IDEAS home Printed from https://ideas.repec.org/a/eee/transe/v192y2024ics1366554524003521.html

Generative AI usage and sustainable supply chain performance: A practice-based view

Author

Listed:
  • Li, Lixu
  • Zhu, Wenwen
  • Chen, Lujie
  • Liu, Yaoqi

Abstract

The emergence of generative AI presents numerous potential solutions to address challenges in sustainable supply chain management (SCM). However, not all firms can effectively master the methods of using generative AI and realize potential benefits. To address this dilemma, we adopt a practice-based view (PBV) to examine generative AI usage’s effect on sustainable supply chain performance (SSCP). Analyzing survey data from 213 Chinese manufacturing firms, we identify a positive relationship between generative AI usage and SSCP. Moreover, two types of sustainable supply chain practices—green supply chain collaboration (GSCC) and circular economy implementation (CEI)——emerge as serial mediators connecting this relationship. We contribute to existing AI-enabled SCM research by elucidating the potential mediation mechanisms underlying the link between generative AI usage and SSCP. We also offer insightful implications for firms adapting to new norms in global SCM.

Suggested Citation

  • Li, Lixu & Zhu, Wenwen & Chen, Lujie & Liu, Yaoqi, 2024. "Generative AI usage and sustainable supply chain performance: A practice-based view," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 192(C).
    • Handle: RePEc:eee:transe:v:192:y:2024:i:c:s1366554524003521
    DOI: 10.1016/j.tre.2024.103761
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1366554524003521
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tre.2024.103761?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Scruggs, Caroline E. & Nimpuno, Nardono & Moore, Rachel B.B., 2016. "Improving information flow on chemicals in electronic products and E-waste to minimize negative consequences for health and the environment," Resources, Conservation & Recycling, Elsevier, vol. 113(C), pages 149-164.
    2. Dubey, Rameshwar & Gunasekaran, Angappa & Papadopoulos, Thanos, 2024. "Benchmarking operations and supply chain management practices using Generative AI: Towards a theoretical framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 189(C).
    3. Pournader, Mehrdokht & Ghaderi, Hadi & Hassanzadegan, Amir & Fahimnia, Behnam, 2021. "Artificial intelligence applications in supply chain management," International Journal of Production Economics, Elsevier, vol. 241(C).
    4. Dey, Prasanta Kumar & Malesios, Chrysovalantis & Chowdhury, Soumyadeb & Saha, Krishnendu & Budhwar, Pawan & De, Debashree, 2022. "Adoption of circular economy practices in small and medium-sized enterprises: Evidence from Europe," International Journal of Production Economics, Elsevier, vol. 248(C).
    5. Gupta, Shivam & Modgil, Sachin & Choi, Tsan-Ming & Kumar, Ajay & Antony, Jiju, 2023. "Influences of artificial intelligence and blockchain technology on financial resilience of supply chains," International Journal of Production Economics, Elsevier, vol. 261(C).
    6. Femi Olan & Shaofeng Liu & Jana Suklan & Uchitha Jayawickrama & Emmanuel Ogiemwonyi Arakpogun, 2022. "The role of Artificial Intelligence networks in sustainable supply chain finance for food and drink industry," International Journal of Production Research, Taylor & Francis Journals, vol. 60(14), pages 4418-4433, July.
    7. Benzidia, Smail & Makaoui, Naouel & Bentahar, Omar, 2021. "The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    8. Kirti Nayal & Rakesh D. Raut & Vinay Surendra Yadav & Pragati Priyadarshinee & Balkrishna E. Narkhede, 2022. "RETRACTED: The impact of sustainable development strategy on sustainable supply chain firm performance in the digital transformation era," Business Strategy and the Environment, Wiley Blackwell, vol. 31(3), pages 845-859, March.
    9. Bhattacharya, Sourabh & Govindan, Kannan & Ghosh Dastidar, Surajit & Sharma, Preeti, 2024. "Applications of artificial intelligence in closed-loop supply chains: Systematic literature review and future research agenda," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 184(C).
    10. Raut, Rakesh D. & Mangla, Sachin Kumar & Narwane, Vaibhav S. & Dora, Manoj & Liu, Mengqi, 2021. "Big Data Analytics as a mediator in Lean, Agile, Resilient, and Green (LARG) practices effects on sustainable supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    11. Bag, Surajit & Rahman, Muhammad Sabbir & Srivastava, Gautam & Shore, Adam & Ram, Pratibha, 2023. "Examining the role of virtue ethics and big data in enhancing viable, sustainable, and digital supply chain performance," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
    12. Yousefi, Samuel & Mohamadpour Tosarkani, Babak, 2022. "An analytical approach for evaluating the impact of blockchain technology on sustainable supply chain performance," International Journal of Production Economics, Elsevier, vol. 246(C).
