IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v175y2022ics0040162521007198.html
   My bibliography  Save this article

Big data-driven fuzzy large-scale group decision making (LSGDM) in circular economy environment

Author

Listed:
  • Xuan, Li

Abstract

With the continuous development of big data techniques, more and more group decision-making problems involve multiple decision-makers. In the era of big data, massive data can improve decision-making ability and provide good support for decision-making. Large-Scale Group Decision Making (LSGDM) has been developed, and it discusses many cases where decision-makers are related to the decision-making process. However, the current LSGDM model has some shortcomings. To end this issue, this paper proposed a novel LSGDM method to study the role of the big data-driven decision-making issue. In this regard, existing literature and expert interviews were used to collect research standards. Then, a fuzzy LSGDM judgement matrix decision-making method based on group analysis is proposed. Finally, the method is applied to evaluate the takeout service platform. The results show that seven respondents need to adjust the acceptable consistency of the fuzzy judgement matrix, and they can quickly reach a satisfactory consensus. The results can further enrich and improve the group decision-making method based on a fuzzy judgement matrix.

Suggested Citation

  • Xuan, Li, 2022. "Big data-driven fuzzy large-scale group decision making (LSGDM) in circular economy environment," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    • Handle: RePEc:eee:tefoso:v:175:y:2022:i:c:s0040162521007198
    DOI: 10.1016/j.techfore.2021.121285
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162521007198
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2021.121285?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. Ghezzi, Antonio, 2019. "Digital startups and the adoption and implementation of Lean Startup Approaches: Effectuation, Bricolage and Opportunity Creation in practice," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 945-960.
    2. Maghrabie, Hesham F. & Beauregard, Yvan & Schiffauerova, Andrea, 2019. "Grey-based Multi-Criteria Decision Analysis approach: Addressing uncertainty at complex decision problems," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 366-379.
    3. Liang, Hanwei & Ren, Jingzheng & Lin, Ruojue & Liu, Yue, 2019. "Alternative-fuel based vehicles for sustainable transportation: A fuzzy group decision supporting framework for sustainability prioritization," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 33-43.
    4. Jabbour, Charbel Jose Chiappetta & Jabbour, Ana Beatriz Lopes de Sousa & Sarkis, Joseph & Filho, Moacir Godinho, 2019. "Unlocking the circular economy through new business models based on large-scale data: An integrative framework and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 546-552.
    5. Yongming Song & Guangxu Li, 2019. "A large-scale group decision-making with incomplete multi-granular probabilistic linguistic term sets and its application in sustainable supplier selection," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(5), pages 827-841, May.
    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. Yogesh K. Dwivedi & A. Sharma & Nripendra P. Rana & M. Giannakis & P. Goel & Vincent Dutot, 2023. "Evolution of Artificial Intelligence Research in Technological Forecasting and Social Change: Research Topics, Trends, and Future Directions," Post-Print hal-04292607, HAL.
    2. Kraus, Sascha & Kumar, Satish & Lim, Weng Marc & Kaur, Jaspreet & Sharma, Anuj & Schiavone, Francesco, 2023. "From moon landing to metaverse: Tracing the evolution of Technological Forecasting and Social Change," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    3. Baabdullah, Abdullah M., 2024. "Generative conversational AI agent for managerial practices: The role of IQ dimensions, novelty seeking and ethical concerns," Technological Forecasting and Social Change, Elsevier, vol. 198(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. Choi, Tsan-Ming & Chen, Yue, 2021. "Circular supply chain management with large scale group decision making in the big data era: The macro-micro model," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    2. Ávila-Robinson, Alfonso & Islam, Nazrul & Sengoku, Shintaro, 2022. "Exploring the knowledge base of innovation research: Towards an emerging innovation model," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    3. Zhang, Linling & Yuan, Jinjian & Gao, Xinyu & Jiang, Dawei, 2021. "Public transportation development decision-making under public participation: A large-scale group decision-making method based on fuzzy preference relations," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    4. Tang, Ming & Liao, Huchang, 2021. "Multi-attribute large-scale group decision making with data mining and subgroup leaders: An application to the development of the circular economy," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    5. Weking, Jörg & Desouza, Kevin C. & Fielt, Erwin & Kowalkiewicz, Marek, 2023. "Metaverse-enabled entrepreneurship," Journal of Business Venturing Insights, Elsevier, vol. 19(C).
    6. Alkaraan, Fadi & Elmarzouky, Mahmoud & Hussainey, Khaled & Venkatesh, V.G., 2023. "Sustainable strategic investment decision-making practices in UK companies: The influence of governance mechanisms on synergy between industry 4.0 and circular economy," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    7. Meng, Zhiyi & Li, Eldon Y. & Qiu, Rui, 2020. "Environmental sustainability with free-floating carsharing services: An on-demand refueling recommendation system for Car2go in Seattle," Technological Forecasting and Social Change, Elsevier, vol. 152(C).
    8. Srivastava, Deepak Kumar & Kumar, Vikas & Ekren, Banu Yetkin & Upadhyay, Arvind & Tyagi, Mrinal & Kumari, Archana, 2022. "Adopting Industry 4.0 by leveraging organisational factors," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    9. Cherbib, Jihene, 2024. "Exploring the interplay between entrepreneurial orientation, causation and effectuation under unexpected covid-19 uncertainty: Insights from large French banks," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    10. Fabio A. Madau & Brunella Arru & Roberto Furesi & Pietro Pulina, 2020. "Insect Farming for Feed and Food Production from a Circular Business Model Perspective," Sustainability, MDPI, vol. 12(13), pages 1-15, July.
    11. Kajikawa, Yuya & Mejia, Cristian & Wu, Mengjia & Zhang, Yi, 2022. "Academic landscape of Technological Forecasting and Social Change through citation network and topic analyses," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    12. Tang, Ming & Liao, Huchang, 2021. "From conventional group decision making to large-scale group decision making: What are the challenges and how to meet them in big data era? A state-of-the-art survey," Omega, Elsevier, vol. 100(C).
    13. Wishal Naveed & Majsa Ammouriova & Noman Naveed & Angel A. Juan, 2022. "Circular Economy and Information Technologies: Identifying and Ranking the Factors of Successful Practices," Sustainability, MDPI, vol. 14(23), pages 1-18, November.
    14. Mohammadreza Akbari & John L. Hopkins, 2022. "Digital technologies as enablers of supply chain sustainability in an emerging economy," Operations Management Research, Springer, vol. 15(3), pages 689-710, December.
    15. Broccardo, Laura & Zicari, Adrián & Jabeen, Fauzia & Bhatti, Zeeshan A., 2023. "How digitalization supports a sustainable business model: A literature review," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    16. Yáñez-Valdés, Claudia & Guerrero, Maribel & Barros-Celume, Sebastián & Ibáñez, María J., 2023. "Winds of change due to global lockdowns: Refreshing digital social entrepreneurship research paradigm," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    17. Raghad Almashhour & Mohamed AlQahtani & Malick Ndiaye, 2023. "Highway Transportation, Health, and Social Equity: A Delphi-ANP Approach to Sustainable Transport Planning," Sustainability, MDPI, vol. 15(22), pages 1-38, November.
    18. Li, Wei & Wang, Ting & Lu, Can, 2023. "Pathways to net-zero emissions from China's transportation industry: Considering alternative fuels," Energy, Elsevier, vol. 283(C).
    19. Mushahid Ali Shamsi & Imran Anwar & Asiya Chaudhary & Samreen Akhtar & Alam Ahmad, 2023. "Sustainable Transition through Circular Textile Products: An Empirical Study of Consumers’ Acceptance in India," Sustainability, MDPI, vol. 15(18), pages 1-20, September.
    20. Zaheer, Hasnain & Breyer, Yvonne & Dumay, John & Enjeti, Mahesh, 2022. "The entrepreneurial journeys of digital start-up founders," Technological Forecasting and Social Change, Elsevier, vol. 179(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:tefoso:v:175:y:2022:i:c:s0040162521007198. 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.sciencedirect.com/science/journal/00401625 .

    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.