2017
DOI: 10.1111/jscm.12157
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Small and Medium Enterprise Research in Supply Chain Management: The Case for Single‐Respondent Research Designs

Abstract: Deciding on the number of respondents in a data-collection instrument is a key design consideration requiring supply chain researchers to balance multiple competing factors. The debate on this respondent design question may unintentionally disregard over 95% of enterprises engaged in supply chains: small and medium enterprises (SMEs). We present arguments for why single-respondent designs can be more appropriate in the SME setting, particularly when considering the various facets of supply chain management and… Show more

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Cited by 89 publications
(140 citation statements)
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References 84 publications
(104 reference statements)
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“…The best way to reduce the effect of systematic error is through using multiple respondents (Ketokivi & Guide, ), because they have different personal characteristics, organizational perspectives, and experiences. Thus, Type 1 and 2 research designs should generally be avoided, although Kull, Kotlar and Spring () provide an example of when a Type 1 design might be acceptable.…”
Section: Problem 1: Common Methods Biasmentioning
confidence: 99%
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“…The best way to reduce the effect of systematic error is through using multiple respondents (Ketokivi & Guide, ), because they have different personal characteristics, organizational perspectives, and experiences. Thus, Type 1 and 2 research designs should generally be avoided, although Kull, Kotlar and Spring () provide an example of when a Type 1 design might be acceptable.…”
Section: Problem 1: Common Methods Biasmentioning
confidence: 99%
“…As Kull et al. () note, a key informant may be appropriate for a small firm with, say, 43 employees, where the president/owner makes virtually all decisions, and there are no alternative knowledgeable informants (John & Rene, ).…”
Section: Problem 2: Respondent Biasmentioning
confidence: 99%
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