Non-response bias assessment in logistics survey research: use fewer tests?

Clottey, Toyin; Grawe, Scott J.

doi:10.1108/ijpdlm-10-2012-0314

Cited by 49 publications

(32 citation statements)

References 31 publications

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“…Our results also indicate that a researcher should include as many key items as their sample size and number of nonrespondents to be contacted will allow (see Appendix and Table 6) when assessing for potential unit nonresponse bias with the proposed two‐way MANOVA approach. This is somewhat contrary to the advice given to SCM researchers, in previous studies (Mentzer & Flint, 1997; Clottey & Grawe, 2014), to perform unit nonresponse bias assessment on only two or five key survey items.…”

Section: Resultscontrasting

confidence: 74%

“…This is an intriguing and important finding as it suggests that the inclusion of more survey items, in the assessment of potential nonresponse bias, is desirable in the MANOVA approach. The prevalent advice given to SCM researchers for the number of survey items to include in an assessment for potential unit nonresponse bias is two key items, to maximize complete power (Clottey & Grawe, 2014), or five, which is considered a reasonable number of key items (Mentzer & Flint, 1997). The results of our study suggest that with dyadic data structures, the number of key items to use could be expanded past five due to ES considerations.…”

Section: Discussionmentioning

confidence: 99%

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Technical Note: Recommendations for Assessing Unit Nonresponse Bias in Dyadic Focused Empirical Supply Chain Management Research

Clottey

Benton

2020

Decision Sciences

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The last decade has seen an increase in empirical supply chain management research with dyadic data. Such data structures can further complicate the assessment of nonresponse bias, which plays a key role in establishing the credibility of research results. A survey of 75 research articles with dyadic data, published in five empirically focused supply chain management academic journals, over the last decade, reveals a lack of agreement on methods used in the assessment for potential unit nonresponse bias. Of the various statistical tests found, only the Multivariate Analysis of Variance (MANOVA) approach allows for a single statistical test to be utilized in assessing for potential unit nonresponse bias via incorporation of the design structure of the dyadic data. We investigate the use of an effect size confidence interval coverage, of a MANOVA, to detect a meaningful difference between respondents and nonrespondents correctly. Our results show that with dyadic data, such meaningful differences can be detected with significantly smaller sample size requirements than traditional approaches such as t-tests or ANOVA. Recommendations are provided for setting up and executing a MANOVA to assess for potential unit nonresponse bias with dyadic data.

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Section: Resultscontrasting

confidence: 74%

Section: Discussionmentioning

confidence: 99%

Technical Note: Recommendations for Assessing Unit Nonresponse Bias in Dyadic Focused Empirical Supply Chain Management Research

Clottey

Benton

2020

Decision Sciences

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“…In case of surveys performed by e-mail it is recommended the testing difference in responses of early respondents and late respondents or non-respondents (Armstrong and Overton, 1977;Clottey and Grawe, 2014;Rogelberg and Stanton, 2007). In order to verify if the answers obtained presented significant difference in item averages, a t-test for independent samples was applied for the first 247 respondents, considered (Group 1), and for the last 73, considered late (Group 2).…”

Section: Non-response Biasmentioning

confidence: 99%

The effect of collaboration and IT competency on reverse logistics competency - Evidence from Brazilian supply chain executives

Campos

Paula

Caten

et al. 2020

Environmental Impact Assessment Review

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Business models have being designed, worldwide, to create sustainability competencies and in particular to incorporate reverse logistics, but Brazilian executives have not yet fully adhered to Law 12,305 on solid waste and reverse logistics. What would be the Brazilian executives' perception about reverse logistics competency and the support provided by a collaborative and IT competency? The objective of the paper is to investigate the effects of collaboration and IT competency in developing reverse logistics competency, as a strategy, and its consequences in economic and environmental performance. A survey was performed with 320 Brazilian supply chain executives and analyzed using Structural Equation Modeling. The models demonstrated that collaboration has a direct positive influence on the development of reverse logistics competency, by executives' point of view. The moderation effect between collaboration and IT competency for reverse logistics was not confirmed, since it was adopted a strategic view of reverse logistics. Therefore, despite there was not a moderation effect, IT presented a lower direct effect on reverse logistics competency. Results reinforce that organizations that develop reverse logistics competency tend to improve their economic and environmental performances.

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“…To assess non-response bias, we compared early and late responses (Armstrong and Overton, 1977;Rogelberg and Stanton, 2007;Clottey and Grawe, 2014). Data from individuals who completed the survey between the initial contact and the second contact were compared against the data from the individuals who completed the survey between the second contact and the time the survey was closed.…”

Section: Data Preparationmentioning

confidence: 99%

Multi-study analysis of learning culture, human capital and operational performance in supply chain management

Overstreet

Skipper

Huscroft

et al. 2019

JDAL

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Purpose The purpose of this study is to empirically evaluate the relationship between learning culture, workforce level, human capital and operational performance in two diverse supply chain populations, aircraft maintenance and logistics readiness. Design/methodology/approach Drawing upon competence-based view of the firm and human capital theory, this paper analyzes data from two studies. Findings The results provide support for the hypothesized model. Workforce level moderates the relationship between learning culture and human capital, and human capital partially mediates the relationship between learning culture and operational performance. Research limitations/implications The findings have implications for behavioral supply chain management research and implications for educating and training the supply chain management workforce. While the populations represent a diverse set of logistics functions and responsibilities, the participants are all military members, which may limit generalizability. Practical implications This study should help leaders understand the importance of learning culture and the perceived differences in its effect on human capital based upon workforce level. Originality/value This research is among the first to investigate the role of workforce level and answers a multitude of calls for research into the human side of supply chain management.

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Non-response bias assessment in logistics survey research: use fewer tests?

Cited by 49 publications

References 31 publications

Technical Note: Recommendations for Assessing Unit Nonresponse Bias in Dyadic Focused Empirical Supply Chain Management Research

Technical Note: Recommendations for Assessing Unit Nonresponse Bias in Dyadic Focused Empirical Supply Chain Management Research

The effect of collaboration and IT competency on reverse logistics competency - Evidence from Brazilian supply chain executives

Multi-study analysis of learning culture, human capital and operational performance in supply chain management

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