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Al-Saeed, Y, Edwards, D J and Scaysbrook, S (2020) Automating construction manufacturing procedures using BIM digital objects (BDOs). Construction Innovation , 20(03), 345–77.

Chen, Q, Adey, B T, Haas, C and Hall, D M (2020) Using look-ahead plans to improve material flow processes on construction projects when using BIM and RFID technologies. Construction Innovation , 20(03), 471–508.

Elghaish, F and Abrishami, S (2020) Developing a framework to revolutionise the 4D BIM process: IPD-based solution. Construction Innovation , 20(03), 401–20.

Gradeci, K and Labonnote, N (2019) On the potential of integrating building information modelling (BIM) for the additive manufacturing (AM) of concrete structures. Construction Innovation , 20(03), 321–43.

Mahmood, A and Abrishami, S (2020) BIM for lean building surveying services. Construction Innovation , 20(03), 447–70.

McNamara, A J and Sepasgozar, S M (2020) Developing a theoretical framework for intelligent contract acceptance. Construction Innovation , 20(03), 421–45.

  • Type: Journal Article
  • Keywords: Automation; TAM; Construction; Readiness; Digitalisation; Intelligent contract; Blockchain; TRI;
  • ISBN/ISSN: 1471-4175
  • URL: https://doi.org/10.1108/CI-07-2019-0061
  • Abstract:
    This paper aims to develop a novel theoretical technology acceptance model, namely, for predicting acceptance of the trending technology of intelligent contracts (iContracts) in construction, which aims to integrate the data from emerging cyber-physical systems being introduced to the sector through the industry 4.0 revolution. This model includes main dimensions and critical contributing factors to assess the readiness for the iContract concept within the construction contract environment. Design/methodology/approach Through an extensive literature review, the structure of a unique theoretical technology acceptance model for iContract implementation, within construction, was developed iContract acceptance model (iCAM). Relevant themes were assessed through the lens of the technology acceptance model framework and the four accepted dimensions of the technology readiness index (TRI) concept. The main components of the model were examined with selected practitioners, with relevant experience and understanding of the iContract concept, with thematic mapping of the discussions correlated back to 12 specific iContract contributing constructs of the four adapted TRI dimensions. Findings The paper contributes to the body of knowledge by proposing a novel iCAM for a trending technology based on the specific requirements of iContract adoption. The interviews show that while the desire to digitalise the contractual environment exists, the readiness of the sector for such a disruptive change is unknown. Practical implications The findings and proposed conceptual iCAM offers a lens for the further development of the iContract concept by assisting practitioners to forecast digital readiness of the contract process in construction. Originality/value This study offers a unique and theoretical framework, in an embryonic field, for predicting the success of iContract implementation within construction organisations through the digital, industry 4.0 and revolution.

Tahmasebinia, F, M.E. Sepasgozar, S, Shirowzhan, S, Niemela, M, Tripp, A, Nagabhyrava, S, Mansuri, k k Z and Alonso-Marroquin, F (2020) Criteria development for sustainable construction manufacturing in Construction Industry 4.0. Construction Innovation , 20(03), 379–400.

Wen, J and Gheisari, M (2020) Using virtual reality to facilitate communication in the AEC domain: a systematic review. Construction Innovation , 20(03), 509–42.