शोध-प्रभा (ISSN : 0974-8946) (A REFERRED & PEER- REVIEWED QUARTERLY RESEARCH JOURNAL) Emerging Trends In Ai-Based Project Management: A Review Of Literature Sohail Verma Assistant Professor – Department of Business Studies Baba Farid College of Management & Technology, Bathinda Abstract This paper provides a comprehensive review of the emerging trends in AI-based project management. A systematic literature review approach was employed to identify and analyze existing literature on AI-based project management. The study identifies the various applications of AI in project management, explores the benefits and challenges of using AI in project management, and analyzes the role of AI in improving project outcomes. The results suggest that AI has numerous applications in project management, and its use can improve project performance. However, there are also several challenges and limitations associated with the use of AI in project management, such as data security, privacy concerns, and the potential for bias in decision-making. The study provides insights for practitioners and researchers on the emerging trends in AI-based project management. Keywords: artificial intelligence, project management Introduction The field of project management has undergone significant changes in recent years with the introduction of Artificial Intelligence (AI) and related technologies. AI has the potential to revolutionize the way projects are managed by providing powerful tools for analysis, decisionmaking, and automation. This paper aims to provide a comprehensive review of the emerging trends in AI-based project management. Specifically, the paper will explore the current state of AI-based project management, examine the benefits and challenges of implementing AI in project management, and identify the future directions of AI-based project management. Several authors have highlighted the potential of AI in project management. For instance, Thomas and Müller (2018) argued that AI can help project managers to analyze large amounts of data, identify patterns, and make more accurate predictions. Similarly, Halverson and Stahl (2019) emphasized the role of AI in improving project scheduling, risk management, and resource allocation. However, the adoption of AI in project management is not without challenges. For example, Huemann, Keegan, and Turner (2018) pointed out that the lack of trust in AI, the complexity of AI algorithms, and the need for specialized skills are some of the barriers to the adoption of AI in project management. Given the potential of AI in project management and the challenges that need to be addressed, it is important to understand the emerging trends in AI-based project management. By providing a comprehensive review of the literature, this paper aims to contribute to the knowledge base of AIbased project management and provide insights for practitioners and researchers. Literature Review Artificial Intelligence (AI) has been defined as a computer-based technology that can mimic human intelligence by learning from experience and performing tasks that typically require human intelligence, such as problem-solving, decision-making, and language understanding (Russell & Norvig, 2016). AI has numerous applications in project management, including project planning, scheduling, risk management, and quality control. One of the main benefits of AI in project management is its ability to automate repetitive tasks and make predictions based on historical data, thus saving time and reducing costs (Bender et al., 2018). Additionally, AI can provide real-time data analysis, enabling project managers to make informed decisions and adjust project plans accordingly (Müller & Turner, 2019). However, there are also several challenges associated with the use of AI in project management, such as data security, privacy concerns, and the potential for bias in decisionmaking (Davenport & Ronanki, 2018). Moreover, the use of AI in project management raises ethical Vol. 48, Issue-4 (October-December) 2023 58 शोध-प्रभा (ISSN : 0974-8946) (A REFERRED & PEER- REVIEWED QUARTERLY RESEARCH JOURNAL) questions regarding the role of humans in decision-making and the potential impact on employment (Brynjolfsson & Mitchell, 2017). Despite these challenges, there is a growing recognition of the potential of AI to improve project outcomes. AI can enable project managers to optimize project schedules, reduce costs, and improve project quality (Choi et al., 2018). Furthermore, AI can help organizations to identify and mitigate risks before they become major issues (Wong et al., 2020). Objectives To identify the different applications of AI in project management. To explore the benefits and challenges of using AI in project management. To analyze the role of AI in improving project outcomes. To provide a comprehensive review of the emerging trends in AI-based project management. Research Methodology A systematic literature review approach was employed in this study to identify and analyze existing literature on AI-based project management. This approach involves a comprehensive and structured search of published literature, followed by a critical appraisal and synthesis of relevant studies. The systematic literature review approach was chosen because it provides a rigorous and transparent methodology for evaluating a large body of literature. Data Collection and Analysis Techniques The data for this study is collected from secondary sources such as academic journals, research papers, market. books, and reports. The data collected from the electronic databases were initially screened based on the inclusion and exclusion criteria. The remaining articles