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  • P-ISSN1738-3110
  • E-ISSN2093-7717
  • SCOPUS, ESCI

An Empirical Investigation of Factors Influencing Innovation and Organizational Performance among Logistics and Supply Chain Organizations in Thailand

The Journal of Distribution Science / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2024, v.22 no.2, pp.1-10
https://doi.org/10.15722/jds.22.02.202402.1
Rawin VONGURAI

Abstract

Purpose: As Thailand endeavors to solidify its position in the global supply chain, unraveling the determinants of innovation and performance becomes imperative for sustained competitiveness. This research delves into the multifaceted landscape of logistics and supply chain organizations in Thailand, aiming to identify and understand the key factors that significantly influence innovation and organizational performance in this dynamic sector. Research design, data, and methodology: A questionnaire is developed to survey to 400 employees who have at least one-year experience in selected ten logistics and supply chain organizations in Thailand. The sampling techniques involved judgmental, convenience and snowball sampling. Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) were employed to assess and validate the model's adequacy and to conduct hypothesis testing. Results: The findings reveal that ICT use significantly influenced entrepreneurial orientation and innovation but has no significant influence on organizational performance. Additionally, innovation was significantly influenced by collective entrepreneurship but not by entrepreneurial orientation. Finally, innovation significantly influenced organizational performance. Conclusions: The study concludes with actionable insights for logistics and supply chain organizations in Thailand. This research serves as a valuable resource for practitioners, policymakers, and researchers seeking to advance the understanding of organizational dynamics in this critical industry.

keywords
ICT, Innovation, Organizational Performance, Logistics, Supply Chain

The Journal of Distribution Science