I would like to test a technology using the Technology Acceptance Model using the extended model by De Cicco et al., 2022. However, additionally to the proposed variables I would also like to test for "Output Quality", which is used in numerous other researches using TAM (e.g. Venkatesh, 2000).
Now, it's not really clear to me what the procedure is for extending the TAM to use it for actually evaluating a technology. Does an extended model with a new set of variables need to be validated first? And what would this process look like? Or is it sufficient that each variable has been tested before, allowing them to be combined in an extended TAM?
De Cicco et al (2022). "Understanding Users’ Acceptance of Chatbots: An Extended TAM Approach.” In Chatbot Research and Design. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-030-94890-0_1.
Venkatesh, V., & Davis, F. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46, 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
Extending the Technology Acceptance Model (TAM) with an additional antecedent involves several steps:
1. **Literature Review:** Conduct a thorough literature review to identify relevant antecedents that have been studied in the context of technology acceptance. Choose an antecedent that aligns with your research objectives and theoretical framework.
2. **Theoretical Framework:** Clearly define your theoretical framework by integrating the selected antecedent with the TAM. Understand how the new antecedent interacts with the core TAM constructs (perceived usefulness and perceived ease of use).
3. **Hypothesis Formulation:** Develop hypotheses that articulate the relationships between the new antecedent, perceived usefulness, perceived ease of use, and behavioral intentions to use the technology. These hypotheses will guide your research and provide a basis for testing your model.
4. **Data Collection:** Gather relevant data through surveys, interviews, or experiments. Ensure that your data collection methods align with your research design and allow you to measure the constructs accurately.
5. **Data Analysis:** Use appropriate statistical techniques, such as regression analysis or structural equation modeling (SEM), to analyze the collected data. Evaluate the relationships between the antecedent, TAM constructs, and behavioral intentions. Assess the significance and strength of these relationships.
6. **Interpretation:** Interpret the results of your analysis. Determine whether the new antecedent has a significant impact on perceived usefulness, perceived ease of use, and behavioral intentions. Discuss the implications of your findings in the context of existing literature and theoretical frameworks.
7. **Discussion and Conclusion:** Summarize your findings, discussing their theoretical and practical implications. Address the limitations of your study and suggest directions for future research.
8. **Documentation:** Document your research methodology, data analysis procedures, results, and conclusions in a clear and concise manner. Consider publishing your work in academic journals or conferences to contribute to the existing body of knowledge.
Remember that each research study is unique, so adapt these steps according to your specific research context and objectives.
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