Revisiting Management Theories In The Era Of Generative Artificial Intelligence: Evidence From Technology Management In Software Organizations

Background: As businesses evolved in complexity, management theories shifted towards understanding the human aspect of organizations. Human relations theories emerged, placing a stronger emphasis on employee motivation, teamwork, and leadership styles that foster a positive work environment. With the digital revolution, new theories such as systems theory and contingency theory came into play. These highlighted the critical importance of adaptability, recognizing that organizations are complex systems with interdependent parts that must be managed in a holistic and flexible manner to respond effectively to changing technological and market conditions.
Results: The Category/Sub-Category column enumerates various categories and sub-categories pertinent to technology management. These delineations presumably delineate distinct facets or dimensions of management within the domain of software solutions. CA (Cronbach's Alpha) is a statistical measure used to gauge the internal consistency or reliability of a set of scale items. Within this table, it appears to signify the reliability of the factors or sub-categories listed. Higher CA values suggest stronger internal consistency within the respective factors or sub-categories.
Conclusion: overall, the transformative potential of advanced generative AI technologies in reshaping management theories within software solutions. By embracing these technologies and leveraging the insights derived from the variables elucidated in the model, organizations can pave the way for pioneering progress and innovation in the field of technology management.
Contribution: This study make valuable contribution to societies provides valuable insights for organizations seeking to leverage AI technologies effectively in their management strategies.