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姓名 林欣儀(Sin-yi Lin) 電子郵件信箱 E-mail 資料不公開
畢業系所 資訊管理學系研究所(Information Management)
畢業學位 碩士(Master) 畢業時期 105學年第2學期
論文名稱(中) 時間壓力對消費者購物意圖影響之神經科學研究
論文名稱(英) Effect of Time Pressure on Consumer’s Purchase Intention: A Neuroscience Study
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    紙本論文:3 年後公開 (2020-08-18 公開)

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    摘要(中) 網路的普及與線下物流的成熟對消費者帶來的便利性,造就了現今電子商務的蓬勃發展。許多消費者會透過網路進行比價與購物。因此,各購物網站常常會推出限時促銷活動,以增加銷售量。
    本研究探討時間壓力對於購買意圖之影響,並結合腦神經科學,除了以問卷衡量體驗過程外,也使用眼動儀與腦波儀了解消費者的眼動行為與專注程度。此外,本研究根據推敲可能性模式理論設計了一份衡量消費者決策路徑的量表。
    本研究採取2 (時間壓力:有vs.無) x2 (產品涉入:高vs.低)的實驗設計,共有55位受測者參與實驗。研究結果顯示:(1)時間壓力會正向影響消費者購買意圖。(2)有時間壓力下,消費者會傾向採取邊陲路徑;若對產品涉入程度高則會傾向採取邊陲路徑。(3)採取中央路徑思考的消費者會對商品產生好的態度。(4)在眼動數據分析方面,產品涉入程度高者,凝視商品的時間較長,凝視推薦資訊的時間也比較長。此外,凝視推薦資訊時間越長會對商品產生較好的的態度。 (5) 在腦波數據分析方面,產品涉入程度高者在評估商品時投入較多的心力,因此專注程度較高。
    摘要(英) The popularity of the Internet and the improvement of business logistics bring convenience to consumers, which leads to the rapid development of e-commerce. Many consumers compare prices and purchase through the Internet. In order to attract customers, sellers often offer limited time promotional offers. Time limitation is often considered a factor that affects purchase intention and this has been confirmed by a few previous studies.
    The purpose of this study is to examine the effect of time pressure on customer’s purchase intention from a new neuroscience perspective. We not only collect both subjective data collected by questionnaires, but also collect objective physiological data by eye-tracking and Electroencephalogram (EEG). Furthermore, we use an instrument to measure consumers’ decision paths described in the elaboration likelihood model (ELM).
    This study designs a 2 (time pressure: High vs. Low) x 2 (product involvement: High vs. Low) experiment and recruits 55 volunteers to participate in the experiment. The results indicate that (1) time pressure can increase purchase intention; (2) time pressure and product involvement affect thinking routes; (3) thinking routes affect consumer’s attitude toward the product; (4) in the eye-tracking data, high involvement causes longer gaze time on product and recommendation area and longer gaze time leads to more favorable attitude; and (5) in the brainwave data, high involvement is associated with higher attention in product assessment.
    關鍵字(中)
  • 眼動追蹤
  • 腦波
  • 推敲可能性模式
  • 時間壓力
  • 神經資訊系統
  • 關鍵字(英)
  • Electroencephalogram(EEG)
  • Eye-tracking
  • Neural information systems
  • Time pressure
  • Elaboration likelihood model (ELM)
  • 論文目次 目錄
    論文審定書 i
    致謝 ii
    摘要 iii
    Abstract iv
    目錄 v
    圖目錄 vii
    表目錄 viii
    第一章 緒論 1
    第一節 研究背景 1
    第二節 研究動機與研究目的 2
    第三節 研究流程 3
    第二章 文獻探討 4
    第一節 促銷 4
    第二節 時間壓力 5
    第三節 產品涉入 8
    第四節 消費者態度的形成與改變 10
    第五節 腦波與神經資訊學 13
    第六節 眼動行為與注意力 16
    第三章 研究架構與方法 18
    第一節 研究架構 18
    第二節 推論與假說 18
    第三節 研究變項與操作型定義 22
    第四節 實驗設計 28
    第五節 前測 34
    第六節 正式實驗流程 36
    第四章 資料分析與討論 38
    第一節 樣本基本資料描述 38
    第二節 信效度分析 39
    第三節 腦波與眼動數據分析 42
    第四節 敘述統計分析 44
    第五節 變數操弄檢定 45
    第六節 研究假說驗證分析 46
    第七節 延伸分析 52
    第五章 結論與建議 56
    第一節 研究結論 56
    第二節 研究貢獻 58
    第三節 研究限制與未來研究方向建議 59
    參考文獻 60
    附錄一 前測一問卷 66
    附錄二 各實驗組別網頁資訊 68
    附錄三 正式實驗問卷 70
    附錄四 實驗說明書 72
    附錄五 研究參與者同意書 74
    參考文獻 中文部分
    別蓮蒂, & 沈永正. (2011). 雙軌溝通說服模式的腦神經研究觀點:功能性核磁共振影像在推敲可能性模式與系統簡則思考模式的應用.
