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http://dx.doi.org/10.6106/KJCEM.2022.23.5.003

Association Rules Analysis Between the Types and Causes of Disputes in Construction Projects  

Jang, Se Rim (Department of Architecture, Sejong University)
Kim, Han Soo (Department of Architecture, Sejong University)
Publication Information
Korean Journal of Construction Engineering and Management / v.23, no.5, 2022 , pp. 3-14 More about this Journal
Abstract
Construction projects have high potentials of claims among a variety of stakeholders. Claims on their own are not disputes but they have high potentials leading to disputes if agreements are not made between parties due to conflicting opinions. In the event of the construction disputes between clients and contractors, it could give negative impacts to both parties and, to minimize or pro-actively manage construction disputes, the role of clients is more significant. The objective of the study is to analyze a level of associations between the types of disputes and causes of construction projects based on the association rule analysis, and to identify and discuss key characteristics and implications from client's perspectives. The study analyzes associations between the types of disputes and causes, and also identifies those with a high level of associations. It also presents the outcomes of more systematic analysis compared to descriptive statistics just based on frequencies. Through the analysis of the data cases, the study proposes the directions to resolve the causes of disputes from client's perspectives. It can assist to improve understandings of the relationships between the types of disputes and causes and to pro-actively manage the disputes of construction projects.
Keywords
Construction Dispute; Types of Disputes; Causes of Disputes; Association Rule Analysis; Machine Learning;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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1 Chong, Y.K. (2003). "A Study on the Analysis of Restaurant Customers' Behavior Patterns Using Association Rules." Korean Journal of Hospitality and Tourism, KHTA, 12(2), pp. 1-22.
2 Chen, Y.Q., Zhang, Y.P., ASCE, M., and Zhang, S.J. (2014). "Impacts of Different Types of Owner-Contractor Conflict on Cost Performance in Construction Projects." Journal of Construction Engineering and Management, ASCE, 140(6), pp. 1-8.
3 Fatima, A., Seshadri, S.T., and Hussain, A.B.S.M. (2014). "Analysis of Construction Dispute Resolution Process Using Artficial Neural Networks." International Journal of Innovative Research and Development, IRD, 3(7), pp. 81-86.
4 Han, J., Pei, J., and Kamber, M. (2012). Data Mining: Concepts and Techniques, Elsevier.
5 Kang, H.C. (2007). Using SAS Enterprise Miner Data Ming: Methodology and Utilization, freeaca.
6 Kang, H.C., Yang, K.T., Kim, C.S., Rhee, Y.J., and Rhee, B.K.(2010). "A Time-based Apriori Algorithm." The Transactions of The Korean Institute of Electrical Engineer, KIEE, 59(7), pp. 1327-1331.   DOI
7 Kim, J.D. (2014). "A Study on comparative of Apriori Algorithm and LASSO in Customer Relationship Management(CRM)." Master Thesis, Journal of Seoul Univ, Seoul Uniz, Seoul, Korea.
8 Kim, J.H., Im, H.K., and Choi, J.H. (2016). "Forecasting the Effects of the Claims in the Korean Construction Industry." Korean Journal of Construction Engineering and Management, KICEM, 17(8), pp. 35-45.   DOI
9 Kim, S.K., and Oh, C.H. (2018). "Comparison of Data Collection Methods for Big Data Analysis." Proceeding of the Korea Institute of Information and Communication Engineering, KIICE, pp. 422-424.
10 Chaphalker, N.B., Lyer, K.C., and Patil. S.K. (2015). "Prediction of Outcome of Construction Dispute Claims Using Multilayer Perceptron Neural Network Model." International Journal of Project Management, ELESEVIER, 33(8), pp. 1827-1835.   DOI
11 Korea Database Agency. (2019). The Guide for Advanced Data Analytics Professional, ADP, vADsP, Kdata.
12 Korean Commercial Arbitration Board (KCAB) (2021). 2020 Claim Statistics, Korean Commercial Arbitration Board.
13 Lee, S.J. (2013). "Factor Analysis of Negative SNS Behaviors Using Association Rules." The Journal of Korean Association of Computer Education. KACE, 16(2), pp. 61-68.   DOI
14 Lee, S.M. (2019). Big Data Analytics-Methodologies for Human Sciences, yspublish.
15 Lim, J.S., Han, S.G., Kang, Y.C., and Kang, S.H. (2021). "Affinity Analysis between Factors of Fatal Occupational Accidents in Construction Using Data Mining Techniques." Korean Journal of Construction Engineering and Management, KICEM, 22(5), pp. 29-38.   DOI
16 Son, K.Y., and Ryu, H.G. (2019). "Association Rules Analysis of Safe Accidents Caused by Falling Objects." Journal of the Korea Institute of Building Construction, KIBC, 19(4), pp. 341-350.   DOI
17 Mahamid, I. (2016). "Micro and Macro Level of Dispute Causes in Residential Building Projects: Studies of Saudi Arabia." Journal of King Saud University - Engineering Sciences, ELESVIER, 28(1), pp. 12-20.   DOI
18 Park, S.Y., Yang, J.K., Kim, B.O., and Lee, S.B. (2009). "Identifying and Analyzing Pre-Dispute Factors for Construction Projects." Korean Journal of Construction Engineering and Management, KICEM, 10(6), pp. 48-57.
