Best-Worst Scaling Approach to Predict Customer Choice for 3PL Services

Coltman, Tim; Devinney, Timothy M.; Keating, Byron

doi:10.1111/j.2158-1592.2011.01012.x

Cited by 58 publications

(61 citation statements)

References 62 publications

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“…Although BWS has been mainly applied in business management and design of marketing strategies (Cohen, 2009;Coltman et al, 2011), it is gaining prominence in new fields such as health care (Flynn et al, 2007;. In environmental economics, recent studies use this method to analyze issues related to fisheries (Dorow et al, 2009) or forest resources (Lu, 2008;Tutsch et al, 2010).…”

Section: Literature Reviewmentioning

confidence: 99%

Applying Best–Worst Scaling in a stated preference analysis of forest management programs

Loureiro

Arcos

2012

JFE

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a b s t r a c tThe selection of an appropriate forest management program is an arduous task in which opinions and information are shared. In this research, we have tried to facilitate this process by applying the Best-Worst Scaling (BWS) method in order to discriminate among the various management alternatives and to identify the management preferences stated by a group of key actors in decision making process: common property forest owners. Descriptive results from the BWS method show the ranking for preventive wildfire policies from the best (most preferred) to the worst (least preferred) policy among those evaluated by forest owners. However, and after employing a Latent Class Model, we find that common forest owners can be classified into two different classes, especially distant in terms of preferences toward forest management priorities. On one hand, one of the classes (containing older individuals) is more likely to prefer policies based on direct economic incentives and quicker returns, whereas a second class (younger) prefers other policies that also contain environmental and social spillovers or benefits. Thus, we find that BWS may be a very suitable method of elicitation of preferences in the context of decision making under multiple conflicting criteria.

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Section: Literature Reviewmentioning

confidence: 99%

Applying Best–Worst Scaling in a stated preference analysis of forest management programs

Loureiro

Arcos

2012

JFE

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“…Although it has been mainly applied in business management and designing marketing strategies [27,28], it is gaining much popularity in some new subjects, such as health care [23,29]. In resource and environmental economics, it is gradually being employed to evaluate different environmental policies or mitigation measures [30,31].…”

Section: The Best-worst Scaling Methodsmentioning

confidence: 99%

Evaluation of GHG Mitigation Measures in Rice Cropping and Effects of Farmer’s Characteristics: Evidence from Hubei, China

Tong

Zhang

2017

Sustainability

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Greenhouse Gas emissions from agricultural activities, such as rice cropping, have been proven to be an important cause of climate change, with constant barriers and constraints in the implementation and promotion of mitigation measures among farmers in China. However, there has been a lack of research focusing on specific mitigation measures and their characteristics. In this paper, we applied the expert assessment and best-worst scaling method to evaluate mitigation measures in rice cropping from the perspectives of effectiveness and applicability. The results showed that no mitigation measure in rice cropping was best from both an effectiveness and applicability viewpoint. However, the study found that "reducing the use of chemical fertilizers" was the most effective one, while "applying soil testing and formulated fertilization" was the most applicable one. Additionally, the older farmers spending more time on non-agricultural jobs and farming more plots of land were more likely to believe that mitigation measures related to the management of input elements would be more applicable compared to soil and water management or some types of new science and technology. Finally, we suggested that the agricultural extension agencies should popularize input elements management such as improvement of fertilizer or seeds among older farmers, and meanwhile promote soil cultivation management and new technologies for agriculture in areas where the land is more concentrated such as plains.

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“…Coltman, Devinney and Keating (2010) have extended this literature and proposed that the 1 The terms "order qualifiers" and "order winners" refer to the operational capabilities (or attributes as used in this paper) that lead to competitive advantage. Order qualifiers are attributes where a performance on par with the competition, or at some minimum level, is necessary in order to be in the consideration set of a buyer.…”

Section: Heterogeneity and Segmentationmentioning

confidence: 99%

“…We began with a list that has been produced by Coltman, Devinney and Keating (2010) where they identify the relative importance of 21 factors that characterize core and peripheral attributes underlying 3PL demand. Based on a reduced form of utility-theoretic discrete choice analysis, known as maximum difference scaling or best-worst analysis, they pared these 21 factors down to those ten attributes most relevant to the 3PL choice decision in the minds of the customer.…”

Section: Pl Service Attributes Levels and Covariatesmentioning

confidence: 99%

What Drives the Choice of a Third-Party Logistics Provider?

Anderson

Coltman

Devinney

et al. 2011

Journal of Supply Chain Management

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It is generally believed that companies choose supply chain partners on the basis of their distinctive value propositions -a fact one would also expect holds true when companies choose a logistics service provider. However, faced with the complexities of varied customer demands, it can be difficult for logistics service companies to obtain an effective understanding of how customers differentially value the service components they offer. In this paper, we address this by identifying the factors that are important in a customer's choice of a logistics service provider. Using stated choice methods we explore the relative importance of seven service attributes using a sample of 309 managers with a central role in purchasing logistics services across a range of industries and countries. The results reveal that three distinct decision models populate our data where the preferences for different logistics service attributes -such as price and delivery performance -vary greatly between customer groups represented by these models. Strategically, our findings provide the management of a third party logistics provider with a logical starting point from which to determine the goals that are set for their operations, particularly in choosing the customer segments to service.

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Best-Worst Scaling Approach to Predict Customer Choice for 3PL Services

Cited by 58 publications

References 62 publications

Applying Best–Worst Scaling in a stated preference analysis of forest management programs

Applying Best–Worst Scaling in a stated preference analysis of forest management programs

Evaluation of GHG Mitigation Measures in Rice Cropping and Effects of Farmer’s Characteristics: Evidence from Hubei, China

What Drives the Choice of a Third-Party Logistics Provider?

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