    林郁凡. (2014). 時間壓力及折扣策略對消費者購買意圖之影響─以適地性行動折價券為例. 國立中山大學資訊管理學系碩士論文. 
    徐鈺媛. (2013). 時間壓力與任務複雜度對腦波影響之研究. 淡江大學資訊管理學系碩士班學位論文, 1-86.
    張杰. (2017). 線上廣告訴求與認知需求對於消費者購買決策的影響. 國立政治大學資訊管理學系碩士論文. 
    陳灯能, & 蘇柏銘. (2015). 結合腦波分析與內容導向過濾為基礎的文章推薦系統. 資訊管理學報, 22(2), 141-170.
    陳律文. (2016). 電子商務中商品推薦效果的腦神經科學研究. 國立中山大學資訊管理學系碩士論文. 
    陳思帆. (2014). 網站體驗之沉浸經驗與腦波分析. 國立政治大學資訊管理學系碩士論文. 
    蕭文龍, 黃莉君, & 楊雅雯. (2016). 神經資訊系統文獻彙整分析. 東吳經濟商學學報(92), 37-56.
    英文部分
    Aaker, D. A. (1973). Toward a normative model of promotional decision making. Management Science, 19(6), 593-603.
    Aggarwal, P., Jun, S. Y., & Huh, J. H. (2011). Scarcity messages. Journal of Advertising, 40(3), 19-30.
    Aggarwal, P., & Vaidyanathan, R. (2003). Use it or lose it: Purchase acceleration effects of time-limited promotions. Journal of Consumer Behaviour, 2(4), 393-403.
    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.
    Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
    Baker, T. L., Cronin Jr, J. J., & Hopkins, C. D. (2009). The impact of involvement on key service relationships. Journal of Services Marketing, 23(2), 114-123.
    Beem, E. R., & Shaffer, H. J. (1981). Triggers to customer action: some elements in a theory of promotional inducement: Marketing Science Institute.
    Behe, B. K., Bae, M., Huddleston, P. T., & Sage, L. (2015). The effect of involvement on visual attention and product choice. Journal of Retailing and Consumer Services, 24, 10-21.
    Belanche, D., Flavián, C., & Pérez-Rueda, A. (2017). Understanding Interactive Online Advertising: Congruence and Product Involvement in Highly and Lowly Arousing, Skippable Video Ads. Journal of Interactive Marketing, 37, 75-88.
    Benn, Y., Webb, T. L., Chang, B. P. I., & Reidy, J. (2015). What information do consumers consider, and how do they look for it, when shopping for groceries online? Appetite, 89, 265-273.
    Benson III, L., & Beach, L. R. (1998). The effects of time constraints on the prechoice screening of decision options. Image theory: Theoretical and empirical foundations, 51-60.
    Berezina, K., Semrad, K. J., Stepchenkova, S., & Cobanoglu, C. (2016). The managerial flash sales dash: Is there advantage or disadvantage at the finish line? International Journal of Hospitality Management, 54, 12-24.
    Blackwell, R. D., Miniard, P. W., & Engel, J. F. (2001). Consumer behavior 9th. South-Western Thomas Learning. Mason, OH.
    Blattberg, R. C., Eppen, G. D., & Lieberman, J. (1981). A theoretical and empirical evaluation of price deals for consumer nondurables. The Journal of Marketing, 116-129.
    Celsi, R. L., & Olson, J. C. (1988). The role of involvement in attention and comprehension processes. Journal of Consumer Research, 15(2), 210-224.
    Chan, Y. Y., & Ngai, E. W. (2011). Conceptualising electronic word of mouth activity: An input-process-output perspective. Marketing Intelligence & Planning, 29(5), 488-516.
