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研究生: 劉偉皓
Wei-Hao Liou
論文名稱: 臉書直播購買行為之研究
The Study of Purchase Behavior on Facebook Live
指導教授: 陳炫碩
Shiuann-Shuoh Chen
口試委員:
學位類別: 碩士
Master
系所名稱: 管理學院 - 企業管理學系
Department of Business Administration
論文出版年: 2018
畢業學年度: 106
語文別: 中文
論文頁數: 47
中文關鍵詞: 直播購物產品種類情緒起伏自在感
外文關鍵詞: Live Shopping, Product Type, Arousal, Pleasantness
相關次數: 點閱:18下載:0
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  • 隨著近年來智慧型手機與裝置的普及,直播的出現,讓即時性不再遙不可及,許多日常生活的小事,皆能利用行動裝置快速且即時地和朋友分享喜怒哀樂,除了和他人分享生活的點點滴滴,由於觀眾能夠在直播的過程和直播主即時的互動,直播平台甚至作為許多業者的銷售管道,直播主有如實體店面銷售員,雖然人並非實際出現在你身邊,但就像面對面親自和你介紹產品一樣,立即的對話互動以及限時喊價的緊張刺激感,都為直播帶來不同的感受。
    過往的研究大多探討實體店內的購物氣氛如何影響消費者的購買行為,鮮少應用於線上虛擬店家,因此本研究以Facebook直播購物為研究場景,探討直播平台所營造的購物氣氛,是否讓消費者感覺自在,進而提升購買意願。再者,根據Bloch and Richins (1983)所提出,不同類型的產品會影響消費者的購買行為,因此本研究加入搜尋品與經驗品作為類別變數,探討在何種產品類型的情況下,自在感對於購買行為的影響較大。


    The emergence of live broadcasts has made timeliness possible with the popularity of smart phone and devices in recent years. People can use the mobile device to share their daily life with friends instantly. In addition to sharing life, the audience can also interact with the host. The live broadcast even has become a way for sales. The host is just like a physical store salesperson who is not actually present on your side. They will be like a real person and introduce the product for you. The communication and the excited sense of time-limited auction bring the different feeling to the live broadcast.
    The research mostly discussed how the shopping atmosphere in a physical store affected the consumer’s purchase behavior but did not apply to online store. Therefore, this study used Facebook live shopping as a research scenario to explore whether the shopping atmosphere created by the live broadcast platform would make consumer feel pleasant. The person feels comfortable and will increase their willingness to buy. Furthermore, according to Bloch and Richins (1983), different types of products affect consumer purchasing behavior. Therefore, search and experience goods are added as class variable in this study to explore which type of products will make the power of pleasantness affect on purchase behavior higher.

    摘要 I Abstract II 致謝 III 目錄 IV 表目錄 VII 圖目錄 VIII 一、緒論 1 1-1 研究背景與動機: 1 1-2 研究目的與問題: 3 二、文獻探討 4 2-1 擬社會互動 (Para-social Interaction) 4 2-2 互動性 (Interactivity) 5 2-3 時間壓力 (Time Pressure) 5 2-4 情緒喚起 (Arousal) 6 2-5 自在感 (Pleasantness) 6 2-6 搜尋品與經驗品 (Search Goods and Experience Goods) 6 2-7 購買行為 (Purchase Behavior) 7 三、研究方法與假說 8 3-1 研究假說 8 3-2 研究架構 11 3-3 實驗設計 12 3-4 研究變項衡量 12 3-4-1 自變項:擬社會互動、互動性、時間壓力 12 3-4-2 中介變項:情緒起伏、自在感 15 3-4-3 調節變項:產品種類 17 3-4-4 依變項:購買行為 17 3-4-5 控制變項:產品需求、直播主偏好 17 3-5 抽樣對象 18 四、資料分析 20 4-1資料處理與統計方法 20 4-1-1 資料處理 20 4-1-2 統計分析類別 20 4-2 敘述性統計分析 20 4-3 樣本差異比較 21 4-4 構面問項信度與效度分析 21 4-5 結構模型結果評估 22 4-6 不同產品種類之調節效果分析 22 五、結論與建議 23 5-1 研究結論 23 5-2 建議與方向 23 六、參考文獻 24 七、附錄 29

    Ahituv, N., Igbaria, M., & Sella, A. V. (1998). The effects of time pressure and completeness of information on decision making. Journal of management information systems, 15(2), 153-172.
