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

QUALITATIVE INVESTIGATION OF TAM

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et al., 2020). In this research study, adoption patterns were examined using a socio-psychological

theoretical lens to test the applicability of the TAM in predicting climate-smart agricultural

practice technology adoption among farming communities. The results of this study

demonstrated that social processes are central in influencing decisions on adoption, especially

around ease of use, usefulness, and perceived risk. The implication of this study, in the context of

the proposed research, is that the TAM can be applied through the socio-psychological tradition.

Kamrath et al. (2018) also examined the TAM through socio-psychological factors in the

agricultural industry around postharvest handling technology. The study examined the decisions

of traders within the tomato value chain, including 19 retailers, 13 village collectors, and 48

wholesalers, utilizing a survey questionnaire to test the theoretical model (Kamrath et al., 2018).

The results of this study concluded that perceived behavioral control and subjective norm were

the most important factors explaining r espondents’ behavioral intention . In attitude,

measurements of attitude were significantly influenced by perceived usefulness and perceived

ease of use.

Yang and Yoo (2004) revisited the TAM to consider affective and cognitive dimensions

of attitude and hypothesized a hierarchy of beliefs: cognitive attitude, affective attitude, and

information systems use. Concisely, this study examined the mediating role of socio-

psychological factors such as affective attitude and cognitive attitude on TAM factors such as

perceived ease of use and perceived usefulness (Yang & Yoo, 2004). The research indicates that

socio-psychological literature suggests that attitude has both affective and cognitive components.

Affective refers to how much an individual likes the object of thought, while cognitive

components refer to an individual’s specific beliefs related to the object . Data was collected from

undergraduate students ( N = 211) majoring in management information systems, and they were

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