簡易檢索 / 詳目顯示

研究生: 鄭茲鴻
Tzu-Hung Cheng
論文名稱: 智慧音箱使用意願之研究-以科技接受模式與流暢經驗為基礎
A Study on Users’ Intention of Using Smart Speakers Based on the Technology Acceptance Model and Flow Experience
指導教授: 吳克振
Cou-Chen Wu
口試委員: 張順教
Shun-Chiao Chang
邢姍姍
San-San Hsing
學位類別: 碩士
Master
系所名稱: 管理學院 - 企業管理系
Department of Business Administration
論文出版年: 2020
畢業學年度: 108
語文別: 中文
論文頁數: 59
中文關鍵詞: 智慧音箱科技接受模型認知信任情感信任流暢經驗
外文關鍵詞: Smart Speaker, Technology Acceptance Model, Cognition -based Trust, Affect-based Trust, Flow Experience
相關次數: 點閱:479下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 智慧音箱自2014年Amazon推出Amazon Echo以來,各家廠商如雨後春筍般推出各自品牌的智慧音箱。智慧音箱、智慧家庭市場蓬勃發展。智慧音箱在歐美市場十分熱銷,然而台灣智慧音箱的市場卻不如預期。本研究在研究一運用科技接受模型並加入認知信任、情感信任理論加以擴充,旨在研究台灣智慧音箱使用者的使用意圖受哪些因素影響。研究二再加上流暢經驗理論,探索哪些變數會影響使用智慧音箱的流暢經驗。
    本研究於各大學Facebook社團收集問卷,研究一收集到154份有效問卷,以SPSS進行迴歸分析。研究二為70份有效問卷,以SPSS進行迴歸分析。
    主要研究結果為,認知有用性、認知信任、情感信任皆與使用態度有顯著關係。感知連接速度、對話自然對流暢經驗有相對重要性。本研究為目前還為數不多的台灣智慧音箱使用者研究做出貢獻。


    Since Amazon launched Amazon Echo in 2014, a lot of manufacturers have promoted smart speakers of their respective brands that trigger the boom of smart speaker and smart home markets.
    Though smart speakers in the European and American markets are very popular now, so far it is not so popular as expected in Taiwan.
    In Study 1, we use the technology acceptance model extended with the addition of cognition -based trust and affect-based trust theory, aiming to study the affected factors of Taiwanese user smart speaker behavioral intention to use. In Study 2, we explore the variables that affect the flow experience of using smart speakers.
    In this research, questionnaires were collected from Facebook group of several Taiwan universities. In Study 1, 154 valid questionnaires were collected. Use SPSS25 for regression analysis. Study 2 has 70 effective questionnaires, using SPSS for regression analysis.
    The main research findings are perceived ease of use, cognition -based trust, and affect-based trust are all significantly related to attitudes toward using, and the perceived access speed and humanization of dialogue has a significant relationship with flow experience.

    摘要 iv Abstract v 謝誌 vi 目錄 vii 圖目錄 viii 表目錄 ix 第一章 緒論 1 第一節 研究背景與動機 1 第二節 研究目的 2 第三節 研究流程 3 第二章 文獻回顧及探討 4 第一節 科技接受模型(Technology Acceptance Model) 4 第二節 信任(Trust) 5 第三節 流暢經驗(Flow Experience) 6 第三章 智慧音箱使用態度、意圖之研究 7 第一節 研究理論與假說 7 第二節 問卷設計 12 第三節 研究結果 13 第一項 敘述性統計分析 13 第二項 信度、效度分析 14 第三項 研究假設檢驗與迴歸分析結果 20 第四章 智慧音箱流暢經驗之研究 29 第一節 研究理論與假說 29 第二節 問卷設計 31 第三節 研究結果 31 第一項 敘述性統計分析 31 第二項 信度、效度分析 33 第三項 研究假設檢驗與迴歸分析結果 36 第五章 結論與建議 40 第一節 結論 40 第二節 研究貢獻 42 第三節 研究限制與建議 43 參考文獻 44

    Agarwal, Ritu, & Prasad, Jayesh. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information systems research, 9(2), 204-215.
    Ahn, Tony, Ryu, Seewon, & Han, Ingoo. (2004). The impact of the online and offline features on the user acceptance of Internet shopping malls. Electronic commerce research and applications, 3(4), 405-420.
    Ameen, Nisreen, Shah, Mahmood Hussain, Sims, Julian, Choudrie, Jyoti, & Willis, Robert. (2020). Are there peas in a pod when considering mobile phone and mobile applications use: A quantitative study. Journal of Retailing and Consumer Services, 55, 102067.
