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Analysis of Factors Influencing the Use of Artificial Intelligence in the Indian Construction Industry

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Building Construction and Technology

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 360))

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Abstract

Although we are aware of the benefits of AI applications in the construction sector, there are a number of barriers to their implementation in the Indian construction business. India's construction sector has been hesitant in using artificial intelligence technology, despite its scale and scope. Making a case for the use of artificial intelligence in the Indian construction sector might thus seem like a challenging task, especially as many businesses think they require in-house skills to achieve the shift. The purpose of this essay is to examine the variables influencing the adoption of artificial intelligence (AI) technology in the Indian construction sector. After performing a literature analysis, the study conducted a questionnaire survey to determine the variables that affect the deployment of artificial intelligence technology in the Indian construction business. The Relative Importance Index (RII) technique is used to examine the survey findings and determine the impact of AI deployment on the Indian construction sector. This study offers insight into the significant, industry-specific difficulties that limit the application of artificial intelligence in the Indian construction sector. The findings of this study show that the cost of integrating AI technology into construction projects, the technical viability of doing so, and the socio-cultural are the biggest challenges in implementing AI in the Indian construction industry which makes the transition period from traditional methods to AI technologies.

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Correspondence to E. A. Vinoj Peter .

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Peter, E.A.V. (2023). Analysis of Factors Influencing the Use of Artificial Intelligence in the Indian Construction Industry. In: J., V. (eds) Building Construction and Technology. Lecture Notes in Civil Engineering, vol 360. Springer, Singapore. https://doi.org/10.1007/978-981-99-3526-0_3

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  • DOI: https://doi.org/10.1007/978-981-99-3526-0_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-3525-3

  • Online ISBN: 978-981-99-3526-0

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