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博碩士論文 etd-0623119-191002 詳細資訊
Title page for etd-0623119-191002
論文名稱
Title
利用雙重因素模式探討影響使用者持續使用語音助理之意圖
Developing a Dual Factor Model to Investigate Virtual Personal Assistant User's Continue to Use Intention
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
69
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2019-07-10
繳交日期
Date of Submission
2019-07-23
關鍵字
Keywords
語音助理、慣性、相對優勢、期望不確認理論、現狀偏誤理論
Voice assistant, Expectation disconfirmation theory, Relative advantage, Inertia, Status quo bias
統計
Statistics
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中文摘要
自2015年開始,語音助理隨著機器學習的成熟不斷地成長,未來發展潛力與蘊藏的價值不可限量。語音助理又稱虛擬個人助理 (Virtual Personal Assistant, VPA),為一搭載自然語言處理的人工智慧軟體。使用者可以透過語音或是文字作為輸入介面,並藉由聯網的智慧裝置,例如:行動裝置、智慧音箱搭配進行一連串的服務。根據國外市場調查報告指出,目前語音助理使用率低落,在消費市場中並未普遍被大眾所接受,且學術研究大多聚焦於技術層面的探討,而本研究為想瞭解使用者是否願意持續使用語音助理的原因為何。我們將從認知層次與心理層次著手進行瞭解,並建構出雙重因素的研究模式以瞭解語音助理使用者之實際使用意圖,而雙重因素包括致力路徑與約束路徑。本研究證實部分採問卷調查法,透過分析224份有效問卷得知智慧確認程度對於滿意度之影響比效能、整合與客製化確認程度還要來得大。本研究主要為提供相關業者一份參考的依據,使其能針對使用者需求進行功能開發,亦提供語音助理目前功能的改善方向,最終期望提高使用者持續使用語音助理產品的意願。
Abstract
Voice Assistant is also known as Virtual Personal Assistant (VPA), an artificial intelligence software equipped with natural language processing. Users can use voice or text as an input interface and perform a series of services through the smart devices such as mobile devices and smart speakers. According to foreign market research report, voice assistant’s usage rate is low and not widely accepted by the public in consumer market, and most academic researches focus on the technical aspect. However, this study wants to understand the factors of whether users are willing to continue to use voice assistant or not. We will construct a research model of dual factors, including dedication path and constraint path to understand the actual intention of voice assistant users. In this study, 224 valid questionnaires were analyzed, and it was found that the influence of intelligence confirmation on satisfaction was greater than performance, integration and customization confirmation. This study is mainly to provide a reference basis for relevant industry, so that it can develop functions according to users’ needs, and to provide the direction for improving the current functions of voice assistants, and finally to improve users’ continuance using voice assistant’s intention.
