Archival analysis of enterprise resource planning systems : the current state and future directions

Eden, Rebekah, Sedera, Darshana, & Tan, Felix (2012) Archival analysis of enterprise resource planning systems : the current state and future directions. In Huang, Ming-Hui, Piccoli, Gabe, & Sambamurthy, Vallabh (Eds.) Proceedings of the 33rd International Conference on Information Systems, AIS Electronic Library (AISeL), Orlando, FL.

View at publisher

Abstract

Research on Enterprise Resource Planning (ERP) Systems is becoming a well-established research theme in Information Systems (IS) research. Enterprise Resource Planning Systems, given its unique differentiations with other IS applications, have provided an interesting backdrop to test and re-test some of the key and fundamental concepts in IS. While some researchers have tested well-established concepts of technology acceptance, system usage and system success in the context of ERP Systems, others have researched how new paradigms like cloud computing and social media integrate with ERP Systems. Moreover, ERP Systems provided the context for cross disciplinary research such as knowledge management, project management and business process management research. Almost after two-decades since its inception in IS research, this paper provides a critique of 198 papers published on ERP Systems since 2006-2012. We observe patterns on ES research, provide comparisons to past studies and provide future research directions.

Impact and interest:

3 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 58512
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
ISBN: 9780615718439
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
Divisions: Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 AIS Electronic Library
Deposited On: 20 Mar 2013 22:35
Last Modified: 12 Jun 2013 15:39

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page