IDEAS home Printed from https://ideas.repec.org/a/eee/transe/v185y2024ics1366554524001145.html
   My bibliography  Save this article

Technology-driven logistics and supply chain management for societal impacts

Author

Listed:
  • Sun, Xuting
  • Kuo, Yong-Hong
  • Xue, Weili
  • Li, Yanzhi

Abstract

In recent years, there has been substantial growth in the utilization of technologies within the logistics and transportation industries. This growth has resulted in the emergence of numerous novel and exciting applications, offering researchers valuable opportunities to develop innovative solutions. The field of operations management is well-positioned to contribute significantly to this development and promote socially responsible values. This paper investigates the impact of technology-driven logistics and supply chain management on various aspects of social values, categorized as technologies, platforms, and environmental, social, and governance (ESG) considerations. Additionally, it provides an introduction to the papers featured in this special issue. Lastly, the paper proposes future research directions to further advance the societal impacts of technologies in logistics and transportation applications.

Suggested Citation

  • Sun, Xuting & Kuo, Yong-Hong & Xue, Weili & Li, Yanzhi, 2024. "Technology-driven logistics and supply chain management for societal impacts," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
    • Handle: RePEc:eee:transe:v:185:y:2024:i:c:s1366554524001145
    DOI: 10.1016/j.tre.2024.103523
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1366554524001145
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tre.2024.103523?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lai, Kee-hung & Feng, Yunting & Zhu, Qinghua, 2023. "Digital transformation for green supply chain innovation in manufacturing operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    2. Long He & Sheng Liu & Zuo‐Jun Max Shen, 2022. "Smart urban transport and logistics: A business analytics perspective," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3771-3787, October.
    3. Garud Iyengar & Fahad Saleh & Jay Sethuraman & Wenjun Wang, 2023. "Economics of Permissioned Blockchain Adoption," Management Science, INFORMS, vol. 69(6), pages 3415-3436, June.
    4. Zhou, Yongyi & Zhang, Yulin & Wahab, M.I.M. & Goh, Mark, 2023. "Channel leadership and performance for a closed-loop supply chain considering competition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    5. Klöckner, Maximilian & Schmidt, Christoph G. & Fink, Alexander & Flückiger, Leonie & Wagner, Stephan M., 2023. "Exploring the physical–digital interface in blockchain applications: Insights from the luxury watch industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    6. Roy, Debjit & Nigam, Shobhit & de Koster, René & Adan, Ivo & Resing, Jacques, 2019. "Robot-storage zone assignment strategies in mobile fulfillment systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 119-142.
    7. Jan De Spiegeleer & Stephan Höcht & Daniel Jakubowski & Sofie Reyners & Wim Schoutens, 2023. "ESG: a new dimension in portfolio allocation," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 13(2), pages 827-867, April.
    8. Guo, Chaojie & Thompson, Russell G. & Foliente, Greg & Kong, Xiang T.R., 2021. "An auction-enabled collaborative routing mechanism for omnichannel on-demand logistics through transshipment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    9. Martin, Layla & Minner, Stefan, 2021. "Feature-based selection of carsharing relocation modes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    10. Fabian Lorson & Andreas Fügener & Alexander Hübner, 2023. "New team mates in the warehouse: Human interactions with automated and robotized systems," IISE Transactions, Taylor & Francis Journals, vol. 55(5), pages 536-553, May.
    11. Tiwari, Sunil & Sharma, Pankaj & Choi, Tsan-Ming & Lim, Andrew, 2023. "Blockchain and third-party logistics for global supply chain operations: Stakeholders’ perspectives and decision roadmap," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    12. Wei Qi & Lefei Li & Sheng Liu & Zuo-Jun Max Shen, 2018. "Shared Mobility for Last-Mile Delivery: Design, Operational Prescriptions, and Environmental Impact," Manufacturing & Service Operations Management, INFORMS, vol. 20(4), pages 737-751, October.
    13. Ho‐Yin Mak & Zuo‐Jun Max Shen, 2021. "When Triple‐A Supply Chains Meet Digitalization: The Case of JD.com's C2M Model," Production and Operations Management, Production and Operations Management Society, vol. 30(3), pages 656-665, March.