目次 Table of Contents
Chapter 1 Introduction 1
1.1 Research background 1
1.2 Research Motivation and Research Purposes 2
Chapter 2 Literature Review 5
2.1 Expectation disconfirmation theory (EDT) 5
2.1.1 Expectation disconfirmation theory (EDT) 5
2.1.2 EDT in IS area-Expectation-confirmation theory (ECT) 7
2.2 Status Quo Bias Theory (SQB) 10
Chapter 3 Research Model and Hypotheses 13
3.1 Hypothesis Development 13
3.1.2 Satisfaction, Inertia and Continuance Intention 16
3.1.3 Incumbent System Habit, Social Norms and Inertia 18
3.1.4 Inertia and Continuance Intention 19
3.1.5 Relative advantages, Satisfaction and Continuance intention 20
3.2 Research model 23
3.3 Operational Definition 23
3.4 Research Design 25
3.4.1 Participants 25
3.4.2 Questionnaire Design 25
3.4.3 Data Collection 26
Chapter 4 Data Analysis 27
4.1 Demographic Statistics 27
4.2 Measurement validation 30
4.2.1 Common Method Bias 30
4.2.2 Reliability and Validity 32
4.3 Hypothesis Testing 40
4.4 Discussions 43
Chapter 5 Conclusion and Implication 46
5.1 Academic Implication 46
5.2 Practical Implication 47
5.3 Limitation 48
Chapter 6 Reference 50
Appendix A-Questionnaire 55
參考文獻 References
林信亨. (2019). 從CES 2019看智慧科技發展前景. Retrieved from https://mic.iii.org.tw/Industryobservation_MIC02views.aspx?sqno=332
高敬原. (2018). 智慧音箱掀語音購物熱,卻有9成的人不用第二次. Retrieved from https://www.bnext.com.tw/article/50147/surprise-no-one-buys-things-via-alexa
陳右怡. (2019). 迎接人機介面新商機,掌握全球AI語音助理下一步. Retrieved from https://www.2cm.com.tw/2cm/zh-tw/tech/B73A5BE5A4954D5988102C7D8A5B8A68?type=26
Agag, G., & El-Masry, A. A. (2016). Understanding consumer intention to participate in online travel community and effects on consumer intention to purchase travel online and WOM: An integration of innovation diffusion theory and TAM with trust. Computers in Human Behavior, 60, 97-111.
Amoroso, D. L., Ackaradejruangsri, P., & Lim, R. A. (2018). The Impact of Inertia as Mediator and Antecedent on Consumer Loyalty and Continuance Intention. In Mobile Commerce: Concepts, Methodologies, Tools, and Applications (pp. 960-981): IGI Global.
Anderson, E. W., & Sullivan, M. W. (1993). The antecedents and consequences of customer satisfaction for firms. Marketing science, 12(2), 125-143.
Avolio, B. J., Yammarino, F. J., & Bass, B. M. (1991). Identifying common methods variance with data collected from a single source: An unresolved sticky issue. Journal of Management Information Systems, 17(3), 571-587.
Ayatollahi, H., Langarizadeh, M., & Chenani, H. (2016). Confirmation of expectations and satisfaction with hospital information systems: A nursing perspective. Healthcare informatics research, 22(4), 326-332.
Bem, D. J. (1972). Self-perception theory. In Advances in experimental social psychology (Vol. 6, pp. 1-62): Elsevier.
Bhattacherjee, A. (2001). Understanding information systems continuance: an expectation-confirmation model. MIS Quarterly, 351-370.
Bhattacherjee, A., Limayem, M., & Cheung, C. M. K. (2012). User switching of information technology: A theoretical synthesis and empirical test. Information & Management, 49(7), 327-333. doi:https://doi.org/10.1016/j.im.2012.06.002
Brown, I., Cajee, Z., Davies, D., & Stroebel, S. (2003). Cell phone banking: predictors of adoption in South Africa—an exploratory study. International journal of information management, 23(5), 381-394.
Cerezo, J., Kubelka, J., Robbes, R., & Bergel, A. (2019). Building an expert recommender chatbot. Paper presented at the Proceedings of the 1st International Workshop on Bots in Software Engineering.
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern methods for business research, 295(2), 295-336.
Chiu, C.-M., Hsu, M.-H., Sun, S.-Y., Lin, T.-C., & Sun, P.-C. (2005). Usability, quality, value and e-learning continuance decisions. Computers Education, 45(4), 399-416.
Choudhury, V., & Karahanna, E. (2008). The relative advantage of electronic channels: a multidimensional view. MIS Quarterly, 179-200.
Churchill Jr, G. A., & Surprenant, C. (1982). An investigation into the determinants of customer satisfaction. Journal of marketing research, 491-504.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319-340.
DeSanctis, G., & Courtney, J. F. (1983). Toward friendly user MIS implementation. Communications of the ACM, 26(10), 732-738.
ENGE, E. (2018). Mobile Voice Usage Trends 2018.