    Anderson, Eugene W, Fornell, Claes, & Lehmann, Donald R. (1994). Customer satisfaction, market share, and profitability: Findings from Sweden. Journal of marketing, 58(3), 53-66.
    Arpaci, Ibrahim. (2016). Understanding and predicting students' intention to use mobile cloud storage services. Computers in Human Behavior, 58, 150-157.
    Bagozzi, Richard P, Gopinath, Mahesh, & Nyer, Prashanth U. (1999). The role of emotions in marketing. Journal of the academy of marketing science, 27(2), 184-206.
    Biggs, Norman, Biggs, Norman Linstead, & Norman, Biggs. (1993). Algebraic graph theory (Vol. 67): Cambridge university press.
    Calisir, Fethi, Altin Gumussoy, Cigdem, Bayraktaroglu, Ayse E, & Karaali, Demet. (2014). Predicting the intention to use a web‐based learning system: Perceived content quality, anxiety, perceived system quality, image, and the technology acceptance model. Human Factors and Ergonomics in Manufacturing & Service Industries, 24(5), 515-531.
    Celik, Vehbi, & Yesilyurt, Etem. (2013). Attitudes to technology, perceived computer self-efficacy and computer anxiety as predictors of computer supported education. Computers & Education, 60(1), 148-158.
    Chang, Chiao-Chen. (2013). Examining users′ intention to continue using social network games: A flow experience perspective. Telematics and Informatics, 30(4), 311-321.
    Chen, Shang-Yu, & Lu, Chung-Cheng. (2016). A model of green acceptance and intentions to use bike-sharing: YouBike users in Taiwan. Networks and Spatial Economics, 16(4), 1103-1124.
    Chu, Lei. (2019). Why would I adopt a smart speaker?: Consumers’ intention to adopt smart speakers in smart home environment. University of Twente,
    Chua, Roy Yong Joo, Ingram, Paul, & Morris, Michael W. (2008). From the head and the heart: Locating cognition-and affect-based trust in managers' professional networks. Academy of Management journal, 51(3), 436-452.
    Compeau, Deborah R, & Higgins, Christopher A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS quarterly, 189-211.
    Csikszentmihalyi, Mihaly. (1975). Beyond boredom and anxiety: Experiencing flow in work and play. San Francisco/Washington/London.
    Csikszentmihalyi, Mihaly. (1990). The domain of creativity.
    Davis, Fred D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
    Donna, LHTP, & Novak, Hoffman Thomas P. (1997). A new marketing paradigm for electronic commerce. The information society, 13(1), 43-54.
    Gallarza, Martina G, & Saura, Irene Gil. (2006). Value dimensions, perceived value, satisfaction and loyalty: an investigation of university students’ travel behaviour. Tourism management, 27(3), 437-452.
    Garfield, Charles A, & Bennett, Hal Zina. (1984). Peak performance: Mental training techniques of the world's greatest athletes: JP Tarcher.
    George, Cynthia, & Swap, Walter C. (1982). Measurement of specific interpersonal trust: Construction and validation of a scale to assess trust in a specific other. Journal of personality and social psychology, 43(6), 1306.
    Goodhue, Dale L. (1995). Understanding user evaluations of information systems. Management science, 41(12), 1827-1844.
    Ha, Sejin, & Stoel, Leslie. (2009). Consumer e-shopping acceptance: Antecedents in a technology acceptance model. Journal of Business research, 62(5), 565-571.
    Hawkins, Del I, Best, Roger J, & Coney, Kenneth A. (1998). Consumer behavior: Implications for marketing strategy . Chicago: Irwin.  Journal of Business and Psychology.
    Ho, Chin-Chang, & MacDorman, Karl F. (2010). Revisiting the uncanny valley theory: Developing and validating an alternative to the Godspeed indices. Computers in Human Behavior, 26(6), 1508-1518.
    Hoffman, Donna L, & Novak, Thomas P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of marketing, 60(3), 50-68.
    Holmes, John G. (1991). Trust and the appraisal process in close relationships.
    Horton, Donald, & Richard Wohl, R. (1956). Mass communication and para-social interaction: Observations on intimacy at a distance. psychiatry, 19(3), 215-229.
    Hosmer, Larue Tone. (1995). Trust: The connecting link between organizational theory and philosophical ethics. Academy of management Review, 20(2), 379-403.
    Johnson, Devon, & Grayson, Kent. (2005). Cognitive and affective trust in service relationships. Journal of Business research, 58(4), 500-507.
