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Investigating the barriers to the adoption of blockchain technology in sustainable construction projects
Blockchain technology (BT) can execute transactions verifiable and permanently, which can help foster the idea of embracing sustainability pillars within industries. Therefore, BT holds considerable promise for the industrial and service sectors; however, its implementation during the procurement stage in a sustainable construction project (SCP) is a bottleneck because of inherent and unknown barriers. Though some attempts on the identification of these barriers have been carried out, the literature lacks a thorough investigation into the relationships and inner dependencies among the related barriers within the realm of SCP. Thus, a novel combination of fuzzy decision-making trial and evaluation laboratory (fuzzy DEMATEL) and social network analysis (FDSNA) is proposed in this paper to fill this gap; FDSNA uncovers causal relationships among leading barriers that impede the adoption of BT within an SCP, and it determines the most critical barriers by modeling their complex interrelationships in related intricate environments. The obtained results suggest “inadequacies in implementing block chain-based policies” and “unawareness and resistance to BT among customers” as the most significant barriers, and “technology immaturity,” “market uncertainty and competition,” and “technology accessibility” are identified as the most critical. These results present managers and governmental bodies with an inclusive picture regarding the major obstructions to the successful implementation of BT, and it is expected to open avenues to accrue benefits from such leading-edge technologies at a greater pace.
Investigating the barriers to the adoption of blockchain technology in sustainable construction projects
Blockchain technology (BT) can execute transactions verifiable and permanently, which can help foster the idea of embracing sustainability pillars within industries. Therefore, BT holds considerable promise for the industrial and service sectors; however, its implementation during the procurement stage in a sustainable construction project (SCP) is a bottleneck because of inherent and unknown barriers. Though some attempts on the identification of these barriers have been carried out, the literature lacks a thorough investigation into the relationships and inner dependencies among the related barriers within the realm of SCP. Thus, a novel combination of fuzzy decision-making trial and evaluation laboratory (fuzzy DEMATEL) and social network analysis (FDSNA) is proposed in this paper to fill this gap; FDSNA uncovers causal relationships among leading barriers that impede the adoption of BT within an SCP, and it determines the most critical barriers by modeling their complex interrelationships in related intricate environments. The obtained results suggest “inadequacies in implementing block chain-based policies” and “unawareness and resistance to BT among customers” as the most significant barriers, and “technology immaturity,” “market uncertainty and competition,” and “technology accessibility” are identified as the most critical. These results present managers and governmental bodies with an inclusive picture regarding the major obstructions to the successful implementation of BT, and it is expected to open avenues to accrue benefits from such leading-edge technologies at a greater pace.
Investigating the barriers to the adoption of blockchain technology in sustainable construction projects
Kumar Singh, Atul (Autor:in) / Kumar, V. R.Prasath (Autor:in) / Dehdasht, Gholamreza (Autor:in) / Mohandes, Saeed Reza (Autor:in) / Manu, Patrick (Autor:in) / Pour Rahimian, Farzad (Autor:in)
01.06.2023
Kumar Singh , A , Kumar , V R P , Dehdasht , G , Mohandes , S R , Manu , P & Pour Rahimian , F 2023 , ' Investigating the barriers to the adoption of blockchain technology in sustainable construction projects ' , Journal of Cleaner Production , vol. 403 , 136840 . https://doi.org/10.1016/j.jclepro.2023.136840
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DDC:
690
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