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姓名 蔡易庭(Yi-ting Tsai) 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 104學年第2學期
論文名稱(中) 購物牆效益影響因素之研究
論文名稱(英) Factors influencing the Benefit of Shopping Walls
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    紙本論文:2 年後公開 (2018-09-03 公開)

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    論文語文/頁數 中文/95
    統計 本論文已被瀏覽 5383 次,被下載 2 次
    摘要(中) 購物牆的行銷模式是利用廣告看板,放上許多要販售的商品,讓路過的消費者可以用手機掃描QR-code直接下單購買,不需要再花許多時間逛街購物,更可以運用瑣碎的時間。這樣的行銷手法,被認為是電子商務虛實整合的有效方式之一,在實務上有些成功但是也有失敗的案例。例如,順豐物流在中國開設了購物牆的專門商店,但是最終以失敗收場。但在韓國,HomePlus超市在地鐵站擺設的購物牆,卻讓HomePlus的成長超乎預期。近幾年台灣的企業也投入資源來測試購物牆這個模式,但是大多以失敗收場。例如,7-11統一企業曾經引進了購物牆在便利商店的實體店內展示,效果卻不如預期。不過近年PCHome也在台北設置了購物牆這樣的行銷模式,配合旗下Pi子公司的數位錢包,讓PCHome的購物牆購物更方便。
      所以本研究以這種新的行銷模式,購物牆為研究目標,探討消費者在不同的情境下,對於在購物牆選擇的商品、對於購物牆的瀏覽意圖、購物牆商品的購買意圖,是否會因為不同的情境或是商品因素有差異性,並且找出在商品與情境交互作用影響下,是高適配性的購物牆環境展示情境,和高適配性之商品。
      因此,本研究的目的在由消費者的角度,分析對購物牆模式的成功因素,分別利用網路問卷及現場實驗的兩種實驗方式來蒐集資料。現場實驗是透過和FamilyMart合作。研究結果發現在研究中所設置的公共環境情境、交通環境情境、工作環境情境,對於消費這來說是適合展示購物牆的,而研究也發現在這些情境下,沖泡麵食、鋁箔包裝飲品、可口可樂罐裝飲品、洋芋片這些商品,消費者有興趣的比例也是非常高的。
    摘要(英) Shopping walls is an e-commerce model that puts product information on the shopping wall so that consumers can purchase by scanning associated QR-codes. So customers can save their time to shopping. Some success cases have been reported but there are also failed cases. For example, the S.F. Express in China set up many shopping-wall based stores but was not successful. HomePlus supermarkets in Korea, on the other hand, set up shopping walls in subway stations to successfully increase revenues. In Taiwan, many corporations invest resources to try the shopping wall model, but most of them failed. For instance, 7-11 had tried the shopping wall but were not successful. Recent years, PCHome also set up shopping walls and used their digital wallet to make the shopping process more convenient.
       The purpose of this study is to examine factors that influence the effect of the shopping wall model, two experiments were designed to collect data; one is a questionnaire survey to collect data in simulated scenarios, while the other uses actual shopping walls to collect real shopping data. Findings from these experiments include: public place, transportation station, and working place are more suitable for shopping walls. We also found that instant noodles, milk tea retort pouch , cola canned drinks , potato chips are more suitable for these environments.
    關鍵字(中)
  • 購物牆
  • 瀏覽動機
  • 瀏覽意圖
  • 情境
  • 購買意圖
  • 關鍵字(英)
  • browsing motivation
  • shopping walls
  • environment
  • browsing intention
  • purchase intention
  • 論文目次 論文審定書 ............................................................... i
    致謝詞 .................................................................. ii
    中文摘要 ............................................................... iii
    Abstract ................................................................ iv
    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 研究動機與研究問題 .............................................. 2
    第三節 研究流程 ........................................................ 4
    第二章 文獻探討 .......................................................... 5
    第一節 影響購物的因素 .................................................. 5
    第二節 購物的情境理論 .................................................. 7
    第三節 適配性 .......................................................... 9
    第四節 情境特徵 ....................................................... 11
    第五節 瀏覽動機 ....................................................... 12
    第六節 商品因素 ....................................................... 14
    第七節 效果衡量 ....................................................... 15
    第三章 研究架構與研究方法 ............................................... 18
    第一節 研究架構 ....................................................... 18
    第二節 推論與假說 ..................................................... 19
    第三節 操作性定義 ..................................................... 21
    第四節 實驗設計 ....................................................... 23
    第五節 前測 ........................................................... 27
    第六節 正式實驗(實驗一) .............................................. 42
    第七節 正式實驗(實驗二) ............................................... 43
    第四章 研究結果與分析-實驗一 ............................................ 44
    第一節 樣本結構 ....................................................... 45
    第二節 敘述統計分析 ................................................... 47
    第五章 研究結果與分析-實驗二 ............................................ 51
    第一節 樣本結構 ....................................................... 51
    第二節 信度分析 ....................................................... 52
    第三節 效度分析 ....................................................... 53
    第四節 敘述統計分析 ................................................... 55
    第五節 資料分析與討論 ................................................. 59
    第六章 結論 ............................................................. 70
    第一節 結論 ........................................................... 70
    第二節 研究限制與建議 ................................................. 73
    第三節 研究貢獻 ....................................................... 74
    Reference ............................................................... 75
    附錄 實驗問卷 .......................................................... 80
    參考文獻 Arnold, M. J., & Reynolds, K. E. (2003). Hedonic shopping motivations. Journal of Retailing, 79, 77-95.
