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博碩士論文 etd-0615121-142010 詳細資訊
Title page for etd-0615121-142010
論文名稱
Title
擴增實境對購買意圖的影響:以美妝產品為例
The Effect of Augmented Reality on Purchase Intention: Examples of Beauty Cosmetic Products
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
60
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
2021-07-02
繳交日期
Date of Submission
2021-07-15
關鍵字
Keywords
擴增實境、功利價值與享樂價值、網真、產品態度、購買意圖
Augmented Reality, Utilitarian Value and Hedonic Value, Telepresence, Product Attitude, Purchase Intention
統計
Statistics
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中文摘要
過去擴增實境技術應用於美妝上有許多的技術限制,而近年來由於技術上的改良,使得擴增實境運用於美妝行銷上的應用程式日漸興起,而台灣也興起了此種應用程式與美妝品牌合作的商業模式,因此本研究將探討擴增實境技術應用於美妝應用程式對於消費者之購買意圖的影響。
本研究以功利價值與享樂價值為本研究架構之基礎,蒐集各構念之相關文獻來建立衡量問項,並採用網路問卷調查的方式,使用SPSS24及SmartPLS等統計軟體進行資料分析,藉由探討構念間的關係以驗證擴增實境技術應用於美妝應用程式對於消費者之態度及購買意圖的有顯著影響的重要因素。研究結果顯示,消費者透過擴增實境試用美妝產品時,其購買意圖並不會受到享樂價值及功利價值的直接影響,但會透過消費者產品態度對其購買意圖產生積極影響,而擴增實境的網真特性透過帶給消費者對線上美妝產品更加真實的體驗,會直接顯著影響消費者的購買意願,並且還會對享樂價值及功利價值對產品態度的影響具有調節作用,另外擴增實境帶給消費者的感知風險會直接對購買意圖造成影響。
本研究期望提供一個理論架構,歸納出美妝應用程式的擴增實境對於消費者之購買意圖有積極影響之變數,提供美妝產品企業利用擴增實境技術銷售的重要因素與可改善之方向,並將本研究之結果做為日後研究之基礎與參考。
Abstract
The application of augmented reality technology to beauty cosmetics had many technical limitations in the past. However, in recent years, due to technological improvements, the application of augmented reality for cosmetics marketing has gradually emerged, and the business model of cooperation between such applications and beauty cosmetics brands have also emerged in Taiwan. Therefore, this study will explore the impact of augmented reality technology applied to beauty cosmetics applications on consumers’ purchase intentions.
The research is based on the utilitarian value and hedonic value as the basis of the research framework. It collects relevant literature on various dimensions to establish measurement questions. It uses online questionnaire surveys and uses statistical software such as SPSS24 and SmartPLS for data analysis. Explore the relationship between the dimensions to verify the key factor that the application of augmented reality technology to beauty cosmetics applications has significant influence on consumers' attitudes and purchase intentions. The research results show that when consumers try beauty cosmetics through augmented reality, their purchase intention will not be directly affected by hedonic value and utilitarian value, but it will have a positive impact on their purchase intention through attitudes. And the telepresence of augmented reality will directly and significantly affect consumers’ purchase intentions by bringing consumers a more realistic experience, and it will also have an moderation effect on hedonic value and utilitarian value to product attitudes.
This research is expected to provide a theoretical framework, hope to summarize the variables that the augmented reality of beauty cosmetics applications has a positive impact on consumers' purchase intentions, and to provide the cosmetics product-oriented business with the importance of using augmented reality technology to sell factors and directions for improvement, and to use the results of this research as the basis and reference for future research.
