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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.

Suggested Citation

  • 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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    References listed on IDEAS

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    7. Golob, Thomas F. & Regan, Amelia C., 1999. "Freight industry attitudes towards policies to reduce congestion," University of California Transportation Center, Working Papers qt3fq6x2sq, University of California Transportation Center.
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    11. Ulf Olsson, 1979. "Maximum likelihood estimation of the polychoric correlation coefficient," Psychometrika, Springer;The Psychometric Society, vol. 44(4), pages 443-460, December.
    12. Golob, Thomas F. & Regan, A C, 1999. "Freight Industry Attitudes Towards Policies to Reduce Congestion," University of California Transportation Center, Working Papers qt57r4d3fd, University of California Transportation Center.
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    Citations

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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. Smalkoski, Brian & Levinson, David, 2004. "Value of Time for Commercial Vehicle Operators," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 44(1).
    5. Belderbos, Rene & Carree, Martin & Diederen, Bert & Lokshin, Boris & Veugelers, Reinhilde, 2004. "Heterogeneity in R&D cooperation strategies," International Journal of Industrial Organization, Elsevier, vol. 22(8-9), pages 1237-1263, November.
    6. Allen, W. David, 2009. "Interview effects in the reporting of domestic violence," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(2), pages 288-300, March.
    7. Zhang, Xiao & Boscardin, W. John & Belin, Thomas R. & Wan, Xiaohai & He, Yulei & Zhang, Kui, 2015. "A Bayesian method for analyzing combinations of continuous, ordinal, and nominal categorical data with missing values," Journal of Multivariate Analysis, Elsevier, vol. 135(C), pages 43-58.
    8. repec:spr:scient:v:72:y:2007:i:2:d:10.1007_s11192-007-1731-y is not listed on IDEAS
    9. 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.
    10. Belanès, Amel & Saihi, Malek, 2016. "Evidence on complementarity and substitution contingency in monitoring and bonding mechanisms," Research in International Business and Finance, Elsevier, vol. 38(C), pages 161-171.
    11. 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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