were then subjected to a detailed review of their abstracts and full texts. The data were then extracted and analyzed using a thematic analysis approach, which involves the identification and categorization of key themes and concepts from the literature. The analysis focused on identifying the benefits and challenges of using AI in project management, as well as the role of AI in improving project outcomes. Results and Analysis Emerging Trends in AI-Based Project Management AI has numerous applications in project management, including project planning, scheduling, risk management, and quality control. One of the main benefits of AI in project management is its ability to automate repetitive tasks and make predictions based on historical data, thus saving time and reducing costs. Additionally, AI can provide real-time data analysis, enabling project managers to make informed decisions and adjust project plans accordingly. Applications of AI in Project Management The study identified various AI applications in project management, including natural language processing (NLP), machine learning (ML), and deep learning (DL). NLP enables machines to interpret and respond to human language, making it useful for chatbots and virtual assistants in project management. ML is used to build models that can predict project outcomes based on historical data, while DL can analyze large datasets and identify patterns that are not visible to the human eye. Impact of AI on Project Performance The findings suggest that the use of AI in project management can improve project performance by enabling project managers to optimize project schedules, reduce costs, and improve project quality. Moreover, AI can help organizations to identify and mitigate risks before they become major issues. For instance, predictive analytics can enable project managers to forecast project delays and identify potential risks, allowing them to take preventive measures and reduce the impact of risks on project outcomes. Vol. 48, Issue-4 (October-December) 2023 59 शोध-प्रभा (ISSN : 0974-8946) (A REFERRED & PEER- REVIEWED QUARTERLY RESEARCH JOURNAL) Challenges and Limitations of AI-Based Project Management Despite the potential benefits of AI in project management, there are also several challenges and limitations associated with its use. These include data security, privacy concerns, and the potential for bias in decision-making. Moreover, the use of AI in project management raises ethical questions regarding the role of humans in decision-making and the potential impact on employment. AI has the potential to transform project management by providing powerful tools for analysis, decision-making, and automation. However, the benefits and challenges of using AI in project management must be carefully considered, and ethical concerns must be addressed to ensure that the use of AI is both responsible and effective. Conclusion AI has the potential to transform project management by providing powerful tools for analysis, decision-making, and automation. However, the adoption of AI in project management must be carefully considered, and ethical concerns must be addressed to ensure that the use of AI is both responsible and effective. Future research in this field could explore the development of AI-based project management frameworks that incorporate ethical considerations and address the potential biases in AI decisionmaking. Furthermore, research could investigate the impact of AI on project team dynamics and the role of project managers in managing AI-based project management processes. In conclusion, the use of AI in project management has significant implications for project success, and organizations need to carefully evaluate its potential benefits and limitations. By incorporating AI technologies into project management processes in a responsible and effective manner, project managers and organizations can enhance project outcomes and achieve greater efficiency and effectiveness. References 1. Halverson, A., & Stahl, B. (2019). Artificial Intelligence and Project Management: A Review of the Literature. In 2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA) (pp. 1-6). IEEE. 2. Huemann, M., Keegan, A., & Turner, R. (2018). Human Factors and Ethical Considerations in Artificial Intelligence Applications in Project Management. In Proceedings of the 52nd Hawaii International Conference on System Sciences (pp. 4128-4137). IEEE. 3. Thomas, O., & Müller, R. (2018). Artificial Intelligence in Project Management. Project Management Journal, 49(2), 3-4. 4. Bender, A., Krummenacher, R., Sprenger, M., & Stahlbock, R. (2018). Artificial intelligence in project management: Current use cases and future developments. Procedia CIRP, 72, 343348. 5. Brynjolfsson, E., & Mitchell, T. (2017). What can machine learning do? Workforce implications. Science, 358(6370), 1530-1534. 6. Choi, T. M., Wallace, S. W., & Wang, H. (2018). An artificial intelligence approach to forecasting demand for fashion products. Decision Support Systems, 114, 26-33. 7. Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108-116. 8. Müller, R., & Turner, R. (2019). Choosing the right project management tool. Project Management Journal, 50(2), 110-122. 9. Russell, S. J., & Norvig, P. (2016). Artificial intelligence: A modern approach. Malaysia: Pearson Education Limited. Vol. 48, Issue-4 (October-December) 2023 60 शोध-प्रभा (ISSN : 0974-8946) (A REFERRED & PEER- REVIEWED QUARTERLY RESEARCH JOURNAL) 10. Wong, J. Y., Chan, J. H., & Chan, H. K. (2020). An artificial intelligence approach for identifying critical risk factors in construction projects. 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