Yu, T; Liang, X and Wang, Y (2020) Factors affecting the utilization of big data in construction projects. Journal of Construction Engineering and Management, 146(5): 04020032, ISSN 0733-9364
Abstract
With the rapid development of information and communication technologies, big data is expected to enable the creation of new paradigms for construction project management and improve the efficiency of design and construction activities. In practice, a few factors with complex impacts on each other can significantly affect the utilization of big data in construction projects. Practitioners should comprehensively examine these factors when shaping strategies for promoting the use of big data in their projects. This study aimed to identify factors that significantly impact the utilization of big data and investigate how these factors influence each other. First, a factor list was compiled based on a literature analysis and semistructured interviews with experts. Then, the nominal group technique was used to map interactions among the identified factors in an adjacency matrix, and interpretive structure modeling was used for further analysis. Finally, these factors were grouped into four categories with respect to their driving and dependence powers. Suggestions were made for promoting the utilization of big data in construction projects. The results indicate that incentive policies and the ethics and legal mechanisms of copyright, privacy, and data security are the most important factors that must be carefully considered by project managers and engineers when formulating strategies for utilizing big data in their projects.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | big data; construction project; influencing factor; interpretive structural modeling |
| Index terms: | efficiency, modelling, ethics, interaction, project manager, design and construction, privacy, interpretive structural modelling, engineer, information and communication technology, paradigm, practitioner, construction project, strategy, construction project management, influencing factor, big data, interview |
| Subjects: | performance management, project management theory and practice, behavioral psychology, production management, contractual arrangements, computing systems, data collection methods, professional ethics, data analysis and analytics, profession, risk assessment, information systems, ethical practice, education and knowledge transfer, practitioner, management, analytical methods |
| Topics: | Business Strategy, Procurement, Risk Management, Engineering Principles, Roles and Professions, Legal Issues, Project Management, Research Practice, Quality Management, Digital Applications |
| Descriptive scope: | 5 PCTEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here