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Year 2023, Volume: 17 Issue: 1, 196 - 197, 30.07.2023
https://doi.org/10.17261/Pressacademia.2023.1782

Abstract

References

  • Abioye, S. O., Oyedele, L. O., Akanbi, L., Ajayi, A., Davila Delgado, J. M., Bilal, M., Akinade, O. O., & Ahmed, A. (2021). Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges. Journal of Building Engineering, 44, 103299. https://doi.org/10.1016/j.jobe.2021.103299
  • Donbesuur, F., Hultman, M., Oghazi, P., & Boso, N. (2022). External knowledge resources and new venture success in developing economies: Leveraging innovative opportunities and legitimacy strategies. Technological Forecasting and Social Change, 185, 122034. https://doi.org/10.1016/j.techfore.2022.122034
  • Ernstsen, S. N., Whyte, J., Thuesen, C., & Maier, A. (2021). How Innovation Champions Frame the Future: Three Visions for Digital Transformation of Construction. Journal of Construction Engineering and Management, 147(1), 05020022. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001928
  • Juszczyk, M. (2017). The Challenges of Nonparametric Cost Estimation of Construction Works with the use of Artificial Intelligence Tools. Procedia Engineering, 196, 415-422. https://doi.org/10.1016/j.proeng.2017.07.218
  • Klashanov, F. (2016). Artificial Intelligence and Organizing Decision in Construction. Procedia Engineering, 165, 1016-1020. https://doi.org/10.1016/j.proeng.2016.11.813
  • Regona, M., Yigitcanlar, T., Xia, B., & Li, R. Y. M. (2022). Artificial Intelligent Technologies for the Construction Industry: How Are They Perceived and Utilized in Australia? Journal of Open Innovation: Technology, Market, and Complexity, 8(1), 16. https://doi.org/10.3390/joitmc8010016
  • Shojaei, R. S., & Burgess, G. (2022). Non-technical inhibitors: Exploring the adoption of digital innovation in the UK construction industry. Technological Forecasting and Social Change, 185, 122036. https://doi.org/10.1016/j.techfore.2022.122036
  • Xu, Y., Zhou, Y., Sekula, P., & Ding, L. (2021). Machine learning in construction: From shallow to deep learning. Developments in the Built Environment, 6, 100045. https://doi.org/10.1016/j.dibe.2021.100045
  • Yusof, N., Mustafa Kamal, E., Kong-Seng, L., & Iranmanesh, M. (2014). Are Innovations Being Created or Adopted in the Construction Industry? Exploring Innovation in the Construction Industry. SAGE Open, 4(3), 215824401455242. https://doi.org/10.1177/2158244014552424

CHALLENGES IN CONSTRUCTION INDUSTRY

Year 2023, Volume: 17 Issue: 1, 196 - 197, 30.07.2023
https://doi.org/10.17261/Pressacademia.2023.1782

Abstract

Purpose- The purpose of this study is to research some of the major problems and challenges in the construction industry that need to be addressed and solved by various stakeholders. Factors influencing technology use in building construction project management Inadequate risk management, lack of structure, poor communication, unrealistic expectations/bad forecasting, delayed cash flow and limited skills.
Methodology- The study employs a quantitative study to explore the construction industry for building a competitive advantage.
Findings- The analysis reveals that the construction industry faces various challenges that can impact project delivery, productivity, and overall performance. there are some common problems in the construction industry. Construction projects often encounter cost overruns due to factors such as inaccurate initial estimates, changes in project scope, unforeseen site conditions, and fluctuations in material and labor costs. Budgetary constraints can lead to financial strain and project delays. Delays in construction projects can occur due to factors like poor project planning and management, inclement weather, labor shortages, regulatory approvals, and issues with subcontractors or suppliers. These delays can result in increased costs, contractual disputes, and dissatisfaction among project stakeholders. Construction sites are inherently hazardous environments, and ensuring worker safety is a critical concern. Failure to comply with safety regulations, inadequate training, lack of safety protocols, and inadequate risk assessments can lead to accidents, injuries, and even fatalities. Effective communication and collaboration among project teams, including architects, engineers, contractors, and subcontractors, are essential for successful project delivery. Inadequate communication, misinterpretation of project requirements, and lack of coordination can lead to errors, rework, and delays. Maintaining high-quality construction standards is crucial, but the industry often faces challenges in ensuring consistent quality control.
Conclusion - based upon the analysis findings it may be concluded that the difficulties can turn to competitive advantage with better strategic planning, risk management, and management of resources. The construction industry has a very important role in many countries for Economic Development, Innovation, Technological Change, and Growth.

