| 研究生: |
林佳儀 Lin, Chia-Yi |
|---|---|
| 論文名稱: |
未知品牌產品之消費者態度形成:以產品類別為調節變數 Consumer Attitude toward Unknown Brand Product: Product Category as Moderator |
| 指導教授: |
賴孟寬
Lai, Meng-Kuan |
| 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: | 英文 |
| 論文頁數: | 135 |
| 中文關鍵詞: | 未知品牌產品 、品牌態度 、分享意願 、購買行為 |
| 外文關鍵詞: | unknown brand product, brand attitude, sharing intention, purchase intention |
| 相關次數: | 點閱:115 下載:6 |
| 分享至: |
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由於網路普及,電子商務是一快速成長的產業,同時人們的消費行為也因此有了轉變,大於一半的網路使用者透過網路購買產品(2016),且行動裝置的網路普及率已經超過60%(2017),更代表消費者無時無刻暴露在網路資訊下。對於新興品牌,網路是一成本低且最有效觸及顧客的方式,然而新興品牌經常因為知名度不足,在資訊氾濫的網路中經常被消費者所忽略。
因此本研究將探討如何透過網路平台信任、商品資訊傳達、參照群體、搜尋引擎優化的方式來建立消費者會於未知品牌產品的正向態度,進而使消費者有意願傳播該產品資訊,甚至購買。其中,產品屬性作為本研究的調節變數。研究結果如下:
1. 網路平台信任會使消費者對未知品牌產品產生正向態度,在搜尋性產品與經驗性產品屬性中,搜尋性產品有更顯著的影響。
2. 商品資訊傳達會使消費者對未知品牌產品產生正向態度,搜尋性產品與經驗性產品中,兩者影響並無顯不同。
3. 參照群體會使消費者對未知品牌產品產生正向態度。
4. 搜尋引擎優化會使消費者對未知品牌產品產生正向態度。
5. 正向的態度會促使消費者產生分享資訊及購買的行為。
E-commerce is a fast-growing industry and an unsaturated market these years. U.S Census Bureau News reported that 53% of internet users, over half of them, have made an online purchase in 2016, which obviously changed people’s habits of shopping. Internet is an entrance for people to start their new business. Among a large amount of brands and products shown on the internet, people often just notice and show preference to recognized brand because they subconsciously avoid new things, which was called neophobia (Goldstien, 2007) . In this study, we would like find out a way for unknown brand products to survive in the trend of e-commerce.
Virtual community trust, product message, reference group, and ranking of search engine result page were discussed as dominant factors that influence consumers’ attitude toward make unknown brand products. After people receiving information of unknown brand products around them, they will develop a positive attitude toward the unknown brand products, and still more, they start to voluntarily pass the information along or even trial and purchase the products. The moderator in this study is product category, search and experience product. Firstly, virtual community trust, product message, reference group, and ranking of search engine result page would generate positive effect on attitude toward unknown brand products. Secondly, search products make virtual community trust generate stronger influence on attitude toward unknown brand products. Third, once consumers hold higher attitude toward the unknown brand, they would have higher intention to purchase products from the brand.
Agichtein, E., Castillo, C., Donato, D., Gionis, A., & Mishne, G. (2008). Finding high-quality content in social media. Paper presented at the Proceedings of the 2008 international conference on web search and data mining.
Fishbein, M. (1975). i Ajzen, I.(1975). Belief, Attitude, Intention, and Behaviour: An Introduction to Theory and Research: Addison-Wesley.
Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
Agichtein, E., Castillo, C., Donato, D., Gionis, A., & Mishne, G. (2008). Finding high-quality content in social media. Paper presented at the Proceedings of the 2008 international conference on web search and data mining.
Barbara J. Phillips, Jessica Miller & Edward F. McQuarrie (2015) Dreaming out loud on Pinterest, International Journal of Advertising, 33:4, 633-655, DOI: 10.2501/IJA-33-4-633-655
Bautista, R. G., & Bayang, M. A. (2015). Social Network, Social Trust and Shared-Goals towards Organizational-Knowledge Sharing. American Journal of Educational Research, 3(5), 662-667.
