Main Article Content
Aim: The aim of this study is to assess benefit of BIM as a collaborative knowledge management tool for construction professionals.
Study Design: It was a mixed design research, the study was effected via literature review and a well-structured questionnaire. Likewise, interviews were carried out to substantiate the findings of the questionnaire survey.
Place and Duration of the Study: The study was conducted in Kaduna State, Nigeria for a period of 2 years.
Methodology: Being a mixed design research, a total of 250 questionnaires were administered and 235 were properly completed and returned representing a percentage response of 94%. Data garnered were analysed using relative importance index and presented in tables and charts.
Results: The study found that 94% of construction industry’s professionals are familiar with the concept of BIM but 94.47% of them never applied it whereas 4.68% rarely apply BIM, while 0.85 often apply BIM. Also, the research identified that all the thirteen areas where BIM can be used as a KM tool for collaboration among construction professionals were significantly important, however, Constructability Reviews and 4D Simulations which involves providing an interface to visualize the entire structure and simulate the construction process stood out as the most important.
Conclusion: The study concludes by recommending that the built environment professional bodies in Nigeria should carry out a proper sensitization programme in-order to train and retrain professionals in Nigerian construction industry as regards BIM tools and its applications. Also, BIM should be introduced as an integral part of the school curriculum for the training of future construction professionals so equipped them with the requisite BIM knowledge.
Laura Tupenaite, Loreta Kanapeckiene, Jurga Naimaviciene. Knowledge management model for construction projects. The 8th International Conference Reliability and Statistics in Transportation and Communication. 2008;313-320.
Carrillo P. Managing knowledge: Lessons from the oil and gas sector. Construction Management and Economics. 2004;22(6): 631-642.
Kaklauskas A, Zavadskas EK, Gargasaitė L. Expert and knowledge systems and data-bases of the best practice. Technological and Economic Development of Economy. 2004;10(3):88-95.
DeTienne KB, Jensen RB. Intranets and business model innovation: Managing knowledge in the virtual organization. In: Knowledge Management and Business Model Innovation / Malhotra Y. (Ed.). Hershey, PA: Idea Group Publishing. 2001; 198-215.
Ogunlana S, Siddiqui Z, Yisa S, Olomolaiye P. Factors and procedures used in matching projectmanagers to construction projects in Bangkok. International Journal of Project Management. 2002;20:385-400.
Hesham Saleh Ahmad. Development of Km model for knowledge management implementation and application in construction projects. A thesis submitted to the University of Birmingham for the degree of Doctor of Philosophy. School of Civil Engineering College of Engineering and Physical Sciences the University of Birmingham; 2000.
Carton F, Adam F, Sammon D. Project management: A case study of a successful ERP implementation. International Journal of Managing Projects in Businesses. 2008; 1:106-124.
Sargent K, Hyland P, Sawang S. Factors influencing the adoption of information technology in a construction business. Australasian Journal of Construction Economics and Building. 2012;12:72-86.
Venkatesh V, Morris MG, Ackerman PL. A longitudinal field investigation of gender differences in individual technology adoption decision-making processes. Organizational Behavior and Human Decision Processes. 2000;83:33-60.
EI Wardani MA, Messner JI, Horman MJ. Comparing procurement methods for design-build projects. ASCE Journal of Construction Engineering and Management. 2006;132:230-238.
Wasko M, Faraj S. It is what one does: Why people participate and help others in electronic communities of practice. Journal of Strategic Information Systems. 2000;9: 155-173.
Hall H. Borrowed theory: Applying exchange theories in information science research. Library and Information Science Research. 2003;25:287-306.
Abdul-Rahman H, Wang C, Ya XW. How professional ethics impact construction quality: Perception and evidence in a fast developing economy. Scientific Research and Essays. 2010;5(23):3742-3749.
Taylor J, Bernstein P. Paradigm trajectories of building information modeling practice in project networks. Journal of Management in Engineering. 2009;25:69-76.
Smith D. An introduction to Building Information Modeling (BIM). Journal of Building Information Modeling. 2007; 12-14.
Eastman C, Teicholz P, Sacks R, Liston K. BIM handbook: A guide to Building Information Modeling for owners, managers, designers, engineers and contractors. Wiley & Sons, Inc; 2011.
Goedert J, Meadati P. Integrating construction process documentation into building information modeling. Journal of Construction Engineering and Management. 2008;134:509-516.
Howell I, Batcheler B. Building Information Modeling two years later-huge potential, some success and several limitations; 2005. Available:http://www.laiserin.com/features/bim/newforma_bim.pdf
(Retrieved on Nov. 2012)
Chen M, Ebert D, Hagen H, Laramee RS, Van Liere R, Ma KL, Ribarsky W, Scheuermann G, Silver D. Data, information, and knowledge in visualization. IEEE Computer Graphics and Applications. 2009;29:12-19.
Davenport TH, Prusak L. Working knowledge: How organizations manage what they know. Harvard Business Press. 2000;1998.
Howard W. Ashcraft building information modeling: A framework for collaboration. Project Management. Construction Lawyer. 2008;28(3).
Fellows R, Liu A. Research methods for construction. London: Blackwell; 2003.
Kapoor VK. Modern approach to fundamentals of statistics for business and economics. New Delhi: Chand & Sons Publishers; 2010.
Moser CA, Kalton G. Survey methods in social investigation, UK: Heinemann Educational; 1971.