원문정보
초록
영어
Although firms try to adopt innovation delivering added value for consumers, most firms are faced with a large number of innovation failures. Many consumers feel psychological resistance to innovations and refuse to adopt them. Although it can be assumed that innovation resistance has an negative effect on consumers’ intention to adopt innovations, most researchers have verified adoption process and neglected the impact of innovation resistance on innovation diffusion. Innovation resistance is not the opposite of adoption and innovation adoption begins only after this resistance has been overcome. Therefore, it is crucial to understand consumers’ psychological resistance to find out why innovation diffusion often fails. This study focuses on consumers’ resistance to innovation and aims to verify the factors affecting consumer resistance to innovation from adopting mobile video telephony service. The author suggests that consumers’ risk perceptions in mobile video telephony service have an impact on innovation resistance. Specifically, the author incorporates perceived risk as a key antecedent of innovation resistance and expands this construct into five facets including financial, social, performance, technological, and privacy risk. Also, the author suggests word-of-mouth and perceived usefulness moderate the impact of perceived risk on innovation resistance based on chasm theory. The research model postulates the following 3 hypotheses about relationships between four constructs: (H1) Perceived risk has a positive effect on innovation resistance; (H2) Word-of-mouth moderates the impact of perceived risk on innovation resistance; (H3) Perceived usefulness moderates the impact of perceived risk on innovation resistance. To test the hypotheses, we recruited a sample of 180 undergraduate students. The questionnaire was developed based on previous researches. It was composed of five facets of perceived risk, perceived usefulness, word-of-mouth, and innovation resistance. We also asked questions about their demographic background including gender and age. Data collection was implemented by an online research firm and students answered questions online. The data was analyzed by reliability test, factor analysis, correlation analysis, and regression analysis using SPSS. Result indicates that social, performance, and privacy risk are salient antecedents to innovation resistance. In addition, the author verifies that word-of-mouth and perceived usefulness of mobile video telephony service moderate the effect of risk perception on innovation resistance. Specifically, the results indicate that word-of-mouth and perceived usefulness moderate the impact of social risk and privacy risk.