Baye, M. R., De los Santos, B., & Wildenbeest, M. R. (2016). Search Engine Optimization: What Drives Organic Traffic to Retail Sites? Journal of Economics & Management Strategy, 25(1), 6-31.
Bearden, W. O., & Etzel, M. J. (1982). Reference group influence on product and brand purchase decisions. Journal of consumer research, 9(2), 183-194.
Beitzel, S. M., Jensen, E. C., Chowdhury, A., Grossman, D., & Frieder, O. (2004). Hourly analysis of a very large topically categorized web query log. Paper presented at the Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval.
Belk, R. (2007). Why not share rather than own? The Annals of the American Academy of Political and Social Science, 611(1), 126-140.
Bock, G.-W., Zmud, R. W., Kim, Y.-G., & Lee, J.-N. (2005). Behavioral intention formation in knowledge sharing: Examining the roles of extrinsic motivators, social-psychological forces, and organizational climate. MIS quarterly, 87-111.
Bourne, F. S. (1957). Group influence in marketing and public relations. Some applications of behavioral research, 207-255.
Brown, G. E., Jackson, C. D., Joyce, B. J., Chivers, D. P., & Ferrari, M. C. (2016). Risk-induced neophobia: does sensory modality matter? Animal cognition, 19(6), 1143-1150.
Brucks, M. (1985). The effects of product class knowledge on information search behavior. Journal of consumer research, 1-16.
Brush, Thomas H., & Artz, Kendall W. (1999). Toward a contingent resource-based theory: The impact of information asymmetry on the value of capabilities in veterinary medicine. Strategic Management Journal, 20(3), 223–250.
Campbell, M. C., & Keller, K. L. (2003). Brand familiarity and advertising repetition effects. Journal of consumer research, 30(2), 292-304.
Chen, C. W., Chang, M. L., Tseng, C. P., Chen, B. C., & Chang, Y. Y. C. (2013). Critical human factor evaluation of knowledge sharing intention in Taiwanese enterprises. Human Factors and Ergonomics in Manufacturing & Service Industries, 23(2), 95-106.
Cho, C.-H. (2004). Why do people avoid advertising on the internet? Journal of advertising, 33(4), 89-97.
Chow, W. S., & Chan, L. S. (2008). Social network, social trust and shared goals in organizational knowledge sharing. Information & management, 45(7), 458-465.
Christodoulides, G. (2009). Branding in the post-internet era. Marketing theory, 9(1), 141-144.
Darby MR, Karni E. Free competition and the optimal amount of fraud. J Law Econ 1973;16:67–86 (April).
Dhar, R., & Wertenbroch, K. (2000). Consumer choice between hedonic and utilitarian goods. Journal of marketing research, 37(1), 60-71.
Dou, W., Lim, K. H., Su, C., Zhou, N., & Cui, N. (2010). Brand positioning strategy using search engine marketing. MIS quarterly, 261-279.
Drèze, X., & Zufryden, F. (2004). Measurement of online visibility and its impact on Internet traffic. Journal of interactive marketing, 18(1), 20-37.
DuFrene, D. D., Engelland, B. T., Lehman, C. M., & Pearson, R. A. (2005). Changes in consumer attitudes resulting from participation in a permission e-mail campaign. Journal of Current Issues & Research in Advertising, 27(1), 65-77.
Ekelund, R. B., Mixon, F. G., & Ressler, R. W. (1995). Advertising and information: An empirical study of search experience and credence goods. Journal of Economic Studies, 22, 33–43.
Eszter, T. (2008). The Role of Reference Group Influence in Consumer Behaviour. Szechenyi Istvan University.
Fan, Y. (2006). Branding the nation: What is being branded? Journal of vacation marketing, 12(1), 5-14.
Fenko, A., Leufkens, J.-M., & van Hoof, J. J. (2015). New product, familiar taste: Effects of slogans on cognitive and affective responses to an unknown food product among food neophobics and neophilics. Food quality and preference, 39, 268-276.