    Coulter, K. S., & Roggeveen, A. (2012). Deal or no deal? How number of buyers, purchase limit, and time-to-expiration impact purchase decisions on group buying websites. Journal of Research in Interactive Marketing, 6(2), 78-95.
    Crano, W. D., & Messé, L. A. (1982). Social psychology: Principles and themes of interpersonal behavior: Dorsey Press, the.
    de Guinea, A. O., Titah, R., & Léger, P.-M. (2014). Explicit and implicit antecedents of users' behavioral beliefs in information systems: A neuropsychological investigation. Journal of Management Information Systems, 30(4), 179-210.
    Della Bitta, A. J., Monroe, K. B., & McGinnis, J. M. (1981). Consumer perceptions of comparative price advertisements. Journal of marketing research, 416-427.
    Dhar, R., & Nowlis, S. M. (1999). The effect of time pressure on consumer choice deferral. Journal of Consumer Research, 25(4), 369-384.
    Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers' product evaluations. Journal of marketing research, 307-319.
    Dotson, M. J., & Hyatt, E. M. (2000). Religious symbols as peripheral cues in advertising: A replication of the elaboration likelihood model. Journal of Business Research, 48(1), 63-68.
    Duncan Herrington, J., & Capella, L. M. (1995). Shopper reactions to perceived time pressure. International Journal of Retail & Distribution Management, 23(12), 13-20.
    Filieri, R. (2015). What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM. Journal of Business Research, 68(6), 1261-1270.
    Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behaviour: An Introduction to Theory and Research: Addison-Wesley.
    Frazier, M. (2006). How can your package standout, eye tracking looks hard for answers. Advertising Age, 77(42), 14.
    Gerrard, P., & Malcolm, R. (2007). Mechanisms of modafinil: a review of current research. Neuropsychiatric disease and treatment, 3(3), 349.
    Gierl, H., Plantsch, M., & Schweidler, J. (2008). Scarcity effects on sales volume in retail. The International Review of Retail, Distribution and Consumer Research, 18(1), 45-61.
    Goldsmith, R. E., & Emmert, J. (1991). Measuring product category involvement: a multitrait-multimethod study. Journal of Business Research, 23(4), 363-371.
    Grewal, D., Krishnan, R., Baker, J., & Borin, N. (1998). The effect of store name, brand name and price discounts on consumers' evaluations and purchase intentions. Journal of Retailing, 74(3), 331-352.
    Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2009). Multivariate data analysis (Vol. 5): Prentice hall Upper Saddle River, NJ.
    Hughes, J. R. (2008). Gamma, fast, and ultrafast waves of the brain: their relationships with epilepsy and behavior. Epilepsy & Behavior, 13(1), 25-31.
    Iyer, E. S. (1989). Unplanned Purchasing: Knowledge Of Shopping Environment And. Journal of Retailing, 65(1), 40.
    Janiszewski, C. (1998). The influence of display characteristics on visual exploratory search behavior. Journal of Consumer Research, 25(3), 290-301.
    Javal, E. (1878). Essai sur la physiologie de la lecture. Annales d'Ocilistique, 80, 61-73.
    Just, M. A., & Carpenter, P. A. (1976). Eye fixations and cognitive processes. Cognitive psychology, 8(4), 441-480.
    Just, M. A., & Carpenter, P. A. (1980). A theory of reading: From eye fixations to comprehension. Psychological review, 87(4), 329.
    Khushaba, R. N., Wise, C., Kodagoda, S., Louviere, J., Kahn, B. E., & Townsend, C. (2013). Consumer neuroscience: Assessing the brain response to marketing stimuli using electroencephalogram (EEG) and eye tracking. Expert Systems with Applications, 40(9), 3803-3812.
    Kotler, P. (1994). Marketing management, analysis, planning, implementation, and control, Philip Kotler: London: Prentice-Hall International.
    Kotler, P., Keller, K. L., Manceau, D., & Hémonnet-Goujot, A. (2015). Marketing management (Vol. 14): Prentice Hall Englewood Cliffs, NJ.
    Kuan, K. K., Zhong, Y., & Chau, P. Y. (2014). Informational and normative social influence in group-buying: Evidence from self-reported and EEG data. Journal of Management Information Systems, 30(4), 151-178.
    Lallement, J. (2010). The effects of time pressure on information processing. Recherche et applications en marketing (English Edition), 25(4), 45-69.
    Lin, C.-H., & Wu, P.-H. (2005). How to deal with conflicts? The effect of consumers’ subjective time pressure on product attitude judgment and choice. The Journal of American Academy of Business, 6, 219-224.
