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Determinates of Consumer Adoption Attitudes: An Empirical Study of Smart Home Services

Determinates of Consumer Adoption Attitudes: An Empirical Study of Smart Home Services

Tsui-Yii Shih
Copyright: © 2013 |Volume: 5 |Issue: 2 |Pages: 17
ISSN: 1937-9633|EISSN: 1937-9641|EISBN13: 9781466632622|DOI: 10.4018/jea.2013040104
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MLA

Shih, Tsui-Yii. "Determinates of Consumer Adoption Attitudes: An Empirical Study of Smart Home Services." IJEA vol.5, no.2 2013: pp.40-56. http://doi.org/10.4018/jea.2013040104

APA

Shih, T. (2013). Determinates of Consumer Adoption Attitudes: An Empirical Study of Smart Home Services. International Journal of E-Adoption (IJEA), 5(2), 40-56. http://doi.org/10.4018/jea.2013040104

Chicago

Shih, Tsui-Yii. "Determinates of Consumer Adoption Attitudes: An Empirical Study of Smart Home Services," International Journal of E-Adoption (IJEA) 5, no.2: 40-56. http://doi.org/10.4018/jea.2013040104

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Abstract

Smart home services (SHS) have been developed by related firms and have had a strong impact on consumers’ lives. This research integrates involvement antecedents, innovation diffusion factors and a technology acceptance model to develop a conceptual framework for discussing consumer attitudes and adoption behaviors toward smart home service applications. A sample of 580 respondents from different smart home buildings in Taiwan was asked to complete a survey. This paper proposes and validates a structured methodology for assessing and improving smart home service development. The research results verify that involvement antecedents (interest), innovation diffusion factors (observability, compatibility, relative advantage), and technology acceptance model (perceived usefulness) positively affect consumer attitudes toward the adoption of smart home services and that positive adoption attitudes lead to higher levels of adoption behavior. Perceived ease of use has no influence on consumer adoption attitudes toward smart home services unless through the mediating effects of perceived usefulness. Demographic variables, including gender, age and personal income, play important segmentation roles in the promotion strategies for smart home services.

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