A Review on Challenges and Solutions in the Implementation of Ai, IoT and Blockchain in Construction Industry

Prabhakar, Vishnuprasad V; Xavier, C.S. Belarmin; Abubeker, K.M.

doi:10.1016/j.matpr.2023.03.535

Cited by 10 publications

(8 citation statements)

References 88 publications

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“…The description of the consequences of the Fourth Industrial Revolution for human resource management is that Reskilling and upskilling the workforce: As automation and artificial intelligence (AI) replace specific job functions, human resource management must focus on reskilling and upskilling personnel to remain relevant in a changing employment market. This includes recognizing the skills that will be needed in the future and offering training and development opportunities to improve employees' digital literacy, flexibility, and creativity (Ludwig-Ohm et al, 2023;Rana & Rathore, 2023;V Prabhakar et al, 2023). Moreover, acquisition and management of talent: The 4IR introduces additional requirements for talent acquisition and management.…”

Section: Resultsmentioning

confidence: 99%

Challenges and Dilemmatic Condition of Human Resource Management During the Fourth Industrial Revolution (4ir)

Tasa Gome,

Tiarapuspa

2023

j. ekon. n.a. econo.

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Economic growth necessitates a circular economy in which production and productivity must be improved quickly. One of the major needs of economic management is efficiency throughout the process, one of which is the employment of fewer employees who are replaced by IT and advanced machinery. The purpose of this work is to present the problems and dilemmatic state of that situation by acquiring information and data from current reviews and research articles published in scientific publications. According to this viewpoint, the large population, particularly those of productive age, may be projected as prospective primary participants in the economic sector. These can be accomplished through the development of IT skills. This issue necessitates government attention and a vital role in which human skill vision may be improved via education and training. The demographic dividend can be tailored to boost economic growth in the coming years. Furthermore, initiative, innovation, and entrepreneurship must be essential human resource skills.

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Section: Resultsmentioning

confidence: 99%

Challenges and Dilemmatic Condition of Human Resource Management During the Fourth Industrial Revolution (4ir)

Tasa Gome,

Tiarapuspa

2023

j. ekon. n.a. econo.

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“…Chaillou (2022) indicó que los cálculos de IA, combinando cierto simbolismo y una detección de información más amplia, se han utilizado para distinguir y clasificar de forma natural las regiones dañadas, brindando datos exactos y oportunos para la toma de decisiones. Cuando los usuarios señalaban determinados elementos, Urban 5 emitía advertencias si se detectaban conflictos (Prabhakar et al, 2023). Se marcaría un "TED, ESTÁN SUCE-DIENDO DEMASIADOS CONFLICTOS" si los bloques no coincidieran.…”

Section: Ejemplos De Ia En La Reconstrucciónunclassified

Inteligencia Artificial y la Reconstrucción Urbana de Siria

Maksoud

2024

Cuadernos

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“…This eventually contributes to inadequate design and further hinders project management potential [3], especially in developing countries where the integration of the construction industry with technology is extremely low. The construction industry has the potential to benefit from advances in technologies such as the Internet of Things, Blockchain and Artificial intelligence [15].…”

Section: Construction Industrymentioning

confidence: 99%

Influence of Material and Labour on Construction Index Predictability

Salami,

Tanrıvermiş,

Tanrıvermiş

2023

E3S Web Conf.

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This study examines the long-run relationship between construction materials and labour with the construction cost index. The essence is also to investigate the efficiency of the variables that predict the construction index in Turkey. Monthly data from January 2015 to August 2023 was obtained for four Turkish indexes on construction, building, residential and non-residential as dependent variables. In contrast, the monthly material and labour cost indexes were obtained as explanatory variables. The study employed the fully-modified ordinary least square (FMOLS) technique. The findings revealed that the material cost index determines a substantial part of the construction index, followed by the labour cost index. However, those costs are less efficiently used. Therefore, the suggestion is that the construction industry should shift from the traditional approach and consider a more efficient approach through technological innovation. This finding supports the need for the construction industries to employ appropriate technology to enhance accurate construction index prediction that could prevent waste from labour slack time and procurement of costly materials. However, the limitation of the study is the data constraint in obtaining more variables for the prediction. Still, material and labour cost indexes used for the prediction are sufficient for making the conclusion of the finding valid.

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A Review on Challenges and Solutions in the Implementation of Ai, IoT and Blockchain in Construction Industry

Cited by 10 publications

References 88 publications

Challenges and Dilemmatic Condition of Human Resource Management During the Fourth Industrial Revolution (4ir)

Challenges and Dilemmatic Condition of Human Resource Management During the Fourth Industrial Revolution (4ir)

Inteligencia Artificial y la Reconstrucción Urbana de Siria

Influence of Material and Labour on Construction Index Predictability

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