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Digital Transformation in Construction Project Management: Integrating BIM, IoT, and AI for Enhanced Project Delivery in the Kenya Commercial Real Estate Sector

Felix Maloba Odanga

Subject area: Science,Engineering and Technology  ·  Area of research: ICT

Abstract

Kenya's construction industry, contributing approximately 7% to the national GDP, stands at a critical juncture where digital transformation technologies promise to revolutionize project delivery and operational efficiency. This study examines the integration of Building Information Modeling (BIM), Internet of Things (IoT), and Artificial Intelligence (AI) technologies within Kenya's commercial real estate construction sector. Through comprehensive analysis of 180 construction projects and surveys from 420 industry professionals across Nairobi, Mombasa, and Kisumu, this research reveals that organizations implementing integrated digital technologies achieve 42% improvement in project delivery timelines, 35% reduction in cost overruns, and 48% enhancement in quality outcomes compared to traditional approaches. Despite significant potential benefits, adoption rates remain modest at 34% for BIM, 18% for IoT, and 12% for AI integration, primarily due to high implementation costs, skills gaps, and inadequate technological infrastructure. The study provides a comprehensive framework for digital transformation implementation specifically tailored to Kenya's construction industry context, addressing unique challenges including limited internet connectivity in remote areas, currency fluctuation impacts on technology procurement, and regulatory framework adaptations required for digital construction processes.

Keywords

Digital Transformation, Building Information Modeling, Internet of Things, Artificial Intelligence, Construction Management, Commercial Real Estate, Kenya

References

[1] Aouad, G., & Arayici, Y. (2019). Requirements engineering for computer integrated environments in construction. Construction Innovation, 19(2), 211-235.

[2] Bryde, D., Broquetas, M., & Volm, J. M. (2018). The project benefits of building information modelling (BIM). International Journal of Project Management, 36(6), 971-980.

[3] Ding, L. Y., Zhong, B. T., Wu, S., & Luo, H. B. (2018). Construction risk knowledge management in BIM using ontology and semantic web technology. Safety Science, 87, 202-213.

[4] Eastman, C., Teicholz, P., Sacks, R., & Liston, K. (2018). BIM handbook: A guide to building information modeling for owners, managers, designers, engineers and contractors. John Wiley & Sons.

[5] Gwaya, A. O. (2016). Development of a project management evaluation model for the construction industry in Kenya. Doctoral Dissertation, Jomo Kenyatta University of Agriculture and Technology.

[6] Kenya National Bureau of Statistics. (2019). Economic survey 2019. Government Printer, Nairobi.

[7] Kimani, S. K. (2018). Critical success factors for building information modeling implementation in the Kenyan construction industry. Master's Thesis, University of Nairobi.

[8] Ozorhon, B., Abbott, C., & Aouad, G. (2018). Integration and leadership as enablers of innovation in construction: Case study. Journal of Management in Engineering, 34(2), 04017054.

[9] Wang, J., Zhang, X., Shou, W., Wang, X., Xu, B., Kim, M. J., & Wu, P. (2019). A BIM-based approach for automated tower crane layout planning. Automation in Construction, 59, 168-178.

How to cite this paper

Felix Maloba Odanga "Digital Transformation in Construction Project Management: Integrating BIM, IoT, and AI for Enhanced Project Delivery in the Kenya Commercial Real Estate Sector" Iconic Research And Engineering Journals Volume 3 Issue 5 2019 Page 194-210
Felix Maloba Odanga "Digital Transformation in Construction Project Management: Integrating BIM, IoT, and AI for Enhanced Project Delivery in the Kenya Commercial Real Estate Sector" Iconic Research And Engineering Journals, vol. 3, no. 5, Nov. 2019
Felix Maloba Odanga (2019). Digital Transformation in Construction Project Management: Integrating BIM, IoT, and AI for Enhanced Project Delivery in the Kenya Commercial Real Estate Sector. Iconic Research And Engineering Journals, 3(5).
Felix Maloba Odanga "Digital Transformation in Construction Project Management: Integrating BIM, IoT, and AI for Enhanced Project Delivery in the Kenya Commercial Real Estate Sector" Iconic Research And Engineering Journals, vol. 3, no. 5, Nov. 2019.
@article{1708865,
      author = {Felix Maloba Odanga},
      title = {Digital Transformation in Construction Project Management: Integrating BIM, IoT, and AI for Enhanced Project Delivery in the Kenya Commercial Real Estate Sector},
      journal = {Iconic Research And Engineering Journals},
      year = {2019},
      volume = {3},
      number = {5},
      pages = {194-210},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1708865.pdf},
      abstract = {Kenya's construction industry, contributing approximately 7% to the national GDP, stands at a critical juncture where digital transformation technologies promise to revolutionize project delivery and operational efficiency. This study examines the integration of Building Information Modeling (BIM), Internet of Things (IoT), and Artificial Intelligence (AI) technologies within Kenya's commercial real estate construction sector. Through comprehensive analysis of 180 construction projects and surveys from 420 industry professionals across Nairobi, Mombasa, and Kisumu, this research reveals that organizations implementing integrated digital technologies achieve 42% improvement in project delivery timelines, 35% reduction in cost overruns, and 48% enhancement in quality outcomes compared to traditional approaches. Despite significant potential benefits, adoption rates remain modest at 34% for BIM, 18% for IoT, and 12% for AI integration, primarily due to high implementation costs, skills gaps, and inadequate technological infrastructure. The study provides a comprehensive framework for digital transformation implementation specifically tailored to Kenya's construction industry context, addressing unique challenges including limited internet connectivity in remote areas, currency fluctuation impacts on technology procurement, and regulatory framework adaptations required for digital construction processes.},
      keywords = {Digital Transformation, Building Information Modeling, Internet of Things, Artificial Intelligence, Construction Management, Commercial Real Estate, Kenya},
      month = {November},
  }