Exploring AI Technologies In project Management: The Rise of Automated Leadership
Date
2023-09-04
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Publisher
Saudi Digital Library
Abstract
The paper examines the changing environment of project management in the age of fast technological breakthroughs, focusing on the revolutionary impact of AI technology and robotic leadership. The study is driven by the urgent need to comprehend the integration of AI in project management practises and its consequences for decision-making, resource allocation, risk assessment, and overall project success.
The research builds on a thorough analysis of the existing literature on automated leadership, artificial intelligence, and project management. In light of this, the study's five primary goals are as follows: assess the current level of AI adoption in project management; examine the effect of AI- enabled decision-making on project outcomes; look into the efficacy of automated resource allocation; investigate the role of AI in project risk assessment; and make suggestions for the incorporation of automated leadership. The study takes a quantitative approach, collecting data using well-designed questionnaires and analysing it statistically with the help of SPSS. To investigate the connections between AI and automated leadership, we performed evaluations of reliability, correlation, and regression.
The results prove that AI technologies are crucial for project management. Affirming H1, we find that "Use of Artificial intelligence" greatly affects "Project success in project management." The research shows that AI technologies have progressed from simple aids to essential resources for contemporary project management. In contrast, the nuanced view presented by Hypothesis 2, which suggests the impact of "Automated leadership," becomes clear. There is a delicate balance between human-guided leadership and computerised directions, and although automated leadership plays a part, its influence is very limited.
The third hypothesis, that "Use of Artificial intelligence" is strongly correlated with "Automated leadership," is supported by statistically significant evidence from the correlation study. It exemplifies how AI technology and automated leadership in project management are complementary rather than competitive. The ramifications go far and wide, touching on the work of professionals, politicians, educators, and researchers to promote ethical AI adoption and lifelong education in the ever- changing field of project management.
Description
The term "Automated Leadership" is used to describe the practice of incorporating artificial intelligence (AI) tools into project management in order to supplement or replace human leaders in charge of certain tasks (Hoddinghaus et al., 2021). It uses AI algorithms and automation features to aid in project management activities such as decision-making, resource allocation, risk assessment, and progress monitoring. Reduced human bias, greater data-driven decision-making, and increased efficiency in mundane operations are just a few of the many benefits that organisations may reap from adopting automated leadership in project management. Limited decision-making ability, human bias, and communication and cooperation issues are only a few of the problems that plague the project management profession (Wesche and Sonderegger, 2019).
More and more businesses rely on AI technology to help them meet these issues. PricewaterhouseCoopers (PwC) found that 54% of corporate leaders already use AI in their project management (Simplifai, 2020). The belief that AI may improve results in decision-making, efficiency, and productivity is driving this trend. According to the research, businesses that heavily use AI technology see a 5-10% boost in productivity in areas like decision-making and project management (Ramaswamy, 2017). One study found that 34 and 44 per cent of businesses worldwide are utilising artificial intelligence in their IT departments to keep tabs on massive amounts of machine-to-machine communication, as shown in Figure 1 (Ramaswamy, 2017).
Keywords
Artificial intelligence, Automated leadership, Project management, Decision-making, Resource allocation, Risk assessment, Project success, Integration, Technology, Transformation.
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