The Impact of Artificial Intelligence on Decision-Making Quality in the Organizational Recruitment Process

Abstract

The present study was conducted with the aim of investigating the impact of artificial intelligence on the quality of decision-making in the organizational recruitment process. This research is categorized as a field study and is ex post facto in nature. It also follows a descriptive-survey design. In the quantitative phase, the statistical population comprised managers of governmental departments in Iran, totaling 1,500 individuals. Given the population size of 1,500, a sample of 306 participants was determined using Cochran’s formula and selected through a simple random sampling method. Data collection was carried out using both library and field methods. To describe the demographic characteristics derived from the questionnaire data, percentage, frequency, tables, figures, and charts were utilized. Additionally, for describing the research variables, mean, standard deviation, skewness, and kurtosis were applied. In the inferential section, to answer the research questions, tests such as confirmatory factor analysis and structural equation modeling were employed using SPSS-v21 and Smart PLS-v2 software. The findings revealed that artificial intelligence influences the quality of decision-making in the organizational recruitment process. However, among the dimensions of artificial intelligence, the role of the tendency toward artificial intelligence in decision-making quality within the recruitment process was not confirmed.