Title

Behavioral Research Opportunities: Understanding The Impact Of Enterprise Systems

Keywords

Case studies; Cross-sectional field studies; Enterprise resource planning systems; Enterprise systems; ERP; Field research; Triangulation

Abstract

Over the past ten years, many organizations, both large and small, have implemented enterprise resource planning systems or enterprise systems. The motivation behind these investments is to improve organizational efficiency, effectiveness, and ultimately performance. Underlying the expectation of performance increases is the belief that information can be captured and disseminated throughout the organization more quickly to help individuals do their jobs better by making better decisions. While the return on these investments is certainly expected, understanding how both the organization and individuals within these organizations are affected and how the benefits will actually materialize from an interorganizational perspective has received little attention. The purpose of this discussion is to highlight the largely ignored behavioral impacts of enterprise systems implementation and integration and to suggest ways to improve the validity and generalizability of field research through method triangulation. This discussion advocates that the contemporary enterprise systems research could learn much from the management accounting research discipline as it searches for greater meaning and rigor in its research approaches. Specifically, this paper suggests that future research on enterprise systems should include (1) experimentation that focuses primarily on judgment and decision making at the individual level and improvements in organizational performance, and (2) triangulation methods that integrate case research, surveys, and cross-sectional field studies. © 2006.

Publication Date

3-1-2006

Publication Title

International Journal of Accounting Information Systems

Volume

7

Issue

1

Number of Pages

7-17

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1016/j.accinf.2006.02.001

Socpus ID

33645943420 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/33645943420

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