Farrell, J., & Shapiro, C. (1988). Dynamic competition with switching costs. The RAND Journal of Economics, 123-137.
Fazio, R. H., & Zanna, M. P. (1981). Direct Experience and Attitude-Behavior Consistency1. In Advances in experimental social psychology (Vol. 14, pp. 161-202): Elsevier.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. In: SAGE Publications Sage CA: Los Angeles, CA.
Gartner. (2017). Gartner Says Worldwide Spending on VPA-Enabled Wireless Speakers Will Top $3.5 Billion by 2021.
Han, S., & Yang, H. (2018). Understanding adoption of intelligent personal assistants: A parasocial relationship perspective. Industrial Management
Data Systems, 118(3), 618-636.
Hong, S., Thong, J. Y., & Tam, K. Y. (2006). Understanding continued information technology usage behavior: A comparison of three models in the context of mobile internet. Decision support systems, 42(3), 1819-1834.
Islam, A. N., Mäntymäki, M., & Bhattacherjee, A. (2017). Towards a Decomposed Expectation Confirmation Model of IT Continuance: The Role of Usability. CAIS, 40, 23.
Jiang, J. J., Muhanna, W. A., & Klein, G. (2000). User resistance and strategies for promoting acceptance across system types. Information
Management, 37(1), 25-36.
Joshi, K. (1991). A model of users' perspective on change: the case of information systems technology implementation. MIS Quarterly, 229-242.
Kaewkitipong, L., Chen, C. C., & Ractham, P. (2016). Using social media to enrich information systems field trip experiences: Students’ satisfaction and continuance intentions. Computers in Human Behavior, 63, 256-263.
Kahandawa, K., & Wijayanayake, J. (2014). Impact of mobile banking services on customer satisfaction: A study on Sri Lankan state commercial bank. International Journal of Computer Information Technology, 3(3), 2279-0764.
Kahneman, D., & Tversky, A. (1979). Prospect Theory: An Analysis of Decision under Risk. Econometrica, 47(2), 263-291. doi:10.2307/1914185
Kang, Y. S., & Lee, H. (2010). Understanding the role of an IT artifact in online service continuance: An extended perspective of user satisfaction. Computers in Human Behavior, 26(3), 353-364.
Kim, H.-W., & Kankanhalli, A. (2009). Investigating user resistance to information systems implementation: A status quo bias perspective. MIS Quarterly, 567-582.
Klein, J. G., Smith, N. C., & John, A. (2004). Why we boycott: Consumer motivations for boycott participation. Journal of marketing research, 68(3), 92-109.
Lapointe, L., & Rivard, S. (2007). A triple take on information system implementation. Organization Science, 18(1), 89-107.
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.
Locke, E. A. (1976). The nature and causes of job satisfaction. Handbook of industrial
organizational psychology.
Montfort, K. V., Masurel, E., & Rijn, I. V. (2000). Service Satisfaction: An Empirical Analysis of Consumer Satisfaction in Financial Services. The Service Industries Journal, 20(3), 80-94. doi:10.1080/02642060000000033
Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information systems research, 2(3), 192-222.
Murray, K. B., & Häubl, G. (2007). Explaining cognitive lock-in: The role of skill-based habits of use in consumer choice. Journal of consumer research, 34(1), 77-88.
Oghuma, A. P., Libaque-Saenz, C. F., Wong, S. F., & Chang, Y. (2016). An expectation-confirmation model of continuance intention to use mobile instant messaging. Telematics Informatics, 33(1), 34-47.
Oliver, R. L. (1977). Effect of expectation and disconfirmation on postexposure product evaluations: An alternative interpretation. Journal of applied psychology, 62(4), 480.
Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of marketing research, 460-469.
Oliver, R. L. (1993). Cognitive, affective, and attribute bases of the satisfaction response. Journal of consumer research, 20(3), 418-430.
Oliver, R. L., & DeSarbo, W. S. (1988). Response determinants in satisfaction judgments. Journal of consumer research, 14(4), 495-507.
