Department of Business Management, National Taipei University of Technology; Department of Real Estate Management, De Lin Institute of Technology; Graduate Institute of Business Management, National Taipei University of Technology
社群媒體的普及,使得線上品牌社群成為現今最熱門的平台,社群中的成員藉此得知產品資訊,進而影響購買行為。然而,消費環境中的社會影響不僅會發生在有互動的情況下,也會在無互動的情況下發生。本研究從社會影響理論出發,探討社交網站所形成之品牌社群虛擬產品經驗-單純虛擬在場產品經驗(Mere Virtual Presence with Product Experience, MVPE)對品牌態度的影響,並以社交透明度與解釋層級為干擾變數,觀察不同的人格特質與社交透明度,是否會影響消費者的品牌態度及後續的購買行為。本研究結果發現:消費者為高解釋層級者,對於低社交透明度之單純虛擬在場(MVP)的品牌社群會獲得較佳的品牌態度;低解釋層級者對於高社交透明度之單純虛擬在場產品經驗(MVPE)的品牌社群會獲得較佳的品牌態度。
(143_M5d09dbda48ec4_Abs.pdf(檔案不存在))品牌社群、單純虛擬在場產品經驗、社交透明度、解釋層級
This study aimed to discuss two types of interpersonal virtual product experience-Mere Virtual Presence with Product Experience (MVPE) and Mere Virtual Presence (MVP) on advertising effects including brand attitude and purchase intention of online brand community, which moderated by social transparency and construal level. First, the study investigated the advertising effects of different MVPEs. Then, explore the advertising effects of MVPEs under the moderating effects of social transparency and construal level. The results show that: consumers of high construal level prefer low social transparency MVP and consumers of low construal level prefer high social transparency MVPE which have good brand attitude and purchase intention of online brand community as compared to others.
(143_M5d09dbda48ec4_Abs.pdf(檔案不存在))Brand Community, Mere Presence, Mere Virtual Presence with Product Experience, Social Transparency, Construal Level
在許多企業紛紛投入品牌社群經營的社群時代,本研究發現即使其他品牌社群成員非使用直接的文字互動,僅僅以帳號頭像顯示於虛擬社群環境時,仍能夠形成社會影響力,意即,藉由社交媒體平台觀察他人以得到更多資訊,就如同進入人際溝通與社會互動的管道,在影響他人的同時也受到他人的影響。 品牌社群的存在,足以協助消費者形成後續的購買決策,並提供降低購物風險和不確定性的功能。本研究建議企業經營網站時,官網與社群網站兩者應該同時並存、同時經營。實務作法上,企業可從了解品牌支持者之解釋層級加以著手。除了可從品牌個性及其屬性加以分析支持者特質外,另可藉由橫幅廣告(banner)輔以抽獎作為誘因進行問卷了解品牌客戶屬於何種人格特質,藉此衡量個人的解釋層級;然後再進行簡單的隱私偏好調查,探詢使用者對網路隱私公開的意願,如此可區分出消費者的解釋層級類型與社交透明度的偏好,便可據此進行客製化策略,將消費者導引至企業官網或 FB 進行產品訊息的瀏覽。 Facebook及Google+ 這類社群網站有著可以和粉絲即時互動的優點,也將個人資料設置趨向透明化,適合偏好高社交透明度的品牌客戶。若將高社交透明度的消費者導引至此,無論其為高或低解釋層級,均能藉由 MVPE(即呈現會員和產品合照的產品經驗)能夠更直接的感受到品牌支持者所欲傳達的相關訊息,清楚且具體的品牌社群模式能滿足此類型消費者對於了解產品相關經驗的依賴以及心理需求,並使其產生較佳之品牌印象。 而官網可以呈現出企業的整體感覺,適合對外宣佈或公告公司的主要資訊外,對於品牌社群經營模式具有較高的主控權,企業可以為偏好低社交透明度的消費者創造個性化的品牌體驗,將其導引至官網,無論消費者本身屬於高或低解釋層級,即使沒有顯示會員暱稱,品牌社群裡的歷史紀錄或訊息也無法清楚被看見,MVP 仍能滿足這類型消費者的心理需求。
財團法人台灣網路資訊中心,2012,「2012年台灣無線網路使用調查報告」,http://www.twnic.net.tw/NEWS4/119.pdf, accessed on July 27, 2013. (Taiwan Network Information Center, 2012, “Wireless Internet Usage in Taiwan in 2012,” http://www.twnic.net.tw/NEWS4/119.pdf, accessed on July 27, 2013.)
