$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

SWOT분석을 통한 CM사 견적업무 빅데이터 활용전략에 관한 연구
A Study on the Strategy of the Use of Big Data for Cost Estimating in Construction Management Firms based on the SWOT Analysis 원문보기

한국건설관리학회논문집 = Korean journal of construction engineering and management, v.23 no.2, 2022년, pp.54 - 64  

김현진 (세종대학교 건축학과) ,  김한수 (세종대학교 건축학과)

초록
AI-Helper 아이콘AI-Helper

빅데이터 활용에 대한 관심이 높아짐에 따라, 건설산업에서도 빅데이터와 관련한 다양한 연구개발이 이루어지고 있다. 건설산업의 다양한 분야 중 견적업무는 빅데이터의 활용성이 높은 분야로 인식되고 있다. 견적업무에서 빅데이터를 효과적으로 활용하기 위해서는, 기업의 내외부 현황을 다면적으로 이해하고 이에 적합한 활용전략을 수립하는 것이 필요할 것이다. 본 연구의 목적은 국내 CM사 견적업무에서의 빅데이터 활용현황을 조사하고, SWOT기법을 활용하여 CM사 견적업무에서 빅데이터를 활용하기 위한 전략 방향을 개발하고 제시하는데 있다. 문헌조사, 설문조사, 인터뷰 조사 및 SWOT분석을 바탕으로 CM사는 기업의 높은 수용 문화와 정보 자원을 적극 활용하고, 부족한 빅데이터 실무기반과 인적자원을 보강하는 전략이 필요한 것으로 제안하였다.

Abstract ▼ AI-Helper 아이콘AI-Helper

Since the interest in big data is growing exponentially, various types of research and development in the field of big data have been conducted in the construction industry. Among various application areas, cost estimating can be a topic where the use of big data provides positive benefits. In order...

주제어

#CM사   #견적   #빅데이터   #SWOT기법   #빅데이터 활용 전략  

표/그림 (3)

참고문헌 (34)

  1. Ahmadi, M., and Dileepan, P. (2016). "A SWOT Analysis of Big Data." Journal of Education for Business-In Review, Education for Business-In Review, 91(5), pp. 2-12. 

  2. Atuahene, B.T., Kanjanabootra, S., and Gajendran, T. (2020). How is the Construction Industry Developing Expertise for Big Data Application. 18th Engineering Project Organization Conference Research Report. 

  3. Bilal, M., Oyedele, L.O., Qadir, J., Munir, K., Ajayi, S.O., Akinade, O.O., Owolabi, H.A., Alaka, H.A., and Pasha, M. (2016). "Big Data in The Construction Industry: A Review of Present Status, Opportunities, and Future Trends." Journal of Retailing, Elsevier, 30(3), pp. 500-521. 

  4. Cho, M.D. (2014). Proposed Potential Value of Big Data Utilization in the Construction, 2014 Daelim Technical Review, Daelim Industry Research Report. 

  5. Chun, J.Y. (2015). "A SWOT Analysis for Improving the Sharing Based Product Design Process." Journal of Korea Digital Design Council, Korea Digital Design Council, 15(3), pp. 889-897. 

    상세보기 crossref

  6. Garayaev, N., and Garyaeva, V. (2019). "Big Data Technology in Construction." Journal of edp Science E3S web of Conference, edp Science, 97(4), pp. 1-6. 

  7. Han, H., Seo, J.I., and Lee, H,.S. (2013). Status and Prospect of Big Data Industry, Korea Institute of Science and Technology Information (KISTI) Research Report. 

  8. Han, J.H., and Kim, H.S. (2017). "Analysis of the Trends of Construction Technology Development based on Big Data - Focused on Construction Patents in Relation to the 4th Industrial Revolution ICT Technologies." Korean Journal of Construction Engineering and Management, KICEM, 18(5), pp. 20-31. 

    원문보기 상세보기 crossref

  9. Han, K.J., Lee, H.S., Park, M.S., and Ji, S.H. (2008). "Cost Estimation Methodology Using Database Layer in Construction Projects." Journal of Architectural Institute of Korea Structure & Construction, Architectural Institute of Korea Structure & Construction, 24(10), pp. 470-475. 

  10. Hashemi, S.T., Ebadati, O.M., and Kaur, H. (2020). Cost Estimation and Prediction in Construction Projects: A Systematic Review on Machine Learning Techniques. SN Applied Science Research Report, Review Paper. 

  11. Jung, S.W., and Park, H.S. (2019). Diagnosis and Evaluation of Data Science Capabilities, Korea Policy Center for the Fourth Industrial Revolution (KCP4IR) Research Report, Issue Paper No. 10. 

  12. Kang, K.I. (2019). "Improve Productivity of Construction using IT and ICT." Journal of The Korea Institute of Building Construction (KIC), KIC, 19(3), pp. 2-3. 

  13. Kang, S.H., Kim, W.Y., and You, W.S. (2014). Construction Companies' Perceptions of Big Data and Directions for Future Responses, Construction & Economy Research Institute of Korea(CERIK) Research Report. 