Ouyang, Y., Tang, C., Rong, W., Zhang, L., Yin, C., & Xiong, Z. (2017). Task-technology fit aware expectation-confirmation model towards understanding of MOOCs continued usage intention.
Patterson, P. G., & Spreng, R. A. (1997). Modelling the relationship between perceived value, satisfaction and repurchase intentions in a business-to-business, services context: an empirical examination. International Journal of service Industry management, 8(5), 414-434.
Petrick, J. F., Morais, D. D., & Norman, W. C. (2001). An examination of the determinants of entertainment vacationers’ intentions to revisit. Journal of Travel Research, 40(1), 41-48.
Petter, S., Straub, D. W., & Rai, A. (2007). Specifying formative constructs in information systems research. MIS Quarterly.
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of applied psychology, 88(5), 879.
Polites, G. L., & Karahanna, E. (2012). Shackled to the status quo: the inhibiting effects of incumbent system habit, switching costs, and inertia on new system acceptance. MIS Quarterly, 21-42.
Polites, G. L., & Karahanna, E. (2013). The embeddedness of information systems habits in organizational and individual level routines: development and disruption. MIS Quarterly, 221-246.
Premkumar, G., Ramamurthy, K., & Nilakanta, S. (1994). Implementation of electronic data interchange: an innovation diffusion perspective. Journal of Management Information Systems, 11(2), 157-186.
Research, T. M. (2018). Global Intelligent Virtual Assistant Market to Reach a Value of US$7.9 bn by 2024.
Rijsdijk, S. A., Hultink, E. J., & Diamantopoulos, A. (2007). Product intelligence: its conceptualization, measurement and impact on consumer satisfaction. Journal of the Academy of Marketing Science, 35(3), 340-356.
Rogers, E. M. (2010). Diffusion of innovations: Simon and Schuster.
Saad, U., Afzal, U., El-Issawi, A., & Eid, M. (2017). A model to measure QoE for virtual personal assistant. Multimedia Tools
Applications, 76(10), 12517-12537.
Samuelson, W., & Zeckhauser, R. (1988). Status quo bias in decision making. Journal of risk uncertainty, 1(1), 7-59.
Schroeder, R. (2002). Social interaction in virtual environments: Key issues, common themes, and a framework for research. In The social life of avatars (pp. 1-18): Springer.
Serban, I. V., Sankar, C., Germain, M., Zhang, S., Lin, Z., Subramanian, S., . . . Ke, N. R. (2017). A deep reinforcement learning chatbot. arXiv preprint arXiv:.02349.
Susanto, A., Chang, Y., & Ha, Y. (2016). Determinants of continuance intention to use the smartphone banking services: an extension to the expectation-confirmation model. Industrial Management
Data Systems, 116(3), 508-525.
Teo, T. S., & Pok, S. H. (2003). Adoption of WAP-enabled mobile phones among Internet users. Omega, 31(6), 483-498.
Tse, D. K., & Wilton, P. C. (1988). Models of consumer satisfaction formation: An extension. Journal of marketing research, 204-212.
Van Slyke, C., Lou, H., & Day, J. (2002). The impact of perceived innovation characteristics on intention to use groupware. Information Resources Management Journal, 15(1), 1-12.
Vedadi, A., & Warkentin, M. (2016). Continuance Intention on Using Mobile Banking Applications: A Replication Study of Information Systems Continuance Model. AIS Transactions on Replication Research, 2(1), 7.
Yan, M., Castro, P., Cheng, P., & Ishakian, V. (2016). Building a chatbot with serverless computing. Paper presented at the Proceedings of the 1st International Workshop on Mashups of Things and APIs.
Yoon, S.-J., & Kim, J.-H. (2000). An empirical validation of a loyalty model based on expectation disconfirmation. Journal of consumer marketing, 17(2), 120-136.
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