A Study on the CM at Risk Business Model using Business Model Canvas

비즈니스 모델 캠버스(BMC)를 이용한 시공책임형 CM 비즈니스 모델에 관한 연구

  • Received : 2016.01.27
  • Accepted : 2016.03.17
  • Published : 2016.05.31


The domestic market of CM at Risk has not been activated yet. It was analyzed duo to the fact that construction owners didn't have confidence in CM at Risk, because of the concerns regarding CM firms reliability, service, specialty, system and feasibility. Therefore, this study analyzed the problems to find the reason for declines in orders through a business diagnosis based on the Business Model Canvas(BMC) and set up the direction of business model improvement with one on one expert interviews. Additionally, we suggested the sub-activities for the business model improvements of CM at Risk service that are divided into 9 building blocks. Through this method, we determined that we would need preceding innovation activities such as good communication with customers, reinforcement of subcontract and excellence in project operations to convert the successful practice and settlement of the CM business model based in BMC. It is expected that the business model suggested from this study would contribute to improvement of CM at Risk competition and the differentiation strategy when compared with other firms. Also, it would be used a basis data to develop CM at Risk business model in the future.


CM at Risk;Business Model Canvas;CM at Risk Business Model


  1. Akane, M., and Kral, B., (2012). "Application of the Business Model Canvas to a Japanese Local Community to Co-design the Social Business Model." The Korea Contents Society, 10(2), pp. 165-166.
  2. Construction Association of Korea (CMK) (2016). "Change of amount of orders in domestic construction." Construction statistics, (Jan. 6, 2016).
  3. ENR., (2015). "The Top 100 CM at Risk." ENR, RS. Means, (Jan. 6, 2016).
  4. Goo, B. K, Lee, G., H, Kim, G. T, and Park, B. R., (2014). "Green Remodeling Business Model." Remodeling, 52, pp. 44-51.
  5. Harne, M. (2013). "Making a Business Case for LID(Low Impact Development) Treatment Methods." Ports, pp. 29-38.
  6. Hwang, J. H, Han, H., and Hwang, C. G., (2013). "A Study on the Application of Architecture Business Model Canvas of Urban Single Houses on the Viewpoints of Prosumer." The Korea Institute of Electronic Communication Sciences, 8(10), pp. 1505-1514.
  7. Lee, H. L., and Park, C. H. (2016). "Construction Business View in 2016." Construction Economy Research Institute of Korea, pp. 45-47.
  8. Lee, H. L., and Park, C. H. (2015). "Domestic and Overseas Construction Market forecasts and Pending Issues." Construction Economy Research Institute of Korea, pp. 35-40.
  9. Lee, Y. M., and Rim, M. H., (2013). "A Study on the Smart Work Center Model Based on the Sharing Economy using the BMC(Business Model Canvas)." Journal of Information Technology Applications & Management, 20(4), pp. 165-189.
  10. Ministry of Land infrastructure and Transport(MOLIT)., (2015) "Domestic Construction Management Capability in 2015. (Jan. 15, 2016).
  11. Osterwaldr, A., and Pigneur, Y. (2005). "Clarifying Business Models; Origins, Present and future of the Concept." Communications of the Association for Information Systems, 16(1), pp. 1-25.
  12. Osterwaldr, A., and Pigneur, Y. (2010). "A Handbook for Visionaries, Game Changers, and Challengers." Chichester; John Wiley&Sons.
  13. Park, K. (2013). "Development of standard operating systems for risk reduction of cm company site operations." Ph.D thesis, Kwangwoon Univ., Seoul, Korea.
  14. Park, K., Lee, H.W., and Kim, C. (2014). "Assessment of risk management practices of CM enterprises: The need for an enterprise-level risk management framework." Korean Journal of Construction Engineering and Management, KICEM, 15(3), pp. 66-73.
  15. Park, K., and Kim, C. (2016) Improvement through Analysis of Current Open Book Policy for the Korean CM at Risk, Korean Journal of Construction Engineering and Management, KICEM, 17(2), pp. 3-9.

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Supported by : 한국연구재단