Fenko, A., Leufkens, J., & Hoof, J. J. (2013). Effects of slogans on acceptance of an unknown food product: The role of food neophobia.
Flynn, L. R., Goldsmith, R. E., & Eastman, J. K. (1996). Opinion leaders and opinion seekers: Two new measurement scales. Journal of the academy of marketing science, 24(2), 137-147.
Ford, G. T., Smith, D. B., & Swasy, J. L. (1988). An empirical test of the search, experience and credence attributes framework. ACR North American Advances.
Frewer, L. J., Howard, C., & Aaron, J. I. (1998). Consumer acceptance of transgenic crops. Pest Management Science, 52(4), 388-393.
Gandal, N. (2001). The dynamics of competition in the internet search engine market. International Journal of Industrial Organization, 19(7), 1103-1117.
Gefen, D., & Straub, D. W. (2000). The relative importance of perceived ease of use in IS adoption: A study of e-commerce adoption. Journal of the association for Information Systems, 1(1), 8.
Gigerenzer, G., & Goldstein, D. G. (2011). The recognition heuristic: A decade of research. Judgment and Decision Making, 6(1), 100.
Girard, T., & Dion, P. (2010). Validating the search, experience, and credence product classification framework. Journal of Business Research, 63(9-10), 1079-1087.
Goldstein, D. G., & Gigerenzer, G. (2002). Models of ecological rationality: the recognition heuristic. Psychological review, 109(1), 75.
Goldstien, D. G. (2007). Getting attention for unrecognized brands. Harvard Business Review, 85(3), 24-25.
Guiltinan, Joseph P. (1987). The price bundling of services: A normative framework. Journal of Marketing, 51(2), 74–85.
Ha, J. Y., & Jang, S. C. (2010). Perceived values, satisfaction, and behavioral intentions: the role of familiarity in Korean restaurants. International Journal of Hospitality Management, 29(1), 2-13. doi:10.1016/j.ijhm.2009.03.009
Haas, A., & Unkel, J. (2017). Ranking versus reputation: perception and effects of search result credibility. Behaviour & Information Technology, 36(12), 1285-1298.
Hansen, T., Jensen, J. M., & Solgaard, H. S. (2004). Predicting online grocery buying intention: a comparison of the theory of reasoned action and the theory of planned behavior. International Journal of Information Management, 24(6), 539-550.
Hartmann, P., & Apaolaza-Ibáñez, V. (2012). Consumer attitude and purchase intention toward green energy brands: The roles of psychological benefits and environmental concern. Journal of Business Research, 65(9), 1254-1263.
Hilligoss, B., & Rieh, S. Y. (2008). Developing a unifying framework of credibility assessment: Construct, heuristics, and interaction in context. Information Processing & Management, 44(4), 1467-1484.
Hofstede, G. (1991). Cultures and organizations. Intercultural cooperation and its importance for survival. Software of the mind. London: Mc Iraw-Hill.
Holliman, G., & Rowley, J. (2014). Business to business digital content marketing: marketers’ perceptions of best practice. Journal of Research in Interactive Marketing, 8(4), 269-293.
HoRVAT, S. (2011). Influence of consumer and category characteristics on private label atittudes and purchase intention in emerging market: a conceptual model. International Journal of Management Cases, 13(4), 191-198.
Hsieh, Y.-C., Chiu, H.-C., & Chiang, M.-Y. (2005). Maintaining a committed online customer: A study across search-experience-credence products. Journal of Retailing, 81(1), 75-82.
Im, I., Kim, Y., & Han, H.-J. (2008). The effects of perceived risk and technology type on users’ acceptance of technologies. Information & Management, 45(1), 1-9.
Inbound Marketing in 2017 – 5 Trends to Keep Your Eyes On (2017). Retrieved June 2, 2018, from https://www.tenfold.com/marketing/inbound-marketing-trends-in-2017/
Jansen, B., & Spink, A. (2003). An analysis of web information seeking and use: documents retrieved versus documents viewed. Paper presented at the Proceedings of the 4th international conference on Internet computing.