    Joo, Jihyuk, & Sang, Yoonmo. (2013). Exploring Koreans’ smartphone usage: An integrated model of the technology acceptance model and uses and gratifications theory. Computers in Human Behavior, 29(6), 2512-2518.
    Kim, Young Hoon, Kim, Dan J, & Wachter, Kathy. (2013). A study of mobile user engagement (MoEN): Engagement motivations, perceived value, satisfaction, and continued engagement intention. Decision Support Systems, 56, 361-370.
    KINSELLA, BRET. (2018). U.S. Smart Speaker Users Rise to 57 Million.
    Komiak, Sherrie YX, & Benbasat, Izak. (2006). The effects of personalization and familiarity on trust and adoption of recommendation agents. MIS quarterly, 941-960.
    Kowalczuk, Pascal. (2018). Consumer acceptance of smart speakers: a mixed methods approach. Journal of Research in Interactive Marketing.
    Lallmahamood, Muniruddeen. (1970). An Examination of Individualâ   s Perceived Security and Privacy of the Internet in Malaysia and the Influence of This on Their Intention to Use E-Commerce: Using An Extension of the Technology Acceptance Model. The Journal of Internet Banking and Commerce, 12(3), 1-26.
    Lee, Byoung-Chan, Yoon, Jeong-Ok, & Lee, In. (2009). Learners’ acceptance of e-learning in South Korea: Theories and results. Computers & Education, 53(4), 1320-1329.
    Lee, ThaeMin. (2005). The impact of perceptions of interactivity on customer trust and transaction intentions in mobile commerce. Journal of Electronic Commerce Research, 6(3), 165.
    Lewis, J David, & Weigert, Andrew. (1985). Trust as a social reality. Social forces, 63(4), 967-985.
    Liaw, Shu-Sheng, & Huang, Hsiu-Mei. (2015). How factors of personal attitudes and learning environments affect gender difference toward mobile distance learning acceptance. International Review of Research in Open and Distributed Learning, 16(4), 104-132.
    Lopatovska, Irene, & Williams, Harriet. (2018). Personification of the Amazon Alexa: BFF or a mindless companion. Paper presented at the Proceedings of the 2018 Conference on Human Information Interaction & Retrieval.
    Lu, June, Yao, James E, & Yu, Chun-Sheng. (2005). Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology. The Journal of Strategic Information Systems, 14(3), 245-268.
    Mac Callum, Kathryn, & Jeffrey, Lynn. (2014). Comparing the role of ICT literacy and anxiety in the adoption of mobile learning. Computers in Human Behavior, 39, 8-19.
    Moorman, Christine, Zaltman, Gerald, & Deshpande, Rohit. (1992). Relationships between providers and users of market research: The dynamics of trust within and between organizations. Journal of marketing research, 29(3), 314-328.
    Mun, Y Yi, & Hwang, Yujong. (2003). Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International journal of human-computer studies, 59(4), 431-449.
    Nass, Clifford, Moon, Youngme, & Carney, Paul. (1999). Are people polite to computers? Responses to computer‐based interviewing systems 1. Journal of applied social psychology, 29(5), 1093-1109.
    Nikou, Stavros A, & Economides, Anastasios A. (2017). Mobile-based assessment: Investigating the factors that influence behavioral intention to use. Computers & Education, 109, 56-73.
    Nordheim, Cecilie Bertinussen, Følstad, Asbjørn, & Bjørkli, Cato Alexander. (2019). An initial model of trust in chatbots for customer service—Findings from a questionnaire study. Interacting with Computers, 31(3), 317-335.
    Norman, Don. (2014). Things that make us smart: Defending human attributes in the age of the machine: Diversion Books.
    Novak, Thomas P, Hoffman, Donna L, & Duhachek, Adam. (2003). The influence of goal‐directed and experiential activities on online flow experiences. Journal of consumer psychology, 13(1-2), 3-16.
    Pavlou, Paul A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International journal of electronic commerce, 7(3), 101-134.
    Perez, Sarah. (2020). Smart speaker sales reached new record of 146.9M in 2019, up 70% from 2018.
    Pradhan, Alisha, Mehta, Kanika, & Findlater, Leah. (2018). " Accessibility Came by Accident" Use of Voice-Controlled Intelligent Personal Assistants by People with Disabilities. Paper presented at the Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems.
    Purington, Amanda, Taft, Jessie G, Sannon, Shruti, Bazarova, Natalya N, & Taylor, Samuel Hardman. (2017). " Alexa is my new BFF" Social Roles, User Satisfaction, and Personification of the Amazon Echo. Paper presented at the Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems.
