Best-worst scaling approach to predict customer choice for 3PL services

Coltman, TR; Devinney, TM; Keating, BW

Best-worst scaling approach to predict customer choice for 3PL services

Coltman, TR Devinney, TM Keating, BW

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Publication Type:: Journal Article
Citation:: Journal of Business Logistics, 2011, 32 (2), pp. 139 - 152
Issue Date:: 2011-06-01

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Field	Value	Language
dc.contributor.author	Coltman, TR	en_US
dc.contributor.author	Devinney, TM	en_US
dc.contributor.author	Keating, BW	en_US
dc.date.issued	2011-06-01	en_US
dc.identifier.citation	Journal of Business Logistics, 2011, 32 (2), pp. 139 - 152	en_US
dc.identifier.issn	0735-3766	en_US
dc.identifier.uri	http://hdl.handle.net/10453/17437
dc.description.abstract	This study describes a simple, theoretically based methodology to analyze the nature of customer demand for third-party logistics provider service components. The method overcomes limitations in prior studies and enables us to examine the relative importance of product and service attributes as they pertain to the choice of third-party logistics providers. Two distinct types of customers populate our data: those professing operational attributes and those seeking relational attributes. The theoretical and practical implications are that improved supply chain models can be developed when separate demand structures are taken into account. © Council of Supply Chain Management Professionals.	en_US
dc.relation.ispartof	Journal of Business Logistics	en_US
dc.relation.isbasedon	10.1111/j.2158-1592.2011.01012.x	en_US
dc.subject.classification	Business & Management	en_US
dc.title	Best-worst scaling approach to predict customer choice for 3PL services	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	32	en_US
utslib.for	1505 Marketing	en_US
utslib.for	1503 Business and Management	en_US
dc.location.activity	Various
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Strength - CMOS - Centre for Management and Organisation Studies
utslib.copyright.status	closed_access
pubs.issue	2	en_US
pubs.publication-status	Published	en_US
pubs.volume	32	en_US

Abstract:

This study describes a simple, theoretically based methodology to analyze the nature of customer demand for third-party logistics provider service components. The method overcomes limitations in prior studies and enables us to examine the relative importance of product and service attributes as they pertain to the choice of third-party logistics providers. Two distinct types of customers populate our data: those professing operational attributes and those seeking relational attributes. The theoretical and practical implications are that improved supply chain models can be developed when separate demand structures are taken into account. © Council of Supply Chain Management Professionals.

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http://hdl.handle.net/10453/17437