目次 Table of Contents
論文審定書 ………………………………………………………………………………….. i
中文摘要 ……………………………………………………………………………………. ii
英文摘要 …………………………………………………………………………………… iii
目錄 …………………………………………………………………………………………. v
圖次 ………………………………………………………………………………………... vii
表次 ……………………………………………………………………………………….. viii
第一章 緒論 ………………………………………………………………………………... 1
第一節 研究背景 ……………………………………………………………………... 1
第二節 研究動機 ……………………………………………………………………... 2
第三節 研究目的 ……………………………………………………………………... 3
第四節 研究流程 ……………………………………………………………………... 4
第二章 文獻回顧 …………………………………………………………………………... 5
第一節 擴增實境 ……………………………………………………………………... 5
第二節 網真 …………………………………………………………………………... 6
第三節 功利價值與享樂價值 ………………………………………………………... 6
第四節 感知風險 ……………………………………………………………………... 8
第五節 逃避現實 ……………………………………………………………………... 8
第六節 態度與行為意圖 ……………………………………………………………... 9
第三章 研究方法 …………………………………………………………………………. 11
第一節 研究架構 ……………………………………………………………………. 11
第二節 研究假說 ……………………………………………………………………. 11
第三節 操作型定義與衡量問項 ……………………………………………………. 15
第四節 研究設計 ……………………………………………………………………. 19
第四章 資料分析 …………………………………………………………………………. 21
第一節 樣本基本資料分析 …………………………………………………………. 21
第二節 信度與效度分析 ……………………………………………………………. 24
第三節 共同方法變異分析 …………………………………………………………. 27
第四節 模型與假說驗證 ……………………………………………………………. 29
第五章 結論與建議 ………………………………………………………………………. 33
第一節 研究結果與討論 ……………………………………………………………. 33
第二節 理論及實務意涵 ……………………………………………………………. 36
第三節 研究限制 ……………………………………………………………………. 38
第四節 未來研究方向 ………………………………………………………………. 39
參考文獻…………………………………………………………………………………... 41
附錄一 正式問卷 …………………………………………………………………………. 49
參考文獻 References
Aghekyan-Simonian, M., Forsythe, S., Suk Kwon, W., & Chattaraman, V. (2012). The role of product brand image and online store image on perceived risks and online purchase intentions for apparel. Journal of Retailing and Consumer Services, 19(3), 325–331. https://doi.org/10.1016/j.jretconser.2012.03.006
Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
Azuma, R. T. (1997). A Survey of Augmented Reality. Presence: Teleoperators and Virtual Environments, 6(4), 355–385. https://doi.org/10.1162/pres.1997.6.4.355
Babin, B., Darden, W., & Griffin, M. (1994). Work and or Fun—Measuring Hedonic and Utilitarian Shopping Value. Journal of Consumer Research, 20(4), 644–656. https://doi.org/10.1086/209376
Bauer, H. H., Falk, T., & Hammerschmidt, M. (2006). eTransQual: A transaction process-based approach for capturing service quality in online shopping. Journal of Business Research, 59(7), 866–875. https://doi.org/10.1016/j.jbusres.2006.01.021
Baytar, F., Chung, T., & Shin, E. (2020). Evaluating garments in augmented reality when shopping online. Journal of Fashion Marketing and Management. https://doi.org/10.1108/JFMM-05-2018-0077
Bitner, M. (1990). Evaluating Service Encounters—The Effects of Physical Surroundings and Employee Responses. Journal of Marketing, 54(2), 69–82. https://doi.org/10.2307/1251871
Bonnin, G. (2020). The roles of perceived risk, attractiveness of the online store and familiarity with AR in the influence of AR on patronage intention. Journal of Retailing and Consumer Services, 52, 101938. https://doi.org/10.1016/j.jretconser.2019.101938
Bueno, S., Dolores Gallego, M., & Noyes, J. (2020). Uses and Gratifications on Augmented Reality Games: An Examination of Pokemon Go. Applied Sciences-Basel, 10(5), 1644. https://doi.org/10.3390/app10051644
Chen, W.-K., Chang, D.-S., & Chen, C.-C. (2017). The role of utilitarian and hedonic values on users’ continued usage and purchase intention in a social commerce environment. Journal of Economics and Management, 13(2), 193–220.
Daassi, M., & Debbabi, S. (2021). Intention to reuse AR-based apps: The combined role of the sense of immersion, product presence and perceived realism. Information & Management, 58(4), 103453. https://doi.org/10.1016/j.im.2021.103453
Dacko, S. G. (2017). Enabling smart retail settings via mobile augmented reality shopping apps. Technological Forecasting and Social Change, 124, 243–256. https://doi.org/10.1016/j.techfore.2016.09.032
Dowling, G., & Staelin, R. (1994). A Model of Perceived Risk and Intended Risk-Handling Activity. Journal of Consumer Research, 21(1), 119–134. https://doi.org/10.1086/209386
Evangelista, B., Meshkin, H., Kim, H., Aburto, A., Rubinstein, B. M., & Ho, A. (2018). Realistic AR makeup over diverse skin tones on mobile. SIGGRAPH Asia 2018 Posters, 1–2. https://doi.org/10.1145/3283289.3283313
F. Hair Jr, J., Sarstedt, M., Hopkins, L., & G. Kuppelwieser, V. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106–121. https://doi.org/10.1108/EBR-10-2013-0128
Fischer, E., & Arnold, S. (1990). More Than a Labor of Love—Gender-Roles and Christmas Gift Shopping. Journal of Consumer Research, 17(3), 333–345. https://doi.org/10.1086/208561
Fishbein, M. (1975). Ajzen, leek (1975), Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, MA: Addison Wisley.