    Rempel, John K, Holmes, John G, & Zanna, Mark P. (1985). Trust in close relationships. Journal of personality and social psychology, 49(1), 95.
    Rosenberg, M, & Hovland, CI. (1960). Research on Communication and Attitude, Coated in Triandi, 1971. Attitude and Attitude Change. In: Jhon Wiley Publishers, New York, USA.
    Shin, Donghee. (2019). How does immersion work in augmented reality games? A user-centric view of immersion and engagement. Information, Communication & Society, 22(9), 1212-1229.
    Shin, Young Mee, Lee, Seung Chang, Shin, Bongsik, & Lee, Ho Geun. (2010). Examining influencing factors of post-adoption usage of mobile internet: Focus on the user perception of supplier-side attributes. Information Systems Frontiers, 12(5), 595-606.
    Sánchez-Prieto, José Carlos, Olmos-Migueláñez, Susana, & García-Peñalvo, Francisco J. (2016). Informal tools in formal contexts: Development of a model to assess the acceptance of mobile technologies among teachers. Computers in Human Behavior, 55, 519-528.
    Swan, Jacky, Newell, Sue, Scarbrough, Harry, & Hislop, Donald. (1999). Knowledge management and innovation: networks and networking. Journal of Knowledge management.
    Terzis, Vasileios, & Economides, Anastasios A. (2011). The acceptance and use of computer based assessment. Computers & Education, 56(4), 1032-1044.
    Trevino, Linda Klebe, & Webster, Jane. (1992). Flow in computer-mediated communication: Electronic mail and voice mail evaluation and impacts. Communication research, 19(5), 539-573.
    Turk, Victoria. (2016). Home invasion. In: Elsevier.
    Udo, Godwin J. (2001). Privacy and security concerns as major barriers for e‐commerce: a survey study. Information Management & Computer Security.
    Van der Heijden, Hans. (2003). Factors influencing the usage of websites: the case of a generic portal in The Netherlands. Information & management, 40(6), 541-549.
    Venkatesh, Visawanath, & Speier, Cheri. (2000). Creating an effective training environment for enhancing telework. International journal of human-computer studies, 52(6), 991-1005.
    Venkatesh, Viswanath, & Bala, Hillol. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision sciences, 39(2), 273-315.
    Wang, Weiquan, Qiu, Lingyun, Kim, Dongmin, & Benbasat, Izak. (2016). Effects of rational and social appeals of online recommendation agents on cognition-and affect-based trust. Decision Support Systems, 86, 48-60.
    Wilson, E Vance, & Lankton, Nancy K. (2004). Modeling patients' acceptance of provider-delivered e-health. Journal of the American Medical Informatics Association, 11(4), 241-248.
    Wixom, Barbara H, & Todd, Peter A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information systems research, 16(1), 85-102.
    Yang, Heetae, Yu, Jieun, Zo, Hangjung, & Choi, Munkee. (2016). User acceptance of wearable devices: An extended perspective of perceived value. Telematics and Informatics, 33(2), 256-269.
    Yeh, Yi-Hsin, & Choi, Sejung Marina. (2011). MINI-lovers, maxi-mouths: An investigation of antecedents to eWOM intention among brand community members. Journal of Marketing Communications, 17(3), 145-162.
    Zeithaml, Valarie A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. Journal of marketing, 52(3), 2-22.
    Zhou, Tao. (2013). The effect of flow experience on user adoption of mobile TV. Behaviour & Information Technology, 32(3), 263-272.
    Zhou, Tao, & Lu, Yaobin. (2011). The effect of interactivity on the flow experience of mobile commerce user. International Journal of Mobile Communications, 9(3), 225-242.
    朱碧靜(2012)。科技接受模型。
    林祐祺(2019)。【Smart Home Review#8】智慧音箱有哪些有趣的應用服務?。
    陳中安(2019)。智慧音箱所衍生的資安危機。
    溫福星(2013)。社會科學研究中使用迴歸分析的五個重要觀念。管理學報,30(2),169-190。
    資策會MIC(2019)。【智慧音箱消費者調查】「育學族」是臺灣智慧音箱黃金客群 本土品牌利基-多元資費、應用情境。

    無法下載圖示 全文公開日期 2025/08/25 (校內網路)
    全文公開日期 本全文未授權公開 (校外網路)
    全文公開日期 本全文未授權公開 (國家圖書館:臺灣博碩士論文系統)
    QR CODE