臺灣博碩士論文加值系統

隨著科技進步，虛擬實境(Virtual reality, VR)與人工智慧(Artificial Intelligence, AI)助理的創新應用，正逐漸成為推動電子商務發展的重要趨勢。鑑於可能對零售商和消費者的潛在好處，有必要深入了解AI助理於VR商店購物體驗的內外在價值感知，及對使用意圖的影響。本研究以消費者創新動機(Motivation and Consumer Innovativeness, MCI)為基礎構建研究架構，本研究進行實驗設計研究，招募213位受測者，本研究透過SmartPLS 4.0和SPSS的統計軟體進行分析，我們了解消費者對新科技的感知價值，並為VR技術和AI助理輔助購物在電子商務中的應用提供實證支持和建議。研究表示消費者創新動機是推動其接受和使用AI助理的重要因素，說明消費者如何透過功能性、享樂性、社交性和認知性動機影響對VR商店中AI助理的使用，進而增進其感知價值，及最終影響消費者對有AI助理的VR商店使用意圖，以及感知擬人化和智慧性特質如何正向調節這些價值感知與使用意圖之間的關係。因此，本研究不僅提供了有關虛擬實境商店應用AI助理對消費者行為影響的深入分析，也為零售業提供了建議，有助於零售商更有效地利用新興虛擬實境與AI技術，推動業界的創新與發展。

With the advancement of technology, the innovative applications of Virtual Reality (VR) and Artificial Intelligence (AI) assistants are gradually becoming important trends driving the development of e-commerce. Given the potential benefits for retailers and consumers, it is necessary to gain a deeper understanding of the perceived values of AI assistants in VR shopping experiences and their impact on usage intentions. This study develops a research framework based on Motivation and Consumer Innovativeness (MCI) concepts. An experimental design study was conducted, recruiting 213 participants. The analysis was performed using the statistical software SmartPLS 4.0 and SPSS. We explored consumers' perceived value of new technologies and provided empirical results and recommendations for the application of VR technology with AI-assisted shopping in e-commerce. The study indicates that consumer innovation motivation is a key factor driving the acceptance and use of AI assistants. It explains how consumers' functional, hedonic, social, and cognitive motivations influence the use of AI assistants in VR stores, thereby enhancing their perceived value and ultimately affecting their usage intentions for VR stores with AI assistants. Additionally, it examines how perceived anthropomorphism and intelligence traits positively moderate the relationship between value perceptions and usage intentions. Therefore, this research not only provides an in-depth analysis of the impact of AI assistants on consumer behavior in VR stores but also offers recommendations for the retail industry. It helps retailers more effectively leverage emerging VR and AI technologies to drive innovation and development in the industry.

目次
第一章 緒論........................................................... 1
第一節 研究背景....................................................... 1
第二節 研究動機....................................................... 3
第三節 研究目的....................................................... 5
第四節 研究流程....................................................... 6
第二章 文獻探討 ...................................................... 7
第一節 虛擬實境購物(Virtual reality shopping) ........................ 7
第二節 人工智慧助理(Artificial Intelligence assistant) ............... 9
第三節 消費者創新動機(Motivation and Consumer Innovativeness) ........ 11
第四節 感知有用性(Perceived Utilitarian Value)與感知娛樂性(Perceived Hedonic Value)...... 14
第五節 智慧性(Intelligence) ......................................... 15
第六節 感知擬人化(Perceived anthropomorphism) ....................... 16
第七節 使用意圖(Intentions to use) .................................. 17
第三章 研究方法 ..................................................... 18
第一節 研究架構...................................................... 18
第二節 研究假說...................................................... 19
一、MCI 對VR虛擬商店中使用AI助理輔助之感知有用性的影響 ................. 19
二、MCI 對VR虛擬商店中使用AI助理輔助之感知娛樂性的影響 .. ...............21
三、感知有用性對使用意圖的影響 ........................................ 22
四、感知娛樂性對使用意圖的影響 ........................................ 22
五、智慧性的調節效果 ................................................. 23
六、感知擬人化的調節效果 ............................................. 24
第三節 操作型定義.................................................... 25
第四節 研究設計...................................................... 25
一、虛擬商店環境設計 ................................................. 25
二、AI助理設計 ....................................................... 28
三、研究對象 ......................................................... 29
四、實驗流程 ......................................................... 30
五、問卷設計 ......................................................... 33
六、資料蒐集 ......................................................... 36
第四章 研究結果 ...................................................... 37
第一節 樣本敘述性統計分析.............................................. 37
第二節 測量模型分析................................................... 38
一、 信度分析 ....................................................... 39
