Measuring the Importance of Attributes in Logistics Research

Garver, Michael Scott; Williams, Zac; LeMay, Stephen A.

doi:10.1108/95740931080001331

Cited by 12 publications

(31 citation statements)

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“…Although MD scaling was developed about 25 years ago, only recently have academic researchers in marketing and logistics begun to use this method (Chrzan and Golovashkina 2006 ;Cohen and Orme 2004 ;Garver 2009 ;Garver, Williams, and LeMay 2010 ;Williams, Garver, and Taylor 2011 ). Garver, Williams, and LeMay ( 2010 ) have identifi ed four key advantages of MD over traditional methods: MD is a tradeoff exercise, increases variation among variables, limits scale use bias, and increases predictive capabilities.…”

Section: Methodsmentioning

confidence: 99%

“…Chrzan and Golovashkina ( 2006 ) found that compared with fi ve widely used methods for assessing attribute importance (stated importance, constant sum, unbounded ratings, Q-Sort, and magnitude estimation), MD produces more accurate results and allows researchers to identify unique, need-based segments that may exist within a sample. For more information about MD, please see Chrzan and Golovashkina ( 2006 ) as well as Garver, Williams, and LeMay ( 2010 ). For more information about MD, please see Chrzan and Golovashkina ( 2006 ) as well as Garver, Williams, and LeMay ( 2010 ).…”

Section: Methodsmentioning

confidence: 99%

“…Third, logistics and supply chain researchers recently have called for the adoption of new research designs and statistical methods to measure the importance of attributes (Garver, Williams, and LeMay 2010 ). The current study attempts to answer that call through the use of maximum difference (MD) scaling.…”

Section: Rating Scales and Point Allocationmentioning

confidence: 99%

“…The effective number of observations exceeds the threshold of 100 completed survey respondents for an MD study, as recommended by Garver, Williams, and LeMay ( 2010 ). However, after excluding incomplete surveys and respondents who either lacked the requisite knowledge and expertise, or who answered questions haphazardly, 222 valid and complete surveys were retained for analysis.…”

Section: Collect the MD Datamentioning

confidence: 99%

“…While the importance scores convey relevant information about shipper values, their use is very limited in terms of identifying unique segments that may exist in the sample (Garver 2009 ;Garver, Williams, and LeMay 2010 ). Thus, latent class cluster analysis (LCCA) was used to determine whether unique need-based customer segments exist in terms of the importance attached to the carrier-selection variables.…”

Section: Identifi Cation Of Need-based Segmentsmentioning

confidence: 99%

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Carrier Selection:

Williams

Garver

Taylor

2013

Transportation Journal

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There is a substantial body of research devoted to the processes shippers use in selecting motor carriers. Using data collected from 222 less-than-truckload (LTL) shippers, the current study attempts to further extend knowledge in this area in three ways by (1) examining additional carrier selection variables that heretofore have not been investigated, (2) employing a research method that has not been used in previous studies, and (3) conducting segmentation analyses of LTL shippers in their selection of motor carriers. In addition, this study identified five distinct need-based segments of LTL shippers that assigned differential importance to the variables considered in the selection process. The authors also describe the basic demographic characteristics of each segment. Recommendations for managerial actions and future research on carrier selection are provided.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Rating Scales and Point Allocationmentioning

confidence: 99%

Section: Collect the MD Datamentioning

confidence: 99%

Section: Identifi Cation Of Need-based Segmentsmentioning

confidence: 99%

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Carrier Selection:

Williams

Garver

Taylor

2013

Transportation Journal

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Improving the house of quality with maximum difference scaling

Garver

2012

International Journal of Quality &Amp; Reliability Management

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Purpose -The purpose of this paper is to put forth maximum difference scaling to more accurately identify importance scores for customer requirements, which will also allow need-based segments to be recognized and utilized within the QFD process. Design/methodology/approach -An overview of research methods to explore customer requirements are discussed, followed by survey data analysis of customer requirements which compares and contrasts stated importance ratings to maximum difference scaling results. Findings -The results from this study suggest that maximum difference scaling offers some advantages compared to traditional stated importance ratings, as well as other traditional methods for determining importance ratings. Providing significantly more discriminating power among customer requirements, maximum difference scaling allows researchers to have a more accurate and valid view of the relative importance of customer requirements as well as the ability to form need-based segments.Research limitations/implications -Limitations of all research methods are discussed, including those limitations of maximum difference scaling. Practical implications -The method put forth in this article provides practitioners with an improved methodology for determining the importance of customer requirements. Originality/value -While maximum difference scaling has been proposed and tested in other fields, this is the first article of maximum difference scaling being applied to a QFD project.

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Developing supply chain security design of logistics service providers

Lam

Dai

2015

Int Jnl Phys Dist & Log Manage

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Purpose -Supply chain security has been recognized as an important part of managing business risks. The purpose of this paper is to propose a methodology with systematic metrics for logistics service providers (LSPs) to develop their security design to meet customer demands. Design/methodology/approach -The study is based on a three-stage process of desk research, content validation test, and in-depth case study. The study demonstrates an integrated analytical approach which combines analytical network process (ANP) with quality function deployment (QFD), and then applies the approach to an international LSP. Findings -A case study of an international LSP shows how the ANP-QFD approach can be deployed to understand customers' expectation for security and develop tactics and measures with the aim to achieve the desirable outcome for LSPs' security design. Originality/value -The paper contributes to supply chain security literature and practice. This study is among the research taking the first step to use ANP-QFD to translate the customer requirements (CRs) for supply chain security into systematic metrics for LSPs to develop their security design. Results from such research into the development of security performance can benefit LSPs in terms of increasing the effectiveness and improving the customer orientation of security efforts. By extension, other firms can enhance their security design by referring to the case study and the integrated analytical method. The flexibility of this ANP-QFD approach offers leeway for firms to change the CRs and design requirements based on their unique circumstances.

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Measuring the Importance of Attributes in Logistics Research

Cited by 12 publications

References 0 publications

Carrier Selection:

Carrier Selection:

Improving the house of quality with maximum difference scaling

Developing supply chain security design of logistics service providers

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