IDEAS home Printed from https://ideas.repec.org/a/spr/opmare/v16y2023i4d10.1007_s12063-022-00344-x.html
   My bibliography  Save this article

Identifying issues in adoption of AI practices in construction supply chains: towards managing sustainability

Author

Listed:
  • Arpit Singh

    (O.P Jindal Global University)

  • Ashish Dwivedi

    (O.P Jindal Global University)

  • Dindayal Agrawal

    (SOIL School of Business Design)

  • Durgesh Singh

    (PDPM-Indian Institute of Information Technology, Design and Manufacturing)

Abstract

The fragmented nature of construction industry coupled with its complex and dynamic nature demands for innovative technologies to record better performance in project execution. In this respect, Artificial Intelligence (AI) based techniques posit a viable means to attain requisite efficiency in performance and alleviate the productivity of construction organizations. The adoption of sustainable practices in Construction Supply Chains (CSCs) lowers the environmental impact, lowers the risk of failure, and boosts competitiveness. The present study attempts to unearth potential issues in the adoption of AI practices in CSCs. Initially, the study identifies potential issues in the implementation of AI-based frameworks in CSCs by performing an extensive literature review and brainstorming sessions with industry experts. The exercise results in identifying 17 critical issues confronting the adoption of AI in CSCs which were subsequently subjected to fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) approach. The findings from the study reveal that “Lack of trust in AI outcomes”, “Exploitation by hackers, cybercrimes and privacy intrusion”, “Risk and cost associated with construction projects”, “Uncertain processing and functions of AI algorithms”, and “Unclear profits and advantages” were the top five influential causal issues that affect the adoption of AI in CSCs. This study is a novel attempt in the direction to identify and prioritize the potential issues in the adoption of AI-based frameworks in the Indian CSCs.

