:::

詳目顯示

回上一頁
題名:行動社群口碑行銷影響效果之研究
作者:唐運佳 引用關係
作者(外文):Tang, Yun Chia
校院名稱:國立清華大學
系所名稱:科技管理研究所
指導教授:丘宏昌
學位類別:博士
出版日期:2017
主題關鍵詞:口碑社群媒體打卡SoLoMo廣告效果Word of mouthSocial mediaCheck-in servicesSoLoMo communicationAdvertising effect
原始連結:連回原系統網址new window
相關次數:
  • 被引用次數被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:0
  • 共同引用共同引用:0
  • 點閱點閱:0
口碑行銷研究領域一直以來都是行銷領域常常探討的議題,隨著行動科技的進步,現在有越來越多人發現行動社群口碑行銷對於社會影響力及重要性。然而,在此背景之下,發現有一些可以進一步探討的現象與機會,例如:社群媒體打卡行為,以及溝通因子的廣告效果等。
有鑑於此,本論文在電子商務背景下,將以三個部份分別探討:1.在口碑行銷活動中,對於使用者在社群媒體上分享訊息意願的影響因子有哪些,這些因子又具備那些特性。2.在社群媒體中,打卡行為與顧客感知價格及購買決策的關係為何。3.行動廣告下,有哪些因子具備影響性,以及如何在不同產品類別下,在社群媒體中設計出有效的行動廣告。
最後,本研究結果將提供行銷者在行動社群媒體中,有效的學術與管理實務之建議及未來研究的方向。
Word-of-mouth communication (WOM) is considered as an important issue for marketing researchers. Nowadays, because of the increasing trend of the mobile commerce, more and more marketers also notice the power of mobile-social word-of-mouth marketing. Through the positive WOM to influence other potential customers has been considered as an effective marketing mode. As more and more marketers incorporate social media as an integral part to align engagement strategy in consumers' electronic WOM (e-WOM), the mobile-social word-of-mouth marketing has emerged.
However, in the context of mobile-social WOM, it is still not clear how these factors works and only limited research has been published regarding e-WOM communication on social media, and few studies explore the effects of check-in service and to investigate this scope at the perspective of mobile advertising elements toward advertising effect.
Hence, this dissertation intends to explore the roles and influences of mobile word-of-mouth marketing in social media community. Also, by studying the influences of mobile-social word-of-mouth marketing, this dissertation will recruit mobile and online social media respondents, and divide into three studies. Study 1 investigates the determinants of consumers' intention to share marketing information on the social media. The results suggest that tie strength, contents with utilitarian value and hedonic value, characteristic of the audiences and transmission channel affects the willing to share information significantly. This study also intends to produce findings that deserve considerable attention from marketers seeking to implement e-WOM campaigns on social media. Study 2 focuses on the effects of SoLoMo features during check-in, the results indicate that self-disclosure, expressive support, and self-congruity positively relate to utilitarian value; instrumental support positively relates to hedonic value; and both hedonic and utilitarian values positively relate to continuance intention and re-patronage intention. However, sales promotion has no significant influence on both hedonic and utilitarian check-in values. These findings provide managerial implications for practitioners who want to design check-in services to attract or communicate with consumers. Study 3 investigates that the four main factors (entertainment, infrmativeness, credibility and personalization) of mobile advertising toward advertising effect are discussed under different context of product type (search/ experience product). The results show that among higher proportion of all main attributes in SoLoMo communication, search products will generate higher advertising effect than experience products. Finally, the implications of the findings from three studies for both academic and practitioner are discussed.
Aaker, D. A. (1992). The value of brand equity. Journal of business strategy, 13(4), 27-32.
Ailawadi, K. L., Neslin, S. A., & Gedenk, K. (2001). Pursuing the value-conscious consumer: store brands versus national brand promotions. Journal of Marketing, 65(1), 71-89.
Ajzen, I. (1992). Persuasive communication theory in social psychology: a historical perspective. Influencing human behavior, 1-27.
Allsop, D. T., Bassett, B. R., & Hoskins, J. A. (2007). Word-of-mouth research: principles and applications. Journal of advertising research, 47(4), 398-411.
Alreck, P. L., & Settle, R. B. (1995). The importance of word-of-mouth communications to service buyers. Paper presented at the Proceedings of American Marketing Association.
Arndt, J. (1967). Role of product-related conversations in the diffusion of a new product. Journal of marketing Research, 291-295.
Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or fun: measuring hedonic and utilitarian shopping value. Journal of consumer research, 644-656.
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the academy of Marketing Science, 16(1), 74-94.
Bansal, H. S., & Voyer, P. A. (2000). Word-of-mouth processes within a services purchase decision context. Journal of service research, 3(2), 166-177.
Barnes, S. J., & Scornavacca, E. (2004). Mobile marketing: the role of permission and acceptance. International Journal of Mobile Communications, 2(2), 128-139.
