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Critical factors affecting the adoption of container security service: The shippers' perspective

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  • Chao, Shih-Liang
  • Lin, Pei-Shan

Abstract

After September 11, 2001, a so-called container security service (CSS) composed of auto-detection and radio frequency identification (RFID) technologies has been introduced and commercialized. The objective of this study is to identify the factors affecting intention to adopt the CSS. A novel research model was developed based on the technology acceptance model. Eight hypotheses derived from this model were empirically validated using a questionnaire survey of current users of container transportation and structural equation modeling (SEM). The results suggest that security (SE) strongly effects on the perceived ease of use, attitude and behavioral intention (BI) to adopt the CSS. This implies that system operators should further enhance data security to increase the intention to adopt the CSS.

Suggested Citation

  • Chao, Shih-Liang & Lin, Pei-Shan, 2009. "Critical factors affecting the adoption of container security service: The shippers' perspective," International Journal of Production Economics, Elsevier, vol. 122(1), pages 67-77, November.
    • Handle: RePEc:eee:proeco:v:122:y:2009:i:1:p:67-77
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    References listed on IDEAS

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    1. Tzeng, Shiou-Fen & Chen, Wun-Hwa & Pai, Fan-Yun, 2008. "Evaluating the business value of RFID: Evidence from five case studies," International Journal of Production Economics, Elsevier, vol. 112(2), pages 601-613, April.
    2. Lu, Chin-Shan & Lai, Kee-hung & Cheng, T.C.E., 2007. "Application of structural equation modeling to evaluate the intention of shippers to use Internet services in liner shipping," European Journal of Operational Research, Elsevier, vol. 180(2), pages 845-867, July.
    3. Lee, Lorraine S. & Fiedler, Kirk D. & Smith, Jeffery S., 2008. "Radio frequency identification (RFID) implementation in the service sector: A customer-facing diffusion model," International Journal of Production Economics, Elsevier, vol. 112(2), pages 587-600, April.
    4. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
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    Cited by:

    1. Gansser, Oliver Alexander & Reich, Christina Stefanie, 2021. "A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application," Technology in Society, Elsevier, vol. 65(C).
    2. Yeo, Gi-Tae & Pak, Ji-Yeong & Yang, Zaili, 2013. "Analysis of dynamic effects on seaports adopting port security policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 285-301.
    3. Li, Ling, 2011. "Assessing the relational benefits of logistics services perceived by manufacturers in supply chain," International Journal of Production Economics, Elsevier, vol. 132(1), pages 58-67, July.
    4. Zeng, Fangli & Chan, Hing Kai & Pawar, Kulwant, 2020. "The adoption of open platform for container bookings in the maritime supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    5. Zeng, Fangli & Chan, Hing Kai & Pawar, Kulwant, 2021. "The effects of inter- and intraorganizational factors on the adoption of electronic booking systems in the maritime supply chain," International Journal of Production Economics, Elsevier, vol. 236(C).

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