FACTORS INFLUENCING THE INTENTION TO ADOPT BIG DATA TECHNOLOGY IN CONSTRUCTION COMPANIES IN INDONESIA
The rapid development of Big Data technology offers various benefits in data and information management, particularly in the construction industry, which is highly complex and requires efficient data management. Although the benefits of Big Data are widely recognized, its adoption in the construc...
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| Format: | Theses |
| Language: | Indonesia |
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| Online Access: | https://digilib.itb.ac.id/gdl/view/84193 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | The rapid development of Big Data technology offers various benefits in data and
information management, particularly in the construction industry, which is highly
complex and requires efficient data management. Although the benefits of Big Data
are widely recognized, its adoption in the construction industry in Indonesia
remains relatively low. Therefore, this study focuses on identifying and analyzing
the factors that influence the intention of construction companies to adopt Big Data
technology. The purpose of this research is to develop a conceptual model that
explains the relationship between various factors influencing the intention to adopt
Big Data technology in the construction industry in Indonesia. The method used in
this study is a survey using questionnaires distributed to managers and
professionals in construction companies. The data obtained were then analyzed
using descriptive and correlation analysis methods to identify significant factors.
The research approach is based on the Technology-Organization-Environment
(TOE) framework and the Diffusion of Innovation (DOI) theory. The TOE
framework considers technological, organizational, and environmental factors as
the main determinants of technology adoption, while the DOI theory provides
insights into how technological innovations spread within organizations. The
analysis results show that technological factors such as relative advantage and
compatibility, organizational factors such as top management support and
organization size, and environmental factors such as competitive pressure and
regulations support have a significant influence on the intention to adopt Big Data
technology. The dominant factors influencing intention are relative advantage,
compatibility, and top management support. These findings are expected to help
companies plan effective Big Data adoption strategies and provide insights for
researchers and practitioners in developing a more comprehensive technology
adoption model. |
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