Factors Influencing the Adoption of Blockchain in the Construction Industry: A Hybrid Approach Using PLS-SEM and fsQCA

Blockchain is considered a breakthrough technology in the construction industry, with the potential to improve the trust environment and workflow of construction stakeholders. Although recent research offers hints regarding possible contributing elements to blockchain adoption in the construction in...

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Main Authors: Chunhao Li, Yuqian Zhang, Yongshun Xu
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Buildings
Subjects:
Online Access:https://www.mdpi.com/2075-5309/12/9/1349
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author Chunhao Li
Yuqian Zhang
Yongshun Xu
author_facet Chunhao Li
Yuqian Zhang
Yongshun Xu
author_sort Chunhao Li
collection DOAJ
description Blockchain is considered a breakthrough technology in the construction industry, with the potential to improve the trust environment and workflow of construction stakeholders. Although recent research offers hints regarding possible contributing elements to blockchain adoption in the construction industry, no specific study has addressed this topic. This knowledge gap hinders the adoption and promotion of blockchain in construction organizations. This study aimed to identify the determinants of blockchain adoption in the construction industry and verify the influence of the combination of various factors on adoption intention. Based on the technology–organization–environment framework, a conceptual model of blockchain adoption in the construction industry was constructed. Data were collected through the distribution of questionnaires, and 244 professionals in the construction field participated in this study. To evaluate the model hypotheses, we used a two-stage partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) combination. The PLS-SEM revealed that factors such as compatibility, top management support, relative advantage, regulatory support, cost, competitive pressure, organizational readiness, and firm size significantly influence blockchain adoption. The fsQCA indicated that six causal conditions achieve high adoption intention. This is one of the first empirical studies on blockchain adoption in the construction industry, which can aid organizations, policymakers, and project participants in making informed decisions regarding the adoption of blockchain.
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spelling doaj.art-738ddc33c81548fca6fdf24dff4bdcbb2023-11-23T15:23:05ZengMDPI AGBuildings2075-53092022-09-01129134910.3390/buildings12091349Factors Influencing the Adoption of Blockchain in the Construction Industry: A Hybrid Approach Using PLS-SEM and fsQCAChunhao Li0Yuqian Zhang1Yongshun Xu2School of Business and Management, Jilin University, Changchun 130012, ChinaSchool of Business and Management, Jilin University, Changchun 130012, ChinaSchool of Civil Engineering and Architecture, Hainan University, Haikou 570228, ChinaBlockchain is considered a breakthrough technology in the construction industry, with the potential to improve the trust environment and workflow of construction stakeholders. Although recent research offers hints regarding possible contributing elements to blockchain adoption in the construction industry, no specific study has addressed this topic. This knowledge gap hinders the adoption and promotion of blockchain in construction organizations. This study aimed to identify the determinants of blockchain adoption in the construction industry and verify the influence of the combination of various factors on adoption intention. Based on the technology–organization–environment framework, a conceptual model of blockchain adoption in the construction industry was constructed. Data were collected through the distribution of questionnaires, and 244 professionals in the construction field participated in this study. To evaluate the model hypotheses, we used a two-stage partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) combination. The PLS-SEM revealed that factors such as compatibility, top management support, relative advantage, regulatory support, cost, competitive pressure, organizational readiness, and firm size significantly influence blockchain adoption. The fsQCA indicated that six causal conditions achieve high adoption intention. This is one of the first empirical studies on blockchain adoption in the construction industry, which can aid organizations, policymakers, and project participants in making informed decisions regarding the adoption of blockchain.https://www.mdpi.com/2075-5309/12/9/1349blockchaininnovation adoptionconstruction industrytechnology–organization–environment (TOE)PLS-SEMfsQCA
spellingShingle Chunhao Li
Yuqian Zhang
Yongshun Xu
Factors Influencing the Adoption of Blockchain in the Construction Industry: A Hybrid Approach Using PLS-SEM and fsQCA
Buildings
blockchain
innovation adoption
construction industry
technology–organization–environment (TOE)
PLS-SEM
fsQCA
title Factors Influencing the Adoption of Blockchain in the Construction Industry: A Hybrid Approach Using PLS-SEM and fsQCA
title_full Factors Influencing the Adoption of Blockchain in the Construction Industry: A Hybrid Approach Using PLS-SEM and fsQCA
title_fullStr Factors Influencing the Adoption of Blockchain in the Construction Industry: A Hybrid Approach Using PLS-SEM and fsQCA
title_full_unstemmed Factors Influencing the Adoption of Blockchain in the Construction Industry: A Hybrid Approach Using PLS-SEM and fsQCA
title_short Factors Influencing the Adoption of Blockchain in the Construction Industry: A Hybrid Approach Using PLS-SEM and fsQCA
title_sort factors influencing the adoption of blockchain in the construction industry a hybrid approach using pls sem and fsqca
topic blockchain
innovation adoption
construction industry
technology–organization–environment (TOE)
PLS-SEM
fsQCA
url https://www.mdpi.com/2075-5309/12/9/1349
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AT yuqianzhang factorsinfluencingtheadoptionofblockchainintheconstructionindustryahybridapproachusingplssemandfsqca
AT yongshunxu factorsinfluencingtheadoptionofblockchainintheconstructionindustryahybridapproachusingplssemandfsqca