參考文獻 |
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.
Alepis, E., & Patsakis, C. (2017). Monkey says, monkey does: security and privacy on voice assistants. IEEE Access, 5, 17841–17851.
Allport, G. W. (1961). Pattern and Growth in Personality. Holt, Rinehart, & Winston, New York.
Anderson, E. W., & Sullivan, M. W. (1993). The antecedents and consequences of customer satisfaction for firms. Marketing Science, 12(2), 125–143.
Andrade, E. B., Kaltcheva, V., & Weitz, B. (2002). Self-disclosure on the web: the impact of privacy policy, reward, and company reputation. Advances in Consumer Research (Vol. 29), 350–353.
Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or fun: measuring hedonic and utilitarian shopping value. Journal of Consumer Research, 20(4), 644–656.
Baird, I. S., & Thomas, H. (1985). Toward a contingency model of strategic risk taking. Academy of Management Review, 10(2), 230–243.
Bauer, R. A. (1960). Consumer behavior as risk taking. In Dynamic Marketing for a Changing World, 389–398. American Marketing Association, Chicago.
Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238.
Bentler, P. M. (1995). EQS Structural Equations Program Manual. Multivariate Software, Encino, CA.
Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588.
Bhattacherjee, A. (2001a). Understanding information systems continuance: an expectation-confirmation model. MIS Quarterly, 25(3), 351–370.
Bhattacherjee, A. (2001b). An empirical analysis of the antecedents of electronic commerce service continuance. Decision Support Systems, 32(2), 201–214.
Bridges, E., & Florsheim, R. (2008). Hedonic and utilitarian shopping goals: the online experience. Journal of Business Research, 61(4), 309–314.
Broder, A. (2018). A call to arms: embrace assistive AI systems! In Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 1.
Browne, M. W., & Mels, G. (1990). RAMONA PC: User’s Guide. Department of Statistics, University of South Africa.
Chang, C. (2004). The interplay of product class knowledge and trial experience in attitude formation. Journal of Advertising, 33(1), 83–92.
Chatzoglou, P., Chatzoudes, D., Ioakeimidou, D., & Tokoutsi, A. (2020). Generation Z: factors affecting the use of social networking sites. In 2020 15th International Workshop on Semantic and Social Media Adaptation and Personalization, 1–6. IEEE.
Chiu, C. M., Chiu, C. S., & Chang, H. C. (2007). Examining the integrated influence of fairness and quality on learners’ satisfaction and web‐based learning continuance intention. Information Systems Journal, 17(3), 271–287.
Chopra, S., & Chivukula, S. (2017). My phone assistant should know I am an Indian: influencing factors for adoption of assistive agents. In Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services, 1–8.
Correa, T., Hinsley, A. W., & De Zuniga, H. G. (2010). Who interacts on the web?: the intersection of users’ personality and social media use. Computers in Human Behavior, 26(2), 247–253.
Costa Jr, P. T., & McCrae, R. R. (1992). Four ways five factors are basic. Personality and Individual Differences, 13(6), 653–665.
ABI Research. (2020). COVID-19 cuts smart home growth by US$14 billion in 2020, but drives future change. ABI Research. Retrieved May 23, 2022, from https://www.abiresearch.com/press/covid-19-cuts-smart-home-growth-us14-billion-2020-drives-future-change/.
Crespo, Á. H., Del Bosque, I. R., & de los Salmones Sánchez, M. G. (2009). The influence of perceived risk on Internet shopping behavior: a multidimensional perspective. Journal of Risk Research, 12(2), 259–277.
Csikszentmihalyi, M. (2000). Beyond boredom and anxiety. Jossey-Bass, San Francisco.
Dabholkar, P. A., Shepherd, C. D., & Thorpe, D. I. (2000). A comprehensive framework for service quality: an investigation of critical conceptual and measurement issues through a longitudinal study. Journal of Retailing, 76(2), 139–173.
Darley, J. M., Glucksberg, S., & Kinchla, R. A. (1991). Psychology (5th ed.). Prentice Hall, New Jersey.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319–340.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982–1003.
Dawson, S., Bloch, P. H., & Ridgway, N. M. (2002). Shopping motives, emotional states, and retail outcomes. In Retailing: The Environments of Retailing, 65–81. Routledge, London.
Day, D. V., & Silverman, S. B. (1989). Personality and job performance: evidence of incremental validity. Personnel Psychology, 42(1), 25–36.
Diefenbach, S., Kolb, N., & Hassenzahl, M. (2014). The hedonic in human-computer interaction: history, contributions, and future research directions. In Proceedings of the 2014 Conference on Designing Interactive Systems, 305–314.
Dinev, T., & Hart, P. (2006). An extended privacy calculus model for e-commerce transactions. Information Systems Research, 17(1), 61–80.
Dinev, T., Xu, H., Smith, J. H., & Hart, P. (2013). Information privacy and correlates: an empirical attempt to bridge and distinguish privacy-related concepts. European Journal of Information Systems, 22(3), 295–316.
