Application of artificial intelligence in project management and control

Saeed Ramazani

doi:10.63053/ijset.80

Authors

Saeed Ramazani Industrial Engineering, University of Architecture and Art Pars, Tehran, Iran

DOI:

https://doi.org/10.63053/ijset.80

Keywords:

Artificial Intelligence, Project Management, Project Control, Time Management, Project Planning

Abstract

Artificial Intelligence (AI) holds a significantly vital role in today's world. This technology has not only transformed the ways individuals live and work but has also instigated revolutions in numerous domains. The present research aims to examine the application of artificial intelligence in project management and control. This study is characterized as applied in terms of purpose, quantitative in nature, and falls within the category of quantitative research. Additionally, this research is of a descriptive-survey type. The instrument for data collection is a researcher-developed questionnaire, and the methods of data acquisition involve both bibliographical and field-based approaches. The statistical population of the study consists of all project managers in the city of Tehran. The sample size has been estimated at 20 participants. Data analysis was conducted utilizing SPSS22 and Smart PLS3 software. The analyses encompassed both descriptive and inferential statistics. The descriptive statistics section examined central tendency measures such as median and mean related to the research variables, while the inferential statistics section evaluated path analysis, regression coefficients, t-statistics, and model fit indices. The normality of the data was assessed using the Kolmogorov-Smirnov test, with results indicating that the data were not normally distributed. Consequently, one of the reasons for employing PLS software stems from this issue. The hypotheses of the research, based on the obtained t-statistics, revealed that all hypotheses were confirmed, ultimately establishing that artificial intelligence plays a significant role in project management and control.

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