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    题名: 最後一哩路無人機物流之可能使用抵制因素之探究
    Investigating Resistance Factors in Last-mile Drone Delivery
    作者: 陳靖汝
    CHEN, CHING-JU
    贡献者: 杜雨儒
    TU, YU-JU
    陳靖汝
    CHEN, CHING-JU
    关键词: 創新擴散理論
    公平理論
    使用者抗拒
    最後一哩路無人機運送
    Diffusion of Innovations Theory
    Equity Theory
    Resistance
    Last-mile drone delivery
    日期: 2024
    上传时间: 2024-09-04 14:02:18 (UTC+8)
    摘要: 近年來無人機應用於不同場景中,無人機服務日益普及化,同時不同國家也 開始採用無人機進行最後一哩路的配送。
    本論文減輕使用無人機進行最後一哩路配送的普遍使用者抗拒方面的新興 研究空白。我們認為其程式代碼、包裹物品和通信信號相關的風險是顯著的使用 者抗拒原因。本論文的理論基礎包括創新擴散理論(DIT)和公平理論(ET)。本 論文的方法論基於一個結構化的實驗,讓實驗參與者體驗無人機和配送場景,隨 後進行數據收集和統計分析。總體而言,本文有助於提高對最後一哩路無人機配 送的普遍滿意度,並且降低使用者抗拒的心理。
    This paper aims to fill an emerging research gap in alleviating general resistance to using drones in last-mile delivery. The risks that pertain to its program codes, package objects, and communication signals are what we identify and propose to be the significant resistance reasons. Our theoretical basis includes Diffusion of Innovations Theory (DIT) and Equity Theory (ET). Our methodological approach is based on a structured experiment where there are drones and delivery scenarios for our experimental participants to experience, followed by data collection and statistical analysis. Overall, this paper contributes to enhancing general satisfaction with last-mile drone delivery.
    參考文獻: Albalawi, M., & Song, H. (2019). Data security and privacy issues in swarms of
    drones. Paper presented at the 2019 Integrated Communications, Navigation and
    Surveillance Conference (ICNS).
    Ali, M., Zhou, L., Miller, L., & Ieromonachou, P. (2016). User resistance in IT: A
    literature review. International Journal of Information Management, 36(1), 35-
    43.
    Altawy, R., & Youssef, A. M. (2016). Security, privacy, and safety aspects of civilian
    drones: A survey. ACM Transactions on Cyber-Physical Systems, 1(2), 1-25.
    Aurambout, J.-P., Gkoumas, K., & Ciuffo, B. (2019). Last mile delivery by drones:
    An estimation of viable market potential and access to citizens across European
    cities. European Transport Research Review, 11(1), 1-21.
    Ayamga, M., Akaba, S., & Nyaaba, A. A. (2021). Multifaceted applicability of drones:
    A review. Technological Forecasting and Social Change, 167, 120677.
    Bajracharya, R., Shrestha, R., Kim, S., & Jung, H. (2022). 6G NR-U based wireless
    infrastructure UAV: Standardization, opportunities, challenges and future scopes.
    IEEE Access, 10, 30536-30555.
    Balestrieri, E., Daponte, P., De Vito, L., Picariello, F., & Tudosa, I. (2021). Sensors
    and measurements for UAV safety: An overview. Sensors, 21(24), 8253.
    Bauer, D. J., Sterba, S. K., & Hallfors, D. D. (2008). Evaluating group-based
    interventions when control participants are ungrouped. Multivariate behavioral
    research, 43(2), 210-236.
    Boysen, N., Fedtke, S., & Schwerdfeger, S. (2021). Last-mile delivery concepts: a
    survey from an operational research perspective. Or Spectrum, 43, 1-58.
    Clarke, R. (2016). Appropriate regulatory responses to the drone epidemic. Computer
    Law & Security Review, 32(1), 152-155.
    Crook, J. (2013). Infamous Hacker Creates SkyJack To Hunt, Hack, And Control
    Other Drones.