Drennan, J., & Sullivan Mort, G. (2003). Examination of the influence of personal attributes on consumer use of m-services. In Proceedings of the 2003 Australian and New Zealand Marketing Academy Conference, 809–817. Australian and New Zealand Marketing Academy, Adelaide.
Ducoffe, R. H. (1996). Advertising value and advertising on the web-blog@ management. Journal of Advertising Research, 36(5), 21–32.
Feng, H., Fawaz, K., & Shin, K. G. (2017). Continuous authentication for voice assistants. In Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking, 343–355.
Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: an introduction to theory and research. Philosophy and Rhetoric, 10(2).
Fornell, C. (1992). A national customer satisfaction barometer: the Swedish experience. Journal of Marketing, 56(1), 6–21.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.
Ghosh, C., & Eastin, M. S. (2020). Understanding users’ relationship with voice assistants and how it affects privacy concerns and information disclosure behavior. International Conference on Human-Computer Interaction, 381–392.
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis, 3, 98–99. Prentice Hall, New Jersey.
Harbich, S., & Auer, S. (2005). Rater bias: the influence of hedonic quality on usability questionnaires. IFIP Conference on Human-Computer Interaction, 1129–1133.
Hassenzahl, M., Platz, A., Burmester, M., & Lehner, K. (2000). Hedonic and ergonomic quality aspects determine a software’s appeal. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 201–208.
Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: conceptual foundations. Journal of Marketing, 60(3), 50–68.
Hoy, M. B. (2018). Alexa, Siri, Cortana, and more: an introduction to voice assistants. Medical Reference Services Quarterly, 37(1), 81–88.
Huang, M. H. (2003). Designing website attributes to induce experiential encounters. Computers in Human Behavior, 19(4), 425–442.
Insider Intelligence. (2022). Voice assistants in 2022: usage, growth, and future of the AI voice assistant market. Insider Intelligence. Retrieved May 23, 2022, from https://www.insiderintelligence.com/insights/voice-assistants/.
Jacoby, J., & Kaplan, L. B. (1972). The components of perceived risk. Advances in Consumer Research, 3, 382–383.
Jeffs, M. (2018). OK Google, Siri, Alexa, Cortana; can you tell me some stats on voice search. Retrieved May 23, 2022, from https://edit.co.uk/blog/google-voice-search-stats-growth-trends/.
John, O. P., Donahue, E. M., & Kentle, R. L. (1991). Big five inventory. University of California, Berkeley.
Jung, T., Dieck, M., Rauschnabel, P., Ascenção, M., Tuominen, P., & Moilanen, T. (2018). Functional, hedonic or social? exploring antecedents and consequences of virtual reality rollercoaster usage. In Augmented Reality and Virtual Reality, 247–258. Springer.
Junglas, I. A., Johnson, N. A., & Spitzmüller, C. (2008). Personality traits and concern for privacy: an empirical study in the context of location-based services. European Journal of Information Systems, 17(4), 387–402.
Kaplan, D. (1990). Evaluating and modifying covariance structure models: a review and recommendation. Multivariate Behavioral Research, 25(2), 137–155.
Kashdan, T. B., Disabato, D. J., Goodman, F. R., & Naughton, C. (2018). The five dimensions of curiosity. Harvard Business Review, 96(5), 58–60.
Keith, M. J., Thompson, S. C., Hale, J., Lowry, P. B., & Greer, C. (2013). Information disclosure on mobile devices: re-examining privacy calculus with actual user behavior. International Journal of Human-Computer Studies, 71(12), 1163–1173.
Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: the role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544–564.
Kim, D. J., & Hwang, Y. (2012). A study of mobile internet user’s service quality perceptions from a user’s utilitarian and hedonic value tendency perspectives. Information Systems Frontiers, 14(2), 409–421.
Kuo, Y. F., Wu, C. M., & Deng, W. J. (2009). The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value-added services. Computers in Human Behavior, 25(4), 887–896.
Lee, S., & Choi, J. (2017). Enhancing user experience with conversational agent for movie recommendation: effects of self-disclosure and reciprocity. International Journal of Human-Computer Studies, 103, 95–105.
Lei, X., Tu, G. H., Liu, A. X., Li, C. Y., & Xie, T. (2018). The insecurity of home digital voice assistants-vulnerabilities, attacks and countermeasures. In 2018 IEEE Conference on Communications and Network Security, 1–9. IEEE.
Li, H., Sarathy, R., & Xu, H. (2011). The role of affect and cognition on online consumers’ decision to disclose personal information to unfamiliar online vendors. Decision Support Systems, 51(3), 434–445.
Lim, N. (2003). Consumers’ perceived risk: sources versus consequences. Electronic Commerce Research and Applications, 2(3), 216–228.
Limayem, M., Hirt, S. G., & Cheung, C. M. (2007). How habit limits the predictive power of intention: the case of information systems continuance. MIS Quarterly, 705–737.
