Organizing ERP research: a knowledge-centric approach

Author:

Amani Farzaneh,Fadlalla AdamORCID

Abstract

Purpose The purpose of this paper is to gain insight into enterprise resource planning (ERP) research by framing ERP intellectual contributions using a knowledge-centric taxonomy that was originally proposed as an organizing framework for classifying conceptual contributions in marketing. Thus the paper provides a better understanding of existing gaps and future opportunities in ERP research. Design/methodology/approach Using MacInnis framework, the authors classified a sample of 300 ERP articles published during the period 2000-2014 into a topology of four generic contributions types and eight sub-types. Findings The findings indicate that whereas the explicating type received the most attention by researches, the debating type received the least. It also seems that there is a temporal dimension to the different types of conceptual contributions. Identification of usefulness of the ERP systems to business was not addressed as would have been predicted by the build-evaluate lens of March and Smith framework. Research limitations/implications The main limitation of this research is that only used articles from scholarly journals, and did not include conference proceedings, books, and other outlets. Another limitation is that the search criteria was title-based, which may have missed some relevant papers. Research implications include highlighting the importance of a knowledge-centric view of ERP research, and practical implications include the call for robust measurement criteria for ERP benefits and rigorous ERP comparison schemes. Originality/value The main contribution is providing an alternative approach to framing the ERP intellectual contributions. The proposed taxonomy revealed major areas of focus and opportunities for future ERP research emphasis. To the best of the authors’ knowledge, this is the first instantiation of MacInnis framework into ERP research.

Publisher

Emerald

Subject

Information Systems,Management of Technology and Innovation,General Decision Sciences

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