    Assel, H. (1995). Consumer Behavior and Marketing Action. Cincinnati, OH:South-Westen College Publishing.
    Babin, B. J., & Darden, W. R. (1995). Consumer self-regulation in a retail environment. Journal of Retail, 71, 47-70.
    Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or fun: measuring hedonic and utilitarian shopping value. Journal of Consumer Research, 20(644-656).
    Beldona, Srikanth, Morrison, M, A., O'Leary, & Joseph. (2005). Online shopping motivations and pleasure travel products: a correspondence analysis. ourism Management, 561-570.
    Ben-Zur, Hasida, & Breznitz, S. J. (1981). The Effect of Time Pressure on Risky Choice Behavior. Acta Psychologica, 47, 89-104.
    Burke, R. R. (1997). Do you see what I see ? The future of virtual shopping. Journal of the Academy of Marketing Science, 25, 352-360.
    Byun, S. E., & Mann, M. (2011). The influence of others: the impact of perceived human crowding on perceived competition, emotions, and hedonic shopping value. Clothing and Textiles Research Journal, 1-14.
    C., S. G. (2014). The Effect of Online Promotion Message on Consumer's Purchase Intention:Perspective from Framing Effect, Regulatory Focus and Timing of Redeeming Incentives.
    Cardoso, P. R., & Pinto, S. C. (2010). Hedonic and utilitarian shopping motivations among Portuguese young adult consumers. International Journal of Retail & Distribition Management, 38, 538-558.
    Close, A. G., & Kukar-Kinney, M. (2009). Beyond buying: Motivations behind consumers' online shopping cart use. Journal of Business Research, 63(9-10), 986-992.
    Copeland, M. T. (1923). The Relation of Consumer's Buying Habits to Marketing Methods. Harvard Business Review, 282-289.
    Dawson, D., Bloch, P. H., & Ridgway, N. M. (1990). shopping motives, emotional states, and retail outcomes. Journal of Retailing, 66, 408-427.
    Dhar, & Ravi. (1997). Consumer Preference for a No-Choice Option. Journal of Consumer Research, 24, 215-231.
    Dholakia, R. (1999). Going shopping : key determinants of shopping behaviors and motivaitons. International Journal of Retail & Distribition Management, 27, 140-165.
    Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price,brand,and store information on buyers' product evaluations. Journal of Marketing Research, 28, 307-319.
    Edland, A., & Svenson, O. (1993). Judgement and Decision Making under Time Pressure. New York:Plenum, 27-40.
    Engel, J. F., Blackwell, R. D., & Miniard, P. W. (1995). Consumer Behavior.
    Eroglu, S. A., & Machleit, K. A. (1990). An empirical study of retail crowding: antecedents and consequences. Journal of Retail, 66, 201-221.
    Fishbein, M., & Ajzen , I. (1975). Belief ,Attitude, Intention and Behavior : An Introduction to Theory and Research.
    Garbarino, E., & Johnson, S. M. (1999). The Different Roles of Satisfaction, Trust, and Commitment in Customer Relationships. Journal of Marketing, 63, 70-87.
    Graa, A., & Dani-elKebir, M. (2011). Situational Factors Influencing Impulse Buying Behavior of Algerian Consumer.
    Grewal, D., Gopalkrishnan, R. I., Krishnan, R., & Sharma, A. (2003). The internet and the price-value chain. Journal of Business Research, 56, 391-398.
    Griffin, & Jill. (1996). The Internet’s Expanding Role in Building Customer Loyalty. Direct Marketing Garden City, 50-53.
    HagelIII, John, & Armstrong, A. G. (1997). Net Gain:Expanding Market Through Virtual Communites,Harvard Business School Press, Boston. .
    Hastie, R. (1980). Memory for Behavioral Information that Confirms or Contradicts a Personality Impression.