    13. Edson Kuzma & Simone Sehnem, 2023. "Proposition of a structural model for business value creation based on circular business models, innovation, and resource recovery in the pet industry," Business Strategy and the Environment, Wiley Blackwell, vol. 32(1), pages 516-537, January.
    14. T. C. Edwin Cheng & Sachin S. Kamble & Amine Belhadi & Nelson Oly Ndubisi & Kee-hung Lai & Manoj Govind Kharat, 2022. "Linkages between big data analytics, circular economy, sustainable supply chain flexibility, and sustainable performance in manufacturing firms," International Journal of Production Research, Taylor & Francis Journals, vol. 60(22), pages 6908-6922, November.
    15. Kristoffersen, Eivind & Mikalef, Patrick & Blomsma, Fenna & Li, Jingyue, 2021. "The effects of business analytics capability on circular economy implementation, resource orchestration capability, and firm performance," International Journal of Production Economics, Elsevier, vol. 239(C).
    16. Ilya Jackson & Dmitry Ivanov & Alexandre Dolgui & Jafar Namdar, 2024. "Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation," International Journal of Production Research, Taylor & Francis Journals, vol. 62(17), pages 6120-6145, September.
    17. Zhou, Yu & Yan, Shuangqi & Li, Gendao & Xiong, Yu & Lin, Zhibin, 2023. "The impact of consumer skepticism on blockchain-enabled sustainability disclosure in a supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    18. Qinglan Liu & Adriana Hofmann Trevisan & Miying Yang & Janaina Mascarenhas, 2022. "A framework of digital technologies for the circular economy: Digital functions and mechanisms," Business Strategy and the Environment, Wiley Blackwell, vol. 31(5), pages 2171-2192, July.
    19. Yang, Chung-Shan & Lu, Chin-Shan & Haider, Jane Jing & Marlow, Peter Bernard, 2013. "The effect of green supply chain management on green performance and firm competitiveness in the context of container shipping in Taiwan," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 55(C), pages 55-73.
    20. Lara Schilling & Stefan Seuring, 2024. "Linking the digital and sustainable transformation with supply chain practices," International Journal of Production Research, Taylor & Francis Journals, vol. 62(3), pages 949-973, February.
    21. Birger Wernerfelt, 1984. "A resource‐based view of the firm," Strategic Management Journal, Wiley Blackwell, vol. 5(2), pages 171-180, April.
    22. Li, Chia-Ying & Fang, Yu-Hui & Chiang, Yu-Hung, 2023. "Can AI chatbots help retain customers? An integrative perspective using affordance theory and service-domain logic," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    23. Tian, Meng & Chen, Yang & Tian, Guanghao & Huang, Wei & Hu, Chuan, 2023. "The role of digital transformation practices in the operations improvement in manufacturing firms: A practice-based view," International Journal of Production Economics, Elsevier, vol. 262(C).
    24. Xu, Xiaoyan & Chung, Sai-Ho & Lo, Chris K.Y. & Yeung, Andy C.L., 2022. "Sustainable supply chain management with NGOs, NPOs, and charity organizations: A systematic review and research agenda," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    25. Abou-Foul, Mohamad & Ruiz-Alba, Jose L. & López-Tenorio, Pablo J., 2023. "The impact of artificial intelligence capabilities on servitization: The moderating role of absorptive capacity-A dynamic capabilities perspective," Journal of Business Research, Elsevier, vol. 157(C).
    26. Shivam Gupta & Sachin Modgil & Tsan-Ming Choi & Ajay Kumar & Jiju Antony, 2023. "Influences of artificial intelligence and blockchain technology on financial resilience of supply chains," Post-Print hal-04325728, HAL.
    27. Kirti Nayal & Shashank Kumar & Rakesh D. Raut & Maciel M. Queiroz & Pragati Priyadarshinee & Balkrishna E. Narkhede, 2022. "Supply chain firm performance in circular economy and digital era to achieve sustainable development goals," Business Strategy and the Environment, Wiley Blackwell, vol. 31(3), pages 1058-1073, March.
    28. K. T. Shibin & Rameshwar Dubey & Angappa Gunasekaran & Benjamin Hazen & David Roubaud & Shivam Gupta & Cyril Foropon, 2020. "Examining sustainable supply chain management of SMEs using resource based view and institutional theory," Annals of Operations Research, Springer, vol. 290(1), pages 301-326, July.