Fornell, C., & Larcker, D. (1981a). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
Fornell, C., & Larcker, D. (1981b). Structural Equation Models with Unobservable Variables and Measurement Error—Algebra and Statistics. Journal of Marketing Research, 18(3), 382–388. https://doi.org/10.2307/3150980
Ghazali, E. M., Mutum, D. S., & Woon, M. Y. (2019). Multiple sequential mediation in an extended uses and gratifications model of augmented reality game Pokemon Go. Internet Research, 29(3), 504–528. https://doi.org/10.1108/IntR-12-2017-0505
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. https://doi.org/10.1007/s11747-014-0403-8
Hilken, T., de Ruyter, K., Chylinski, M., Mahr, D., & Keeling, D. I. (2017). Augmenting the eye of the beholder: Exploring the strategic potential of augmented reality to enhance online service experiences. Journal of the Academy of Marketing Science, 45(6), 884–905. https://doi.org/10.1007/s11747-017-0541-x
Hu, L., & Bentler, P. M. (1999). Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria Versus New Alternatives. Structural Equation Modeling-a Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
Hyun, M. Y., & O’Keefe, R. M. (2012). Virtual destination image: Testing a telepresence model. Journal of Business Research, 65(1), 29–35. https://doi.org/10.1016/j.jbusres.2011.07.011
Iwabuchi, E., Nakagawa, M., & Siio, I. (2009). Smart Makeup Mirror: Computer-Augmented Mirror to Aid Makeup Application. Human-Computer Interaction. Interacting in Various Application Domains, 495–503. https://doi.org/10.1007/978-3-642-02583-9_54
Kempf, D. S., & Smith, R. E. (1998). Consumer processing of product trial and the influence of prior advertising: A structural modeling approach. Journal of Marketing Research, 35(3), 325–338. https://doi.org/10.2307/3152031
Kim, H.-C., & Hyun, M. Y. (2016). Predicting the use of smartphone-based Augmented Reality (AR): Does telepresence really help? Computers in Human Behavior, 59, 28–38. https://doi.org/10.1016/j.chb.2016.01.001
Kim, J. B. (2012). An empirical study on consumer first purchase intention in online shopping: Integrating initial trust and TAM. Electronic Commerce Research, 12(2), 125–150. https://doi.org/10.1007/s10660-012-9089-5
Kim, T., & Biocca, F. (1997). Telepresence via Television: Two Dimensions of Telepresence May Have Different Connections to Memory and Persuasion. Journal of Computer-Mediated Communication, 3(2). https://doi.org/10.1111/j.1083-6101.1997.tb00073.x
Kourouthanassis, P., Boletsis, C., Bardaki, C., & Chasanidou, D. (2015). Tourists responses to mobile augmented reality travel guides: The role of emotions on adoption behavior. Pervasive and Mobile Computing, 18, 71–87. https://doi.org/10.1016/j.pmcj.2014.08.009
Li, H. R., 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. https://doi.org/10.1080/00913367.2002.10673675
Mathwick, C., Malhotra, N., & Rigdon, E. (2001). Experiential value: Conceptualization, measurement and application in the catalog and Internet shopping environment. Journal of Retailing, 77(1), 39–56. https://doi.org/10.1016/S0022-4359(00)00045-2
Mills, M., & Bonoma, T. (1983). Consumer-Behavior—An Information-Processing Perspective—Sternthal,b, Craig,cs. Contemporary Psychology, 28(4), 307–308.
Minsky, M. (1980). Telepresence.
Nash, R., Fieldman, G., Hussey, T., Leveque, J. L., & Pineau, P. (2006). Cosmetics: They influence more than Caucasian female facial attractiveness. Journal of Applied Social Psychology, 36(2), 493–504. https://doi.org/10.1111/j.0021-9029.2006.00016.x
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. https://doi.org/10.1016/j.ijhm.2016.06.007
Pantano, E., Rese, A., & Baier, D. (2017). Enhancing the online decision-making process by using augmented reality: A two country comparison of youth markets. Journal of Retailing and Consumer Services, 38, 81–95. https://doi.org/10.1016/j.jretconser.2017.05.011
Pavlou, P. A., & Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. Mis Quarterly, 30(1), 115–143.
Pine, B. J., & Gilmore, J. H. (1998). Welcome to the experience economy. Harvard Business Review, 76, 97–105.
Podsakoff, P., & Organ, D. (1986). Self-Reports in Organizational Research—Problems and Prospects. Journal of Management, 12(4), 531–544. https://doi.org/10.1177/014920638601200408
Rahman, A. S. M. M., Tran, T. T., Hossain, S. A., & Saddik, A. E. (2010). Augmented Rendering of Makeup Features in a Smart Interactive Mirror System for Decision Support in Cosmetic Products Selection. 2010 IEEE/ACM 14th International Symposium on Distributed Simulation and Real Time Applications, 203–206. https://doi.org/10.1109/DS-RT.2010.30
Rana, N. P., Slade, E., Kitchin, S., & Dwivedi, Y. K. (2019). The IT way of loafing in class: Extending the theory of planned behavior (TPB) to understand students’ cyberslacking intentions. Computers in Human Behavior, 101, 114–123. https://doi.org/10.1016/j.chb.2019.07.022
Rao, S., & Farley, J. U. (1987). Effects of environmental perceptions and cognitive complexity on search and information processing. Psychology & Marketing (1986-1998), 4(4), 287.
