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

Chonpitakwong, Boonyarit; Kusonkhum, Wuttipong; Chaitongrat, Tanayut; Srinavin, Korb; Charnwasununth, Phatsaphan

doi:10.12720/jait.12.2.159-163

Cited by 5 publications

(3 citation statements)

References 14 publications

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“…The goal of this system is to facilitate employers and contractors in the construction industry of the public sector. The system can store data but cannot be analyzed or applied immediately in accordance with the research that in the past, government agencies have been working on, which is in the early stages [12]. The Thai government's data collection procedures are effective and of high quality.…”

Section: Discussionmentioning

confidence: 99%

“…The benefits and possibilities of implementing machine learning in the Thai construction industry have been acknowledged by the Thai government [1]. Although difficulties might arise due to the ways in which Thai government agencies operate, the government will keep looking for solutions and methods of studying [12] the procurement system to understand how it has operated in the past [7]. Along with simplifying the procedure, estimating costs ahead of time and creating a budget-compliant estimate are important components of the procurement process [6,13].…”

Section: Introductionmentioning

confidence: 99%

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The Adoption of a Big Data Approach Using Machine Learning to Predict Bidding Behavior in Procurement Management for a Construction Project

Kusonkhum,

Srinavin,

Chaitongrat

2023

Sustainability

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Big data technologies are disruptive technologies that affect every business, including those in the construction industry. The Thai government has also been affected and attempted to use machine learning techniques with the analytics of big data technologies to predict which construction projects have a winning price over the project budget. However, this technology was never developed, and the government did not implement it because they had data obtained via a traditional data collection process. In this study, traditional data were processed to predict the behavior in Thai government construction projects using a machine learning model. The data were collected from the government procurement system in 2019. There were seven input data, including the project owner department, type of construction project, bidding method, project duration, project scale, winning price overestimated price, and winning price over budget. A range of classification techniques, including an artificial neural network (ANN), a decision tree (DC), and a K-nearest neighbor (KNN), were used in this study. According to the results, after hyperparameter tuning, the ANN had the greatest prediction accuracy of 78.9 percent. This study confirms that the data from the Thai government procurement system can be investigated using machine learning techniques from big data technologies.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Adoption of a Big Data Approach Using Machine Learning to Predict Bidding Behavior in Procurement Management for a Construction Project

Kusonkhum,

Srinavin,

Chaitongrat

2023

Sustainability

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“…Although there are few data integration technologies on construction, not all the tools are fully utilized due to certain issues (Chonpitakwong et al, 2021;Srinavin et al, 2021), such as lack of awareness and responsibility; the apparent lack of use of modern technologies to integrate data to obtain useful information in the fastest time, with minimal effort and cost; lack of proper training; and lack of advertising the tools and monetary allocation to manage the projects introduced. Encouragement from top management is very important to enhance the application of integration tools in the industry.…”

Section: Research In Big Data Integration From the Construction Industry Perspectivementioning

confidence: 99%

Review of Big Data Integration in Construction Industry Digitalization

Yousif

Zakaria

Aminudin

et al. 2021

Front. Built Environ.

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The 2030 agenda for sustainable development has embraced the importance of sustainable practices in the construction industry. Parallel to the Industry revolution 4.0, the construction industry needs to keep pace with technological advances in data management to keep pace with the revolution through the ability to process and extract value from data. This phenomenon attracts the requirement of Big Data (BD). The construction industry deals with large volumes of heterogeneous data, which is expected to increase exponentially following an intense use of modern technologies. This research presents a comprehensive study of the literature, investigating the potential application of BD integration in the construction industry. The adoption of such technologies in this industry remains at a nascent stage and lags broad uptake of these technologies in other fields. The Construction Industry is driving to boost its productivity through the implementation of data technologies; hence, significant research is needed in this area. Currently, there is a lack of deep comprehensive research on BD integration applications that provide insight for the construction industry. This research closes the gap and gives an overview of the literature. The discussion presented the current utilization, the issues, and ways for potential works along with the challenges companion with the implementation.

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The feasibility study of the application of Big Data to predict delay situations in construction projects with daily report data.

Srinavin,

Kusonkhum,

Kuntiyawichai

et al. 2024

2024 4th International Conference on Information Communication and Software Engineering (ICICSE)

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

Cited by 5 publications

References 14 publications

The Adoption of a Big Data Approach Using Machine Learning to Predict Bidding Behavior in Procurement Management for a Construction Project

The Adoption of a Big Data Approach Using Machine Learning to Predict Bidding Behavior in Procurement Management for a Construction Project

Review of Big Data Integration in Construction Industry Digitalization

The feasibility study of the application of Big Data to predict delay situations in construction projects with daily report data.

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