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

QUALITATIVE INVESTIGATION OF TAM

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within the CES. Lastly, participant feedback has been crucial for the trustworthiness of the data

and, ultimately, the findings of this study. Interview narratives were provided to participants for

feedback, insights, clarifications, and changes. This collaboration reinforced the strength of the

data and the current sentiments of CES professionals regarding CRM technologies.

Practical

The findings of this study hold several practical implications for the CES and similar

organizations that are considering CRM technology implementation. First, CES professionals

need to engage in an informed decision-making process regarding the selection of CRM

technologies. According to the findings of this research, the vast majority of CES organizations

have already adopted or are considering Salesforce as a software solution. Participants largely

reported that the use of Salesforce stems from its use in other areas of the university, allowing for

the benefit of existing infrastructure and support. However, the findings of this study highlight a

lower level of perceived ease of use with Salesforce, with a positive correlation toward low

reported adoption success. On the other hand, universities using non-Salesforce systems do

appear to report higher levels of perceived ease of use alongside higher levels of reported

adoption success.

This research also highlights that employee resistance can pose a significant challenge to

CRM adoption within the CES. With this understanding, CES leaders should consider change

management strategies and a strong leadership commitment toward developing appropriate

policies and procedures that encourage use. The centralization of data in the CES raises concerns

for CES professionals who have developed trusted relationships with community members;

efforts to ensure data privacy and limit visibility of shared contacts where appropriate could

address these concerns. Additionally, for successful adoption and quality data management,

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