QUALITATIVE INVESTIGATION OF TAM
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alongside the video recordings for accuracy and updated as necessary. All interview responses
underwent an axial coding process to highlight the key themes and connections between
participant responses (see Appendix C). Select responses were assigned a quantified coding
structure, where binary responses were available to conduct a statistical analysis in the Python
software. Similarly, data from the landscape assessment followed the same coding process as the
interviews, incorporating both qualitative and quantitative coding structures for comparative and
statistical analysis.
Trustworthiness
Multiple strategies were utilized to enhance the credibility, dependability, confirmability,
and transferability of this research. First, interview data was triangulated against data from the
landscape assessment regarding perceived benefits, barriers, ease of use, and usefulness of CRM
systems, which allows for a cross-validation of findings that reduce any biases inherent to both
the researcher and any one data source. Additionally, during the interview process, the researcher
engaged at length with participants to ensure their perspectives were fully represented in the
study. Following the interview, participant summaries were created and matched to the
appropriate codes and provided directly to each individual participant for feedback to ensure that
their comments and quotes were indeed a reflection of what was discussed in their interview.
Interview participants had the opportunity to respond and request corrections or changes as
necessary. This process ensures the accuracy and authenticity of these findings.
Additionally, participants have been briefed on the research process for their feedback,
which included one CES administrator co-designing several of the questions that were thought to
be most beneficial in this research. This collaborative approach and scrutiny helped ensure that
the research and these findings are consistent with the expectations of stakeholders. Lastly, given
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