Gharouni Jafari, K; Noorzai, E and Hosseini, M R (2021) Assessing the capabilities of computing features in addressing the most common issues in the AEC industry. Construction Innovation, 21(4), pp. 875-898. ISSN 1471-4175
Abstract
This paper aims to explore the potential capabilities of the application of computing features (CFs) in resolving the most common issues that adversely affect performance in architecture, engineering and construction (AEC) projects. Through a comprehensive review of the literature, 10 most significant CFs were identified. Also, the 15 most prevalent issues in AEC projects (AECIs), for which computers can provide remedial solutions, were determined and categorized into three phases of design, construction and operation. Potential impacts of each CF on handling AECIs in each of the three stages were assessed based on experts' perceptions. CFs are ranked based on their potential on solving the identified AECIs. So too, the order of the most common AECIs is provided in terms of their disposition for being solved by CFs. In this regard, findings reveal that the most effective CF in addressing AECIs is "artificial intelligence" and the most solvable AECI by using CFs is "increased costs and poor budgeting". Furthermore, the most appropriate CF to handle each AECI is specified, as a result of which, it is inferred CFs are more effective in handling operation-related issues, compared to design, construction phases. Practical implications: The results can provide a profound insight into software/tool selection based on features that enable technological tools and programs to handle AECIs in the three major phases of projects. Moreover, technology providers and vendors are provided with a benchmark to supply products according to the demands of the AEC industry. The study provides a readily available point of reference for practitioners in selecting various CFs for handling common AECIs that affect their projects. A large body of research is available on the evaluation of various computer-based technologies and tools. Nevertheless, little, if any, study exists that explores the potential of underlying CFs of these technologies in addressing endemic problems across various stages of AEC projects. This study is one of the first in its kind that shifts to exploring various CFs, as the main enablers of computer technologies, establish links between these CFs and common issues of projects and assesses the potential of various CFs in addressing common problems of construction projects.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | computing features; construction phase; design phase; digitalization; operation phase; technology |
| Index terms: | budgeting, digitalization, computing, practitioner, operation phase, construction project, program, artificial intelligence, construction phase, design phase |
| Subjects: | production management, financial management, software systems, practitioner, computing systems, professional practice, artificial intelligence, project delivery, digital technology |
| Topics: | Business Strategy, Project Management, Roles and Professions, Digital Applications, Design Practice |
| Descriptive scope: | 2 PC |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here