19 Shin, D.P., Son, C.B., and Lee, D.E. (2012). "Association Analysis of Construction Accident Attributes Causing Fatalities." Journal of the Architectural Institute of Korea Structure & Construction, AIK, 28(2), pp. 87-94.   DOI
20 Verma, A., Khan, S.D., Maiti, J., Krishna, O.B. (2014). "Identifying Patterns of Safety Related Incidents in a Steel Plant using Association Rule Mining of Incident Investigation Reports." Safety Science, ELESEVIER, 70, pp. 89-98.   DOI
21 Jeong, C.W., and Kim, J.J. (2012). "Analysis of Foresight Keywords in Construction using Complexity Network Method." Journal of the Korean Digital Architecture Interior Association, KDAI, 12(2), pp. 15-23.
22 Jeon, Y.W., Kim, K.M., and Choi, J.H. (2015). "The Main Causes of Construction Claims Derived Through the Analysis of Claims Cases." Proceedings of the national university student conference, KICEM, 10, pp. 23-26.
23 Kim, M.J., and Kim, C.J. (2017). "Trend Analysis of News Articles Regarding Sungnyemun Gate Using Text Mining." The Journal of the Korea Contents Association, KCA, 17(3), pp. 474-485.   DOI
24 Ugur, O., Arisoy, A.A., Ganiz, M.C., and Bolac, B. (2021). "Descriptive and Prescriptive Analysis of Construction Site Incidents Using Decision Tree Classification and Association Rule Mining." Advancing Technology for Humanity, 2021 International Conference on Innovations in Intelligent Systems and Applications.
25 Park, H.C. (2010). "Standardization for Basic Association Measures in Association Rule Mining." Journal of the Korean Data & Information Science Society, KDISS, 21(5), pp. 891-899.
26 Lee, C.K., Yu, T.W., and Cheung, S.O. (2015). "Selection and Use of Alternative Dispute Resolution (ADR) in Construction Projects - Past and Future Research." International Journal of Project Management, ELESEVIER, 34(3), pp. 494-507.   DOI
27 Choi, H.J., Ahn, S.H., and Yu, J.H. (2016). "Analysis of Dispute Cases in Construction Projects Focused on Arbitration Cases of Korean Commercial Arbitration Borad." Proceedings of the national university student conference, KICEM, pp. 11-14.
28 Groton, J.P., and Haapio, H. (2007). "From Reaction to Proactive Action: Dispute Prevention Processes in Business Agreements." Open Access Library Journal, Researchgate, 8(3).
29 Kim, H.S., and SAMOOCM. (2017). Owner Navigator, Spacetime.
30 Kim, J.M., and Ryu, K.R. (2014). "Comparison of Association Rule Learning and Subgroup Discovery for Mining Traffic Accident Data." Journal of Intelligence and Information Systems, Intelligence and Information Systems, 21(3), pp. 1-16.
31 Oh. Y.G. (2013). "A Study on Estimating Risk of Design Change for Managing Apartment Project Efficiently." Doctor Thesis, Journal of Hanyang, Hanyang Univ, Seoul, Korea.
32 Kim, Y. (2012). "A Study on Design and Implementation of Personalized Information Recommendation System based on Apriori Algorithm." Journal of the Korean Biblia Society for Library and Information Science, KBSLIS, 23(4), pp. 283-308.   DOI
33 Chaphalker, N.B., and Patil. S.K. (2012). "Decision Support System for Dispute Resolution in Construction Contracts." Journal of civil Engineering, Korean Society of Civil Engineers, 16(4), pp. 499-504.
34 Lee, Y.I., Hong S.E., Kim, J.Y., and Park, S.H. (2006). "Analyzing the Location Decision of the Large-Scale Discount Store Using the Spatial Association Rules Mining." Proceeding of the Korean Geographical Society, KGS, 41(3), pp. 319-330.
35 Rauzana, A. (2016). "Causes of Conflicts and Disputes in Construction Projects." Journal of Construction Engineering and Management, ISOR-JMCE, 13(5), pp. 44-48.
36 Song, X.L., Xu, J.P., Sehn, C., and Fenioshy, P.M. (2018). "Conflict Resolution-Motivated Strategy Towards Integrated Construction Site Layout and Material Logistics Planning: A Bi-Stakeholder Perspective." International Research Journal of Automation in Construction. ELESEVIER, 136, pp. 138-157.
37 Won, E.S., and Kim, S.Y. (2020). "An Analysis of Consumers Purchasing Patterns for Fresh Food Products Using Association Rules." Journal of Agriculture & Life Science, Institute of Agriculture & Life Science, Gyeongsang National University, 54(4), pp. 111-122.   DOI