References

  • Abioye, S. O., Oyedele, L. O., Akanbi, L., Ajayi, A., Davila Delgado, J. M., Bilal, M., Akinade, O. O., & Ahmed, A. (2021). Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges. Journal of Building Engineering, 44, 103299. https://doi.org/10.1016/j.jobe.2021.103299
  • Donbesuur, F., Hultman, M., Oghazi, P., & Boso, N. (2022). External knowledge resources and new venture success in developing economies: Leveraging innovative opportunities and legitimacy strategies. Technological Forecasting and Social Change, 185, 122034. https://doi.org/10.1016/j.techfore.2022.122034
  • Ernstsen, S. N., Whyte, J., Thuesen, C., & Maier, A. (2021). How Innovation Champions Frame the Future: Three Visions for Digital Transformation of Construction. Journal of Construction Engineering and Management, 147(1), 05020022. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001928
  • Juszczyk, M. (2017). The Challenges of Nonparametric Cost Estimation of Construction Works with the use of Artificial Intelligence Tools. Procedia Engineering, 196, 415-422. https://doi.org/10.1016/j.proeng.2017.07.218
  • Klashanov, F. (2016). Artificial Intelligence and Organizing Decision in Construction. Procedia Engineering, 165, 1016-1020. https://doi.org/10.1016/j.proeng.2016.11.813
  • Regona, M., Yigitcanlar, T., Xia, B., & Li, R. Y. M. (2022). Artificial Intelligent Technologies for the Construction Industry: How Are They Perceived and Utilized in Australia? Journal of Open Innovation: Technology, Market, and Complexity, 8(1), 16. https://doi.org/10.3390/joitmc8010016
  • Shojaei, R. S., & Burgess, G. (2022). Non-technical inhibitors: Exploring the adoption of digital innovation in the UK construction industry. Technological Forecasting and Social Change, 185, 122036. https://doi.org/10.1016/j.techfore.2022.122036
  • Xu, Y., Zhou, Y., Sekula, P., & Ding, L. (2021). Machine learning in construction: From shallow to deep learning. Developments in the Built Environment, 6, 100045. https://doi.org/10.1016/j.dibe.2021.100045
  • Yusof, N., Mustafa Kamal, E., Kong-Seng, L., & Iranmanesh, M. (2014). Are Innovations Being Created or Adopted in the Construction Industry? Exploring Innovation in the Construction Industry. SAGE Open, 4(3), 215824401455242. https://doi.org/10.1177/2158244014552424
There are 9 citations in total.

Details

Primary Language English
Subjects Business Administration
Journal Section Articles
Authors

Onur Basar This is me 0009-0006-6880-0604

Pınar Başar 0000-0002-8537-5527

Publication Date July 30, 2023
Published in Issue Year 2023 Volume: 17 Issue: 1

Cite

APA Basar, O., & Başar, P. (2023). CHALLENGES IN CONSTRUCTION INDUSTRY. PressAcademia Procedia, 17(1), 196-197. https://doi.org/10.17261/Pressacademia.2023.1782
AMA Basar O, Başar P. CHALLENGES IN CONSTRUCTION INDUSTRY. PAP. July 2023;17(1):196-197. doi:10.17261/Pressacademia.2023.1782
Chicago Basar, Onur, and Pınar Başar. “CHALLENGES IN CONSTRUCTION INDUSTRY”. PressAcademia Procedia 17, no. 1 (July 2023): 196-97. https://doi.org/10.17261/Pressacademia.2023.1782.
EndNote Basar O, Başar P (July 1, 2023) CHALLENGES IN CONSTRUCTION INDUSTRY. PressAcademia Procedia 17 1 196–197.
IEEE O. Basar and P. Başar, “CHALLENGES IN CONSTRUCTION INDUSTRY”, PAP, vol. 17, no. 1, pp. 196–197, 2023, doi: 10.17261/Pressacademia.2023.1782.
ISNAD Basar, Onur - Başar, Pınar. “CHALLENGES IN CONSTRUCTION INDUSTRY”. PressAcademia Procedia 17/1 (July 2023), 196-197. https://doi.org/10.17261/Pressacademia.2023.1782.
JAMA Basar O, Başar P. CHALLENGES IN CONSTRUCTION INDUSTRY. PAP. 2023;17:196–197.
MLA Basar, Onur and Pınar Başar. “CHALLENGES IN CONSTRUCTION INDUSTRY”. PressAcademia Procedia, vol. 17, no. 1, 2023, pp. 196-7, doi:10.17261/Pressacademia.2023.1782.
Vancouver Basar O, Başar P. CHALLENGES IN CONSTRUCTION INDUSTRY. PAP. 2023;17(1):196-7.

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