Bashein, B. J., & Markus, M. L. (1997). A credibility equation for IT specialists. MIT Sloan Management Review, 38(4), 35.
Bettman, J. R. (1979). Information processing theory of consumer choice. Addison-Wesley Pub. Co..
Boulding, W., Moore, M. C., Staelin, R., Corfman, K. P., Dickson, P. R., Fitzsimons, G., ... & Weitz, B. A. (1994). Understanding managers' strategic decision-making process. Marketing Letters, 5(4), 413-426.
Brackett, L. K., & Carr, B. N. (2001). Cyberspace advertising vs. other media: Consumer vs. mature student attitudes. Journal of Advertising Research, 41, 23–32.
Breazeale, M., & Ponder, N. (2013) Get the picture? Visual servicescapes and self-image congruity. Journal of Business Research, 66(7), 839-846.
Brown, J. J., & Reingen, P. H. (1987). Social ties and word-of-mouth referral behavior. Journal of consumer research, 350-362.
Brown, W. S., & Palvia, P. (2015). Are mobile devices threatening your work-life balance?. International Journal of Mobile Communications, 13(3), 317-338.
Cave, M. (1985), Market models and consumer protection. Journal of Consumer Policy, 8(4), 335‐351.
Chandon, P., Wansink, B., & Laurent, G. (2000). A benefit congruency framework of sales promotion effectiveness. Journal of Marketing, 64(4), 65-81.
Charney, T., & Greenberg, B. S. (2002). Uses and gratifications of the Internet. Communication technology and society: Audience adoption and uses, 379-407.
Chellappa, R. K., & Sin, R. G. (2005). Personalization versus Privacy: An Empirical Examination of the Online Consumer's Dilemma. Inf. Technol. and Management, 6(2-3), 181-202. doi: 10.1007/s10799-005-5879-y
Chen, Y., & Xie, J. (2008). Online consumer review: Word-of-mouth as a new element of marketing communication mix. Management Science, 54(3), 477-491.
Chiu, H. C., Pant, A., Hsieh, Y. C., Lee, M., Hsioa, Y. T., & Roan, J. (2014) Snowball to avalanche: understanding the different predictors of the intention to propagate online marketing messages. European Journal of Marketing, 48(7/8), 4-4.
Chiu, H.-C., Hsieh, Y.-C., & Kuo, Y.-C. (2012). How to Align your Brand Stories with Your Products. Journal of Retailing, 88, 262-275.
Chiu, H.-C., Hsieh, Y.-C., Kao, Y.-H., & Lee, M. (2007). The determinants of email receivers' disseminating behaviors on the Internet. Journal of advertising research, 47(4), 524-534.
Chu, S.-C., & Kim, Y. (2011). Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites. International Journal of Advertising, 30(1), 47-75.
Close, A. G., & Kukar-Kinney, M. (2010) Beyond buying: Motivations behind consumers' online shopping cart use. Journal of Business Research, 63(9), 986-992.
Cobb, S. (1976) Social support as a moderator of life stress. Psychosomatic medicine, 38(5), 300-314.
Cohen, S., & Wills, T. A. (1985) Stress, social support, and the buffering hypothesis. Psychological bulletin, 98(2), 310-357.
Dellarocas, C. (2003). The digitization of word of mouth: Promise and challenges of online feedback mechanisms. Management Science, 49(10), 1407-1424.
Dichter, E. (1966). {How word-of-mouth advertising works}. Harvard business review, 44(6), 147-160.
Dickinger, A., Haghirian, P., Murphy, J., & Scharl, A. (2004). An investigation and conceptual model of SMS marketing. Paper presented at the Proceedings of the 37th Annual Hawaii International Conference on, Hawaii.
Dobele, A., Lindgreen, A., Beverland, M., Vanhamme, J., & van Wijk, R. (2007). Why pass on viral messages? Because they connect emotionally. Business horizons, 50(4), 291-304.
Ducoffe, R. H. (1996). Advertising value and advertising on the web. Journal of Advertising Research, 21-35.
Earley, P. C., & Gibson, C. B. (1998). Taking stock in our progress on individualism-collectivism: 100 years of solidarity and community. Journal of management, 24(3), 265-304.
Ebersole, S. (2000). Uses and gratifications of the web among students. Journal of Computer‐Mediated Communication, 6(1), 0-0.
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(2), 33-43.
Ellison, N. B., Steinfield, C., & Lampe, C. (2007). The benefits of Facebook “friends:” Social capital and college students’ use of online social network sites. Journal of Computer‐Mediated Communication, 12(4), 1143-1168.
Engel, J. F., Kegerreis, R. J., & Blackwell, R. D. (1969). Word-of-mouth communication by the innovator. The Journal of Marketing, 15-19.
Feldman, S. P., & Spencer, M. C. (1965). The Effect of Personal Influence on the Selection of Consumer Services: Center for regional studies.