    Hawkins, D., Best, R. J., & Coney, K. A. (1995). Consumer Behavior, Implication for Marketing Strategy.
    Herr, P. M., Kardes, F. R., & Kim, J. (1991). Effects of word-of-mouth and product-attribute information on persuasion : An accessibility- diagnosticity perspective. Journal of Consumer Research, 454-462.
    Holbrook, B., M., & Howard, J. A. (1977). Frequently Purchased Nondurable Goods and Services. Selected Aspects of Consumer Behavior, 189-222.
    Howard, J. A., & Jadish, N. S. (1969). The theory of Buyer Behavior. New York,NY:Wiley.
    Hui, M. K., & Bateson, J. E. G. (1991). Perceived control and the effects of crowding and consumer choice on the service experienc. Journal of Consumer Research, 18, 174-184.
    Jarvepaa, S. L., & Todd, P. A. (1997). Consumer reactions to electionic shopping on the world wide web. International Journal of Electronic Commerce, 1, 59-88.
    Jones, A., & Issroff, K. (2007). Motivation and mobile devices: exploring the role of appropriation and coping strategies. Research in Learning Technology, 15, 59-88.
    Khorrami, M. S., Esfidani, M. R., & Delavari, S. (2015). The Effect of Situational Factors on Impulse Buying and Compulsive Buying: Clothing. International Journal of Management, Accounting and Economics, 2.
    Kim, C., Li, W., & Kim, D. J. (2015). An Empirical Analysis of Factors Influencing M-Shopping Use. Journal of Human–Computer Interaction, 974-994.
    Kim, H. S. (2006). Using hedonic and utilitarian shopping motivation to profile inner city consumers. Journal of Shopping Center Reasearch, 13, 58-79.
    Kim, Y.-K. (2002). Consumer value : an application to mall and internet shopping. International Journal of Retail & Distribition Management, 30, 595-604.
    Kotler, P. (2000). Marketing management: Analysis, planning, implementation and control.
    Kursan, I., & Mihić, M. (2010). ASSESSING THE SITUATIONAL FACTORS AND IMPULSIVE BUYING BEHAVIOR: MARKET SEGMENTATION APPROACH Marketing, 15, 47-66.
    Lavidge, R. J., & Steiner, G. A. (1961). A model for predictive measurements of advertising effectiveness. Journal of Marketing, 59-62.
    M.Hassan, A., B.Kunz, M., W.Pearson, A., & A.Mohamed, F. (2006). CONCEPTUALIZATION AND MEASUREMENT OF PERCEIVED RISK IN ONLINE SHOPPING. Marketing Management Journal, 16(4), 138-147.
    Machleit, K. A., Eroglu, S. A., & Mantel, S. P. (2000). Perceived retail crowding and shopping satisfaction. Journal of Consumer Psychology, 29-42.
    MacKenzie, S. B., Lutz, R. J., & Belch, G. E. (1986). The role of attitude toward the ad as a mediator of advertising effectiveness: A test of competing explanations. Journal of Marketing Research, 130-143.
    Mathwick, C., Malhotra, N., & Rigdon., E. (2001). Experiential value: conceptualization measurement, and application in the catalog and internet shopping environment. Journal of Retailing, 77, 39-56.
    Mehrabian, A., & Russell, J. A. (1974). Cambridge, MA, US: The MIT Press An approach to environmental psychology.
    Nelson, P. (1970). Information and Consumer Behavior. Journal of Political Economy, 311-329.
    Norris, C. E., & Colman, A. M. (1992). Context effects on recall and recognition of magazine ads. Journal of Advertising, 21, 37-46.
    Ono, A., Nakamura, A., Okuno, A., & Sumikawa, M. (2012). Consumer motivations in browsing online stores with mobile devices. . International Journal of Electronic Commerce, 16, 153-177.
    Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A Conceptual Model of Service Quality and Its Implications for Future Research. . Journal of Marketing, 49, 41-50.
    payne, W., J., Bettman, J. R., & Johnson, E. J. (1988). Adaptive Strategy Selection in Decision Marking. journal of Experimental Psychology, 534-552.
    Rompay, T. J. L. v., Tanja-Dijkstra, K., Verhoeven, J. W. M., & Es, A. F. v. (2012). On Store Design and Consumer Motivation: Spatial Control and Arousal in the Retail Context.
    Schiffman, W. L., & Kaunk, L. L. (2000). Consumer Behavior. New Jersey : Prentice-Hall.
    Smith, D. C., & Park, C. W. (1992). The Effects of Brand Extension on Market Share andAdvertising Efficiency. Journal of Marketing Research, 296-313.
