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Cited by 688

The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.

Abductive reasoning in logistics research

Kovács, Gyöngyi, Spens, Karen M.·2005·International Journal of Physical Distribution & Logistics Management

Abstract

Purpose: To construct a framework for exploring and discussing the use of different research approaches – deductive, inductive and abductive – in logistics. Design/methodology/approach: A review of research articles in three major logistics journals (International Journal of Logistics Management, International Journal of Physical Distribution & Logistics Management and Journal of Business Logistics) from 1998 to 2002. Findings: Recognizes the dominance of deductive research in logistics, and the need for more inductive and, in particular, abductive research for theory development. Discusses the use of the abductive research approach in logistics. Research limitations/implications: Keywords searches led to a small sample size; more thorough content analysis is needed to apply the findings from the constructed framework. Practical implications: Useful source of information on the three different research approaches, their possibilities and implications for research. Originality/value: The abductive research approach has not yet been discussed in logistics.

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Metadata

Authors
Kovács, G., & Spens, K. M.
Venue
International Journal of Physical Distribution & Logistics Management
Publisher
Emerald
Published
2005-02-01
Volume
35
Issue
2
Pages
132-144
ISSN
0960-0035 (ISSN-L)
OpenAlex
W1976075852
Cited by
688
References
21
FWCI
7.32
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Abductive reasoning in logistics research. https://app.cochat.ai/papers/10.1108/09600030510590318
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Kovács, G., & Spens, K. M. (2005). Abductive reasoning in logistics research. International Journal of Physical Distribution & Logistics Management. https://doi.org/10.1108/09600030510590318

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

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.