Technology Acceptance Model in U.S. Extension: CRM Adoption

QUALITATIVE INVESTIGATION OF TAM

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identification of employee resistance as a significant barrier aligns with TAM ’ s acknowledgment

that individuals may resist adopting new technologies. The negative correlation between

perceived ease of use and employee resistance, while not statistically significant, suggests there

is a potential role of user-friendliness of interface design in some CRM implementations across

the CES.

Methodology

The combination of semi-structured interviews, triangulated against landscape

assessment data, allowed for a comprehensive data collection process. The semi-structured

interviews provided nuanced perspectives, while the survey from the landscape assessment

allowed for a broader quantitative overview. However, there were significant challenges in

generating useful data from the post-interview survey that may have been rooted in a design

flaw. The post-interview survey contained many open-ended questions that ended up not being

relevant to many research participants. Fortunately, the post-interview survey shared nearly

identical questions with the landscape assessment, and the proximity of time between data

collection for the interviews and the landscape assessment was insignificant. Regardless, a dual

approach of utilizing existing landscape assessment data and interview data appears effective.

The distribution of participants across different regions of the CES better enabled research

validity, and the findings are more likely to be generalizable to the broader CES.

In several cases, qualitative data responses were binary or had limited options, which

offered the opportunity to quantify the data for statistical analysis. The combination of statistical

trends with qualitative insights added greater depth and context to the research, strengthening the

credibility and reliability. The choice to investigate employee resistance alongside TAM

principles provided valuable insights into the interplay between technology and human factors

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