Using Mixed Methods in Logistics and Supply Chain Management Research: Current State and Future Directions

David Grant, Sarah Shaw, Edward Sweeney, Witold Bahr, Siriwan Chaisurayakarn, Pietro Evangelista

    Research output: Contribution to journalArticlepeer-review

    5 Citations (Scopus)
    189 Downloads (Pure)

    Abstract

    Purpose: Mixed methods research is useful to enhance theoretical and practical research contributions. However, single methods have predominated much logistics and supply chain management (LSCM) research. This paper presents a review of mixed methods research across ten years in LSCM to determine their usage, identify benefits and inhibitors, and provide suggestions for LSCM researchers to realise the benefits from using mixed methods.

    Design/methodology/approach: This paper adopts a mixed methods approach through a quantitative analysis of methods used in six leading LSCM journals, an e-mail survey of mixed methods article authors during the review period, and four published case studies that used mixed methods.

    Findings: Only 144 (ten percent) of all empirical articles, were published using mixed methods during the review period. A range of benefits and inhibitors regarding mixed methods adoption were found. Suggestions for LSCM authors include research training in mixed methods use and developing a project-specific research design due to the specificity and complexity associated with mixed methods research.

    Originality/value: LSCM is at a critical juncture, shaped by new contexts, themes, and challenges, and would benefit from different research approaches and methods. This paper contributes to the LSCM domain through analysing the current state, benefits and inhibitors of mixed methods research in LSCM journals to provide a renewed call to action and guidelines for mixed methods LSCM research, and suggesting research design adaptation to enable agile and resilient research when investigating rapidly changing and complex phenomena.
    Original languageEnglish
    Pages (from-to)177-198
    Number of pages22
    JournalThe International Journal of Logistics Management
    Volume34
    Issue number7
    Early online date10 Nov 2023
    DOIs
    Publication statusPublished - 18 Dec 2023

    Bibliographical note

    © David B. Grant, Sarah Shaw, Edward Sweeney, Witold Bahr, Siriwan Chaisurayakarn and Pietro Evangelista. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http:// creativecommons.org/licences/by/4.0/legalcode

    Keywords

    • research
    • mixed methods
    • single methods
    • logistics
    • supply chain management

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