    Dayarian, I., Savelsbergh, M., & Clarke, J.-P. (2020). Same-day delivery with drone
    resupply. Transportation Science, 54(1), 229-249.
    42
    Doole, M., Ellerbroek, J., & Hoekstra, J. (2020). Estimation of traffic density from
    drone-based delivery in very low level urban airspace. Journal of Air Transport
    Management, 88, 101862.
    Drèze, J., & Stern, N. (1987). The theory of cost-benefit analysis Handbook of public
    economics (Vol. 2, pp. 909-989): Elsevier.
    Duffy, J. P., Cunliffe, A. M., DeBell, L., Sandbrook, C., Wich, S. A., Shutler, J. D., . . .
    Anderson, K. (2018). Location, location, location: considerations when using
    lightweight drones in challenging environments. Remote Sensing in Ecology and
    Conservation, 4(1), 7-19.
    Esper, T. L., Jensen, T. D., Turnipseed, F. L., & Burton, S. (2003). The last mile: an
    examination of effects of online retail delivery strategies on consumers. Journal
    of Business logistics, 24(2), 177-203.
    Feng, Z., Guan, N., Lv, M., Liu, W., Deng, Q., Liu, X., & Yi, W. (2020). Efficient
    drone hijacking detection using two-step GA-XGBoost. Journal of Systems
    Architecture, 103, 101694.
    Giray, S. M. (2013). Anatomy of unmanned aerial vehicle hijacking with signal
    spoofing. Paper presented at the 2013 6th International Conference on Recent
    Advances in Space Technologies (RAST).
    Hartmann, K., & Steup, C. (2013). The vulnerability of UAVs to cyber attacks-An
    approach to the risk assessment. Paper presented at the 2013 5th international
    conference on cyber conflict (CYCON 2013).
    He, D., Chan, S., & Guizani, M. (2016). Communication security of unmanned aerial
    vehicles. IEEE Wireless Communications, 24(4), 134-139.
    Huang, T. K. (2018). How to lessen the effects of user resistance on the adoption of an
    e-learning environment: screenshot annotation on Flickr. Interactive Learning
    Environments, 26(4), 506-524.
    Hübner, A. H., Kuhn, H., & Wollenburg, J. (2016). Last mile fulfilment and
    distribution in omni-channel grocery retailing: a strategic planning framework.
    International Journal of Retail & Distribution Management, 44(3).
    Jawhar, I., Mohamed, N., Al-Jaroodi, J., Agrawal, D. P., & Zhang, S. (2017).
    Communication and networking of UAV-based systems: Classification and
    associated architectures. Journal of Network and Computer Applications, 84, 93-
    108.
    43
    Jones, T. (2017). International commercial drone regulation and drone delivery
    services: RAND Santa Monica, CA, USA.
    Joshi, K. (1991). A model of users' perspective on change: the case of information
    systems technology implementation. MIS Quarterly, 229-242.
    Kazman, R., Asundi, J., & Klein, M. (2001). Quantifying the costs and benefits of
    architectural decisions. Paper presented at the Proceedings of the 23rd
    International Conference on Software Engineering. ICSE 2001.
    Keen, C. C., Liang, C. H., & Sham, R. (2022). The effectiveness of parcel locker that
    affects the delivery options among online shoppers in Kuala Lumpur, Malaysia.
    International Journal of Logistics Systems and Management, 41(4), 485-502.
    Khaitan, S. K., & McCalley, J. D. (2014). Design techniques and applications of
    cyberphysical systems: A survey. IEEE systems journal, 9(2), 350-365.
    Klopping, I. M., & McKinney, E. (2004). Extending the technology acceptance model
    and the task-technology fit model to consumer e-commerce. Information
    Technology, Learning & Performance Journal, 22(1).
    Kumari, A., Gupta, R., Tanwar, S., & Kumar, N. (2020). A taxonomy of blockchain-
    enabled softwarization for secure UAV network. Computer Communications,
    161, 304-323.