Rauschnabel, P. A., Rossmann, A., & Dieck, M. C. tom. (2017). An adoption framework for mobile augmented reality games: The case of Pokemon Go. Computers in Human Behavior, 76, 276–286. https://doi.org/10.1016/j.chb.2017.07.030
Rese, A., Baier, D., Geyer-Schulz, A., & Schreiber, S. (2017). How augmented reality apps are accepted by consumers: A comparative analysis using scales and opinions. Technological Forecasting and Social Change, 124, 306–319. https://doi.org/10.1016/j.techfore.2016.10.010
Smink, A. R., Frowijn, S., van Reijmersdal, E. A., van Noort, G., & Neijens, P. C. (2019). Try online before you buy: How does shopping with augmented reality affect brand responses and personal data disclosure. Electronic Commerce Research and Applications, 35, 100854. https://doi.org/10.1016/j.elerap.2019.100854
Soares Borges, A. de F., & Morimoto, C. H. (2019). A Virtual Makeup Augmented Reality System. 2019 21st Symposium on Virtual and Augmented Reality (SVR), 34–42. https://doi.org/10.1109/SVR.2019.00022
Steuer, J. (1992). Defining Virtual Reality—Dimensions Determining Telepresence. Journal of Communication, 42(4), 73–93. https://doi.org/10.1111/j.1460-2466.1992.tb00812.x
Suh, K. S., & Chang, S. Y. (2006). User interfaces and consumer perceptions of online stores: The role of telepresence. Behaviour & Information Technology, 25(2), 99–113. https://doi.org/10.1080/01449290500330398
Suki, N. M., & Suki, N. M. (2017). Modeling the determinants of consumers’ attitudes toward online group buying: Do risks and trusts matters? Journal of Retailing and Consumer Services, 36, 180–188. https://doi.org/10.1016/j.jretconser.2017.02.002
Taneja, A., Fiore, V., & Fischer, B. (2015). Cyber-slacking in the classroom: Potential for digital distraction in the new age. Computers & Education, 82, 141–151. https://doi.org/10.1016/j.compedu.2014.11.009
Taylor, J. W. (1974). The role of risk in consumer behavior: A comprehensive and operational theory of risk taking in consumer behavior. Journal of Marketing, 38(2), 54–60.
Treepong, B., Mitake, H., & Hasegawa, S. (2018). Makeup Creativity Enhancement with an Augmented Reality Face Makeup System. Computers in Entertainment, 16(4), 6:1-6:17. https://doi.org/10.1145/3277452
Tung, F.-C., Chang, S.-C., & Chou, C.-M. (2008). An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS non the medical industry. International Journal of Medical Informatics, 77(5), 324–335. https://doi.org/10.1016/j.ijmedinf.2007.06.006
Van Kerrebroeck, H., Brengman, M., & Willems, K. (2017). Escaping the crowd: An experimental study on the impact of a Virtual Reality experience in a shopping mall. Computers in Human Behavior, 77, 437–450. https://doi.org/10.1016/j.chb.2017.07.019
Verhoef, P. C., Kannan, P. K., & Inman, J. J. (2015). From Multi-Channel Retailing to Omni-Channel Retailing Introduction to the Special Issue on Multi-Channel Retailing. Journal of Retailing, 91(2), 174–181. https://doi.org/10.1016/j.jretai.2015.02.005
Zeithaml, V. (1988). Consumer Perceptions of Price, Quality, and Value—A Means-End Model and Synthesis of Evidence. Journal of Marketing, 52(3), 2–22. https://doi.org/10.2307/1251446
百家彩妝品牌撐腰!締造全球5.5億下載,玩美移動用AR「試」出商機|數位時代. (2018, February 8). 數位時代. https://www.bnext.com.tw/article/48130/perfect-beauty-ar
美圖PK玩美移動,看兩大龍頭如何點燃台灣AR美妝市場戰火|數位時代. (2018, August 22). 數位時代. https://www.bnext.com.tw/article/50312/meitu-and-perfectcorp-makeup-with-ar
蔡佳進. (2011). 以期望確認理論觀點探討實用性與娛樂性價值對社交網站滿意度及持續使用意圖之影響 [國立中山大學]. In 資訊管理學系研究所: Vol. 碩士. https://hdl.handle.net/11296/5kd9kd
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