  14. Kim1, S.H., Choi, J.K., and Hong, P.K. (2018). "Big Data Capability Model Development through AHP." Journal of Information Technology and Architecture, Information Technology and Architecture, 15(3), pp. 297-306. 

    crossref

  15. Kim2, S.I., Ahn, J.W., and Jo, J.H. (2018). "A Study on The Establishment of the Foundation for the Use of Big Data in the Construction Industry," Korea Research Institute for Human Settlement (KRIHS) Research Report, pp. 18-17. 

  16. Khalaf, T.Z., Caglar, H., Caglar, A., and Hanoon, A.N. (2020). "Particle Swarm Optimization Based Approach for Estimation of Costs and Duration of Construction Projects." Journal of Civil Engineering Journal (C.E.J), Civil Engineering Journal (C.E.J), 6(2), pp. 384-401. 

  17. Kim, G.H., Yoon, J.E., An, S.H., Cho, H.H., and Kang, K.I. (2004). "Neural Networ Model Incorporating a Genetic Algorithm Inestimating Construction Costs." Journal of Retailing, Elsevier, 39(11), pp. 1333-1340. 

  18. Kim, M.J. (2020). "A Study on the SWOT Analysis and Development Strategies for Social Economy Organizations: Focused on Chungnam, Daejeon, and Sejong." Journal of National Technology Management Research Institute (NTRI), NTRI, 5(1), pp. 73-89. 

  19. Koo, B.S. (2015). "Special Session 4-Emerging Big Data Paradigms in the AEC Industry." Korean Journal of Construction Engineering and Management, KICEM, 16(6), pp. 45-49. 

  20. Laptev, N., Zeng, K., and Zaniolo, C. (2013). "Very Fast Estimation for Result and Accuracy of Big Data Analytics: the EARL System." Journal of 2013 IEEE 29th International Conference on Data Engineering, Institute of Electrical and Electronics Engineers (IEEE), 8(12), pp. 1296-1299. 

  21. Lim, C.S., and Ban, S.J. (2004). "Organizational Capabilities of Provincial Office of Education: A SWOT Analysis." Journal of Educational Administration, Educational Administration, 22(2), pp. 373-396. 

  22. Lu, W., Lai, C.C., and Tse, T. (2019). BIM and Big Data for Construction Cost Management, Routledge Taylor & Francis Group. 

  23. Mandicak, T., Mesaros, P., Kanalikova, A., and Spak, M. (2021). "Supply Chain Management and Big Data Concept Effects on Economic Sustainability of Building Design and Project Planning." Journal of Applied Science, Applied Science, 11(23), pp. 1-15. 

  24. Oudjehane, A., and Moeini, S. (2017). Big Data in Construction Projects: Risk and Opportunity Management. Southern Alberta Institute of Technology (SAIT) Research Report. 

  25. Petruseva, S., Zujo, V.., Pancovska, V.Z., and Vejzovic, A.B. (2017). "Construction Costs Forecasting: Comparison of The Accuracy of Linear Regression and Support Vector Machine Models." Jounal of Tehnicki vjesnik-Technical Gazette, Tehnicki vjesnik-Technical Gazette, 24(5), pp. 1431-1438. 

  26. Pyo, C.G., Park S.S., Kim, S.K., and Do, Y.H. (2018). "A Study on the Information and Communication Industry's Response to the Fourth Industrial Revolution." Korea Information & Communication Industry Institute (KICI) Research Report. 

  27. Renz, A., and Solas, M.Z. (2016). "Shaping the Future of Construction: A Breakthrough in Mindset and Technology." World Economic Forum Research Report. 

  28. Resnikov, S. (2021). "SWOT Analysis of Big Data." Master Thesis, Journal of FH Technikum Wien Austria, FH Technikum Wien Austria, Wein, Austria. 

  29. Snyder, J.P., Menard, A., and Spare N. (2018). "Big Data Big Question for the Engineering and Construction Industry." FMI Corporation Research Report, Industry Focus, Powerful Results. 

  30. Telecommunications Technology Association (TTA) (2019). SW.Computing - Big Data, TTA Research Report. 

  31. Um, S.J. (2017). "Fourth Industrial Revolution, Construction Industry, and CM." Korean Journal of Construction Engineering and Management, KICEM, 18(4), pp. 1-5. 

  32. Weng, W.H., and Lin, W.T. (2014). "Development Trends and Strategy Planning in Big Data Industry." Journal of Contemporary Management Research, Contemporary Management Research, 10(3), pp. 203-214. 

    상세보기 crossref

  33. You, M.G. (2009). "A Study on Improving Estimating Practices of Building Projects Using BIM." Master Thesis, Journal of Chung-ang Univ, Chung-ang Univ, Seoul, Korea. 

  34. Yousif, O.S., Zakaria, R.B., Aminudin, E., Yahya, K., Sam, A.R.M., Singaram, L., Munikanan, V., Yahya, M.A., Wahi, N., and Shamsuddin, S.M. (2021). "Review of Big Data Integration in Construction Industry Digitalization." Journal of Frontiers in Built Environment, Frontiers in Built Environment, 18(7), pp. 1-13. 

저자의 다른 논문 :

관련 콘텐츠

오픈액세스(OA) 유형

GOLD

오픈액세스 학술지에 출판된 논문

섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로