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題名 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貢獻者 杜雨儒
TU, YU-JU
陳靖汝
CHEN, CHING-JU關鍵詞 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 上傳時間 4-九月-2024 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 資料類型 thesis dc.contributor.advisor 杜雨儒 zh_TW dc.contributor.advisor TU, YU-JU en_US dc.contributor.author (作者) 陳靖汝 zh_TW dc.contributor.author (作者) CHEN, CHING-JU en_US dc.creator (作者) 陳靖汝 zh_TW dc.creator (作者) CHEN, CHING-JU en_US dc.date (日期) 2024 en_US dc.date.accessioned 4-九月-2024 14:02:18 (UTC+8) - dc.date.available 4-九月-2024 14:02:18 (UTC+8) - dc.date.issued (上傳時間) 4-九月-2024 14:02:18 (UTC+8) - dc.identifier (其他 識別碼) G0111356001 en_US dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/153143 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 資訊管理學系 zh_TW dc.description (描述) 111356001 zh_TW dc.description.abstract (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。 zh_TW dc.description.abstract (摘要) 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. en_US dc.description.tableofcontents CHAPTER 1: Introduction 1 Background 1 1.1.1 Last-mile Delivery 1 1.1.2 Drone Background 2 1.2 Problem Discussion and Research Question 3 1.3 Expected Contribution 4 CHAPTER 2: Literature Review 6 2.1 Last-Mile Delivery Challenges and Practices 6 2.2 Technology solution in last-mile delivery 7 2.3 User Roadmap of Technology Adoption 8 2.3.1 Diffusion of Innovations Theory 8 2.3.2 User Resistance 10 2.3.3 Cost-benefit Analysis 12 2.4 Risk of Last-mile Delivery 13 CHAPTER 3: Research Methodology 18 3.1 Experiment Steps 19 3.2 Experiment Design 19 3.2.1 Experimental Design and Procedure 19 3.2.2 Application Design 23 3.3 Participants 24 CHAPTER 4: Research Findings 25 4.1 Data Analysis 25 4.4.1 Data Description 25 4.4.2 Result Analysis 26 4.2 Summary of Result 31 4.3 Demographic Description 31 CHAPTER 5: Discussions 34 5.1 Key Findings 34 5.2 Theoretical Implications 35 5.3 Practical Implications 36 5.4 Limitations and Future Research Opportunities 38 CHAPTER 6: Conclusions 40 Reference 41 Appendix 46 zh_TW dc.format.extent 1756644 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0111356001 en_US dc.subject (關鍵詞) 創新擴散理論 zh_TW dc.subject (關鍵詞) 公平理論 zh_TW dc.subject (關鍵詞) 使用者抗拒 zh_TW dc.subject (關鍵詞) 最後一哩路無人機運送 zh_TW dc.subject (關鍵詞) Diffusion of Innovations Theory en_US dc.subject (關鍵詞) Equity Theory en_US dc.subject (關鍵詞) Resistance en_US dc.subject (關鍵詞) Last-mile drone delivery en_US dc.title (題名) 最後一哩路無人機物流之可能使用抵制因素之探究 zh_TW dc.title (題名) Investigating Resistance Factors in Last-mile Drone Delivery en_US dc.type (資料類型) thesis en_US dc.relation.reference (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. zh_TW