二、 效度分析 ....................................................... 39
第三節 結構方程模型分析............................................... 46
一、 共線性診斷 ..................................................... 46
二、 共同方法偏誤 ................................................... 47
三、 路徑分析與假說檢驗 ............................................. 50
四、 模型解釋能力評鑑 ............................................... 55
第五章 結論與建議 .................................................. 58
第一節 研究結論..................................................... 58
第二節 學.......................................................... 61
第三節 實務貢獻..................................................... 62
第四節 研究限制與未來建議............................................ 63
參考文獻........................................................... 65

表次
表2-1 AI助理輔助應用 ................................................ 11
表3-1 各項構念定義 .................................................. 25
表3-2 實驗AI助理特質 ................................................ 29
表3-3 實驗流程表 .................................................... 32
表3-4 AI助理與受測者之間的實際對話內容 ................................ 33
表3-5 各項構念衡量問項與來源 ......................................... 34
表4-1 本研究正式實驗樣本之人口統計 ................................... 38
表4-2 問項敘述性統計之信效度分析表 ................................... 40
表4-3 交叉因素負荷量表 .............................................. 43
表4-4 Fornell-Larker標準 ........................................... 45
表4-5 Heterotrait-Monotrait Ratio Criterion(HTMT)標準 .............. 45
表4-6 共線性診斷結果 ................................................ 47
表4-7 Harman單因子檢定表 ............................................ 48
表4-8 路徑分析表 .................................................... 52
表4-9 模型解釋力表 .................................................. 57

圖次
圖1-1 研究流程圖 ..................................................... 7
圖3-1 研究架構圖 .................................................... 19
圖3-2 VR商店走道圖 ................................................... 27
圖3-3 VR商店環境圖 ................................................... 27
圖3-4 AI助理艾蜜莉 ................................................... 28
圖3-5受測者實際體驗圖 ................................................ 31
圖3-6受測者實際體驗圖 ................................................ 31
圖4-1研究架構路徑分析 ................................................ 51
圖4-2 擬人化調節斜率分析 ............................................. 55

工商時報.(2022). 打造完美品牌體驗！當Nike想讓我們跑步的時候. from https://www.ctee.com.tw/news/20220813700271-431001 Retrieved 2024/2/5
曾馨旻、林鈺唐. (2023). 台灣人AI使用率逾4成 2023網路報告出爐. 新唐人亞太台. from https://www.ntdtv.com.tw/b5/20230829/video/372293.html?%E5%8F%B0%E7%81%A3%E4%BA%BAAI%E4%BD%BF%E7%94%A8%E7%8E%87%E9%80%BE4%E6%88%90%202023%E7%B6%B2%E8%B7%AF%E5%A0%B1%E5%91%8A%E5%87%BA%E7%88%90#:~:text=2023%E7%94%9F%E6%88%90%E5%BC%8FA,ChatGPT%E3%80%82 Retrieved 2024/2/5
Hsu, W. (2020). Nike成功贏得2020前半年最夯品牌頭銜！背後關鍵與IG前三高曝光率單品這就報你知. from https://www.marieclaire.com.tw/fashion/feature/51820 Retrieved 2024/2/5
SOCIALBETA. (2016). VR 這麼火！這10 個品牌的案例你看過了嗎？. from https://www.brandinlabs.com/2016/03/28/vr-%E9%80%99%E9%BA%BC%E7%81%AB%EF%BC%81%E9%80%9910-%E5%80%8B%E5%93%81%E7%89%8C%E7%9A%84%E6%A1%88%E4%BE%8B%E4%BD%A0%E7%9C%8B%E9%81%8E%E4%BA%86%E5%97%8E%EF%BC%9F/ Retrieved 2024/2/3
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A
review and recommended two-step approach. Psychological bulletin, 103(3), 411-423.
Abehsera, M. (2023). 3 Ways Virtual Reality Will Transform eCommerce. Toptal. from https://www.toptal.com/insights/innovation/3-ways-virtual-reality-transforms-ecommerce Retrieved 2024/2/5
Aggarwal, P., & McGill, A. L. (2012). When Brands Seem Human, Do Humans Act Like Brands? Automatic Behavioral Priming Effects of Brand Anthropomorphism. Journal of Consumer Research, 39(2), 307-323.
Alcañiz, M., Bigné, E., & Guixeres, J. (2019). Virtual reality in marketing: a framework, review, and research agenda. Frontiers in Psychology, 10, 1530.
Alzayat, A., & Lee, S. H. (2021). Virtual products as an extension of my body: Exploring hedonic and utilitarian shopping value in a virtual reality retail environment. Journal of Business Research, 130, 348-363.
Andries, P., Czarnitzki, D., & Hottenrott, H. (2009). Innovation efforts of the flemish companies: essential results of the CIS-2007 survey. Flemish Indicators Book, 117-128.
Aw, E. C.-X., Tan, G. W.-H., Cham, T.-H., Raman, R., & Ooi, K.-B. (2022). Alexa, what's on my shopping list? Transforming customer experience with digital voice assistants. Technological Forecasting and Social Change, 180, 121711.
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.
