Factors affecting BIM implementation in post-conflict low-income economies: The case of Afghanistan

Al-Mohammad, M S; Haron, A T; Aloko, M N and Rahman, R A (2023) Factors affecting BIM implementation in post-conflict low-income economies: The case of Afghanistan. Journal of Engineering, Design and Technology, 21(1), pp. 299-318. ISSN 1726-0531

Abstract

Purpose: Rejecting building information modeling (BIM) can negatively impact the architectural, engineering and construction (AEC) industries. While BIM is trending globally, its implementation in post-conflict low-income economies is still limited. The purpose of this paper is to identify the critical factors for implementing BIM in a post-conflict low-income economy, using Afghanistan as a case study. Design/methodology/approach: This study identifies potential affecting factors for BIM implementation through reviewing existing literature and interviewing AEC professionals in Afghanistan. Then, the factors are inserted into a questionnaire survey and disseminated with Afghanistan’s AEC practitioners. The collected data was analyzed to determine the critical factors. Also, the underlying relationships between the critical factors were established through factor analysis. Findings: A total of 11 critical factors are affecting BIM implementation in Afghanistan. From those, nine factors can be grouped into the following three components: technological, environmental and organizational. Two factors, “cost-benefit of implementing BIM” and “market demand for BIM,” are recurring in low- and middle-income economies. Conversely, the “presence of appropriate projects to implement BIM” is the unique critical factor for Afghanistan that might affect other post-conflict low-income economies. Originality/value: This study focuses on affecting factors for BIM implementation in post-conflict low-income economies, using Afghanistan as a reference rather than other types of economies that have been widely studied.

Item Type: Article
Uncontrolled Keywords: automation; building information modeling; building technology; construction innovation; construction management; developing countries; low-income economies; multivariate analysis; post-conflict economies; simulation modeling for construction
Index terms: methodology, questionnaire, practitioner, construction innovation, developing country, building technology, multivariate analysis, survey, income, simulation modelling, factor analysis, presence, automation, Afghanistan, implementation, building information modelling, case study, critical factor
Subjects: research methods, development economics, automation and robotics, Geography, building construction, information systems, statistical analysis, data collection methods, risk assessment, practitioner, engineering systems, analytical methods, economic analysis, contractual arrangements, environmental science
Topics: Engineering Principles, Research Practice, Geographical Context, Business Strategy, Sustainability, Procurement, Risk Management, Roles and Professions, International Construction, Digital Applications
Descriptive scope: 5 PCTEA

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