Using a multiple-informant approach in SCM research. Issue 6 (1st July 2014)

• Record Type: Journal Article
• Authors: Kaufmann, Lutz; Astou Saw, Aischa
• Is Part Of: International journal of physical distribution & logistics management. Volume 44:Issue 6(2014)
• Page Start: 511
• Page End: 527
• Publication Date: 2014-07-01
• Subjects: Research methods -- Survey research -- Systematic literature review -- Multiple informants; Physical distribution of goods -- Management -- Periodicals; Business logistics -- Periodicals; Materials management -- Periodicals; 658.788
• DOI: 10.1108/IJPDLM-05-2013-0099
• Languages: English
• ISSNs: 0960-0035

Abstract

Abstract : Purpose: – The purpose of this paper is to review the current state of survey-based SCM research that employs a multiple-informant perspective. Recommendations on how to rigorously conduct such research are developed, strengths and limitations discussed, and opportunities for advancing the discipline through this approach identified. Design/methodology/approach: – A systematic literature review (SLR) of 1, 048 articles published in five leading SCM journals within a seven-year time frame is conducted. Findings: – The review shows that multiple-informant studies are still largely under-represented. Yet this approach more accurately depicts the multi-faceted nature of SCM. Specific requirements of this approach need to be considered throughout the research process, from unit of analysis, sampling frame, and data collection to analytic strategy. Research limitations/implications: – Taking into account the often complex, dynamic actor networks in which SCM phenomena are embedded may provide new insights, especially when controversial results have been found. This approach may also enrich the understanding of phenomena that have previously been examined only from a monadic perspective. Originality/value: – The paper examines the low incidence of multiple-informant survey research in SCM, discusses how its application can advance the field, and provides guidance on how to effectively apply this approach to more fully understand complex SCM phenomena. It further shows that studies using multiple informants yield novel theoretical insights and valuable recommendations for decision makers on how to use the interfaces between different actors across functional and organizational borders.