Bagozzi, R. P., Fornell, C., & Larcker, D. F. (1981). Canonical Correlation Analysis As A Special Case Of A Structural Relations Model. Multivariate Behavioral Research, 16(4), 437-454.
Balakrishnan, J., Abed, S. S., & Jones, P. (2022). The role of meta-UTAUT factors, perceived anthropomorphism, perceived intelligence, and social self-efficacy in chatbot-based services? Technological Forecasting and Social Change, 180, 121692.
Balakrishnan, J., & Dwivedi, Y. K. (2024). Conversational commerce: entering the next stage of AI-powered digital assistants. Annals of Operations Research, 333, 653-687.
Bartels, J., & Reinders, M. J. (2011). Consumer innovativeness and its correlates: A propositional inventory for future research. Journal of Business Research, 64(6), 601-609.
Bartneck, C., Kulić, D., Croft, E., & Zoghbi, S. (2009). Measurement Instruments for the Anthropomorphism, Animacy, Likeability, Perceived Intelligence, and Perceived Safety of Robots. International Journal of Social Robotics, 1(1), 71-81.
Baylor, A. L. (2009). Promoting motivation with virtual agents and avatars: role of visual presence and appearance. Philosophical Transactions of the Royal Society B: Biological Sciences, 364(1535), 3559-3565.
Beck, M., & Crié, D. (2018). I virtually try it … I want it ! Virtual Fitting Room: A tool to increase on-line and off-line exploratory behavior, patronage and purchase intentions. Journal of Retailing and Consumer Services, 40, 279-286.
Bhatti, A., Akram, H., Basit, H. M., Khan, A. U., Raza, S. M., & Naqvi, M. B. (2020). E-commerce trends during COVID-19 Pandemic. International Journal of Future Generation Communication and Networking, 13(2), 1449-1452.
Blut, M., Wang, C., Wünderlich, N. V., & Brock, C. (2021). Understanding anthropomorphism in service provision: a meta-analysis of physical robots, chatbots, and other AI. Journal of the Academy of Marketing Science, 49(4), 632-658.
Bogicevic, V., Seo, S., Kandampully, J. A., Liu, S. Q., & Rudd, N. A. (2019). Virtual reality presence as a preamble of tourism experience: The role of mental imagery. Tourism Management, 74, 55-64.
Bohil, C. J., Alicea, B., & Biocca, F. A. (2011). Virtual reality in neuroscience research and therapy. Nature Reviews Neuroscience, 12(12), 752-762.
Brandtzaeg, P. B., & Følstad, A. (2017). Why People Use Chatbots. Internet Science, The 4th International Conference on Internet Science.
Brey, P. (2008). Virtual reality and computer simulation. The handbook of Information, 361-384.
Chin, W. W. (1998). The partial least squares approach for structural equation modeling. In Modern methods for business research, 295(2),295-336.
Chao, C.-W., Reid, M., & Mavondo, F. T. (2012). Consumer Innovativeness Influence on Really New Product Adoption. Australasian Marketing Journal, 20(3), 211-217.
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd Edition). Hillsdale, NJ: Lawrence Erlbaum Associates, Publishers.
Cheng, X., Zhang, X., Cohen, J., & Mou, J. (2022). Human vs. AI: Understanding the impact of anthropomorphism on consumer response to chatbots from the perspective of trust and relationship norms. Information Processing & Management, 59(3), 102940.
Chiou, W.-B., Wan, C.-S., & Lee, H.-Y. (2008). Virtual experience vs. brochures in the advertisement of scenic spots: How cognitive preferences and order effects influence advertising effects on consumers. Tourism Management, 29(1), 146-150.
Chiu, C.-M., Wang, E. T. G., Fang, Y.-H., & Huang, H.-Y. (2014). Understanding customers' repeat purchase intentions in B2C e-commerce: the roles of utilitarian value, hedonic value and perceived risk. Information Systems Journal, 24(1), 85-114.
Cho, Y.-H., Wang, Y., & Fesenmaier, D. R. (2002). Searching for experiences: the web-based virtual tour in tourism marketing. Journal of Travel & Tourism Marketing, 12(4), 1-17.
Choi, Y. K., & Taylor, C. R. (2014). How do 3-dimensional images promote products on the Internet? Journal of Business Research, 67(10), 2164-2170.
Chung, M., Ko, E., Joung, H., & Kim, S. J. (2020). Chatbot e-service and customer satisfaction regarding luxury brands. Journal of Business Research, 117, 587-595.
Cierpicki, S., Wright, M., & Sharp, B. (2000). Managers’ knowledge of marketing principles: The case of new product development. Journal of Empirical Generalisations in Marketing Science, 5(6), 771-790.
Diamantopoulos, A., & Siguaw, J. A. (2006). Formative versus reflective indicators in
organizational measure development: A comparison and empirical illustration. British Journal of Management, 17(4), 263–282.