    Alba, J., Lynch, J., Weitz, B., Janiszewski, C., Lutz, R., Sawyer, A., & Wood, S. (1997). Interactive home shopping: consumer, retailer, and manufacturer incentives to participate in electronic marketplaces. The Journal of Marketing, 38-53.
    Baker, J., Levy, M., & Grewal, D. (1992). An experimental approach to making retail store environmental decisions. Journal of retailing, 68(4), 445.
    Benbasat, I., & Dexter, A. S. (1986). An investigation of the effectiveness of color and graphical information presentation under varying time constraints. MIS quarterly, 59-83.
    Bloch, P. H., & Richins, M. L. (1983). A theoretical model for the study of product importance perceptions. The Journal of Marketing, 69-81.
    Chory-Assad, R. M., & Yanen, A. (2005). Hopelessness and loneliness as predictors of older adults' involvement with favorite television performers. Journal of Broadcasting & Electronic Media, 49(2), 182-201.
    Citrin, A. V., Stem Jr, D. E., Spangenberg, E. R., & Clark, M. J. (2003). Consumer need for tactile input: An internet retailing challenge. Journal of business research, 56(11), 915-922.
    Clore, G. L., Schwarz, N., & Conway, M. (1994). Affective causes and consequences of social information processing. Handbook of social cognition, 1, 323-417.
    Cox, J. C., Roberson, B., & Smith, V. L. (1982). Theory and behavior of single object auctions. Research in experimental economics, 2(1), 1-43.
    Donovan, R., & Rossiter, J. (1982). Store atmosphere: an environmental psychology approach. Journal of retailing, 58(1), 34-57.
    Duffy, E. (1962). Activation and behavior.
    Engel, J. F., Blackwell, R. D., & Miniard, P. W. (1993). Consumer behavior: South Western Educational Publishing.
    Eroglu, S. A., Machleit, K. A., & Davis, L. M. (2003). Empirical testing of a model of online store atmospherics and shopper responses. Psychology & marketing, 20(2), 139-150.
    Finucane, M. L., Alhakami, A., Slovic, P., & Johnson, S. M. (2000). The affect heuristic in judgments of risks and benefits. Journal of behavioral decision making, 13(1), 1.
    Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of marketing research, 382-388.
    Hartmann, T., & Goldhoorn, C. (2011). Horton and Wohl revisited: Exploring viewers' experience of parasocial interaction. Journal of communication, 61(6), 1104-1121.
    Hoerner, J. (1999). Scaling the web: a parasocial interaction scale for world wide web sites. Advertising and the world wide web, 99, 135-147.
    Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. The Journal of Marketing, 50-68.
    Horton, D., & Richard Wohl, R. (1956). Mass communication and para-social interaction: Observations on intimacy at a distance. Psychiatry, 19(3), 215-229.
    Horton, D., & Strauss, A. (1957). Interaction in audience-participation shows. American Journal of Sociology, 62(6), 579-587.
    Huang, P., Lurie, N. H., & Mitra, S. (2009). Searching for experience on the web: an empirical examination of consumer behavior for search and experience goods. Journal of marketing, 73(2), 55-69.
    Jones, C. L., Minati, L., Harrison, N. A., Ward, J., & Critchley, H. D. (2011). Under pressure: response urgency modulates striatal and insula activity during decision-making under risk. PLoS One, 6(6), e20942.
    Kaltcheva, V. D., & Weitz, B. A. (2006). When should a retailer create an exciting store environment? Journal of marketing, 70(1), 107-118.
    Keinan, G., Friedland, N., & Ben-Porath, Y. (1987). Decision making under stress: Scanning of alternatives under physical threat. Acta Psychologica, 64(3), 219-228.
    Klein, L. R. (1998). Evaluating the potential of interactive media through a new lens: Search versus experience goods. Journal of business research, 41(3), 195-203.
    Kotler, P. (2000). Marketing management: The millennium edition. Marketing Management, 23(6), 188-193.
    Ku, G., Malhotra, D., & Murnighan, J. K. (2005). Towards a competitive arousal model of decision-making: A study of auction fever in live and Internet auctions. Organizational Behavior and Human Decision Processes, 96(2), 89-103.
    Levy, M. R. (1979). Watching TV news as para‐social interaction. Journal of Broadcasting & Electronic Media, 23(1), 69-80.