    14. Niu, Baozhuang & Dong, Jian & Liu, Yaoqi, 2021. "Incentive alignment for blockchain adoption in medicine supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    15. Cheung, Kam-Fung & Bell, Michael G.H. & Bhattacharjya, Jyotirmoyee, 2021. "Cybersecurity in logistics and supply chain management: An overview and future research directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    16. Choi, Tsan-Ming, 2019. "Blockchain-technology-supported platforms for diamond authentication and certification in luxury supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 17-29.
    17. Jiri Chod & Nikolaos Trichakis & Gerry Tsoukalas & Henry Aspegren & Mark Weber, 2020. "On the Financing Benefits of Supply Chain Transparency and Blockchain Adoption," Management Science, INFORMS, vol. 66(10), pages 4378-4396, October.
    18. Felix Weidinger & Nils Boysen & Dirk Briskorn, 2018. "Storage Assignment with Rack-Moving Mobile Robots in KIVA Warehouses," Service Science, INFORMS, vol. 52(6), pages 1479-1495, December.
    19. Govindan, Kannan & Gholizadeh, Hadi, 2021. "Robust network design for sustainable-resilient reverse logistics network using big data: A case study of end-of-life vehicles," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    20. John Gunnar Carlsson & Siyuan Song, 2018. "Coordinated Logistics with a Truck and a Drone," Management Science, INFORMS, vol. 64(9), pages 4052-4069, September.
    21. Luyi Gui & Christopher S. Tang & Shuya Yin, 2019. "Improving Microretailer and Consumer Welfare in Developing Economies: Replenishment Strategies and Market Entries," Service Science, INFORMS, vol. 21(1), pages 231-250, January.
    22. Piendl, Raphael & Matteis, Tilman & Liedtke, Gernot, 2019. "A machine learning approach for the operationalization of latent classes in a discrete shipment size choice model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 121(C), pages 149-161.
    23. Choi, Tsan-Ming & Luo, Suyuan, 2019. "Data quality challenges for sustainable fashion supply chain operations in emerging markets: Roles of blockchain, government sponsors and environment taxes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 139-152.
    24. Subodha Kumar & Rakesh R. Mallipeddi, 2022. "Impact of cybersecurity on operations and supply chain management: Emerging trends and future research directions," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4488-4500, December.
    25. Tang, Christopher S. & Veelenturf, Lucas P., 2019. "The strategic role of logistics in the industry 4.0 era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 1-11.
    26. Ding, Xiaohui & Chen, Caihua & Li, Chongshou & Lim, Andrew, 2021. "Product demand estimation for vending machines using video surveillance data: A group-lasso method," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 150(C).
    27. Hubert Pun & Jayashankar M. Swaminathan & Pengwen Hou, 2021. "Blockchain Adoption for Combating Deceptive Counterfeits," Production and Operations Management, Production and Operations Management Society, vol. 30(4), pages 864-882, April.
    28. Yong-Hong Kuo & Andrew Kusiak, 2019. "From data to big data in production research: the past and future trends," International Journal of Production Research, Taylor & Francis Journals, vol. 57(15-16), pages 4828-4853, August.
    29. Sina Mohri, Seyed & Ghaderi, Hadi & Nassir, Neema & Thompson, Russell G., 2023. "Crowdshipping for sustainable urban logistics: A systematic review of the literature," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 178(C).
    30. Tim Kraft & León Valdés & Yanchong Zheng, 2022. "Consumer trust in social responsibility communications: The role of supply chain visibility," Production and Operations Management, Production and Operations Management Society, vol. 31(11), pages 4113-4130, November.
    31. Meng, Mingyou & Deng, Shiming & Zhou, Pin & Xu, He, 2023. "The effects of subsidy programs in byproduct synergy operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    32. Mangla, Sachin Kumar & Kazancoglu, Yigit & Ekinci, Esra & Liu, Mengqi & Özbiltekin, Melisa & Sezer, Muruvvet Deniz, 2021. "Using system dynamics to analyze the societal impacts of blockchain technology in milk supply chainsrefer," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    33. Wong, Lai-Wan & Tan, Garry Wei-Han & Ooi, Keng-Boon & Chan, Hing Kai, 2024. "Blockchains for SMEs: A Fit-Viability perspective moderated by organizational innovation diffusion for supply chain performance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 182(C).