Daugherty, T., Li, H., & Biocca, F. (2008). Consumer learning and the effects of virtual experience relative to indirect and direct product experience. Psychology & Marketing, 25(7), 568-586.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3)319-340.
Deng, L., Turner, D. E., Gehling, R., & Prince, B. (2010). User experience, satisfaction, and continual usage intention of IT. European Journal of Information Systems, 19(1), 60-75.
Dhar, R., & Wertenbroch, K. (2000). Consumer Choice between Hedonic and Utilitarian Goods. Journal of marketing research, 37(1), 60-71.
Dimoka, A., Hong, Y., & Pavlou, P. A. (2012). On Product Uncertainty in Online Markets: Theory and Evidence. MIS Quarterly, 36(2), 395-426.
Dong, X. (2016). An overall solution of Virtual Reality classroom. 2016 IEEE International Conference on Service Operations and Logistics(SOLI), 119-123
Elmezeny, A., Edenhofer, N., & Wimmer, J. (2018). Immersive storytelling in 360-degree videos: An analysis of interplay between narrative and technical immersion. Journal For Virtual Worlds Research, 11(1).
Ernst, C.-P. H., Pfeiffer, J., & Rothlauf, F. (2013). Hedonic and utilitarian motivations of social network site adoption. Johannes Gutenberg University Mainz: Working Papers in Information Systems and Business Administration, 1-14.
Fan, A., Wu, L., & Mattila, A. S. (2016). Does anthropomorphism influence customers’ switching intentions in the self-service technology failure context? Journal of Services Marketing, 30(7), 713-723.
Fernandes, T., & Oliveira, E. (2021). Understanding consumers’ acceptance of automated technologies in service encounters: Drivers of digital voice assistants adoption. Journal of Business Research, 122, 180-191.
Fethi, M. D., & Pasiouras, F. (2010). Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey. European Journal of Operational Research, 204(2), 189-198.
Ford, M. E., & Nichols, C. W. (1987). A taxonomy of human goals and some possible applications’. Humans as Self-Constructing Living Systems: Putting the Framework to Work (Erlbaum, Hillsdale, NJ), 289-311.
Foxall, G. R., & Goldsmith, R. E. (1997). Consumer Psychology for Marketing. Intern. Thomson Business Press.
Fornell, C., & Larcker, D. F. (1981). Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. Journal of Marketing Research, 18(3), 382-388.
Guha, A., Bressgott, T., Grewal, D., Mahr, D., Wetzels, M., & Schweiger, E. (2023).
How artificiality and intelligence affect voice assistant evaluations. Journal of the Academy of Marketing Science, 51(4), 843-866.
Goel, P., Kaushik, N., Sivathanu, B., Pillai, R., & Vikas, J. (2022). Consumers’ adoption of artificial intelligence and robotics in hospitality and tourism sector: literature review and future research agenda. Tourism Review, 77(4), 1081-1096.
Guttentag, D., Smith, S., Potwarka, L., & Havitz, M. (2018). Why Tourists Choose Airbnb: A Motivation-Based Segmentation Study. Journal of Travel Research, 57(3), 342-359.
Han, H., Lee, M. J., & Kim, W. (2018). Role of shopping quality, hedonic/utilitarian shopping experiences, trust, satisfaction and perceived barriers in triggering customer post-purchase intentions at airports. International Journal of Contemporary Hospitality Management, 30(10), 3059-3082.
Han, S.-L., An, M., Han, J. J., & Lee, J. (2020). Telepresence, time distortion, and consumer traits of virtual reality shopping. Journal of Business Research, 118, 311-320.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice, 19(2), 139-152.
Hartman, J. B., & Samra, Y. M. (2008). Impact of Personal Values and Innovativeness on Hedonic and Utilitarian Aspects of Web Use: An Empirical Study among United States Teenagers. International Journal of Management, 25(1), 77-94,198.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135.
Heidenreich, S., & Kraemer, T. (2016). Innovations—Doomed to Fail? Investigating Strategies to Overcome Passive Innovation Resistance. Journal of Product Innovation Management, 33(3), 277-297.
Hirschman, E. C. (1984). Experience seeking: A subjectivist perspective of consumption. Journal of Business Research, 12(1), 115-136.
Holbrook, M. B., & Hirschman, E. C. (1982). The Experiential Aspects of Consumption: Consumer Fantasies, Feelings, and Fun. Journal of Consumer Research, 9(2), 132-140.
Hong, J.-C., Lin, P.-H., & Hsieh, P.-C. (2017). The effect of consumer innovativeness on perceived value and continuance intention to use smartwatch. Computers in Human Behavior, 67, 264-272.
Hu, Q., Lu, Y., Pan, Z., Gong, Y., & Yang, Z. (2021). Can AI artifacts influence human cognition? The effects of artificial autonomy in intelligent personal assistants. International Journal of Information Management, 56, 102250.
