Leveraging Artificial Intelligence and Strategic Management for Success in Inter/National Projects in US and Beyond

Bharadwaj Thuraka *

Information Systems, Northwest Missouri State University, Maryville, USA.

Vikram Pasupuleti

School of Technology, Eastern Illinois University, Charleston, 61920, USA.

Saiteja Malisetty

College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE 68182, USA.

Kenneth O. Ogirri

American Electrical Power –POS, 212 E 6th St Tulsa, OK 74102, Oklahoma, USA.

*Author to whom correspondence should be addressed.


Abstract

The place of artificial intelligence (AI) and strategic management (SM) in the success of any projects cannot be overemphasized. This study critically explores the place of AI and SM in the attainment of success in national and international projects in the US and beyond, drawing evidence from previous studies. Relying on secondary data, drawn from the internet and subjected to a critical analytic exposition and thematic systematic review, the study shows that AI and SM play multifaceted functions that guarantee the success of projects. The paper concludes that once deployed judiciously, AI and SM have the potentials of fostering the success of different national and international projects. The implication of the findings is that AI and SM can be used in combination for more results, as in to attain significant successes in managing national and international projects as well as business and other activities/affairs. It recommends judicious adoption and application of the two in project management for the attainment of any desired results and successes in inter/national projects in the US and beyond.

Keywords: Leverage, artificial intelligence, strategic management, success, projects in US


How to Cite

Thuraka, Bharadwaj, Vikram Pasupuleti, Saiteja Malisetty, and Kenneth O. Ogirri. 2024. “Leveraging Artificial Intelligence and Strategic Management for Success in Inter/National Projects in US and Beyond”. Journal of Engineering Research and Reports 26 (8):49-59. https://doi.org/10.9734/jerr/2024/v26i81228.