Jayawardhena, C., Kuckertz, A., Karjaluoto, H., & Kautonen, T. (2009). Antecedents to permission based mobile marketing: an initial examination. European Journal of Marketing, 43(3/4), 473-499.
Johnston, K. L., & White, K. M. (2003). Binge-drinking: A test of the role of group norms in the theory of planned behaviour. Psychology and Health, 18(1), 63-77.
Jung, J. M., & Kellaris, J. J. (2004). Cross‐national differences in proneness to scarcity effects: The moderating roles of familiarity, uncertainty avoidance, and need for cognitive closure. Psychology & Marketing, 21(9), 739-753.
Kaphingst, K., DeJong, W., Rudd, R., & Daltroy, L. (2004). A content analysis of direct-to-consumer television prescription drug advertisements. Journal of Health Communication, 9(6), 515-528.
Kaphingst, K. A., DeJong, W., Rudd, R. E., & Daltroy, L. H. (2004). A content analysis of direct-to-consumer television prescription drug advertisements. Journal of Health Communication.
Karsaklian, E. (2010). When The Packaging Tells More About The Unfamiliar Brands: A Cross-Cultural Research With American and French Consumers.
Kent, R., & Brandal, H. (2003). Improving email response in a permission marketing context. International Journal of Market Research, 45(4), 489-506.
Klein, Lisa R. (1998). Evaluating the potential of interactive media through a new lens: Search versus experience goods. Journal of Business Research, 41(3), 195–203.
Klerck, D., & Sweeney, J. C. (2007). The effect of knowledge types on consumer‐perceived risk and adoption of genetically modified foods. Psychology & Marketing, 24(2), 171-193.
Koetsier, J. (2017). Data Deluge: What People Do on the Internet, Every Minute of Every Day. Retrieved June 2, 2018, from https://www.inc.com/john-koetsier/every-minute-on-the-internet-2017-new-numbers-to-b.html
Kwok, S. H., & Gao, S. (2005). Attitude towards knowledge sharing behavior. Journal of Computer Information Systems, 46(2), 45-51.
Laroche, M., Kim, C., & Zhou, L. (1996). Brand familiarity and confidence as determinants of purchase intention: An empirical test in a multiple brand context. Journal of Business research, 37(2), 115-120.
Larsson, A.O. (2017). The News User on Social Media: A comparative study of interacting with media organizations on Facebook and Instagram. Retrieved June 2, 2018, from https://www.researchgate.net/publication/316940455_The_News_User_on_Social_Media_A_comparative_study_of_interacting_with_media_organizations_on_Facebook_and_Instagram
Leufkens, J.M. (2012). Tackling food for neophobia: investigation of a mixed slogan approach to facilitate the introduction of unknown food products. University of Twente.
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.
Looking to Achieve New Product Success? Listen to Your Consumers (June, 2015). Retrieved June 2, 2018, from http://www.nielsen.com/content/dam/nielsenglobal/dk/docs/Nielsen%20Global%20New%20Product%20Innovation%20Report%20June%202015.pdf
Lovelock, Christopher H. (2001). Services marketing: People, technology strategy (4th ed.). Upper Saddle River, NJ: Prentice Hall.
Low, G. S., & Lamb Jr, C. W. (2000). The measurement and dimensionality of brand associations. Journal of Product & Brand Management, 9(6), 350-370.
Lu, Y., Zhou, T., & Wang, B. (2009). Exploring Chinese users’ acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory. Computers in human behavior, 25(1), 29-39.
Mankiw, N. G. (1982). Hall's consumption hypothesis and durable goods. Journal of Monetary Economics, 10(3), 417-425.
McCarthy, M. S., & Norris, D. G. (1999). Improving competitive position using branded ingredients. Journal of Product & Brand Management, 8(4), 267-285.
McKnight, D. H., & Chervany, N. L. (2001). What trust means in e-commerce customer relationships: An interdisciplinary conceptual typology. International journal of electronic commerce, 6(2), 35-59.