    Luo, J., Ba, S., & Zhang, H. (2012). The effectiveness of online shopping characteristics and well-designed websites on satisfaction. MIS quarterly, 1131-1144.
    Lynch Jr, J. G., & Ariely, D. (2000). Wine online: Search costs affect competition on price, quality, and distribution. Marketing science, 19(1), 83-103.
    Malhotra, D. (2010). The desire to win: The effects of competitive arousal on motivation and behavior. Organizational Behavior and Human Decision Processes, 111(2), 139-146.
    Maule, A. J., Hockey, G. R. J., & Bdzola, L. (2000). Effects of time-pressure on decision-making under uncertainty: changes in affective state and information processing strategy. Acta Psychologica, 104(3), 283-301.
    Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology: the MIT Press.
    Moon, J., Chadee, D., & Tikoo, S. (2008). Culture, product type, and price influences on consumer purchase intention to buy personalized products online. Journal of business research, 61(1), 31-39.
    Nelson, P. (1970). Information and consumer behavior. Journal of political economy, 78(2), 311-329.
    Newhagen, J. E., Cordes, J. W., & Levy, M. R. (1995). Nightly@ nbc. com: Audience scope and the perception of interactivity in viewer mail on the Internet. Journal of communication, 45(3), 164-175.
    Ordonez, L., & Benson III, L. (1997). Decisions under time pressure: How time constraint affects risky decision making. Organizational Behavior and Human Decision Processes, 71(2), 121-140.
    Overby, J. W., & Lee, E.-J. (2006). The effects of utilitarian and hedonic online shopping value on consumer preference and intentions. Journal of business research, 59(10-11), 1160-1166.
    Park, C. W., Iyer, E. S., & Smith, D. C. (1989). The effects of situational factors on in-store grocery shopping behavior: The role of store environment and time available for shopping. Journal of consumer research, 15(4), 422-433.
    Park, S. C., Keil, M., Kim, J. U., & Bock, G.-W. (2012). Understanding overbidding behavior in C2C auctions: An escalation theory perspective. European Journal of Information Systems, 21(6), 643-663.
    Peterson, R. A., Balasubramanian, S., & Bronnenberg, B. J. (1997). Exploring the implications of the Internet for consumer marketing. Journal of the Academy of Marketing science, 25(4), 329-346.
    Putrevu, S., & Ratchford, B. T. (1997). A model of search behavior with an application to grocery shopping. Journal of retailing, 73(4), 463-486.
    Rosen, K. T., & Howard, A. L. (2000). E-retail: Gold rush or fool's gold? California management review, 42(3), 72-100.
    Rubin, A. M., Perse, E. M., & Powell, R. A. (1985). Loneliness, parasocial interaction, and local television news viewing. Human Communication Research, 12(2), 155-180.
    Russell, D., Peplau, L. A., & Ferguson, M. L. (1978). Developing a measure of loneliness. Journal of personality assessment, 42(3), 290-294.
    Russell, J. A., & Barrett, L. F. (1999). Core affect, prototypical emotional episodes, and other things called emotion: dissecting the elephant. Journal of personality and social psychology, 76(5), 805.
    Sherman, E., Mathur, A., & Smith, R. B. (1997). Store environment and consumer purchase behavior: mediating role of consumer emotions. Psychology and Marketing, 14(4), 361-378.
    Song, J. H., & Zinkhan, G. M. (2008). Determinants of perceived web site interactivity. Journal of marketing, 72(2), 99-113.
    Sproull, L., Subramani, M., Kiesler, S., Walker, J. H., & Waters, K. (1996). When the interface is a face. Human-Computer Interaction, 11(2), 97-124.
    Tauber, E. M. (1972). Why do people shop? The Journal of Marketing, 46-49.
    Thayer, R. E. (1970). Activation states as assessed by verbal report and four psychophysiological variables. Psychophysiology, 7(1), 86-94.
    Vickrey, W. (1961). Counterspeculation, auctions, and competitive sealed tenders. The Journal of finance, 16(1), 8-37.
    Wu, G. (1999). Perceived interactivity and attitude toward web sites. Paper presented at the Proceedings of the conference-American Academy of Advertising.
    Zaichkowsky, J. L. (1985). Measuring the involvement construct. Journal of consumer research, 12(3), 341-352.
    Zettelmeyer, F., Morton, F. S., & Silva-Risso, J. (2006). How the Internet lowers prices: Evidence from matched survey and automobile transaction data. Journal of marketing research, 43(2), 168-181.

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