Suggested Citation

  • Arpit Singh & Ashish Dwivedi & Dindayal Agrawal & Durgesh Singh, 2023. "Identifying issues in adoption of AI practices in construction supply chains: towards managing sustainability," Operations Management Research, Springer, vol. 16(4), pages 1667-1683, December.
    • Handle: RePEc:spr:opmare:v:16:y:2023:i:4:d:10.1007_s12063-022-00344-x
    DOI: 10.1007/s12063-022-00344-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12063-022-00344-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12063-022-00344-x?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. Chandan K. Sahu & Crystal Young & Rahul Rai, 2021. "Artificial intelligence (AI) in augmented reality (AR)-assisted manufacturing applications: a review," International Journal of Production Research, Taylor & Francis Journals, vol. 59(16), pages 4903-4959, August.
    2. Dhirendra Prajapati & M. Manoj Kumar & Saurabh Pratap & H. Chelladurai & Mohd Zuhair, 2021. "Sustainable Logistics Network Design for Delivery Operations with Time Horizons in B2B E-Commerce Platform," Logistics, MDPI, vol. 5(3), pages 1-13, September.
    3. Glyn Atwal & Douglas Bryson, 2021. "Antecedents of intention to adopt artificial intelligence services by consumers in personal financial investing," Post-Print hal-03330375, HAL.
    4. Ashish Dwivedi & Dindayal Agrawal & Ajay Jha & Massimo Gastaldi & Sanjoy Kumar Paul & Idiano D’Adamo, 2021. "Addressing the Challenges to Sustainable Initiatives in Value Chain Flexibility: Implications for Sustainable Development Goals," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 22(2), pages 179-197, December.
    5. Yuo-Hsien Shiau & Su-Fen Yang & Rishan Adha & Syamsiyatul Muzayyanah, 2022. "Modeling Industrial Energy Demand in Relation to Subsector Manufacturing Output and Climate Change: Artificial Neural Network Insights," Sustainability, MDPI, vol. 14(5), pages 1-18, March.
    6. Dhirendra Prajapati & Felix T. S. Chan & Yash Daultani & Saurabh Pratap, 2022. "Sustainable vehicle routing of agro-food grains in the e-commerce industry," International Journal of Production Research, Taylor & Francis Journals, vol. 60(24), pages 7319-7344, December.
    7. Romain Cadario & Chiara Longoni & Carey K. Morewedge, 2021. "Understanding, explaining, and utilizing medical artificial intelligence," Nature Human Behaviour, Nature, vol. 5(12), pages 1636-1642, December.
    8. Rohit Sharma & Anjali Shishodia & Angappa Gunasekaran & Hokey Min & Ziaul Haque Munim, 2022. "The role of artificial intelligence in supply chain management: mapping the territory," International Journal of Production Research, Taylor & Francis Journals, vol. 60(24), pages 7527-7550, December.
    9. Kichan Nam & Christopher S. Dutt & Prakash Chathoth & Abdelkader Daghfous & M. Sajid Khan, 2021. "The adoption of artificial intelligence and robotics in the hotel industry: prospects and challenges," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 553-574, September.
    10. Adriana Grenčíková & Marcel Kordoš & Jozef Bartek & Vladislav Berkovič, 2021. "The Impact of the Industry 4.0 Concept on Slovak Business Sustainability within the Issue of the Pandemic Outbreak," Sustainability, MDPI, vol. 13(9), pages 1-14, April.
    11. Chang, Yuan & Ries, Robert J. & Wang, Yaowu, 2011. "The quantification of the embodied impacts of construction projects on energy, environment, and society based on I-O LCA," Energy Policy, Elsevier, vol. 39(10), pages 6321-6330, October.
    12. Zhang, Weidong & Zuo, Na & He, Wu & Li, Songtao & Yu, Lu, 2021. "Factors influencing the use of artificial intelligence in government: Evidence from China," Technology in Society, Elsevier, vol. 66(C).
    13. Grewal, Dhruv & Guha, Abhijit & Satornino, Cinthia B. & Schweiger, Elisa B., 2021. "Artificial intelligence: The light and the darkness," Journal of Business Research, Elsevier, vol. 136(C), pages 229-236.
    14. Mahfuzur Rahman & Teoh Hui Ming & Tarannum Azim Baigh & Moniruzzaman Sarker, 2021. "Adoption of artificial intelligence in banking services: an empirical analysis," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 18(10), pages 4270-4300, December.
    15. Xu, Chuanbo & Wu, Yunna & Dai, Shuyu, 2020. "What are the critical barriers to the development of hydrogen refueling stations in China? A modified fuzzy DEMATEL approach," Energy Policy, Elsevier, vol. 142(C).
    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. Arpit Singh & Ashish Dwivedi & Dindayal Agrawal & Anurag Chauhan, 2024. "A framework to model the performance indicators of resilient construction supply chain: An effort toward attaining sustainability and circular practices," Business Strategy and the Environment, Wiley Blackwell, vol. 33(3), pages 1688-1720, March.
    2. Dhirendra Prajapati & Fuli Zhou & Ashish Dwivedi & Tripti Singh & Lakshay Lakshay & Saurabh Pratap, 2022. "Sustainable Agro-Food Supply Chain in E-Commerce: Towards the Circular Economy," Sustainability, MDPI, vol. 14(14), pages 1-19, July.
    3. Hermann, Erik & Puntoni, Stefano, 2024. "Artificial intelligence and consumer behavior: From predictive to generative AI," Journal of Business Research, Elsevier, vol. 180(C).
    4. Hammad Ahmad & Gyan Chhipi-Shrestha & Kasun Hewage & Rehan Sadiq, 2022. "A Comprehensive Review on Construction Applications and Life Cycle Sustainability of Natural Fiber Biocomposites," Sustainability, MDPI, vol. 14(23), pages 1-34, November.
    5. Chen, Changdong, 2024. "How consumers respond to service failures caused by algorithmic mistakes: The role of algorithmic interpretability," Journal of Business Research, Elsevier, vol. 176(C).
    6. Syed Imran Zaman & Sharfuddin Ahmed Khan & Sahar Qabool & Himanshu Gupta, 2023. "How digitalization in banking improve service supply chain resilience of e-commerce sector? a technological adoption model approach," Operations Management Research, Springer, vol. 16(2), pages 904-930, June.
    7. H. Mahesh Prabhu & Amit Kumar Srivastava, 2023. "CEO Transformational Leadership, Supply Chain Agility and Firm Performance: A TISM Modeling among SMEs," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(1), pages 51-65, March.
    8. Samadhiya, Ashutosh & Yadav, Sanjeev & Kumar, Anil & Majumdar, Abhijit & Luthra, Sunil & Garza-Reyes, Jose Arturo & Upadhyay, Arvind, 2023. "The influence of artificial intelligence techniques on disruption management: Does supply chain dynamism matter?," Technology in Society, Elsevier, vol. 75(C).
    9. Celiktutan, Begum & Klesse, Anne-Kathrin & Tuk, Mirjam A., 2024. "Acceptability lies in the eye of the beholder: Self-other biases in GenAI collaborations," International Journal of Research in Marketing, Elsevier, vol. 41(3), pages 496-512.
    10. 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).
    11. Abderahman Rejeb & Karim Rejeb & Yasanur Kayikci & Andrea Appolloni & Horst Treiblmaier, 2024. "Mapping the knowledge domain of green procurement: a review and bibliometric analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(12), pages 30027-30061, December.
    12. 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.
    13. Diana Carolina Gámez-García & José Manuel Gómez-Soberón & Ramón Corral-Higuera & Héctor Saldaña-Márquez & María Consolación Gómez-Soberón & Susana Paola Arredondo-Rea, 2018. "A Cradle to Handover Life Cycle Assessment of External Walls: Choice of Materials and Prognosis of Elements," Sustainability, MDPI, vol. 10(8), pages 1-24, August.
    14. Anita Mendiratta & Shveta Singh & Surendra Singh Yadav & Arvind Mahajan, 2023. "Bibliometric and Topic Modeling Analysis of Corporate Social Irresponsibility," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(3), pages 319-339, September.
    15. Amina Antit & Amel Jaoua & Safa Bhar Layeb & Chefi Triki, 2025. "Pre-auction optimization for the selection of shared customers in the last-mile delivery," Annals of Operations Research, Springer, vol. 344(2), pages 989-1026, January.
    16. Yuqian Shi & Sheng Yu & Jie Mei, 2025. "Strategic Decision-Making Enhancement through Graph-Optimized DEMATEL-AHP with Pruning," Group Decision and Negotiation, Springer, vol. 34(1), pages 105-133, February.
    17. Hossain, Mokter, 2022. "The Shenzhen ecosystem: What it means for the western world," Technology in Society, Elsevier, vol. 68(C).
    18. Bojan Obrenovic & Danijela Godinic & Mato Njavro, 2024. "Sustaining company performance during the war-induced crisis using sourcing capability and substitute input," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(12), pages 30001-30026, December.
    19. Yang, Yikai & Zheng, Jiehui & Yu, Yining & Qiu, Yiling & Wang, Lei, 2024. "The role of recommendation sources and attribute framing in online product recommendations," Journal of Business Research, Elsevier, vol. 174(C).
    20. Yang, Siying & Liu, Fengshuo, 2024. "Impact of industrial intelligence on green total factor productivity: The indispensability of the environmental system," Ecological Economics, Elsevier, vol. 216(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:spr:opmare:v:16:y:2023:i:4:d:10.1007_s12063-022-00344-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.