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ISSN:
1798-2340 (Online)
Frequency:
Monthly
DOI:
10.12720/jait
Indexing:
ESCI (Web of Science)
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, EBSCO,
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Impact Factor 2023: 0.9
4.2
2023
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Editor-in-Chief
Prof. Kin C. Yow
University of Regina, Saskatchewan, Canada
I'm delighted to serve as the Editor-in-Chief of
Journal of Advances in Information Technology
.
JAIT
is intended to reflect new directions of research and report latest advances in information technology. I will do my best to increase the prestige of the journal.
What's New
2025-04-02
Included in Chinese Academy of Sciences (CAS) Journal Ranking 2025: Q4 in Computer Science
2025-03-20
JAIT Vol. 16, No. 3 has been published online!
2025-02-27
JAIT has launched a new Topic: "Human-Computer Interaction (HCI) in Modern Technological Systems."
Home
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Published Issues
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2021
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Volume 12, No. 2, May 2021
>
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.
11-R2015_Thailand
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