ADAPTING LEADERSHIP: PROJECT MANAGERS' STRATEGIES IN THE ERA OF ARTIFICIAL INTELLIGENCE
                        Аннотация
                            This study investigates the lived experiences and perceptions of project managers operating within the realm of AI-enabled projects. Employing a phenomenological approach, the research delves into the essence of these professionals' encounters, aiming to elucidate how they comprehend and navigate the integration of artificial intelligence into their leadership practices and decision-making frameworks. Through purposive sampling, experienced project managers from diverse backgrounds and industries were selected to ensure a rich tapestry of insights. Semi-structured interviews served as the primary method of data collection, allowing flexibility and depth in exploring participants' perspectives. Thematic analysis was then employed to uncover patterns and insights regarding project managers' adaptation of leadership styles and decision-making processes in AI-enabled projects. The study adhered to ethical guidelines, ensuring participant confidentiality and the right to withdraw from the study. The findings contribute to the understanding of AI's impact on project management, providing valuable insights for both academia and industry practitioners.
                        Автор
                            Диана Серикбай
                                                                    Каиржан Саясатович
                                                            DOI
                            
                                https://doi.org/10.48081/YWGE4508
                            
                        Ключевые слова
                            project management 
                                                                    artificial intelligence
                                                                    leadership
                                                                    decision making
                                                                    thematic analysis
                                                                    qualitative research
                                                            Год
                            2024
                        Номер
                            Выпуск 3