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

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.

Critical Success Factors for Concrete Recycling in Construction Projects

“…Furthermore, rather than representing the population, the objective of this study was to focus on the relative importance of the success factor. This objective has been set per prior works, such as those that identified the most critical elements affecting the adoption of construction innovations [19,38]. As a result, the sample size was deemed sufficient for this study.…”

“…The emphasis should be on developing smoothly, moving from newer approaches to more established ones. This will ensure that there is less resistance to change, less requirement for training, and a more rapid transition [38].…”

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