    Liu, C.-W., Hsieh, A.-Y., Lo, S.-K., & Hwang, Y. (2017). What consumers see when time is running out: Consumers’ browsing behaviors on online shopping websites when under time pressure. Computers in Human Behavior, 70, 391-397.
    Luan, J., Yao, Z., Zhao, F., & Liu, H. (2016). Search product and experience product online reviews: An eye-tracking study on consumers' review search behavior. Computers in Human Behavior, 65, 420-430.
    Maheswaran, D., & Sternthal, B. (1990). The effects of knowledge, motivation, and type of message on ad processing and product judgments. Journal of Consumer Research, 17(1), 66-73.
    Najjar, L. J. (2011). Advances in e-commerce user interface design. Paper presented at the Symposium on Human Interface.
    NeuroSky, I. (2011). mindwave user guide. 
    Novak, T. P., Hoffman, D. L., & Yung, Y.-F. (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing science, 19(1), 22-42.
    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.
    Pavlou, P., Davis, F., & Dimoka, A. (2007). Neuro IS: the potential of cognitive neuroscience for information systems research. ICIS 2007 Proceedings, 122.
    Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. Advances in experimental social psychology, 19, 123-205.
    Philip Kotler, K., Hoon, A., Meng, L., & Tiong, T. (2009). Marketing Management: An Asian Perspective: Prentice Hall Pearson Education South Asia Pte, Singapore.
    Pieters, R., & Warlop, L. (1999). Visual attention during brand choice: The impact of time pressure and task motivation. International Journal of Research in Marketing, 16(1), 1-16.
    Poole, A., Ball, L. J., & Phillips, P. (2005). In search of salience: A response-time and eye-movement analysis of bookmark recognition People and computers XVIII—Design for life (pp. 363-378): Springer.
    Putrevu, S., & Ratchford, B. T. (1997). A model of search behavior with an application to grocery shopping. Journal of Retailing, 73(4), 463-486.
    Raghubir, P., & Corfman, K. (1999). When do price promotions affect pretrial brand evaluations? Journal of marketing research, 211-222.
    Rangaswamy, M., Porjesz, B., Chorlian, D. B., Wang, K., Jones, K. A., Bauer, L. O., . . . Reich, T. (2002). Beta power in the EEG of alcoholics. Biological psychiatry, 52(8), 831-842.
    Schiffman, L. G., & Kanuk, L. L. (2006). Consumer behavior, 9th. NY: Prentice Hall.
    Smith, E. R., & Mackie, D. M. (2000). Social psychology (2nd ed.): Psychology Press.
    Smith, E. R. M., Diane M. (2000). Social psychology (2nd ed.): Psychology Press.
    Svenson, O., & Benson III, L. (1993). Framing and time pressure in decision making. Time pressure and stress in human judgment and decision making, 133-144.
    Tversky, A., & Kahneman, D. (1975). Judgment under uncertainty: Heuristics and biases Utility, probability, and human decision making (pp. 141-162): Springer.
    Vance, A., Anderson, B. B., Kirwan, C. B., & Eargle, D. (2014). Using measures of risk perception to predict information security behavior: Insights from electroencephalography (EEG). Journal of the Association for Information Systems, 15(10), 679.
    Wang, X.-J. (2010). Neurophysiological and computational principles of cortical rhythms in cognition. Physiological reviews, 90(3), 1195-1268.
    Yang, S.-F. (2015). An eye-tracking study of the Elaboration Likelihood Model in online shopping. Electronic Commerce Research and Applications, 14(4), 233-240.
    Zaichkowsky. (1986). Conceptualizing involvement. Journal of Advertising, 15(2), 4-34.
    Zaichkowsky. (1994). The personal involvement inventory: Reduction, revision, and application to advertising. Journal of Advertising, 23(4), 59-70.
    Zaichkowsky, J. L. (1985). Measuring the involvement construct. Journal of Consumer Research, 12(3), 341-352.
    Zhang, W., & Watts, S. (2004). Knowledge adoption in online communities of practice. Systemes d'Information et Management, 9(1), 81.
    網站部分
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    口試委員
  • 陳灯能 - 召集委員
  • 楊淯程 - 委員
  • 梁定澎 - 指導教授
  • 邱兆民 - 指導教授
  • 口試日期 2017-07-31 繳交日期 2017-08-18

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