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Determinants in adopting the Internet of Things in the transport and logistics industry

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  • Rey, Andrea
  • Panetti, Eva
  • Maglio, Roberto
  • Ferretti, Marco

Abstract

This work assesses the factors affecting a firm’s adoption of the Internet of Things (IoT) in the transport and logistics (T&L) industry. This study uses mixed methods research to explore the determinants of IoT. First, we gathered information on firms’ structural characteristics through a questionnaire. Then, we used an OLS regression analysis to determine which factors drive IoT adoption. The results suggested that the level of IoT technologies’ adoption within firms in T&L is positively affected by firm size, the firm’s absorptive capacity, and entrepreneurs’ perception of the benefits of related technologies. Implications and limitations of the study are also provided.

Suggested Citation

  • Rey, Andrea & Panetti, Eva & Maglio, Roberto & Ferretti, Marco, 2021. "Determinants in adopting the Internet of Things in the transport and logistics industry," Journal of Business Research, Elsevier, vol. 131(C), pages 584-590.
    • Handle: RePEc:eee:jbrese:v:131:y:2021:i:c:p:584-590
    DOI: 10.1016/j.jbusres.2020.12.049
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    References listed on IDEAS

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    Cited by:

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    3. Battisti, Enrico & Alfiero, Simona & Leonidou, Erasmia, 2022. "Remote working and digital transformation during the COVID-19 pandemic: Economic–financial impacts and psychological drivers for employees," Journal of Business Research, Elsevier, vol. 150(C), pages 38-50.
    4. Juliet Orji, Ifeyinwa & Ojadi, Frank & Kalu Okwara, Ukoha, 2022. "The nexus between e-commerce adoption in a health pandemic and firm performance: The role of pandemic response strategies," Journal of Business Research, Elsevier, vol. 145(C), pages 616-635.
    5. Alok Raj & Anand Jeyaraj, 2023. "Antecedents and consequents of industry 4.0 adoption using technology, organization and environment (TOE) framework: A meta-analysis," Annals of Operations Research, Springer, vol. 322(1), pages 101-124, March.
    6. Alfiero, Simona & Battisti, Enrico & Ηadjielias, Elias, 2022. "Black box technology, usage-based insurance, and prediction of purchase behavior: Evidence from the auto insurance sector," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    7. Lan, Lan & Zhou, Zhifang, 2024. "Complementary or substitutive effects? The duality of digitalization and ESG on firm's innovation," Technology in Society, Elsevier, vol. 77(C).
    8. Mladen Krstić & Giulio Paolo Agnusdei & Pier Paolo Miglietta & Snežana Tadić & Violeta Roso, 2022. "Applicability of Industry 4.0 Technologies in the Reverse Logistics: A Circular Economy Approach Based on COmprehensive Distance Based RAnking (COBRA) Method," Sustainability, MDPI, vol. 14(9), pages 1-30, May.

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