    34. Xu, Xiaoping & Yan, Luling & Choi, Tsan-Ming & Cheng, T.C.E., 2023. "When Is It Wise to Use Blockchain for Platform Operations with Remanufacturing?," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1073-1090.
    35. Zheng, Leven J. & Zhang, Justin Zuopeng & Kai Ming Au, Alan & Wang, Huan & Yang, Yifan, 2023. "Leveraging technology-driven applications to promote sustainability in the shipping industry: The impact of digitalization on corporate social responsibility," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 176(C).
    36. Tsan‐Ming Choi & Stein W. Wallace & Yulan Wang, 2018. "Big Data Analytics in Operations Management," Production and Operations Management, Production and Operations Management Society, vol. 27(10), pages 1868-1883, October.
    37. Niels Agatz & Paul Bouman & Marie Schmidt, 2018. "Optimization Approaches for the Traveling Salesman Problem with Drone," Transportation Science, INFORMS, vol. 52(4), pages 965-981, August.
    38. Yu, Bin & Guo, Zhen & Asian, Sobhan & Wang, Huaizhu & Chen, Gang, 2019. "Flight delay prediction for commercial air transport: A deep learning approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 203-221.
    39. Liu, Yulin & Liu, Yi & Hansen, Mark & Pozdnukhov, Alexey & Zhang, Danqing, 2019. "Using machine learning to analyze air traffic management actions: Ground delay program case study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 80-95.
    40. Amine Masmoudi, M. & Mancini, Simona & Baldacci, Roberto & Kuo, Yong-Hong, 2022. "Vehicle routing problems with drones equipped with multi-package payload compartments," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    41. Kumar, Mukesh & Raut, Rakesh D. & Mangla, Sachin Kumar & Chowdhury, Soumyadeb & Choubey, Vikas Kumar, 2024. "Moderating ESG compliance between industry 4.0 and green practices with green servitization: Examining its impact on green supply chain performance," Technovation, Elsevier, vol. 129(C).
    42. Li, Feng & Du, Timon C. & Wei, Ying, 2021. "With whom should I work? Ratings consideration for partner selection in a P2P supply chain network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    43. Lin, Meiyan & Ma, Lijun & Ying, Chengshuo, 2021. "Matching daily home health-care demands with supply in service-sharing platforms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    44. Sun, Yige & Chung, Sai-Ho & Wen, Xin & Ma, Hoi-Lam, 2021. "Novel robotic job-shop scheduling models with deadlock and robot movement considerations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    45. Fu, Hong & Ke, Ginger Y. & Lian, Zhaotong & Zhang, Lianmin, 2021. "3PL firm’s equity financing for technology innovation in a platform supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
    46. Herrema, Floris & Curran, Ricky & Hartjes, Sander & Ellejmi, Mohamed & Bancroft, Steven & Schultz, Michael, 2019. "A machine learning model to predict runway exit at Vienna airport," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 329-342.
    47. Soo-Haeng Cho & Xin Fang & Sridhar Tayur & Ying Xu, 2019. "Combating Child Labor: Incentives and Information Disclosure in Global Supply Chains," Manufacturing & Service Operations Management, INFORMS, vol. 21(3), pages 692-711, July.
    48. Weidinger, Felix & Boysen, Nils & Briskorn, Dirk, 2018. "Storage Assignment with Rack-Moving Mobile Robots in KIVA Warehouses," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 126190, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    49. Yuan, Quan & Hua, Zhongsheng & Shen, Bin, 2021. "An automated system of emissions permit trading for transportation firms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    50. Kaveh Azadeh & Debjit Roy & René De Koster, 2019. "Design, Modeling, and Analysis of Vertical Robotic Storage and Retrieval Systems," Transportation Science, INFORMS, vol. 53(5), pages 1213-1234, September.
    51. Choi, Tsan-Ming & Wen, Xin & Sun, Xuting & Chung, Sai-Ho, 2019. "The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 178-191.
    52. Gerhard Halbritter & Gregor Dorfleitner, 2015. "The wages of social responsibility — where are they? A critical review of ESG investing," Review of Financial Economics, John Wiley & Sons, vol. 26(1), pages 25-35, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Manman & Yang, Feng & Shan, Feifei & Guo, Yu, 2024. "Blockchain adoption for combating remanufacturing perceived risks in a reverse supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
