Walton, D (2023) Impact of big data implementation on decision-making and organizational outcomes in the real estate construction enterprises. EdD thesis, Pepperdine University, USA.
Abstract
Decision-making, a key factor of organizational performance, is based on information retrieved from processing raw data. As businesses and consumers are shifting toward digital channels, more and more data is being generated through digital services and electronic devices. Big Data is argued to have significant benefits to businesses, and yet data analytics companies are growing much slower compared to the growth in the volume of generated Big Data. In particular, the adoption of Big Data solutions in construction companies is relatively low, despite potential benefits in terms of efficiency and sustainability. The present study aimed to critically assess the impact of Big Data use on decision-making and organizational outcomes in the context of the construction industry. A series of interviews were conducted with decision-makers of construction companies to explore their strategies in regard to the use Big Data, associated challenges, and the extent to which Big Data use was successful. The study adopted thematic analysis to process the codes from the interview transcripts. The findings suggest that interoperability and integration of Big Data into existing internal systems as well as the talent gaps in construction companies are the key challenges decision-makers had to face. The study recommends that construction companies hire IT experts, conduct regular workshops and training sessions, and adopt a top-down communication approach to overcome these challenges. The results can be valuable to practitioners and managers in construction firms. Finally, the study concludes by proposing a conceptual framework that construction companies can use to develop a better and more integrated framework for Big Data implementation.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Miramontes, G |
| Uncontrolled Keywords: | real estate; sustainability; construction firms; communication; decision making; integration; interoperability; training; thematic analysis; workshops; interview |
| Index terms: | implementation, construction industry, interoperability, real estate, organizational performance, efficiency, workshop, conceptual framework, integration, decision-making, thematic analysis, practitioner, strategy, face, big data, construction company, construction firm, interview, manager, electronic device |
| Subjects: | real estate economics, computer hardware, data collection methods, systems and processes, information systems, industry analysis, decision analysis, organizational analysis, methods and analysis, performance management, management, performance measurement, contractual arrangements, psychology, practitioner, organization, construction type, theoretical framing |
| Topics: | Procurement, Risk Management, Quality Management, Research Practice, Business Strategy, Construction Technology, Roles and Professions, Urban Studies, Digital Applications, Organizational Design |
| 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