Hurt, H. T., Joseph, K., & Cook, C. D. (1977). Scales for the measurement of innovativeness. Human Communication Research, 4(1), 58-65.
Hwang, J., Choe, J. Y., Choi, Y. G., & Kim, J. J. (2021). A comparative study on the motivated consumer innovativeness of drone food delivery services before and after the outbreak of COVID-19. Journal of Travel & Tourism Marketing, 38(4), 368-382.
Hwang, J., Kim, H., & Kim, W. (2019). Investigating motivated consumer innovativeness in the context of drone food delivery services. Journal of Hospitality and Tourism Management, 38, 102-110.
Igbaria, M., Parasuraman, S., & Baroudi, J. J. (1996). A Motivational Model of Microcomputer Usage. Journal of Management Information Systems, 13(1), 127-143.
Im, S., Bayus, B. L., & Mason, C. H. (2003). An Empirical Study of Innate Consumer Innovativeness, Personal Characteristics, and New-Product Adoption Behavior. Journal of the Academy of Marketing Science, 31(1), 61-73.
Im, S., Mason, C. H., & Houston, M. B. (2007). Does innate consumer innovativeness relate to new product/service adoption behavior? The intervening role of social learning via vicarious innovativeness. Journal of the Academy of Marketing Science, 35(1), 63-75.
Jang, J. Y., Hur, H. J., & Choo, H. J. (2019). How to evoke consumer approach intention toward VR stores? Sequential mediation through telepresence and experiential value. Fashion and Textiles, 6(1), 1-16.
Jang, Y., & Park, E. (2019). An adoption model for virtual reality games: The roles of presence and enjoyment. Telematics and Informatics, 42, 101239.
Jasperson, J., Carter, P. E., & Zmud, R. W. (2005). A Comprehensive Conceptualization of Post-Adoptive Behaviors Associated with Information Technology Enabled Work Systems. MIS Quarterly, 29(3), 525-557.
Jin, B., Kim, G., Moore, M., & Rothenberg, L. (2021). Consumer store experience through virtual reality: its effect on emotional states and perceived store attractiveness. Fashion and Textiles, 8(1), 19.
Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration (ijec), 11(4), 1-10.
Kautish, P., Guru, S., & Sinha, A. (2022). Values, satisfaction and intentions: online innovation perspective for fashion apparels. International Journal of Innovation Science, 14(3/4), 608-629.
Kautish, P., & Khare, A. (2022). Investigating the moderating role of AI-enabled services on flow and awe experience. International Journal of Information Management, 66, 102519.
Kautish, P., & Rai, S. K. (2019). Fashion portals and Indian consumers: an exploratory study on online apparel retail marketing. International Journal of Electronic Marketing and Retailing, 10(3), 309-331.
Kim, H., Kim, S.-E., Park, K., & Tennessee, S. (2023). Exploring the role of flow experience and telepresence in virtual reality (VR) concerts. Journal of Travel & Tourism Marketing, 40(7), 568-582.
Kim, K., Boelling, L., Haesler, S., Bailenson, J., Bruder, G., & Welch, G. F. (2018). Does a Digital Assistant Need a Body? The Influence of Visual Embodiment and Social Behavior on the Perception of Intelligent Virtual Agents in AR. 2018 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 105-114.
Kim, M. J., & Hall, C. M. (2019). A hedonic motivation model in virtual reality tourism: Comparing visitors and non-visitors. International Journal of Information Management, 46, 236-249.
Kim, Y., Baylor, A. L., & Shen, E. (2007). Pedagogical agents as learning companions: the impact of agent emotion and gender. Journal of Computer Assisted Learning, 23(3), 220-234.
Komiak, S. Y., & Benbasat, I. (2008). A two-process view of trust and distrust building in recommendation agents: A process-tracing study. Journal of the Association for Information Systems, 9(12), 727-747.
Komiak, S. Y. X., & Benbasat, I. (2006). The Effects of Personalization and Familiarity on Trust and Adoption of Recommendation Agents. MIS Quarterly, 30(4), 941-960.
Kulviwat, S., Bruner Ii, G. C., Kumar, A., Nasco, S. A., & Clark, T. (2007). Toward a unified theory of consumer acceptance technology. Psychology & Marketing, 24(12), 1059-1084.
Lankton, N. K., McKnight, D. H., & Tripp, J. (2015). Technology, humanness, and trust: Rethinking trust in technology. Journal of the Association for Information Systems, 16(10), 880-918.
Latinovic, Z., & Chatterjee, S. C. (2019). Customer centricity in the digital age. MIT Sloan Management Review, 60(4), 0_1-0_2.
Lee, J.-C., & Chen, X. (2022). Exploring users' adoption intentions in the evolution of artificial intelligence mobile banking applications: the intelligent and anthropomorphic perspectives. International Journal of Bank Marketing, 40(4), 631-658.