    Lal Das, J., & Fianu, V. D. (2018). Last mile delivery dilemma in e-commerce.
    Liang, Y., & Lee, S. A. (2017). Fear of autonomous robots and artificial intelligence:
    Evidence from national representative data with probability sampling.
    International Journal of Social Robotics, 9, 379-384.
    Luppicini, R., & So, A. (2016). A technoethical review of commercial drone use in the
    context of governance, ethics, and privacy. Technology in Society, 46, 109-119.
    Mangiaracina, R., Perego, A., Seghezzi, A., & Tumino, A. (2019). Innovative
    solutions to increase last-mile delivery efficiency in B2C e-commerce: a
    literature review. International Journal of Physical Distribution & Logistics
    Management, 49(9), 901-920.
    Mani, Z., & Chouk, I. (2017). Drivers of consumers’ resistance to smart products.
    Journal of Marketing Management, 33(1-2), 76-97.
    44
    Merkert, R., Bliemer, M. C., & Fayyaz, M. (2022). Consumer preferences for
    innovative and traditional last-mile parcel delivery. International Journal of
    Physical Distribution & Logistics Management, 52(3), 261-284.
    Mollah, M. B., Azad, M. A. K., & Vasilakos, A. (2017). Security and privacy
    challenges in mobile cloud computing: Survey and way ahead. Journal of
    Network and Computer Applications, 84, 38-54.
    Pritchard, R. D. (1969). Equity theory: A review and critique. Organizational
    behavior and human performance, 4(2), 176-211.
    Rao, B., Gopi, A. G., & Maione, R. (2016). The societal impact of commercial
    drones. Technology in Society, 45, 83-90.
    Rogers, E. (2003). Diffusion of Innovations 5th: Free Press.
    Rogers, E. M. (1976). New product adoption and diffusion. Journal of consumer
    Research, 2(4), 290-301.
    Rogers, E. M. (2010). Diffusion of innovations: Simon and Schuster.
    Rugo, A., Ardagna, C. A., & Ioini, N. E. (2022). A security review in the UAVNet era:
    threats, countermeasures, and gap analysis. ACM Computing Surveys (CSUR),
    55(1), 1-35.
    Sahin, I. (2006). Detailed review of Rogers' diffusion of innovations theory and
    educational technology-related studies based on Rogers' theory. Turkish Online
    Journal of Educational Technology-TOJET, 5(2), 14-23.
    Shakhatreh, H., Sawalmeh, A. H., Al-Fuqaha, A., Dou, Z., Almaita, E., Khalil, I., . . .
    Guizani, M. (2019). Unmanned aerial vehicles (UAVs): A survey on civil
    applications and key research challenges. IEEE Access, 7, 48572-48634.
    Sorooshian, S., Khademi Sharifabad, S., Parsaee, M., & Afshari, A. R. (2022). Toward
    a modern last-mile delivery: Consequences and obstacles of intelligent
    technology. Applied System Innovation, 5(4), 82.
    Talke, K., & Heidenreich, S. (2014). How to overcome pro‐change bias: incorporating
    passive and active innovation resistance in innovation decision models. Journal
    of Product Innovation Management, 31(5), 894-907.
    Tu, Y.-J., & Piramuthu, S. (2023). Security and privacy risks in drone-based last mile
    delivery. European Journal of Information Systems, 1-14.
    45
    Valle, P., Arrieta, A., & Arratibel, M. (2023). Automated Misconfiguration Repair of
    Configurable Cyber-Physical Systems with Search: an Industrial Case Study on
    Elevator Dispatching Algorithms. arXiv preprint arXiv:2301.01487.
    Washington, A. N. (2018). A survey of drone use for socially relevant problems:
    Lessons from Africa. African Journal Of Computing & ICT, 11(3), 1-11.
    描述: 碩士
    國立政治大學
    資訊管理學系
    111356001
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0111356001
    数据类型: thesis
    显示于类别:[資訊管理學系] 學位論文

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