Atuahene, B T; Kanjanabootra, S and Gajendran, T (2018) Towards an integrated framework of big data capabilities in the construction industry: A systematic literature review. In: Gorse, C and Neilson, C J (eds.) Proceedings of 34th Annual ARCOM Conference, 3-5 September 2018, Queen’s University, Belfast, UK.
Abstract
The construction industry is gradually expanding to blend its technical knowledge with innovative principles geared towards value creation. This is motivated by the industry’s attempt to overcome inefficiencies and ineffectiveness in the construction process. The desire for improvement has consequently necessitated construction researchers to champion the innovation agenda in the construction industry. Within the past decades, the wind of innovation has swept through industries causing the high demand on information technology applications. The construction industry depends on digital devices through the use of sensors, surveillance footages, smart devices and real-time in monitoring projects. Subsequently, the devices have led to generation of large datasets (volume), at an exponential and faster rate (velocity) and in different formats (variety), requiring data analytics to mine these data to improve processes. The volume, velocity and variety are key characteristics of big data as well as the analytics. Getting valuable insights from such data, has currently taken the centre-stage of digitalization in the business world, through big data applications. Though, extant literature have revealed benefits of big data in construction, but cognizance is not given to what it takes for the industry to realize to the fullest, the benefits of big data. This study presents a systematic literature review on big data capabilities across different disciplines. Further synthesis of articles led to the identification of four major big data capabilities. The findings together with antecedents of innovation from the Schumpeter theory of innovation led to conceptualization of a process framework for big data capabilities in the construction industry. The framework consists of antecedents to innovation, big data capabilities and outcomes (insight from data). The study addressed the gap of big data capabilities deficit in the construction industry. Practically, the framework can serve as a guide for construction organizations interested in adopting big data in their operations.
| Item Type: | Conference Paper (Paper) |
|---|---|
| Uncontrolled Keywords: | improvement; information technology; innovation; monitoring; sensors; systematic literature review |
| Index terms: | monitoring, information technology, construction industry, systematic literature review, smart device, digitalization, construction process, big data, surveillance, value creation, dataset, construction organization |
| Subjects: | research evaluation and metrics, computing systems, industry analysis, monitoring and control systems, data management, information systems, organization, economic development, control systems, digital technology, innovation and technology management, building construction |
| Topics: | Research Practice, Site Management, Digital Applications, Sustainability, Engineering Principles, Business Strategy, Governance |
| Descriptive scope: | 4 PCTE |
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