資策會產業情報研究所MIC,2016,「2015台灣網購消費者調查分析」,https://mic.iii.org.tw/aisp/reports.aspx?id=CDOC20160324001,accessed on Octobor 13, 2016. (Market Information Center MIC, 2016, “The Study of Online Consumer Shopping Behavior in 2015”, https://mic.iii.org.tw/aisp/reports.aspx?id=CDOC20160324001,accessed on October 13, 2016.)
劉佳蒨,2014,單純虛擬在場產品經驗與社交虛擬產品經驗之廣告效果,國立台北科技大學工商管理研究所博士論文。(Liu, C. C., 2014, The Advertising Effects of Mere Virtual Presence with Product Experience and Social Virtual Product Experience, Ph. D. Dissertation, National Taipei University of Technology.)
Adams, P., 2011, Grouped: How Small Groups of Friends Are The Key to Influence on The Social Web, 1st, Berkeley, CA: New Riders Press.
Argo, J. J., Dahl, D. W., and Manchanda, R. V., 2005, “The Influence of A Mere Social Presence in A Retail Context,” Journal of Consumer Research, Vol. 32, No. 2, 207-212.
Brennan, I. and Babin, L., 2004, “Brand Placement Recognition,” Journal of Promotion Management, Vol. 10, No. 1, 185-202.
Bertrandias, L. and Goldsmith, R. E., 2006, “Some Psychological Motivations for Fashion Opinion Leadership and Fashion Opinion Seeking,” Journal of Fashion Marketing and Management, Vol. 10, No. 1, 25-40.
Bhattacharya, C. B. and Sen, S., 2003, “Consumer-company Identification :A Framework for Understanding Consumers’ Relationships with Company,” Journal of Marketing, Vol. 67, No. 2, 76-88.
Bhatia, S. and Walasek, L., 2016, “Event Construal and Temporal Distance in Natural Language,” Cognition, Vol. 15, No. 6, 1-8.
Blackwell, R. D, Miniard, P. W., and Engel, J. F., 2012, Consumer Behavior, 1st, Singapore: Cengage Learning.
Boorstin, D. J., 1974, The Americans: The Democratic Experience, 1st, New York, Vintage Books.
Bruckman, A., 1992, Identity Workshops: Emergent Social and Psychological Phenomena in Text-based Virtual Reality, 1st, Camrigdge, MA: MIT Media Laboratory.
Buston, L., 2007, “Social Shopping Roundup for Online Retailer,” http://www.getelastic.com/social-shopping, accessed on November 16, 2013.
Connolly, T., Jessup, L. M., and Valacich, J. S., 1990, “Effects of Anonymity and Evaluative Tone on Idea Generation in Computer-mediated Groups,” Management Science, Vol. 36, No. 6, 689-703.
Daugherty, T., Li, H., and Biocca, F., 2001, “Consumer Learning and The Effects of Virtual Experience Relative to Indirect and Direct Product Experience,” Psychology & Marketing, Vol. 25, No. 7, 568-586.
Dhar, R. and Kim, E. Y., 2007, “Seeing The Forest or The Trees: Implications of Construal Level Theory for Consumer Choice,” Journal of Consumer Psychology, Vol. 17, No. 2, 96-100.
Donthu, N. and Garcia, A., 1999, “The Internet Shopper,” Journal of Advertising Research, Vol. 39, No. 3, 52-58.
Dourish, P. and Bellotti, V., 1992, “Awareness and Coordination in Shared Workspaces,” Proceedings of the ACM Conference on Computer-Supported Cooperative Work CSCW'92 (Toronto, Ontario), New York: ACM, 107-114.
Ducoffe, R. H., 1996, “Advertising Value and Advertising The Web,” Journal of Advertising Research, Vol. 36, No. 5, 21-35.
Fishbein, M. and Ajzen, I., 1975, Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research, 1st, MA: Addison-Wesley Publishing Company.
