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Hindrance of Applying Big Data Technology for Construction Management in Thai Government

Boonyarit Chonpitakwong 1, Wuttipong Kusonkhum 1, Tanayut Chaitongrat 2, Korb Srinavin 1, and Phatsaphan Charnwasununth 3
1. Department of Civil Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen, Thailand
2. Faculty of Architecture, Urban Design and Creative Arts, Mahasarakham University, Mahasarakham, Thailand
3. Faculty of Architecture, Chulalongkorn University, Bangkok, Thailand

Abstract—The ability to process large amounts of data and to extract useful insights from data has revolutionized society. Even in the construction industry, there are many researcher efforts developing this industry with Big Data Technology. Despite the accrual opportunities and benefits accruable from Big Data in this industry, some challenging issues remain of concern. This paper will discuss the overview of hindrance factors that affect the Thai government in implementing Big Data technologies across various domain applications of the construction industry. This research employed the qualitative research approach to find hindrance factors of applying Big Data Technology in construction management in the Thai government. Semi-structured interviews were used to collect data from 7 government departments in Thailand working with Big Data Technology. The typology analysis was used for analysis data. The findings show that the government has been creating a new policy effort to apply Big Data technology, but they should be improving the infrastructure for supporting Big Data technology to address the many issues in implementation.
Index Terms—big data technology, hindrance factor, Thai government, construction management

Cite: Boonyarit Chonpitakwong, Wuttipong Kusonkhum, Tanayut Chaitongrat, Korb Srinavin, and Phatsaphan Charnwasununth, "Hindrance of Applying Big Data Technology for Construction Management in Thai Government," Journal of Advances in Information Technology, Vol. 12, No. 2, pp. 159-163, May 2021. doi: 10.12720/jait.12.2.159-163

Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.