Leung, X. Y., Lyu, J., & Bai, B. (2020). A fad or the future? Examining the effectiveness of virtual reality advertising in the hotel industry. International Journal of Hospitality Management, 88, 102391.
Li, G., Zhang, R., & Wang, C. (2015). The Role of Product Originality, Usefulness and Motivated Consumer Innovativeness in New Product Adoption Intentions. Journal of Product Innovation Management, 32(2), 214-223.
Li, H., Daugherty, T., & Biocca, F. (2002). Impact of 3-D Advertising on Product Knowledge, Brand Attitude, and Purchase Intention: The Mediating Role of Presence. Journal of Advertising, 31(3), 43-57.
Liu, Y.-T., Cheng, P.-Y., Shih, S.-P., & Huang, T.-Y. (2023). MetaClassroom: A WebXR-Based Hybrid Virtual Reality Classroom. 2023 IEEE International Conference on Advanced Learning Technologies (ICALT), 280-281.
Lookerz.me. (2023). Revolutionizing Shopping Experiences: The Power of Online Retail Personalization. Linked in. from https://www.linkedin.com/pulse/revolutionizing-shopping-experiences-power-online-retail-personalization-qox5f?trk=organization_guest_main-feed-card_feed-article-content Retrieved 2024/2/5
Lowe, B., & Alpert, F. (2015). Forecasting consumer perception of innovativeness. Technovation, 45-46, 1-14.
Lucia-Palacios, L., & Pérez-López, R. (2021). Effects of Home Voice Assistants' Autonomy on Instrusiveness and Usefulness: Direct, Indirect, and Moderating Effects of Interactivity. Journal of Interactive Marketing, 56, 41-54.
Luo, B., Lau, R. Y. K., & Li, C. (2023). Emotion-regulatory chatbots for enhancing consumer servicing: An interpersonal emotion management approach. Information & Management, 60(5), 103794.
Manning, K. C., Bearden, W. O., & Madden, T. J. (1995). Consumer Innovativeness and the Adoption Process. Journal of Consumer Psychology, 4(4), 329-345.
Martínez-Navarro, J., Bigné, E., Guixeres, J., Alcañiz, M., & Torrecilla, C. (2019). The influence of virtual reality in e-commerce. Journal of Business Research, 100, 475-482.
Mathieson, K. (1991). Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior. Information Systems Research, 2(3), 173-191.
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.
Midgley, D. F. (1977). Innovation and new product marketing. Croom Helm. https://cir.nii.ac.jp/crid/1130000794072927232
Midgley, D. F., & Dowling, G. R. (1978). Innovativeness: The Concept and Its Measurement. Journal of Consumer Research, 4(4), 229-242.
Midgley, D. F., & Dowling, G. R. (1993). A Longitudinal Study of Product Form Innovation: The Interaction between Predispositions and Social Messages. Journal of Consumer Research, 19(4), 611-625.
Moriuchi, E. (2019). Okay, Google!: An empirical study on voice assistants on consumer engagement and loyalty. Psychology & Marketing, 36(5), 489-501.
Morotti, E., Donatiello, L., & Marfia, G. (2020). Fostering fashion retail experiences through virtual reality and voice assistants. In 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 338-342.
Morotti, E., Stacchio, L., Donatiello, L., Roccetti, M., Tarabelli, J., & Marfia, G. (2022). Exploiting fashion x-commerce through the empowerment of voice in the fashion virtual reality arena: Integrating voice assistant and virtual reality technologies for fashion communication. Virtual Reality, 26 , 871-884.
Moussawi, S., & Koufaris, M. (2019). Perceived intelligence and perceived anthropomorphism of personal intelligent agents: Scale development and validation. Proceedings of the annual Hawaii international conference on system sciences.
Moussawi, S., Koufaris, M., & Benbunan-Fich, R. (2021). How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents. Electronic Markets, 31(2), 343-364.
Moussawi, S., Koufaris, M., & Benbunan-Fich, R. (2023). The role of user perceptions of intelligence, anthropomorphism, and self-extension on continuance of use of personal intelligent agents. European Journal of Information Systems, 32(3), 601-622.
Munnukka, J., Talvitie-Lamberg, K., & Maity, D. (2022). Anthropomorphism and social presence in Human–Virtual service assistant interactions: The role of dialog length and attitudes. Computers in Human Behavior, 135, 107343.
Nah, F. F.-H., Eschenbrenner, B., & DeWester, D. (2011). Enhancing Brand Equity Through Flow and Telepresence: A Comparison of 2D and 3D Virtual Worlds. MIS Quarterly, 35(3), 731-747.
Nass, C., & Gong, L. (1999). Maximized modality or constrained consistency? AVSP'99-International Conference on Auditory-Visual Speech Processing.
Nass, C., Steuer, J., & Tauber, E. R. (1994). Computers are social actors Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Boston, Massachusetts, USA. https://doi.org/10.1145/191666.191703
Nunnally, J. C. (1978). An Overview of Psychological Measurement. In B. B. Wolman (Ed.), Clinical Diagnosis of Mental Disorders: A Handbook. Springer US, 97-146.