Fornell, C. and Larcker, D. F., 1981, “Evaluating Structural Equation Models with Unobservable Variables and Measurement Error,” Journal of Marketing Research, Vol. 18, No. 1, 39-50.
Gefen, D. and Straub, D. W., 2004, “Consumer Trust in B2C E-Commerce and The Importance of Social Presence: Experiments in E-Products and E-Services,” The International Journal of Management Science, Vol. 32, No. 6, 407-424.
Gibson, J. J., 1966, The Senses Considered as Perceptual Systems, 1st, Boston: Houghton Mifflin.
Guy, I., Jacovi, M., Perer, A., Ronen, I., and Uziel, E., 2010, “Same Places, Same Things, Same People? Mining User Similarity on Social Media.”, Proceedings of the 2010 ACM Conference on Computer Supported Cooperative Work, New York: ACM, 41-50.
Hair, J. F., Anderson, R. E., Tatham, R. L., and Black, W. C., 1998, Multivariate Data Analysis, 5th, Upper Saddle River, NJ: Prentice-Hall.
Holzwarth, M., Janiszewski, C., and Neumann, M. M., 2006, “The Influence of Avatars on Online Consumer Shopping Behaviorm,” Journal of Marketing, Vol. 70, No. 4, 19-36.
Kane H. S., McCall, C., Collins, N. L., and Blascovich, J., 2012, “Mere Presence Is Not Enough: Responsive Support in A Virtual World,” Journal of Experimental Social Psychology, Vol. 48, No. 1, 37-44.
Keng, C. J., Ting, H. Y., and Chen, Y. T., 2011, “Effects of Virtual-experience Combinations on Consumer-related “Sense of Virtual Community,” Internet Research, Vol. 21, No. 4, 408-434.
Keng, C. J., Liao, T. H., and Yang, Y. I., 2012, “The Effects of Sequential Combinations of Virtual Experience, Direct Experience, and Indirect Experience: The Moderating Roles of Need for Touch and Product Involvement,” Electronic Commerce Research, Vol. 12, No. 2, 177-199.
Keng, C. J. and Liu, C. C., 2013, “Can Avatar and Self-referencing Really Increase the Effects of Online 2-D and 3-D Advertising,” Computers in Human Behavior, Vol. 29, No. 3, 791-802.
Keng, C. J., Pao, C. H., Ting, H. Y., and Chang, N. Y., 2015, “Impact of Machine and Interpersonal Virtual Experience Combinations on Sense of Virtual Community: The Moderating Roles of Optimum Stimulation Level and Motives for Reading Customer Articulations,” Journal of Electronic Commerce Research, Vol. 16, No.1, 34-55.
Keng, C. J., Tran, V. D., Liao, T. H., Yao, C. J., and Hsu, M. K., 2014, “Sequential Combination of Consumer Experiences and Their Impact on Product Knowledge and Brand Attitude: The Moderating Role of Desire for Unique Consumer Products,” Internet Research, Vol. 24, No. 3, 270 - 291.
Kim, H., Schnall, S., and White, M. P., 2013, “Similar Psychological Distance Reduces Temporal Discounting,” Personality and Social Psychology Bulletin, Vol. 39, No. 8, 1005-1016.
Klein, L. R., 1998, “Evaluating The Potential of Interactive Media Through A New Lens: Search Versus Experience Goods,” Journal of Business Research, Vol. 41, No. 3, 195-203.
Latané, B., 1981, “The Psychology of Social Impact,” American Psychologist, Vol. 36, No. 4, 343-356.
Lee, E. J. and Nass, C., 2002, “Experimental Tests of Normative Group Influence and Representation Effects in Computer-mediated Communication: When Interacting Via Computers Differs From Interacting With Computers,” Human Communication Research, Vol. 28, No. 3, 349-381.
Ledgerwood, A., Trope, Y., and Liberman, N., 2015, “Construal Level Theory and Regulatory Scope” in Scott, R. and Kosslyn, S. (eds.), Emerging Trends in the Social and Behavioral Sciences, First Edition, NJ: John Wiley & Sons, 1-10.
Lewis, B. and Porter, L., 2010, “In-Game Advertising Effects: Examining Player Perceptions of Advertising Schema Congruity in a Massively Multiplayer Online Role-Playing Game,” Journal of Interactive Advertising, Vol. 10, No. 2, 46-60.
