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

QUALITATIVE INVESTIGATION OF TAM

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usage in companies, and five articles were selected as the basis of this research. The findings of

this study highlight that CRM technology provides convenience to employees in processing data,

reports, and delivering information to customers. Additionally, CRM technologies make it easy

for customer service administrators to manage customer inquiries and provide convenience for

customers to get the latest information about products or services from the company, as well as

convey questions or complaints to the company while having those items recorded neatly in the

system. Lastly, CRM technology provides the company with knowledge about customers ’

wishes so the company can strive to improve company performance while maintaining old

customers and soliciting new customers.

Additional Organizational Impacts of CRM Adoption and Implementation

Chatterjee et al. (2020) looked at the role of knowledge management in improving

business processes and developed an interpretative framework for the successful implementation

of CRM and knowledge management systems in organizations. The purpose of this study was to

identify the critical success factors for AI-integrated CRM systems for better knowledge

management in organizations to improve business processes (Chatterjee et al., 2020). This study

also explores how critical success factors are interrelated and how they can be classified and

categorized according to their levels of importance. Through interpretive structural modeling,

this study helped identify the specific relationships among the factors and utilized a series of

brainstorming sessions with CRM experts, applying a Delphi method. Sixteen critical success

factors were identified, and the interrelationship between those factors was established through

an interpretive structural modeling technique. The findings of this study suggest that out of the

sixteen critical success factors, leadership support, adequate funding, and the support of

functional area leaders were the most important factors for artificial intelligence, CRM, and

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