Managerial Perceptions Of AI-Assisted Work Quality: A Protocol Report Of Communications Management Industries Perspective

This study investigates the use of ChatGPT for organizational tasks, focusing on how AI awareness influences managers' perceptions of quality and their evaluation of AI-assisted output. It reviews existing literature on human-machine co-creation, managerial perceptions of AI in the workplace, and communication management. The paper applies the D&M Information Systems Success Model and Total Quality Management theory to examine quality attributes such as relevance, accuracy, creativity, completeness, and alignment with organizational goals, guiding operational measures to assess managerial perceptions of quality in AI-assisted tasks. This study employs a mixed-methods experimental design to investigate how managers' awareness of AI capabilities affects their perceptions of quality and evaluation of employee work when using ChatGPT as a cocreator. It focuses on human-AI co-creation in communication-intensive industries (communication management) and addresses gaps in existing research. Particularly research in its analysis of the potential effects of AI on managerial perceptions. By integrating the TQM and ISS Models, the research aims to contribute to existing theory and provide a framework for evaluating AI-assisted outputs while clarifying the moderating role of managerial AI awareness on quality perceptions.