    29. Collins, Christopher & Dennehy, Denis & Conboy, Kieran & Mikalef, Patrick, 2021. "Artificial intelligence in information systems research: A systematic literature review and research agenda," International Journal of Information Management, Elsevier, vol. 60(C).
    30. Meier, Oliver & Gruchmann, Tim & Ivanov, Dmitry, 2023. "Circular supply chain management with blockchain technology: A dynamic capabilities view," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 176(C).
    31. Zhang, Abraham & Wang, Jason X. & Farooque, Muhammad & Wang, Yulan & Choi, Tsan-Ming, 2021. "Multi-dimensional circular supply chain management: A comparative review of the state-of-the-art practices and research," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    32. Sunil Mithas & Zhi‐Long Chen & Terence J.V. Saldanha & Alysson De Oliveira Silveira, 2022. "How will artificial intelligence and Industry 4.0 emerging technologies transform operations management?," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4475-4487, December.
    33. Huigang Liang & Nianxin Wang & Yajiong Xue & Shilun Ge, 2017. "Unraveling the Alignment Paradox: How Does Business—IT Alignment Shape Organizational Agility?," Information Systems Research, INFORMS, vol. 28(4), pages 863-879, December.
    34. Kargar, Bahareh & MohajerAnsari, Pedram & Esra Büyüktahtakın, İ. & Jahani, Hamed & Talluri, Sri, 2024. "Data-driven modeling for designing a sustainable and efficient vaccine supply chain: A COVID-19 case study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 184(C).
    35. Smaïl Benzidia & Naouel Makaoui & Omar Bentahar, 2021. "The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance," Post-Print hal-03028127, HAL.
    36. Amine Belhadi & Venkatesh Mani & Sachin S. Kamble & Syed Abdul Rehman Khan & Surabhi Verma, 2024. "Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation," Annals of Operations Research, Springer, vol. 333(2), pages 627-652, February.
    37. Di Domenico, Lorenzo & Raberto, Marco & Safarzynska, Karolina, 2023. "Resource scarcity, circular economy and the energy rebound: A macro-evolutionary input-output model," Energy Economics, Elsevier, vol. 128(C).
    38. Samuel Fosso Wamba & Cameron Guthrie & Maciel M. Queiroz & Stefan Minner, 2024. "ChatGPT and generative artificial intelligence: an exploratory study of key benefits and challenges in operations and supply chain management," International Journal of Production Research, Taylor & Francis Journals, vol. 62(16), pages 5676-5696, August.
    39. Dubey, Rameshwar & Bryde, David J. & Dwivedi, Yogesh K. & Graham, Gary & Foropon, Cyril, 2022. "Impact of artificial intelligence-driven big data analytics culture on agility and resilience in humanitarian supply chain: A practice-based view," International Journal of Production Economics, Elsevier, vol. 250(C).
    40. Luo, Jun & Chong, Alain Yee-Loong & Ngai, Eric W.T. & Liu, Martin J., 2014. "Green Supply Chain Collaboration implementation in China: The mediating role of guanxi," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 98-110.
    41. Bag, Surajit & Dhamija, Pavitra & Bryde, David J. & Singh, Rajesh Kumar, 2022. "Effect of eco-innovation on green supply chain management, circular economy capability, and performance of small and medium enterprises," Journal of Business Research, Elsevier, vol. 141(C), pages 60-72.
    42. Fosso Wamba, Samuel & Queiroz, Maciel M. & Chiappetta Jabbour, Charbel Jose & Shi, Chunming (Victor), 2023. "Are both generative AI and ChatGPT game changers for 21st-Century operations and supply chain excellence?," International Journal of Production Economics, Elsevier, vol. 265(C).
    43. Ida Merete Enholm & Emmanouil Papagiannidis & Patrick Mikalef & John Krogstie, 2022. "Artificial Intelligence and Business Value: a Literature Review," Information Systems Frontiers, Springer, vol. 24(5), pages 1709-1734, October.
    44. Ramanathan, Usha & Gunasekaran, Angappa, 2014. "Supply chain collaboration: Impact of success in long-term partnerships," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 252-259.
    45. Ting Kong & Taiwen Feng & Baofeng Huo, 2021. "Green supply chain integration and financial performance: A social contagion and information sharing perspective," Business Strategy and the Environment, Wiley Blackwell, vol. 30(5), pages 2255-2270, July.
    46. Hicks, B.J., 2007. "Lean information management: Understanding and eliminating waste," International Journal of Information Management, Elsevier, vol. 27(4), pages 233-249.