Nishitani, K., & Itoh, M. (2016). Product innovation in response to environmental standards and competitive advantage: a hedonic analysis of refrigerators in the Japanese retail market. Journal of Cleaner Production, 113, 873-883.
Norman, D. (2013). The Design of Everyday Things: Revised and Expanded Edition. Basic Books. https://books.google.com.tw/books?id=nVQPAAAAQBAJ
Nyagadza, B., Muposhi, A., Mazuruse, G., Makoni, T., Chuchu, T., Maziriri, E. T., & Chare, A. (2022). Prognosticating anthropomorphic chatbots' usage intention as an e-banking customer service gateway: cogitations from Zimbabwe. PSU Research Review, ahead-of-print(ahead-of-print).
Ozturk, A. B., Bilgihan, A., Nusair, K., & Okumus, F. (2016). What keeps the mobile hotel booking users loyal? Investigating the roles of self-efficacy, compatibility, perceived ease of use, and perceived convenience. International Journal of Information Management, 36(6, Part B), 1350-1359.
Ozturk, A. B., Nusair, K., Okumus, F., & Hua, N. (2016). The role of utilitarian and hedonic values on users’ continued usage intention in a mobile hotel booking environment. International Journal of Hospitality Management, 57, 106-115.
Park, J.-S., Hyun, J.-H., Fairhurst, A., & Lee, K.-H. (2012). Perceptions of presence as antecedents to e-tail shopping-An extended technology acceptance model. The Research Journal of the Costume Culture, 20(3), 451-462.
Pandit, V. (2015). We are Generation Z: How Identity, Attitudes, and Perspectives are Shaping our Future., Brown Books Publishing Group.
Picard, R. W. (2003). Affective computing: challenges. International Journal of Human-Computer Studies, 59(1-2), 55-64.
Pizzi, G., Vannucci, V., & Aiello, G. (2020). Branding in the time of virtual reality: Are virtual store brand perceptions real? Journal of Business Research, 119, 502-510.
Priya, B., & Sharma, V. (2023). Exploring users' adoption intentions of intelligent virtual assistants in financial services: An anthropomorphic perspectives and socio-psychological perspectives. Computers in Human Behavior, 148, 107912.
Podsakoff, P. M., & Organ, D. W. (1986). Self-reports in organizational research: Problems and prospects. Journal of management, 12(4), 531-544.
Rainoldi, M., Driescher, V., Lisnevska, A., Zvereva, D., Stavinska, A., Relota, J., & Egger, R. (2018). Virtual reality: an innovative tool in destinations’ marketing. The Gaze: Journal of Tourism and Hospitality, 9(1), 53-68.
Reinhardt, R., & Gurtner, S. (2015). Differences between early adopters of disruptive and sustaining innovations. Journal of Business Research, 68(1), 137-145.
Roehrich, G. (2004). Consumer innovativeness: Concepts and measurements. Journal of Business Research, 57(6), 671-677.
Rogers, E. M. (2003). Diffusion of Innovations, 5th Edition. Free Press. https://books.google.com.tw/books?id=9U1K5LjUOwEC
Rogers, E. M., & Shoemaker, F. F. (1971). Communication of Innovations: A Cross-cultural Approach. Free Press.
Russell, S. J., Norvig, P., & Davis, E. (2010). Artificial Intelligence: A Modern Approach. Prentice Hall. https://books.google.com.tw/books?id=8jZBksh-bUMC
Ryan, M. L. (2015). Narrative as Virtual Reality 2: Revisiting Immersion and Interactivity in Literature and Electronic Media. Johns Hopkins University Press.
Rzepka, C., Berger, B., & Hess, T. (2020). Is it a Match? Examining the Fit Between Conversational Interaction Modalities and Task Characteristics. ICIS, 1-9
Sheehan, B., Jin, H. S., & Gottlieb, U. (2020). Customer service chatbots: Anthropomorphism and adoption. Journal of Business Research, 115, 14-24.
Singh, R. (2022). “Hey Alexa–order groceries for me” – the effect of consumer–VAI emotional attachment on satisfaction and repurchase intention. European Journal of Marketing, 56(6), 1684-1720.
Song, M., Droge, C., Hanvanich, S., & Calantone, R. (2005). Marketing and technology resource complementarity: an analysis of their interaction effect in two environmental contexts. Strategic Management Journal, 26(3), 259-276.
Statista. (2024). Number of voice assistant users in the United States from 2022 to 2026. from https://www.statista.com/statistics/1299985/voice-assistant-users-us/ Retrieved 2024/2/4
Steenkamp, J.-B. E. M., ter Hofstede, F., & Wedel, M. (1999). A Cross-National Investigation into the Individual and National Cultural Antecedents of Consumer Innovativeness. Journal of marketing, 63(2), 55-69.
