Version 1
: Received: 18 May 2018 / Approved: 22 May 2018 / Online: 22 May 2018 (04:52:39 CEST)
How to cite:
Sepasgozar, S.; Davis, S. Construction Technology Adoption Cube: An Investigation on Process, Factors, Barriers, Drivers, and Decision Makers using NVivo and AHP Analysis. Preprints2018, 2018050281. https://doi.org/10.20944/preprints201805.0281.v1
Sepasgozar, S.; Davis, S. Construction Technology Adoption Cube: An Investigation on Process, Factors, Barriers, Drivers, and Decision Makers using NVivo and AHP Analysis. Preprints 2018, 2018050281. https://doi.org/10.20944/preprints201805.0281.v1
Sepasgozar, S.; Davis, S. Construction Technology Adoption Cube: An Investigation on Process, Factors, Barriers, Drivers, and Decision Makers using NVivo and AHP Analysis. Preprints2018, 2018050281. https://doi.org/10.20944/preprints201805.0281.v1
APA Style
Sepasgozar, S., & Davis, S. (2018). Construction Technology Adoption Cube: An Investigation on Process, Factors, Barriers, Drivers, and Decision Makers using NVivo and AHP Analysis. Preprints. https://doi.org/10.20944/preprints201805.0281.v1
Chicago/Turabian Style
Sepasgozar, S. and Steven Davis. 2018 "Construction Technology Adoption Cube: An Investigation on Process, Factors, Barriers, Drivers, and Decision Makers using NVivo and AHP Analysis" Preprints. https://doi.org/10.20944/preprints201805.0281.v1
Abstract
Due to the complexity, high-risk, and conservative character of construction companies, advanced digital technologies do not become widely adopted in the short term, while vendors make determined efforts to overcome this and disseminate their technologies. This paper presents the methods of an investigation addressing the extremely complex issues related to the current practices of digital technology adoption in construction. It discusses how construction companies follow a specific logical process linked to need, project objectives, characteristics of the adopting organization, and the characteristics of the new technology to be adopted. The study aims to demonstrate a novel method of data collection and analysis including data and methodological triangulation techniques including the use of NVivo and AHP to explore how companies make the decision to uptake a new technology (e.g. advanced crane, tunnel boring machine or drones) by focusing on customer and vendor activities, their interactions, contributing factors, and people involved in the process. The major original contribution of this paper is to develop an innovative methodological Cube for investigating the Construction Technology Adoption Process (CTAP) covering technology adoption, acceptance, diffusion and implementation concepts. CTAP is a framework that delineates the phases of the process that customer organizations use when deciding to adopt a new digital technology and the parallel vendor activities. The significance of these contributions is that they enable vendors to understand how to match their strategies with customer expectations in each phase of the CTAP. It also provides a benchmark for new construction companies to use the current best practice of decision making. Future research is warranted to more clearly delineate any differences with developing nations or related industries such as mining and property management.
Keywords
construction technology adoption process; construction; mining; digital technology; diffusion; implementation; mix methods; grounded theory; thematic analysis; data and methodological triangulation techniques; AHP; NVivo
Subject
Engineering, Control and Systems Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