    47. Luca Marrucci & Tiberio Daddi & Fabio Iraldo, 2022. "Do dynamic capabilities matter? A study on environmental performance and the circular economy in European certified organisations," Business Strategy and the Environment, Wiley Blackwell, vol. 31(6), pages 2641-2657, September.
    48. Ghasemaghaei, Maryam, 2020. "The role of positive and negative valence factors on the impact of bigness of data on big data analytics usage," International Journal of Information Management, Elsevier, vol. 50(C), pages 395-404.
    49. Christian Hendriksen, 2023. "Artificial intelligence for supply chain management: Disruptive innovation or innovative disruption?," Journal of Supply Chain Management, Institute for Supply Management, vol. 59(3), pages 65-76, July.
    50. Ayala, Néstor Fabián & Paslauski, Carolline Amaral & Ghezzi, Antonio & Frank, Alejandro Germán, 2017. "Knowledge sharing dynamics in service suppliers' involvement for servitization of manufacturing companies," International Journal of Production Economics, Elsevier, vol. 193(C), pages 538-553.
    51. Steve Kennedy & Martina K. Linnenluecke, 2022. "Circular economy and resilience: A research agenda," Business Strategy and the Environment, Wiley Blackwell, vol. 31(6), pages 2754-2765, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Lixu & Liu, Yaoqi & Jin, Yong & Cheng, T.C. Edwin & Yang, Shuili, 2025. "Leveraging supply chain digitalization for performance improvement in manufacturing and service firms: A practice-based view," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 200(C).
    2. Pan, Shenle & Ivanov, Dmitry & Chutani, Anshuman & Xing, Xinjie & Jeff Jia, Fu & Huang, George Q., 2025. "New normal, new norms: Towards sustainable and resilient global logistics and supply chain management," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 201(C).
    3. Choi, Tsan-Ming & Sun, Xuting, 2025. "Prescriptive analytics for sustainable supply chain operations: The PASO framework for Industry 5.0," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 201(C).
    4. Ivanov, Dmitry, 2025. "Conceptual and formal models for design, adaptation, and control of digital twins in supply chain ecosystems," Omega, Elsevier, vol. 137(C).
    5. Xuhui Chen & Guanghui Cheng & Yong He, 2025. "Mathematical Modeling and Optimization of Platform Supply Chain in the Digital Era: A Systematic Review," Mathematics, MDPI, vol. 13(17), pages 1-33, September.
    6. Ni, Hsiao-Ping & Liu, Chi-Yun & Paul, Fermodelie & Chong, Wai Oswald & Chou, Jui-Sheng, 2025. "Enhancing supply chain resilience and efficiency of HVAC systems in semiconductor manufacturing facilities using graph-based large multimodal models," Applied Energy, Elsevier, vol. 398(C).
    7. Muhammad Noman Shafique & Umar Adeel & Ammar Rashid, 2024. "The Synergy Between Industry 5.0 and Circular Economy for Sustainable Performance in the Chinese Manufacturing Industry," Sustainability, MDPI, vol. 16(22), pages 1-17, November.
    8. Yang, Yimin & Yi, Chaoqun & Li, Hailing & Dong, Xuesong & Yang, Lulu & Wang, Zilong, 2025. "An analysis on the role of artificial intelligence in green supply chains," Technological Forecasting and Social Change, Elsevier, vol. 217(C).
    9. Wang, Shaofeng & Zhang, Hao, 2025. "Generative artificial intelligence and internationalization green innovation: Roles of supply chain innovations and AI regulation for SMEs," Technology in Society, Elsevier, vol. 82(C).

    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. Li, Lixu & Liu, Yaoqi & Jin, Yong & Cheng, T.C. Edwin & Zhang, Qianjun, 2024. "Generative AI-enabled supply chain management: The critical role of coordination and dynamism," International Journal of Production Economics, Elsevier, vol. 277(C).
    2. Fosso Wamba, Samuel & Queiroz, Maciel M. & Trinchera, Laura, 2024. "The role of artificial intelligence-enabled dynamic capability on environmental performance: The mediation effect of a data-driven culture in France and the USA," International Journal of Production Economics, Elsevier, vol. 268(C).
    3. Chowdhury, Soumyadeb & Ren, Shuang & Richey, Robert Glenn, 2025. "Leveraging artificial intelligence to facilitate green servitization: Resource orchestration and Re-institutionalization perspectives," International Journal of Production Economics, Elsevier, vol. 281(C).