Luarn, P., & Lin, H. H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior, 21(6), 873–891.
Luger, E., & Sellen, A. (2016). The gulf between user expectation and experience of conversational agents. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 5286–5297.
Lwin, M., Wirtz, J., & Williams, J. D. (2007). Consumer online privacy concerns and responses: a power–responsibility equilibrium perspective. Journal of the Academy of Marketing Science, 35(4), 572–585.
MacIver, J., & Carmines, E. G. (1981). Unidimensional Scaling (Vol. 24). Sage, CA.
Malone, T. W. (1981). Toward a theory of intrinsically motivating instruction. Cognitive Science, 5(4), 333–369.
Mano, H., & Oliver, R. L. (1993). Assessing the dimensionality and structure of the consumption experience: evaluation, feeling, and satisfaction. Journal of Consumer Research, 20(3), 451–466.
McLean, G., & Osei-Frimpong, K. (2019). Hey Alexa … examine the variables influencing the use of artificial intelligent in-home voice assistants. Computers in Human Behavior, 99, 28–37.
Murray, K. B., & Schlacter, J. L. (1990). The impact of services versus goods on consumers’ assessment of perceived risk and variability. Journal of the Academy of Marketing Science, 18(1), 51–65.
Nascimento, B., Oliveira, T., & Tam, C. (2018). Wearable technology: what explains continuance intention in smartwatches? Journal of Retailing and Consumer Services, 43, 157–169.
Nunally, J. C. (1978). Psychometric Theory (2nd ed.). McGraw Hill, New York.
Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460–469.
Oliver, R. L., & DeSarbo, W. S. (1988). Response determinants in satisfaction judgments. Journal of Consumer Research, 14(4), 495–507.
Oliver, R. L., & Swan, J. E. (1989). Equity and disconfirmation perceptions as influences on merchant and product satisfaction. Journal of Consumer Research, 16(3), 372–383.
Ryan, R. M., & Deci, E. L. (2000). Intrinsic and extrinsic motivations: classic definitions and new directions. Contemporary Educational Psychology, 25(1), 54–67.
Taylor, S., & Todd, P. (1995). Assessing IT usage: the role of prior experience. MIS Quarterly, 19(4), 561–570.
Thong, J. Y., Hong, S. J., & Tam, K. Y. (2006). The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance. International Journal of Human-Computer Studies, 64(9), 799–810.
Tse, D. K., & Wilton, P. C. (1988). Models of consumer satisfaction formation: an extension. Journal of Marketing Research, 25(2), 204–212.
Turel, O., & Serenko, A. (2006). Satisfaction with mobile services in Canada: an empirical investigation. Telecommunications Policy, 30(5–6), 314–331.
Vallerand, R. J. (1997). Toward a hierarchical model of intrinsic and extrinsic motivation. In Advances in Experimental Social Psychology (Vol. 29), 271–360. Academic Press, New York.
Venkatesh, V., & Morris, M. G. (2000). Why don’t men ever stop to ask for directions? gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly, 24(1), 115–139.
ReportLinker. (2022). Voice assistant application global market report 2022. ReportLinker. Retrieved May 23, 2022, from https://www.reportlinker.com/p06233734/Voice-Assistant-Application-Global-Market-Report.html.
Wakefield, K. L., & Baker, J. (1998). Excitement at the mall: determinants and effects on shopping response. Journal of Retailing, 74(4), 515–539.
Wang, S. S. (2013). Personality traits, life satisfaction, and Facebook check-ins. Cyberpsychology, Behavior, and Social Networking, 16(12), 870–877.
Whang, C. (2018). Voice Shopping: The Effect of the Consumer-Voice Assistant Parasocial Relationship on the Consumer’s Perception and Decision Making. The University of Minnesota Digital Conservancy.
Woodside JR, A. G. (1968). Group Influence and Consumer Risk Taking: An Experimental Study. The Pennsylvania State University.
Yang, H., & Lee, H. (2019). Understanding user behavior of virtual personal assistant devices. Information Systems and E-Business Management, 17(1), 65–87.
Yuan, C., Zhang, C., & Wang, S. (2022). Social anxiety as a moderator in consumer willingness to accept AI assistants based on utilitarian and hedonic values. Journal of Retailing and Consumer Services, 65, 1–11.
Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2–22.
Zeng, S. Y., Wu, L. L., & Chen, H. G. (2009). Sharing private information online: the mediator effect of social exchange. In Proceedings of the 11th International Conference on Electronic Commerce, 231–239.
吳肇銘(1999)。影響網站使用意向之因素研究─以入門網站為例。國立中央大學資訊管理研究所博士論文,桃園市。
蕭文龍、郭庭伊(2010)。部落客持續使用部落格之研究:以整合期望確認,科技接受模式和個人因素觀點探討。電子商務學報,12(2),221–249。
台灣資策會產業情報研究所(2019)。語音助理主宰智慧家庭?。2022年5月23日,取自https://mic.iii.org.tw/industry.aspx?id=347。 |