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Trucking Industry Adoption of Information Technology: A Structural Multivariate Probit Model

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  • Golob, Thomas F.
  • Regan, A C

Abstract

The objective of this research is to understand the demand for information technology among trucking companies. A multivariate discrete choice model is estimated on data from a large-scale survey of the trucking industry in California. This model is designed to identify the influences of each of twenty operational characteristics on the propensity to adopt each of seven different information technologies, while simultaneously allowing the seven error terms to be freely correlated. Results showed that the distinction between for-hire and private fleets is paramount, as is size of the fleet and the provision of intermodal maritime and air services.

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  • Golob, Thomas F. & Regan, A C, 2002. "Trucking Industry Adoption of Information Technology: A Structural Multivariate Probit Model," University of California Transportation Center, Working Papers qt9w1988t7, University of California Transportation Center.
    • Handle: RePEc:cdl:uctcwp:qt9w1988t7
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    15. Golob, Thomas F. & Recker, Wilfred W. & Alvarez, Veronica M., 2003. "Safety Aspects of Freeway Weaving Sections," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1zr6p58h, Institute of Transportation Studies, UC Berkeley.
    16. Milioti, Christina P. & Karlaftis, Matthew G. & Akkogiounoglou, Eleni, 2015. "Traveler perceptions and airline choice: A multivariate probit approach," Journal of Air Transport Management, Elsevier, vol. 49(C), pages 46-52.
    17. Golob, Thomas F. & Regan, A C, 2003. "Traffic Congestion and Trucking Managers' Use of Automated Routing and Scheduling," University of California Transportation Center, Working Papers qt74z234n4, University of California Transportation Center.
    18. Behera, Bhagirath & Rahut, Dil Bahadur & Jeetendra, Aryal & Ali, Akhter, 2015. "Household collection and use of biomass energy sources in South Asia," Energy, Elsevier, vol. 85(C), pages 468-480.
    19. Afghari, Amir Pooyan & Faghih Imani, Ahmadreza & Papadimitriou, Eleonora & van Gelder, Pieter & Hezaveh, Amin Mohamadi, 2021. "Disentangling the effects of unobserved factors on seatbelt use choices in multi-occupant vehicles," Journal of choice modelling, Elsevier, vol. 41(C).
    20. Mathieu Ouimet & Nabil Amara & Réjean Landry & John Lavis, 2007. "Direct interactions medical school faculty members have with professionals and managers working in public and private sector organizations: A cross-sectional study," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(2), pages 307-323, August.
    21. Golob, Thomas F. & Regan, Amelia C., 2002. "Traffic Congestion and Trucking Managers' Use of Automated Routing and Scheduling," University of California Transportation Center, Working Papers qt9q4232hz, University of California Transportation Center.
    22. Smalkoski, Brian & Levinson, David, 2004. "Value Of Time For Commercial Vehicle Operators In Minnesota," 45th Annual Transportation Research Forum, Evanston, Illinois, March 21-23, 2004 208272, Transportation Research Forum.
    23. Ngo, Quang Thanh, 2016. "Farmers’ adaptive measures to climate change induced natural shocks through past climate experiences in the Mekong River Delta, Vietnam," MPRA Paper 78055, University Library of Munich, Germany.

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