Abstract
Despite the effort of Korean government to vitalize BIM adoption in AEC industry, the domestic adoption of BIM is still in its initial step. Particular in design field where medium and small firms being the majority, shows lower level of BIM adoption. The primary reason for this can be considered as lacking of necessities caused by uncertain benefits of BIM. Therefore, it is time to develop the objectives, quantifiable and qualitative measurement system of BIM performances. The purpose of this study is to suggest the BIM Performance Measurement System for architectural design firms. In achieving this, the authors have developed Balanced Scorecard (BSC) and validated its appropriateness by questionnaire survey with experts and performing statistical analysis. This development can be contributed to the voluntary BIM adoption by visualizing the detailed benefit of BIM and to the improvement of enterprise competitiveness by facilitating management of design process and estimating future outcome.
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Notes
- 1.
The result of the survey of 442 architecture design firms, “BIM performance and readiness survey” conducted by Korean Architects Association, 2014.5.
- 2.
SPSS (Statistical Package for the Social Sciences) developed by IBM is typical in software for data analysis in the social sciences.
- 3.
BIM I-CMM is the BIM maturity measurement software based on CMM model of software engineering. It is developed by FIC (Faculty Information Council) in NIBS (National Institute of Building Science) in 2007.
- 4.
bimScore is the BIM maturity measurement service model based on BSC which is developed by bimScore Inc, from 2013. (https://www.bimscore.com/).
- 5.
BIM3 (BIM Maturity Model) is a performance evaluation tools related to BIM practice, developed by the University of Newcastle, Australia.
References
Kim, W., et al.: Survey and Implications of Utilizing BIM in Construction Company. Construction & Economy Research Institute of Korea, Korea (2012)
Becerik-Gerber, B., Rice, S.: The percieved value of building information modeling in the U.S. building industry. ITcon 25, 185–201 (2010)
Radhkrishnan, A., et al.: A process-oriented perspective on differential business value creation by information technology: a empirical investment. Omega 36, 1105–1125 (2008)
Song, M., et al.: BSC based measurement of satisfaction degree for based BIM construction project. Korean J. Constr. Eng. Manag. 12, 117–129 (2011)
Lee, J., Lee, J.: A study on BIM capability evaluation for design organizations. J. Archit. Inst. Korea Planning Design 27(6), 257–266 (2011)
Seo, J., Choo, S.: A study on cost-benefit analysis of BIM-based integrated design process in Korean architectural offices. Int. J. CAD/CAM 15, 261–270 (2010)
Barlish, K., Sullivan, K.: How to measure the benefits of BIM – a case study approach. Autom. Constr. 24, 149–159 (2012)
Kang, T., et al.: A Study on the Development Direction of a BIM Performance Assessment Tool. Korean J. Space Inf. 21, 53–62 (2013)
Im, J.: Study on using BSC framework to develop CSF & KPI for IT performance measure on IT organization and examining the relation of cause and effect in indicators, Master dissertation, Yonsei University (2006)
Grembergen, W.: Information Technology Governance Through the Balanced Scorecard, pp. 199–211. IDEA Group Publishing, Hershey (2001)
Lee, Y.: IT performance of small and medium firms : a comparison between manufacturers and non-manufacturers, Master dissertation, Hankuk University of Foreign Studies (2014)
Olve, N., et al.: Performance Drivers : A Practical Guide to Using the Balanced Scorecard. Haneon Books, Seoul (2000)
Choi, D.: (Easy to Know) BSC. KOMIT Publishing, Seoul (2004)
Min, J.: Performance evaluation of knowledge workers in knowledge-based organization. Korean J. Manag. Sci. 25, 137–154 (2000)
Kim, H.: A case study on the establishing public IT organization’s performance measurement model through the IT BSC, Master dissertation, Soongsil University (2008)
Kaplan, S. and Noton, P.: Using the Balanced Scorecard as a Strategic Management System, Harvard Business Review, January-February, 75–85 (1996)
Seo, J., et al.: The development of an evaluation model for the work environment of the BIM-based architectural design firms. J. Archit. Inst. Korea Planning Design 28(5), 95–105 (2012)
Cha, S., Kim, T.: Developing measurement system for key performance indicators on building construction projects. Korean J. Constr. Eng. Manag. 9, 120–130 (2008)
Kim, E., et al.: A Study on Building the Work Environment to Utilize BIM for Domestic Architectural Firms. J. Archit. Inst. Korea Planning Design 30(3), 121–128 (2014)
Kim, J., Lee, Y., Kim, S.: Perceived IT performance and contextual factor of small firms in Korea: an explorative study. J. Inf. Prof., pp. 23–41 (2004)
Caleb&Company: Performance drivers, pp. 36–129. Hanun, Seoul (2000)
Won, T., Jung, S.: Statistical Research SPSS PASW STATISTICS 18.0, pp. 343–357. Hanara Academi, Seoul (2010)
Acknowledgements
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2010-0029196). This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (No. 2013R1A1A2065654).
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Shin, J., Choi, J., Kim, I. (2015). Development of BIM Performance Measurement System for Architectural Design Firms. In: Celani, G., Sperling, D., Franco, J. (eds) Computer-Aided Architectural Design Futures. The Next City - New Technologies and the Future of the Built Environment. CAAD Futures 2015. Communications in Computer and Information Science, vol 527. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47386-3_19
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