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Akhavian, R and Behzadan, A H (2013) Knowledge-Based Simulation Modeling of Construction Fleet Operations Using Multimodal-Process Data Mining. Journal of Construction Engineering and Management, 139(11).
Chou, J, Irawan, N and Pham, A (2013) Project Management Knowledge of Construction Professionals: Cross-Country Study of Effects on Project Success. Journal of Construction Engineering and Management, 139(11).
De Jarnette, V, McCarthy, L M, Bennert, T and Guercio, M C (2013) Use of Mechanistic-Empirical Pavement Design Principles to Assign Asphalt Pavement Pay Factor Adjustments. Journal of Construction Engineering and Management, 139(11).
El Asmar, M, Hanna, A S and Loh, W (2013) Quantifying Performance for the Integrated Project Delivery System as Compared to Established Delivery Systems. Journal of Construction Engineering and Management, 139(11).
Goedert, J D and Sekpe, V D (2013) Decision Support System–Enhanced Scheduling in Matrix Organizations Using the Analytic Hierarchy Process. Journal of Construction Engineering and Management, 139(11).
Hindman, D P, Timko, P D and Nussbaum, M A (2013) Mechanical Response of Unbraced Wood Composite I-Joist to Walking Loads. Journal of Construction Engineering and Management, 139(11).
Hwang, B and Soh, C K (2013) Trade-Level Productivity Measurement: Critical Challenges and Solutions. Journal of Construction Engineering and Management, 139(11).
Jiang, H, Xu, Y and Liu, C (2013) Construction Price Prediction Using Vector Error Correction Models. Journal of Construction Engineering and Management, 139(11).
Kang, Y, Kim, C, Son, H, Lee, S and Limsawasd, C (2013) Comparison of Preproject Planning for Green and Conventional Buildings. Journal of Construction Engineering and Management, 139(11).
Leung, M, Yu, J and Liang, Q (2013) Improving Public Engagement in Construction Development Projects from a Stakeholder’s Perspective. Journal of Construction Engineering and Management, 139(11).
Ning, Y and Ling, F Y Y (2013) Reducing Hindrances to Adoption of Relational Behaviors in Public Construction Projects. Journal of Construction Engineering and Management, 139(11).
Pikas, E, Sacks, R and Hazzan, O (2013) Building Information Modeling Education for Construction Engineering and Management. II: Procedures and Implementation Case Study. Journal of Construction Engineering and Management, 139(11).
Praticò, F G (2013) New Road Surfaces: Logical Bases for Simple Quality-Related Pay Adjustments. Journal of Construction Engineering and Management, 139(11).
Sacks, R and Pikas, E (2013) Building Information Modeling Education for Construction Engineering and Management. I: Industry Requirements, State of the Art, and Gap Analysis. Journal of Construction Engineering and Management, 139(11).
Thomas, A, Davis, B, Dadi, G B and Goodrum, P M (2013) Case Study on the Effect of 690 mpa (100 ksi) Steel Reinforcement on Concrete Productivity in Buildings. Journal of Construction Engineering and Management, 139(11).
Won, J, Lee, G, Dossick, C and Messner, J (2013) Where to Focus for Successful Adoption of Building Information Modeling within Organization. Journal of Construction Engineering and Management, 139(11).
- Type: Journal Article
- Keywords: Building information models; Organizations; Computer software; Building information modeling (BIM); Critical success factor (CSF); Organizational strategy; BIM software application; BIM service; BIM-assisted project; Information technologies;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000731
- Abstract:
Suggestions abound for successful adoption of building information modeling (BIM); however, a company with limited resources cannot adopt them all. The factors that have top management priority for successful accomplishment of a task are termed critical success factors (CSFs). This paper aims to derive the CSFs for four questions commonly asked by companies in the first wave of BIM adoption: (1) What are the CSFs for adopting BIM in a company? (2) What are the CSFs for selecting projects to deploy BIM? (3) What are the CSFs for selecting BIM services? (4) What are the CSFs for selecting company-appropriate BIM software applications? A list of consideration factors was collected for each question, based on a literature review, and then refined through face-to-face interviews based on experiences of BIM experts. An international survey was conducted with leading BIM experts. From the 206 distributed surveys, 52 responses from four continents were collected. This study used quantitative data analysis to derive a manageable number (4–10) of CSFs for each category from dozens of anecdotal consideration factors. The derived CSFs are expected to be used as efficient metrics for evaluating and managing the level of BIM adoption and as a basis for developing BIM evaluation models in the future.