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Challenges faced by the adoption of big data in the Dominican Republic construction industry: an empirical study

Author(s):


Medium: journal article
Language(s): English
Published in: Journal of Information Technology in Construction, , v. 26
Page(s): 812-831
DOI: 10.36680/j.itcon.2021.044
Abstract:

The adoption of Big Data (BD) in the construction industry has been identified as a possible solution to the demand of the current needs of projects, but the integration of this technology has proven to be a challenge specially in industries such as construction that are not technological driven. The understanding of the key elements for the BD adoption has become the focus of many industries that seek to exploit the benefits offered by this technology. Therefore, this paper aims to explore the challenges faced by the adoption of BD in the Dominican Republic (DR) construction industry. To identify these challenges qualitative research was undertaken due to the paucity of scientific data. Twenty-one individuals representing 19 companies who have great impact in the DR construction sector were interviewed. From the analysis six main challenges were identified. They are: lack BD awareness, high cost of investment, resistance to change, lack of government support and regulation, lack of technological expertise, and security concerns of BD. The challenges identified in this study, will serve to help companies better plan their technology adoption process, mainly considering aspects such as the need to tackle the lack of awareness by disseminating and promoting the concept of BD which will not only generate a better understanding of technology by making sure that present and future professionals understand the technology and its benefits. This study provides insight in the challenges to overcome for a successful adoption of BD technology, which would help companies to prepare for a future adoption.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.36680/j.itcon.2021.044.
  • About this
    data sheet
  • Reference-ID
    10641176
  • Published on:
    30/11/2021
  • Last updated on:
    30/11/2021
 
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