Artificial Intelligence in the Construction Industry: A Systematic Review of the Entire Construction Value Chain Lifecycle
In recent years, there has been a surge in the global digitization of corporate processes and concepts such as digital technology development which is growing at such a quick pace that the construction industry is struggling to catch up with latest developments. A formidable digital technology, arti...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-12-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/17/1/182 |
| _version_ | 1797358858778181632 |
|---|---|
| author | Christian Nnaemeka Egwim Hafiz Alaka Eren Demir Habeeb Balogun Razak Olu-Ajayi Ismail Sulaimon Godoyon Wusu Wasiu Yusuf Adegoke A. Muideen |
| author_facet | Christian Nnaemeka Egwim Hafiz Alaka Eren Demir Habeeb Balogun Razak Olu-Ajayi Ismail Sulaimon Godoyon Wusu Wasiu Yusuf Adegoke A. Muideen |
| author_sort | Christian Nnaemeka Egwim |
| collection | DOAJ |
| description | In recent years, there has been a surge in the global digitization of corporate processes and concepts such as digital technology development which is growing at such a quick pace that the construction industry is struggling to catch up with latest developments. A formidable digital technology, artificial intelligence (AI), is recognized as an essential element within the paradigm of digital transformation, having been widely adopted across different industries. Also, AI is anticipated to open a slew of new possibilities for how construction projects are designed and built. To obtain a better knowledge of the trend and trajectory of research concerning AI technology application in the construction industry, this research presents an exhaustive systematic review of seventy articles toward AI applicability to the entire lifecycle of the construction value chain identified via the guidelines outlined by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The review’s findings show foremostly that AI technologies are mostly used in facility management, creating a huge opportunity for the industry to profit by allowing facility managers to take proactive action. Secondly, it shows the potential for design expansion as a key benefit according to most of the selected literature. Finally, it found data augmentation as one of the quickest prospects for technical improvement. This knowledge will assist construction companies across the world in recognizing the efficiency and productivity advantages that AI technologies can provide while helping them make smarter technology investment decisions. |
| first_indexed | 2024-03-08T15:08:18Z |
| format | Article |
| id | doaj.art-46d5d5f77fb34cae96732e69abf7e7b8 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-08T15:08:18Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-46d5d5f77fb34cae96732e69abf7e7b82024-01-10T14:56:08ZengMDPI AGEnergies1996-10732023-12-0117118210.3390/en17010182Artificial Intelligence in the Construction Industry: A Systematic Review of the Entire Construction Value Chain LifecycleChristian Nnaemeka Egwim0Hafiz Alaka1Eren Demir2Habeeb Balogun3Razak Olu-Ajayi4Ismail Sulaimon5Godoyon Wusu6Wasiu Yusuf7Adegoke A. Muideen8Big Data Technologies and Innovation Laboratory, University of Hertfordshire, Hatfield AL10 9AB, UKBig Data Technologies and Innovation Laboratory, University of Hertfordshire, Hatfield AL10 9AB, UKDecision Sciences Business Analysis and Statistics Group, Hertfordshire Business School, University of Hertfordshire, Hatfield AL10 9AB, UKBig Data Technologies and Innovation Laboratory, University of Hertfordshire, Hatfield AL10 9AB, UKBig Data Technologies and Innovation Laboratory, University of Hertfordshire, Hatfield AL10 9AB, UKBig Data Technologies and Innovation Laboratory, University of Hertfordshire, Hatfield AL10 9AB, UKBig Data Technologies and Innovation Laboratory, University of Hertfordshire, Hatfield AL10 9AB, UKBig Data Technologies and Innovation Laboratory, University of Hertfordshire, Hatfield AL10 9AB, UKBig Data Technologies and Innovation Laboratory, University of Hertfordshire, Hatfield AL10 9AB, UKIn recent years, there has been a surge in the global digitization of corporate processes and concepts such as digital technology development which is growing at such a quick pace that the construction industry is struggling to catch up with latest developments. A formidable digital technology, artificial intelligence (AI), is recognized as an essential element within the paradigm of digital transformation, having been widely adopted across different industries. Also, AI is anticipated to open a slew of new possibilities for how construction projects are designed and built. To obtain a better knowledge of the trend and trajectory of research concerning AI technology application in the construction industry, this research presents an exhaustive systematic review of seventy articles toward AI applicability to the entire lifecycle of the construction value chain identified via the guidelines outlined by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The review’s findings show foremostly that AI technologies are mostly used in facility management, creating a huge opportunity for the industry to profit by allowing facility managers to take proactive action. Secondly, it shows the potential for design expansion as a key benefit according to most of the selected literature. Finally, it found data augmentation as one of the quickest prospects for technical improvement. This knowledge will assist construction companies across the world in recognizing the efficiency and productivity advantages that AI technologies can provide while helping them make smarter technology investment decisions.https://www.mdpi.com/1996-1073/17/1/182artificial intelligenceAI technologiesAI adoptionAI benefitsAI challengesconstruction industry |
| spellingShingle | Christian Nnaemeka Egwim Hafiz Alaka Eren Demir Habeeb Balogun Razak Olu-Ajayi Ismail Sulaimon Godoyon Wusu Wasiu Yusuf Adegoke A. Muideen Artificial Intelligence in the Construction Industry: A Systematic Review of the Entire Construction Value Chain Lifecycle Energies artificial intelligence AI technologies AI adoption AI benefits AI challenges construction industry |
| title | Artificial Intelligence in the Construction Industry: A Systematic Review of the Entire Construction Value Chain Lifecycle |
| title_full | Artificial Intelligence in the Construction Industry: A Systematic Review of the Entire Construction Value Chain Lifecycle |
| title_fullStr | Artificial Intelligence in the Construction Industry: A Systematic Review of the Entire Construction Value Chain Lifecycle |
| title_full_unstemmed | Artificial Intelligence in the Construction Industry: A Systematic Review of the Entire Construction Value Chain Lifecycle |
| title_short | Artificial Intelligence in the Construction Industry: A Systematic Review of the Entire Construction Value Chain Lifecycle |
| title_sort | artificial intelligence in the construction industry a systematic review of the entire construction value chain lifecycle |
| topic | artificial intelligence AI technologies AI adoption AI benefits AI challenges construction industry |
| url | https://www.mdpi.com/1996-1073/17/1/182 |
| work_keys_str_mv | AT christiannnaemekaegwim artificialintelligenceintheconstructionindustryasystematicreviewoftheentireconstructionvaluechainlifecycle AT hafizalaka artificialintelligenceintheconstructionindustryasystematicreviewoftheentireconstructionvaluechainlifecycle AT erendemir artificialintelligenceintheconstructionindustryasystematicreviewoftheentireconstructionvaluechainlifecycle AT habeebbalogun artificialintelligenceintheconstructionindustryasystematicreviewoftheentireconstructionvaluechainlifecycle AT razakoluajayi artificialintelligenceintheconstructionindustryasystematicreviewoftheentireconstructionvaluechainlifecycle AT ismailsulaimon artificialintelligenceintheconstructionindustryasystematicreviewoftheentireconstructionvaluechainlifecycle AT godoyonwusu artificialintelligenceintheconstructionindustryasystematicreviewoftheentireconstructionvaluechainlifecycle AT wasiuyusuf artificialintelligenceintheconstructionindustryasystematicreviewoftheentireconstructionvaluechainlifecycle AT adegokeamuideen artificialintelligenceintheconstructionindustryasystematicreviewoftheentireconstructionvaluechainlifecycle |