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A fuzzy Delphi-AHP-TOPSIS framework to identify barriers in big data analytics adoption: case of maritime organizations

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  • Xiunian Zhang
  • Jasmine Siu Lee Lam

Abstract

Big data analytics has prospered in recent years and has triggered revolutionary changes in various industries. However, its adoption in maritime organizations is relatively lagged and there is no study addressing this phenomenon so far. This paper develops a fuzzy Delphi-AHP-TOPSIS framework to identify barriers in emerging technology adoption. A case study employs this framework to investigate the hurdles for big data analytics to be adopted in the maritime industry. The case study shows that the framework is useful in identifying and ranking barriers. The results unveil the most serious managerial, cultural, and technical barriers that impede the adoption of big data analytics in maritime organizations.

Suggested Citation

  • Xiunian Zhang & Jasmine Siu Lee Lam, 2019. "A fuzzy Delphi-AHP-TOPSIS framework to identify barriers in big data analytics adoption: case of maritime organizations," Maritime Policy & Management, Taylor & Francis Journals, vol. 46(7), pages 781-801, October.
    • Handle: RePEc:taf:marpmg:v:46:y:2019:i:7:p:781-801
    DOI: 10.1080/03088839.2019.1628318
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    Citations

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    Cited by:

    1. Vishal Kashav & Chandra Prakash Garg & Rupesh Kumar, 2023. "Ranking the strategies to overcome the barriers of the maritime supply chain (MSC) of containerized freight under fuzzy environment," Annals of Operations Research, Springer, vol. 324(1), pages 1223-1268, May.
    2. Li, Kevin X. & Lin, Kun-Chin & Jin, Mengjie & Yuen, Kum Fai & Yang, Zhongzhen & Xiao, Yi, 2020. "Impact of the belt and road initiative on commercial maritime power," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 160-167.
    3. Sedat Baştuğ & Hercules Haralambides & Soner Esmer & Enes Eminoğlu, 2021. "Port competitiveness: Do container terminal operators and liner shipping companies see eye to eye?," Post-Print hal-04046233, HAL.
    4. Sheng-Che Lin & Hsien-Kuo Chang & Ying-Feng Chung, 2022. "Exploring the Impact of Different Port Governances on Smart Port Development Strategy in Taiwan and Spain," Sustainability, MDPI, vol. 14(15), pages 1-21, July.
    5. Yang, Zhisen & Wan, Chengpeng & Yang, Zaili & Yu, Qing, 2021. "Using Bayesian network-based TOPSIS to aid dynamic port state control detention risk control decision," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    6. Ruchi Mishra & Rajesh Kr Singh & Venkatesh Mani, 2023. "A hybrid multi criteria decision-making framework to facilitate omnichannel adoption in logistics: an empirical case study," Annals of Operations Research, Springer, vol. 326(2), pages 685-719, July.
    7. Zhao, Guoqing & Xie, Xiaotian & Wang, Yi & Liu, Shaofeng & Jones, Paul & Lopez, Carmen, 2024. "Barrier analysis to improve big data analytics capability of the maritime industry: A mixed-method approach," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    8. Hristos Karahalios, 2021. "Contribution of PSC Authorities to Ship Accident Prevention," SN Operations Research Forum, Springer, vol. 2(1), pages 1-18, March.

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