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AI-generated Abstract

Consumer adoption of technological innovations is analyzed through the lens of a proposed framework combining core and supplemental knowledge with compatibility factors. Traditional models, notably Rogers' adopter categories, have faced scrutiny due to their oversimplifications and limitations in measuring innovativeness. By extending the conceptualization of consumer adoption to include compatibility at the knowledge stage, the research highlights the importance of congruence between innovation and consumer lifestyle, ultimately influencing adoption behavior across different consumer segments.