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The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Supply chain management: a structured literature review and implications for future research

Open access
Burgess, Kevin, Singh, Prakash J., Koroglu, Rana·2006·International Journal of Operations & Production Management

Abstract

Purpose: The field of supply chain management (SCM) has historically been informed by knowledge from narrow functional areas. While some effort towards producing a broader organizational perspective has been made, nonetheless, SCM continues to be largely eclectic with little consensus on its conceptualization and research methodological bases. This paper seeks to clarify aspects of this emerging perspective. Design/methodology/approach: A total of 100 randomly selected refereed journal articles were systematically analyzed. Findings: A number of key findings emerged: the field is a relatively “new” one; several disciplines claim ownership of the field; consensus is lacking on the definition of the term; contextual focus is mostly on the manufacturing industry; predominantly “process” conceptual framing prevails; research methods employed are mostly analytical conceptual, empirical surveys or case studies; the positivist research paradigmatic stance is prevalent; and theories related to transaction cost economics and competitive advantage dominate. Originality/value: This review identifies various conceptual and research methodological characteristics of SCM. From a philosophy of knowledge perspective, it is suggested that SCM be framed as a Lakatosian Research Program, for this has the best potential to assist in the development of SCM body of knowledge in a sustainable way into the future.

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Metadata

Authors
Burgess, K., Singh, P. J., & Koroglu, R.
Venue
International Journal of Operations & Production Management
Publisher
Emerald
Published
2006-07-01
Volume
26
Issue
7
Pages
703-729
ISSN
0144-3577 (ISSN-L)
OpenAlex
W1581009385
Cited by
754
References
2
FWCI
34.81
Type
journal article
Language
en
Open access
green

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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