Author:
Bosch-Sijtsema Petra,Claeson-Jonsson Christina,Johansson Mikael,Roupe Mattias
Abstract
Purpose
This paper aims to focus on 11 digital technologies (i.e. building information modeling, artificial intelligence and machine learning, 3D scanning, sensors, robots/automation, digital twin, virtual reality, 3D printing, drones, cloud computing and self-driving vehicles) that are portrayed in future trend reports and hype curves. The study concentrates on the current usage and knowledge of digital technologies in the Swedish architecture, engineering and construction (AEC) industry to gain an insight in the possible expectations and future trajectory of these digital technologies.
Design/methodology/approach
The study applies an abductive approach which is based on three different types of methods. These methods are a literature and document study which focused on 11 digital technologies, two workshops with industry (13 participants) and an online survey (N = 84).
Findings
The paper contributes to a current state analysis of the Swedish AEC industry concerning digital technologies and discusses the trajectory of these technologies for the AEC industry. The paper identifies hype factors, in which the knowledge of a digital technology is related to its usage. From the hype factors, four zones that show different stages of digital technology usage and maturity in the industry are induced.
Originality/value
The contribution of the paper is twofold. The paper shows insight into opportunities, the current barriers, use and knowledge of digital technologies for the different actors in the AEC industry. Furthermore, the study shows that the AEC industry is behind the traditional Gartner hype curves and contributes with defining four zones for digital technologies for the Swedish AEC industry: confusion, excitement, experimentation and integration.
Subject
Building and Construction,Architecture,Civil and Structural Engineering,General Computer Science,Control and Systems Engineering
Reference47 articles.
1. An autonomous robotic platform for automatic extraction of detailed semantic models of buildings;Automation in Construction,2020
2. Albeaino, G. Gheisari, M. and Franz, B.W. (2019), “A systematic review of unmanned aerial vehicle application areas and technologies in the AEC domain”, ITcon, 24, pp. 381-405, available at: www.itcon.org/2019/20
3. Patterns of expectations for emerging sustainable technologies;Technological Forecasting and Social Change,2012
4. Technology forecasting: case of 3D printing,2017
Cited by
64 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献