首页|Reports Outline Artificial Intelligence Study Results from Lagos State Universit y (Artificial Intelligence Adoption and Project Success: A Mixed-Method Study)
Reports Outline Artificial Intelligence Study Results from Lagos State Universit y (Artificial Intelligence Adoption and Project Success: A Mixed-Method Study)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news originating from Lagos, Nigeria , by NewsRx correspondents, research stated, “AI’s growing acceptance is changin g project management’s human-centric approach. Project management is using AI to automate and support duties. This change could improve workflows, decision-maki ng, and project efficiency.” The news reporters obtained a quote from the research from Lagos State Universit y: “The full influence of AI on project success is unknown. There is little empi rical evidence linking AI use to project outcomes. This ignorance highlights the necessity to study AI’s impact on project management. The project management AI industry is expected to expand 38% annually. Since the late 1980s , AI has improved project management by providing more intelligent and autonomou s help. Data privacy, accountability, strategic leadership, communication, innov ation, and emotional intelligence are important ethical issues. This study exami nes how AI adoption affects project success through communication and feedback. This mixed-method study examines how AI adoption affects project success. The qu antitative phase measured AI communication, feedback, and project progress via a predefined questionnaire. The sample includes construction, IT, manufacturing, healthcare, and finance project managers and team members. Multiple regression a nalysis and structural equation modelling were employed in IBM SPSS AMOS to exam ine AI adoption and project success measures. A qualitative phase of semi-struct ured interviews with respondents contextualised the quantitative data. Thematic analysis gleaned insights from interview transcripts. AI’s impact on project suc cess was examined using integrated data, with ethics in mind. The study examined AI tool-project success relationships using a structural equation model. Commun ication mode, feedback style, and frequency explained 3% of projec t success variance. Quantitative research showed that AI communication frequency improves project success, whereas mode and style negatively impact it. Particip ants’ qualitative comments indicated six themes that match quantitative findings , and their replies enhance quantitative results and recommend improvements. The study concluded that AI communication frequency positively increases project su ccess, while mode and style negatively affect it.”
Lagos State UniversityLagosNigeriaAfricaArtificial IntelligenceEmerging TechnologiesMachine Learning
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