    Srull, T. K. (1981). Person Memory: Some Tests of Associative Storage and Retrieval Models. Journal of Experimental Psychology: Human Learning and Memory, 440-463.
    Svenson, O., Edland, A., & Slovic, P. (1990). Choices and Judgements of Incompletely Described Decision Alternatives under Time Pressure. Acta Psychologica, 75, 153-169.
    Syzmanski, D. M., & Hise, R. T. (2000). E-satisfaction : an initial examination. Journal of Retailing, 76, 309-322.
    Tauber, E. M. (1972). Why do people shop? Journal of Marketing, 36, 46-59.
    Taylor, S. E., & Fiske, S. T. (1978). Salience, Attention and Attribution: Top of the Head Phenomena. Advances in Experimental Social Psychology, 249-288.
    Teo, T. (2001). Demographic and motivation variables associated with internet usage activities. Internet Reasearch, 11, 125-137.
    Turleya, L. W., & Millimanb, R. E. (2000). Atmospheric Effects on Shopping Behavior: A Review of the Experimental Evidence. Journal of Business Research, 49(2), 193-211.
    Vaughn, R. (1980). How advertising works: A planning model. . Journal of advertising research.
    Wells, D. W., & Prensky, D. (1996). Consumer behavior. New York : J.Wiley.
    Westbrook, R. A., & Black, W. C. (1985). A motivation-based shopper typology. Journal of Retailing, 61, 78-103.
    Wolfinbarger, M., & Gilly, M. C. (2001). Shopping online for freedom, control, and fun. California Management Review, 43, 34-55.
    Wright, P. (1974). The Harassed Decision Maker:Time Pressures,Distractions,and Use of Evidence. Journal of Applied Psychology, 59, 555-561.
    Yang, K., & Kim., H. J. (2012). Mobile shopping motivation: as application of multiple discriminant analysis. nternational Journal of Retail & Distribution Management,, 40, 778-789.
    RenéV Dawis, Lloyd H Lofquist (1987) Measurement of person-environment fit and prediction of satisfaction in the theory of work adjustmentJournal of Vocational Behavior.Volume 31, Issue 3, December 1987, Pages 297-318.
    Lee CC, Cheng HK, Cheng HH. 2007. An empirical study of mobile commerce in insurance industry: task-technology fit and individual differences. Decision Support Systems 43(1): 95-110
    Sevgin A. Eroglu , Karen A. Machleit, Lenita M. Davis.(2001) Atmospheric qualities of online retailing: A conceptual model and implications. Journal of Business Research Volume 54, Issue 2, November 2001, Pages 177–184
    Dale L. Goodhue and Ronald L. Thompson.(1995) Task-Technology Fit and Individual Performance. MIS Quarterly.Vol. 19, No. 2 (Jun., 1995), pp. 213-236
    Young Dong Jang.(2015) Effects of Mobile Shopping Characteristics on Purchase Intention in a Smart Media Environment. Journal of Marketing Thought, 2015, Vol. 2, No. 2, 60 - 72
    Choon Ling Kwek, Hoi Piew Tan, Teck-Chai Lau.(2010) Investigating the Shopping Orientations on Online Purchase Intention in the e-Commerce Environment: A Malaysian Study. Journal of Internet Banking & Commerce,
    Ming-Yi Chen • Ching-I Teng.(2013) A comprehensive model of the effects of online store image on purchase intention in an e-commerce environment. Electron Commer Res (2013) 13:1–23
    Brown,M.,Pope,N.and Voges,K.(2003),"Buy or Browsing? An exploration of shopping orientations and online purchase intention,"European Journal of Marketing,Vol.37,No.11,pp.1666-1684
    Liaw,G.F.,Zhu,Z.W.and Lee,Y.H.(2005),"The effects of rish reduction strategies on consumer's rish perceptions and online purchase intention,"Pan-Pacific Management Review,Vol.8,No.1,pp.1-37
    Bloch, P.H.; Ridgway, N.M.; and Sherrell, D.L. Extending the concept of shopping: An investigation of browsing activity. Journal of the Academy of Marketing Science, 17, 1 (Winter 1989), 13–21.
    Bloch, P.H., and Richins, M.L. Shopping without purchase: An investigation of consumer browsing behavior. In R.P. Bagozzi and A.M. Tybout (eds.), Advances in Consumer Research, vol. 10. Duluth, MN: Association for Consumer Research, (1983), pp. 389–393
    口試委員
  • 邱兆民 - 召集委員
  • 許佳龍 - 委員
  • 梁定澎 - 指導教授
  • 口試日期 2016-07-26 繳交日期 2016-09-03

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