Li, H., Daugherty, T., and Biocca, F., 2001, “Characteristics of Virtual Experience in Electronic Commerce: A Protocol Analysis,” Journal of Interactive Marketing, Vol. 15, No. 3, 13-30.
Liberman, N. and Trope, Y., 1998, “The Role of Feasibility and Desirability Considerations in Near and Distant Future Decisions: A Test of Temporal Construal Theory,” Journal of Personality and Social Psychology, Vol. 75, No. 1, 5-18.
Lynch, J. and Zauberman, G., 2007, “Construing Consumer Decision Making,” Journal of Consumer Psychology, Vol. 17,No. 2, 107-112.
Muniz, A. M. and O’Guinn, T. C., 2001, “Brand Community,” Journal of Consumer Research, Vol. 27, No. 4, 412-432.
Naylor, R. W., Lamberton, C. P., and West, P. M., 2012, “Beyond The “Like” Button: The Impact of Mere Virtual Presence on Brand Evaluation and Purchase Intentions in Social Media Settings, American Marketing Association,” Journal of Marketing, Vol. 76, No. 6, 105-120.
Parboteeah, D. V., Valacich, J. S., and Wells, J. D., 2009, “The Influence of Website Characteristics on a Consumer's Urge to Buy Impulsively,” Information Systems Research, Vol. 20, No. 1, 60-78
Raman, N. V., 1996, Determinants of Desired Exposure to Interactive Advertising, Ph. D. Dissertation, University of Texas, and Austin, Texas.
Schiffman, L. G. and Kanuk, L. L., 2000, Consumer Behavior, 7th, Upper Saddle River, N.J: Prentice Hall.
Shen, Y., Huang, C., Chu, C., and Liao, H., 2010, “Virtual Community Loyalty: An Interpersonal-interaction Perspective,” International Journal of Electronic Commerce, Vol. 15, No. 1, 49-74.
Snefjella, B. and Kuperman, V., 2015, “Concreteness and Psychological Distance in Natural Language Use,” Psychological Science, Vol. 26, No. 9, 1449-1460.
Sproull, L., Subramani, M., Kiesler, S., Walker, J. H., and Waters, K., 1996, “When The Interface Is A Face,” Human-Computer Interaction, Vol. 11, No. 2, 97-124.
Steuer, J., 1992, “Defining Virtual Reality: Dimensions Determining Telepresence,” Journal of Communication, Vol. 42, No. 4, 73-93.
Stuart, C., Dabbish, L., Kiesler, S., Kinnaird, P., and Kang, R., 2012, “Social Transparency in Networked Information Exchange: A Theoretical Framework.”, Proceedings of the ACM Conference on Computer-Supported Cooperative Work (CSCW 2012), NY, 451-460.
Trope, Y. and Liberman, N., 2003, “Temporal Construal,” Psychol. Rev., Vol. 110, No. 3, 403-421.
Trope, Y., Liberman, N., and Wakslak, C., 2007, “Construal Levels and Psychological Distance: Effects on Representation, Prediction, Evaluation, and Behavior,” Journal of Consumer Psychology, Vol. 17, No. 2, 83-95.
Vallacher, R. R. and Wegner, D. M., 1989, “Levels of Personal Agency: Individual Variation in Action Identification,” Journal of Personality & Social Psychology, Vol. 57, No. 4, 660-671.
Wu, W. Y. and Ke, C. C., 2015, “An Online Shopping Behavior Model Integrating Personality Traits, Perceived Risk, and Technology Acceptance,” Social Behavior & Personality, Vol. 43, No. 1, 85-97.
Young R., 2015, “Source Similarity and Social Media Health Messages: Extending Construal Level Theory to Message Sources,” Cyberpsychology, Behavior, and Social Networking, Vol. 18, No. 9, 547-551.
Zajonc, R. B., 1965, “Social Facilitation,” Science, Vol. 149, No. 3681, 269-274.
Zeithaml, V. A., 1988, “Consumer Perceptions of Price, Quality, and Value: A Means-end Model and Synthesis of Evidence,” Journal of Marketing, Vol. 52, No. 3, 2-22.