Title: Modelling of truck logistics provider based on attitude of truck operators and drivers: mixed method approach

Authors: Thanapong Champahom; Panuwat Wisutwattanasak; Rabil Ponphai; Sajjakaj Jomnonkwao; Ampol Karoonsoontawong; Vatanavongs Ratanavaraha

Addresses: Department of Management, Faculty of Business Administration, Rajamangala University of Technology Isan, Nakhon Ratchasima 30000, Thailand ' School of Transportation Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand ' Department of Management, Faculty of Business Administration, Rajamangala University of Technology Isan, Nakhon Ratchasima 30000, Thailand ' School of Transportation Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand ' Department of Civil Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangkok 10140, Thailand ' School of Transportation Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand

Abstract: Current transportation problems are challenging. Service qualities and policies of third-party logistics derive from the executives or the directors' visions, from which all concepts originate without any driver's participation. This study aims to build the transport indicators generated from visions of the operators consisting of controllers and drivers. This research uses mixed methods research including qualitative and quantitative analysis. For the qualitative analysis, the interviews were conducted by transport controllers. The questionnaires were used with truck drivers for quantitative analysis. Regarding the results from the quantitative method, this study illustrated that the components of operation consist of four factors including safety, revenue, transport, and policy. The results indicated that these factors are statistically significant. This study can be used as a guideline to provide improved policies for organisations within the public and private sectors that are involved in truck transportation.

Keywords: mixed method; confirmatory factor analysis; CFA; exploratory factor analysis; EFA; truck agency.

DOI: 10.1504/IJLSM.2024.143385

International Journal of Logistics Systems and Management, 2024 Vol.49 No.4, pp.554 - 578

Received: 15 Sep 2021
Accepted: 24 Nov 2021
Published online: 17 Dec 2024 *

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