performance when using ERP systems.

Keywords:

ERP, user performance, task–technology fit, regression splines

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