Moisander, J. (1991). Sosiaaliset arvot luomutuotteiden kulutuksessa. Helsingin kauppakorkeakoulu
Morrin, M., & Ratneshwar, S. (2000). The impact of ambient scent on evaluation, attention, and memory for familiar and unfamiliar brands. Journal of Business research, 49(2), 157-165.
Nelson, P. (1970). Information and consumer behavior. Journal of political economy, 78(2), 311-329.
Nelson, P. (1974). Advertising as information. Journal of Political Economy, 82, 729–754.
Niinimäki, K. (2010). Eco‐clothing, consumer identity and ideology. Sustainable development, 18(3), 150-162.
Park, C. W., Mothersbaugh, D. L., & Feick, L. (1994). Consumer knowledge assessment. Journal of consumer research, 21(1), 71-82.
Pavlou, P. A., & Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS quarterly, 115-143.
Pavlov, O. V., Melville, N., & Plice, R. K. (2008). Toward a sustainable email marketing infrastructure. Journal of Business research, 61(11), 1191-1199.
Pieters, R., Warlop, L., & Wedel, M. (2002). Breaking through the clutter: Benefits of advertisement originality and familiarity for brand attention and memory. Management Science, 48(6), 765-781.
Kallas, P. (2018, May 22) Top 15 Most Popular Social Networking Sites and Apps [May 2018] Retrieved June 4, 2018, from https://www.dreamgrow.com/top-15-most-popular-social-networking-sites/
Punj, G. N., & Staelin, R. (1983). A model of consumer information search behavior for
new automobiles. Journal of consumer research, 9(4), 366-380.
Purcell, K (2011, August 9) Search and email still top the list of most popular online
activities. Pew Research Center. Retrieved June 4, 2018, from http://www.pewinternet.org/files/old-media/Files/Reports/2011/PIP_Search-and-Email.pdf
Rettie, R. (2002). Email marketing: success factors.
Rizwan, M., Qayyum, M., Qadeer, W., & Javed, M. (2014). The impact on branded product on consumer purchase intentions. Journal of public Administration and Governance, 4(3), 57-74.
Rowley, J. (2004). Online branding. Online information review, 28(2), 131-138.
Rowley, J. E. (2002). Reflections on customer knowledge management in e-business. Qualitative Market Research: An International Journal, 5(4), 268-280.
Rutz, O. J., & Bucklin, R. E. (2011). From generic to branded: A model of spillover in paid search advertising. Journal of Marketing Research, 48(1), 87-102.
Ryu, S., Ho, S. H., & Han, I. (2003). Knowledge sharing behavior of physicians in hospitals. Expert Systems with applications, 25(1), 113-122.
Sirfraz, M., Sabir, H. M., & Naz, H. N. (2014). How Attitude Influences the Customers’ Buying Intentions for Counterfeit Tablet PC: A Study of a Computer Market in Central Punjab, Pakistan. Studies, 3(2).
Teng, L., Laroche, M., & Zhu, H. (2007). The effects of multiple-ads and multiple-brands on consumer attitude and purchase behavior. Journal of consumer Marketing, 24(1), 27-35.
Tuorila, H., Lähteenmäki, L., Pohjalainen, L., & Lotti, L. (2001). Food neophobia among the Finns and related responses to familiar and unfamiliar foods. Food quality and preference, 12(1), 29-37.
Types of searches: transactional, navigational, informational. (n.d.). Retrieved June 2, 2018, from https://www.textbroker.com/types-searches-transactional-navigational-informational
William, T., & Hickey, J. (2005). Society in focus: Boston, MA: Pearson.
Wu, J.-J., Chen, Y.-H., & Chung, Y.-S. (2010). Trust factors influencing virtual community members: A study of transaction communities. Journal of Business Research, 63(9-10), 1025-1032.
Yeon Kim, H., & Chung, J.-E. (2011). Consumer purchase intention for organic personal care products. Journal of consumer Marketing, 28(1), 40-47.
校內:2023-01-01公開