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Estimating attributes importance for container shipping industry by closing the listening gap with maximum convergent validity

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  • Chen, Kee-Kuo
  • Ho, Hui-Ping
  • Chang, Ching-Ter

Abstract

This paper estimates the relationship of attributes importance (AI) to prospect purchase intention by closing the listening gap between customers and managers of container shipping companies. A proposition of minimum cross entropy is proposed to find a solution to the problem with maximum convergent validity, and this proposition is used to estimate AI, in which both opinions about AI of customers and managers of container shipping companies are included. Results indicate that price, discount, personal selling, and word of mouth, are the most important attributes to prospect purchase intention, within the industry. In addition, managerial implications are also discussed.

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  • Chen, Kee-Kuo & Ho, Hui-Ping & Chang, Ching-Ter, 2015. "Estimating attributes importance for container shipping industry by closing the listening gap with maximum convergent validity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 79(C), pages 145-163.
    • Handle: RePEc:eee:transe:v:79:y:2015:i:c:p:145-163
    DOI: 10.1016/j.tre.2015.04.006
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