    4. Yang, Yimin & Yi, Chaoqun & Li, Hailing & Dong, Xuesong & Yang, Lulu & Wang, Zilong, 2025. "An analysis on the role of artificial intelligence in green supply chains," Technological Forecasting and Social Change, Elsevier, vol. 217(C).
    5. Ni, Hsiao-Ping & Liu, Chi-Yun & Paul, Fermodelie & Chong, Wai Oswald & Chou, Jui-Sheng, 2025. "Enhancing supply chain resilience and efficiency of HVAC systems in semiconductor manufacturing facilities using graph-based large multimodal models," Applied Energy, Elsevier, vol. 398(C).
    6. Liu, Ying & Huang, Hongyun & Mbanyele, William & Li, Xin & Balezentis, Tomas, 2025. "Harnessing supply chain digital innovation for enhanced corporate environmental practices and sustainable growth," Energy Economics, Elsevier, vol. 142(C).
    7. Li, Lixu & Liu, Yaoqi & Jin, Yong & Cheng, T.C. Edwin & Yang, Shuili, 2025. "Leveraging supply chain digitalization for performance improvement in manufacturing and service firms: A practice-based view," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 200(C).
    8. Ahmad, Farhan & Bask, Anu & Laari, Sini & Robinson, Craig V., 2023. "Business management perspectives on the circular economy: Present state and future directions," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    9. Zhang, Justin Zuopeng & Dou, Junpeng & Liu, Yulong David & Nazrul, Asif & Behl, Abhishek, 2025. "Building resilient circular supply chains with blockchain: Exploring the impact of relationships and capabilities," Technovation, Elsevier, vol. 148(C).
    10. Ivanov, Dmitry, 2025. "Conceptual and formal models for design, adaptation, and control of digital twins in supply chain ecosystems," Omega, Elsevier, vol. 137(C).
    11. Wang, Weizhong & Chen, Yu & Zhang, Tinglong & Deveci, Muhammet & Kadry, Seifedine, 2024. "The use of AI to uncover the supply chain dynamics of the primary sector: Building resilience in the food supply chain," Structural Change and Economic Dynamics, Elsevier, vol. 70(C), pages 544-566.
    12. Lu, Xingwei & Xu, Xianhao & Sun, Yi, 2025. "Enhancing resilience in supply chains through resource orchestration and AI assimilation: An empirical exploration," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 195(C).
    13. Boone, Tonya & Fahimnia, Behnam & Ganeshan, Ram & Herold, David M. & Sanders, Nada R., 2025. "Generative AI: Opportunities, challenges, and research directions for supply chain resilience," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 199(C).
    14. Al-kahtib, Ayman & Alghababsheh, Mohammad & Khattab, Mais, 2025. "The role of organizational ambidexterity and frugal innovation in enhancing circular supply chains: The effect of artificial intelligence capabilities," Technological Forecasting and Social Change, Elsevier, vol. 210(C).
    15. Naveen Virmani & Vaishali Agarwal & Anil Kumar & Sunil Luthra, 2025. "The greenwash era is over, now performance matters: a Z-Number analysis of critical success factors and performance outcomes to achieve resource efficient digital circular supply chain management practices," Annals of Operations Research, Springer, vol. 355(1), pages 867-899, December.
    16. Hui Jing & Yuwei Fan, 2024. "Digital Transformation, Supply Chain Integration and Supply Chain Performance: Evidence From Chinese Manufacturing Listed Firms," SAGE Open, , vol. 14(3), pages 21582440241, September.
    17. Ghosh, Vinit & Chotia, Varun & Alghafes, Rsha & Basahel, Sarah & Nazrul, Asif, 2025. "Bridging AI minds and corporate sustainability - Exploring the role of business model innovation and organizational sensemaking," Technological Forecasting and Social Change, Elsevier, vol. 218(C).
    18. Zeng, Bing & Chotia, Varun & Ghosh, Vinit & Cheng, Jiyang, 2025. "Digital antecedents and mechanisms towards sustainable digital innovation ecosystems: examining the role of circular supply chain resilience," Technological Forecasting and Social Change, Elsevier, vol. 218(C).
    19. Shahzad, Fakhar & Zaied, Younes Ben & Shahzad, Muhammad Asim & Mahmood, Faisal, 2024. "Insights into the performance of green supply chain in the Chinese semiconductor industry," International Journal of Production Economics, Elsevier, vol. 273(C).
    20. Bag, Surajit & Gupta, Shivam & Chan, Hau-Ling & Kumar, Ajay, 2024. "Building smart product-service systems capabilities for circular supply chains in the Industry 4.0 era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 188(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:192:y:2024:i:c:s1366554524003521. 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.