Document Type : Research Paper

Authors

• Seyed Mojtabi Hashemian ¹
• Fatemeh Ghorbani ²

¹ Assistant Professor, Department of Management, Varamin-Pishva Branch, Islamic Azad University, Varamin, Iran.

² PhD Student, Department of Management, Faculty of Administrative and Economic Sciences, Ferdowsi University of Mashhad, Mashhad, Iran.

Abstract

This systematic review investigates the factors influencing the implementation of Artificial Intelligence (AI) (antecedents) and its consequences (outcomes) in organizations. The primary goal is to identify and categorize these factors to provide a comprehensive and practical perspective for managers and researchers. The research methodology includes three main stages: defining research questions, conducting the research process using inclusion/exclusion criteria for articles and extracting data, and presenting the results by qualitatively synthesizing the findings. Antecedents were classified into four main themes: human and attitudinal factors, organizational and managerial factors, technological and infrastructural factors, and competitive and environmental factors. Outcomes were classified into six themes: individual and employee performance, organizational and decision-making processes, team and group collaboration, strategic and competitive, economic and ecosystemic, and organizational learning and training. These findings indicate that organizations should consider human, cultural, infrastructural, and process-related aspects for successful AI implementation. Despite the numerous benefits of AI in increasing productivity and improving decision-making processes, challenges such as security concerns and cultural resistance must also be addressed. This study, by providing a systematic perspective, highlights the importance of further research in this area.

Keywords

• Artificial intelligence
• technology
• information technology
• multilevel analysis
• systematic review
• organization

Main Subjects

• Individual & Organization