Factors Influencing E-procurement Adoption in the Transportation Industry

Arim Park (), Soohyun Cho, Seongtae Kim and Yao Zhao
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Arim Park: Rutgers University
Soohyun Cho: Rutgers University
Seongtae Kim: Chair of Logistic Management, Swiss Federal Institute of Technology Zurich
Yao Zhao: Rutgers University

A chapter in Advances in Service Science, 2019, pp 287-293 from Springer

Abstract: Abstract On-demand matching services for commercial transportation needs have only recently entered the market in South Korea, with early players like Uber Freight and Convoy seeking new ways to curtail inefficiencies in the transportation sector. However, despite the availability of these services and the fact that advanced information technology can be readily applied in transportation-related fields, multiple factors, including negotiation power and inefficient matching rates between shippers and truckers, continue to influence transportation rates. With this in mind, we seek to conduct an empirical study by using logistic regression to identify the critical factors that might increase successful matching rates through the e-platform. Truckers consider travel time, fuel prices, truck and cargo types, load factor and O-D pairs to select a job when using the platform. They can use their search results to develop segmented operation strategies that vary according to the unique characteristics of individual truckers and shippers, the features of their services and other factors. By leveraging these and other aspects of the e-markets, truckers can expect to remain busy by filling any gaps in employment with the help of e-procurement.

Date: 2019
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DOI: 10.1007/978-3-030-04726-9_29

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