    2. Davies, Jennifer & Sharifi, Hossein & Lyons, Andrew & Forster, Rick & Elsayed, Omar Khaled Shokry Mohamed, 2024. "Non-fungible tokens: The missing ingredient for sustainable supply chains in the metaverse age?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 182(C).
    3. Cao, Yu & Yi, Chaoqun & Wan, Guangyu & Hu, Hanli & Li, Qingsong & Wang, Shouyang, 2022. "An analysis on the role of blockchain-based platforms in agricultural supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    4. Zhang, Tianyu & Dong, Peiwu & Chen, Xiangfeng & Gong, Yu, 2023. "The impacts of blockchain adoption on a dual-channel supply chain with risk-averse members," Omega, Elsevier, vol. 114(C).
    5. Li, Zhiwen & Xu, Xianhao & Bai, Qingguo & Chen, Cheng & Wang, Hongwei & Xia, Peng, 2023. "Implications of information sharing on blockchain adoption in reducing carbon emissions: A mean–variance analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 178(C).
    6. Dutta, Pankaj & Choi, Tsan-Ming & Somani, Surabhi & Butala, Richa, 2020. "Blockchain technology in supply chain operations: Applications, challenges and research opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    7. Cheung, Kam-Fung & Bell, Michael G.H. & Bhattacharjya, Jyotirmoyee, 2021. "Cybersecurity in logistics and supply chain management: An overview and future research directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    8. Luo, Suyuan & Lin, Xudong & Zheng, Zunxin, 2019. "A novel CNN-DDPG based AI-trader: Performance and roles in business operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 68-79.
    9. Liu, Shuai & Hua, Guowei & Kang, Yuxuan & Edwin Cheng, T.C. & Xu, Yadong, 2022. "What value does blockchain bring to the imported fresh food supply chain?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 165(C).
    10. Wang, Minxue & Li, Bo & Song, Dongping, 2024. "The impact of blockchain on restricting the misuse of green loans in a capital-constrained supply chain," European Journal of Operational Research, Elsevier, vol. 314(3), pages 980-996.
    11. Li, Qingying & Ma, Manqiong & Shi, Tianqin & Zhu, Chen, 2022. "Green investment in a sustainable supply chain: The role of blockchain and fairness," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).
    12. Li, Zhiwen & Xu, Xianhao & Bai, Qingguo & Guan, Xu & Zeng, Kuan, 2021. "The interplay between blockchain adoption and channel selection in combating counterfeits," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    13. Khan, Waqar Ahmed & Ma, Hoi-Lam & Ouyang, Xu & Mo, Daniel Y., 2021. "Prediction of aircraft trajectory and the associated fuel consumption using covariance bidirectional extreme learning machines," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    14. Choi, Tsan-Ming & Guo, Shu & Luo, Suyuan, 2020. "When blockchain meets social-media: Will the result benefit social media analytics for supply chain operations management?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 135(C).
    15. Liu, Samuel Shuai & Hua, Guowei & Ma, Benedict Jun & Cheng, T.C.E., 2023. "Competition between green and non-green products in the blockchain era," International Journal of Production Economics, Elsevier, vol. 264(C).
    16. Tianjian Yang & Chunmei Li & Xiongping Yue & Beibei Zhang, 2022. "Decisions for Blockchain Adoption and Information Sharing in a Low Carbon Supply Chain," Mathematics, MDPI, vol. 10(13), pages 1-23, June.
    17. Xu, Xiaoping & Choi, Tsan-Ming, 2021. "Supply chain operations with online platforms under the cap-and-trade regulation: Impacts of using blockchain technology," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    18. Xu, Xiaoping & Yan, Luling & Choi, Tsan-Ming & Cheng, T.C.E., 2023. "When Is It Wise to Use Blockchain for Platform Operations with Remanufacturing?," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1073-1090.
    19. Tsan‐Ming Choi & Subodha Kumar & Xiaohang Yue & Hau‐Ling Chan, 2022. "Disruptive Technologies and Operations Management in the Industry 4.0 Era and Beyond," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 9-31, January.
    20. Fink, Alexander A. & Klöckner, Maximilian & Räder, Tobias & Wagner, Stephan M., 2022. "Supply chain management accelerators: Types, objectives, and key design features," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transe:v:185:y:2024:i:c:s1366554524001145. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.