Stock, R. M., Oliveira, P., & von Hippel, E. (2015). Impacts of Hedonic and Utilitarian User Motives on the Innovativeness of User-Developed Solutions. Journal of Product Innovation Management, 32(3), 389-403.
Strutton, H. D., Lumpkin, J. R., & Vitell, S. J. (1994). An applied investigation of Rogers and Shoemakers perceived innovation attribute typology when marketing to elderly consumers. Journal of Applied Business Research (JABR), 10(1), 118-131.
Suki, N. M., & Suki, N. M. (2011). Exploring the relationship between perceived usefulness, perceived ease of use, perceived enjoyment, attitude and subscribers’ intention towards using 3G mobile services. Journal of Information technology management, 22(1), 1-7.
Tam, K.-P., Lee, S.-L., & Chao, M. M. (2013). Saving Mr. Nature: Anthropomorphism enhances connectedness to and protectiveness toward nature. Journal of Experimental Social Psychology, 49(3), 514-521.
Tehseen, S., Ramayah, T., & Sajilan, S. (2017). Testing and controlling for common
method variance: A review of available methods. Journal of Management Sciences, 4(2), 142-168.
Timoshenko, A., & Hauser, J. R. (2019). Identifying Customer Needs from User-Generated Content. Marketing science, 38(1), 1-20.
Tong, S., Luo, X., & Xu, B. (2020). Personalized mobile marketing strategies. Journal of the Academy of Marketing Science, 48(1), 64-78.
Van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS Quarterly, 28(4), 695-704.
Van Kerrebroeck, H., Brengman, M., & Willems, K. (2017). When brands come to life: experimental research on the vividness effect of Virtual Reality in transformational marketing communications. Virtual Reality, 21(4), 177-191.
Vandecasteele, B., & Geuens, M. (2010). Motivated Consumer Innovativeness: Concept, measurement, and validation. International Journal of Research in marketing, 27(4), 308-318.
Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342-365.
Venkatesh, V., & Brown, S. A. (2001). A Longitudinal Investigation of Personal Computers in Homes: Adoption Determinants and Emerging Challenges. MIS Quarterly, 25(1), 71-102.
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157-178.
Venkatraman, M. P., & Price, L. L. (1990). Differentiating between cognitive and sensory innovativeness: Concepts, measurement, and implications. Journal of Business Research, 20(4), 293-315.
Vona, F., Torelli, E., Beccaluva, E., & Garzotto, F. (2020). Exploring the Potential of Speech-based Virtual Assistants in Mixed Reality Applications for People with Cognitive Disabilities. Proceedings of the International Conference on Advanced Visual Interfaces, Salerno, Italy.
Voss, K. E., Spangenberg, E. R., & Grohmann, B. (2003). Measuring the Hedonic and Utilitarian Dimensions of Consumer Attitude. Journal of marketing research, 40(3), 310-320.
Walczak, S. (2001). An Empirical Analysis of Data Requirements for Financial Forecasting with Neural Networks. Journal of Management Information Systems, 17(4), 203-222.
Wan, C.-S., Tsaur, S.-H., Chiu, Y.-L., & Chiou, W.-B. (2007). Is the advertising effect of virtual experience always better or contingent on different travel destinations? Information Technology & Tourism, 9(1), 45-54.
Wang, J. (2012). Research on Application of Virtual Reality Technology in Competitive Sports. Procedia Engineering, 29, 3659-3662.
Waytz, A., Heafner, J., & Epley, N. (2014). The mind in the machine: Anthropomorphism increases trust in an autonomous vehicle. Journal of Experimental Social Psychology, 52, 113-117.
Wei, W., Qi, R., & Zhang, L. (2019). Effects of virtual reality on theme park visitors' experience and behaviors: A presence perspective. Tourism Management, 71, 282-293.
Weijters, B., Geuens, M., & Roehrich, G. (2004). Consumer Innovativeness and Personal Values of Openness and Self-enhancement. In Proceedings of the 34th Annual Conference of the European Marketing Academy (EMAC).
Yeh, C.-H., Wang, Y.-S., Li, H.-T., & Lin, S.-Y. (2017). The effect of information presentation modes on tourists’ responses in Internet marketing: the moderating role of emotions. Journal of Travel & Tourism Marketing, 34(8), 1018-1032.
Yin, M., Jiang, S., & Niu, X. (2024). Can AI really help? The double-edged sword effect of AI assistant on employees’ innovation behavior. Computers in Human Behavior, 150, 107987.
Yu, J., Zo, H., Kee Choi, M., & P. Ciganek, A. (2013). User acceptance of location-based social networking services. Online Information Review, 37(5), 711-730.
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, 102878.
Zhang, S., Lin, X., Li, X., & Ren, A. (2022). Service robots’ anthropomorphism: dimensions, factors and internal relationships. Electronic Markets, 32(1), 277-295.