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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abioye SO, Oyedele LO, Akanbi L, Ajayi A, Davila Delgado JM, Bilal M, Akinade OO, Ahmed A (2021) Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges. J Build Eng 44. https://doi.org/10.1016/j.jobe.2021.103299
Baum SD, Barrett AM, Yampolskiy RV (n.d.) Modeling and interpreting expert disagreement about artificial superintelligence. http://gcrinstitute.org
Chatterjee S (2020) AI strategy of India: policy framework, adoption challenges and actions for government. Transforming Gov People, Process Policy 14(5):757–775. https://doi.org/10.1108/TG-05-2019-0031
Nnaji C, Karakhan AA (2020) Technologies for safety and health management in construction: current use, implementation benefits and limitations, and adoption barriers. J Build Eng. https://doi.org/10.1016/j.jobe.2020.101212
Pillai VS, Matus KJM (2021) Towards a responsible integration of artificial intelligence technology in the construction sector. Sci Public Policy 47(5):689–704. https://doi.org/10.1093/scipol/scaa073
Regona M, Yigitcanlar T, Xia B, Li RYM (2022) Artificial intelligent technologies for the construction industry: how are they perceived and utilized in Australia? J Open Innovation: Technol Market Complexity 8(1). https://doi.org/10.3390/joitmc8010016
Sunny Vohra D, C T (2019) How AI will shape India’s construction landscape. Siliconindia.com. https://industry.siliconindia.com/viewpoint/cxoinsights/how-ai-will-shape-india-s-construction-landscape-nwid-26708.html
Vaquero TS, Silva JR, Beck JC (2013) Post-design analysis for building and refining AI planning systems. Eng Appl Artif Intell 26(8):1967–1979. https://doi.org/10.1016/j.engappai.2013.04.006
Wirtz BW, Weyerer JC, Geyer C (2019) Artificial intelligence and the public sector—applications and challenges. Int J Public Adm 42(7):596–615. https://doi.org/10.1080/01900692.2018.1498103
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
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
Download citation
DOI: https://doi.org/10.1007/978-981-99-3526-0_3
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-3525-3
Online ISBN: 978-981-99-3526-0
eBook Packages: EngineeringEngineering (R0)