A Systematic Review of The Literature on the Technology Its Application and Integration Needs

Abstract

This research seeks to offer valuable Understanding to help organizations develop optimal approaches to integrating Artificial Intelligence (AI) and enhancing project coordination procedures, with a particular focus on collaborative innovation initiatives. It utilizes a thorough and structured review of existing literature, selecting 365 scholarly articles from an initial set of 1,265 scholarly works sourced from the academ-ic databases such as IEEE and Scopus. The investigation creates a structure for synthesizing the previous studies based on five investigative questions, which cover artificial intelligence systems, project coordination activities, sectors implementing AI, and the conditions required to ensure effective adoption. The examination shows that automated learning systems is commonly used in project coordination, particularly for predictive data analysis, resource optimization, and risk management. AI enhances managing open innovation projects through the inte-gration of varied knowledge bases, fostering cooperation, and delivering planned decision-making understandings. Additionally, the study finds that adoption of AI relies not limited to technical aspects factors such as framework, system combination and information prepared-ness as well as on leadership backing and strategic coordination, funding, skill growth and company culture. The results emphasize the need to align AI efforts coupled with the specific demands of open innovation, characterized by collaboration, flexibility, and outside expertise integration play key roles. The construction industry is leading the way in AI adoption. This research addresses a critical gap by determining both the technological and non-technological conditions necessary for efficiently embedding integrating AI within open innovation project management methods.