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Identifying Key Factors for Introducing GPS-Based Fleet Management Systems to the Logistics Industry

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  • Yi-Chung Hu
  • Yu-Jing Chiu
  • Chung-Sheng Hsu
  • Yu-Ying Chang

Abstract

The rise of e-commerce and globalization has changed consumption patterns. Different industries have different logistical needs. In meeting needs with different schedules logistics play a key role. Delivering a seamless service becomes a source of competitive advantage for the logistics industry. Global positioning system-based fleet management system technology provides synergy to transport companies and achieves many management goals such as monitoring and tracking commodity distribution, energy saving, safety, and quality. A case company, which is a subsidiary of a very famous food and retail conglomerate and operates the largest shipping line in Taiwan, has suffered from the nonsmooth introduction of GPS-based fleet management systems in recent years. Therefore, this study aims to identify key factors for introducing related systems to the case company. By using DEMATEL and ANP, we can find not only key factors but also causes and effects among key factors. The results showed that support from executives was the most important criterion but it has the worst performance among key factors. It is found that adequate annual budget planning, enhancement of user intention, and collaboration with consultants with high specialty could be helpful to enhance the faith of top executives for successfully introducing the systems to the case company.

Suggested Citation

  • Yi-Chung Hu & Yu-Jing Chiu & Chung-Sheng Hsu & Yu-Ying Chang, 2015. "Identifying Key Factors for Introducing GPS-Based Fleet Management Systems to the Logistics Industry," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-14, September.
    • Handle: RePEc:hin:jnlmpe:413203
    DOI: 10.1155/2015/413203
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    Cited by:

    1. Weiwei Zhou & Li-Yu Chen & Rung-Jiun Chou, 2021. "Important Factors Affecting Rural Tourists’ Aesthetic Experience: A Case Study of Zoumatang Village in Ningbo," Sustainability, MDPI, vol. 13(14), pages 1-24, July.
    2. Yu-Jing Chiu & Yi-Chung Hu & Chia-Yin Yao & Chia-Hung Yeh, 2022. "Identifying Key Risk Factors in Product Development Projects," Mathematics, MDPI, vol. 10(8), pages 1-20, April.
    3. Hsu-Lin Chen & Yi-Chung Hu & Ming-Yen Lee, 2021. "Evaluating Appointment of Division Managers Using Fuzzy Multiple Attribute Decision Making," Mathematics, MDPI, vol. 9(19), pages 1-24, September.
    4. Na Yu & Yi-Ting Huang, 2020. "Important Factors Affecting User Experience Design and Satisfaction of a Mobile Health App—A Case Study of Daily Yoga App," IJERPH, MDPI, vol. 17(19), pages 1-16, September.
    5. Mubarik, Muhammad Shujaat & Kazmi, Syed Hasnain Alam & Zaman, Syed Imran, 2021. "Application of gray DEMATEL-ANP in green-strategic sourcing," Technology in Society, Elsevier, vol. 64(C).
    6. Lei-Yi Peng & Jia Lu & Jian-Ji Luo & Yu-Xuan Wang, 2022. "A Combination of FDM, DEMATEL, and DANP for Disclosing the Interrelationship of Influencing Factors in Rural Homestay Business: Empirical Evidence from China," Sustainability, MDPI, vol. 14(16), pages 1-21, August.
    7. Jiajian Huang & Longfei Li & Peng Jiang & Siqi Zhang, 2024. "DEMATEL-Based ANP Model for Identifying Critical Indicators in Sustainable Emergency Material Reserve Systems," Sustainability, MDPI, vol. 16(12), pages 1-25, June.
    8. Jung-Fa Tsai & Chin-Po Wang & Ming-Hua Lin & Shih-Wei Huang, 2021. "Analysis of Key Factors for Supplier Selection in Taiwan’s Thin-Film Transistor Liquid-Crystal Displays Industry," Mathematics, MDPI, vol. 9(4), pages 1-18, February.

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