Ferguson, D. A., & Perse, E. M. (2000). The World Wide Web as a functional alternative to television. Journal of Broadcasting & Electronic Media, 44(2), 155-174.
Ford, G. T., Smith, D. B., & Swasy, J. L. (1990). Consumer skepticism of advertising claims: Testing hypotheses from economics of information. Journal of consumer research, 16(4), 433-441.
Franke, G. R., Huhmann, B. A., & Mothersbaugh, D. L. (2004). Information Content and Consumer Readership of Print Ads: A Comparison of Search and Experience Products. Journal of the Academy of Marketing Science, 32(1), 20-31.
Gabbott, M., & Hogg, G. (2000). An empirical investigation of the impact of non-verbal communication on service evaluation. European Journal of Marketing, 34(3/4), 384-398.
Gallo, C. (2011) The power of Foursquare: 7 innovative ways to get your customers to check in wherever they are. McGraw-Hill.
Ghose, A., Goldfarb, A., & Han, S. P. (2012). How is the mobile Internet different? Search costs and local activities. Information Systems Research, 24(3), 613-631.
Gibbs, J. L., Ellison, N. B., & Heino, R. D. (2006) Self-presentation in online personals the role of anticipated future interaction, self-disclosure, and perceived success in Internet dating. Communication Research, 33(2), 152-177.
Girard, T., Silverblatt, R., & Korgaonkar, P. (2002). Influence of product class on preference for shopping on the internet. Journal of Computer‐Mediated Communication, 8(1), 0-0.
Goldsmith, R. E., Lafferty, B. A., & Newell, S. J. (2000). The impact of corporate credibility and celebrity credibility on consumer reaction to advertisements and brands. Journal of Advertising, 29(3), 43-54.
Gou, L., Chen, H. H., Kim, J. H., Zhang, X. L., & Giles, C. L. (2010, March). Sndocrank: a social network-based video search ranking framework. In Proceedings of the international conference on Multimedia information retrieval (pp. 367-376). ACM.
Granovetter, M. S. (1973). The strength of weak ties. American journal of sociology, 1360-1380.
Gremler, D. D. (1994). Word-of-mouth about service providers: an illustration of theory development in marketing. Paper presented at the AMA winter educators' conference proceedings.
Hair, J., et al. (2009). Multivariate Data Analysis (7th ed.). Prentice Hall, Upper Saddle River, USA.
Hargreaves, D. (2011) The Reality behind the ‘Check-in’ Hype. Retrieved from Online at: http://bynd.com/2011/05/04/social-loco-research/ (accessed 2011).
Harrison-Walker, L. J. (2001). The measurement of word-of-mouth communication and an investigation of service quality and customer commitment as potential antecedents. Journal of service research, 4(1), 60-75.
Hausman, A. V., & Siekpe, J. S. (2009). The effect of web interface features on consumer online purchase intentions. Journal of Business Research, 62(1), 5-13.
Hennig‐Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic word‐of‐mouth via consumer‐opinion platforms: What motivates consumers to articulate themselves on the Internet?. Journal of interactive marketing, 18(1), 38-52.
Hennig‐Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic word‐of‐mouth via consumer‐opinion platforms: What motivates consumers to articulate themselves on the Internet?. Journal of interactive marketing, 18(1), 38-52.
Hinz, O., Skiera, B., Barrot, C., & Becker, J. U. (2011). Seeding strategies for viral marketing: An empirical comparison. Journal of Marketing, 75(6), 55-71.
Ho, J. Y., & Dempsey, M. (2010). Viral marketing: Motivations to forward online content. Journal of Business Research, 63(9), 1000-1006.
Hoffman, D. L., & Novak, T. P. (1996). Marketing in Hypermedia Computer-Mediated Environments: Conceptual Foundations. Journal of Marketing, pp. 50-68.
Hofstede, G. (1984). Culture's consequences: International differences in work-related values (Vol. 5): sage.
Holbrook, M. B., & Hirschman, E. C. (1982) The experiential aspects of consumption: consumer fantasies, feelings, and fun. Journal of consumer research, 9(2), 132-140.
Hovland, C. I., Janis, I. L., & Kelley, H. H. (1953). Communication and persuasion; psychological studies of opinion change.
Hoyer, W. D., & MacInnis, D. J. (2004). Consumer behavior, 3rd. Boston.
Hsieh, C. T., Jones, C., & Lin, B. (2008). The new business potential with mobile commerce. International Journal of Mobile Communications, 6(4), 436-455.
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, 75-82.
Jap, S. D., & Ganesan, S. (2000) Control mechanisms and the relationship life cycle: implications for safeguarding specific investments and developing commitment. Journal of marketing research, 37(2), 227-245.
Jones, M. A., Reynolds, K. E., & Arnold, M. J. (2006) Hedonic and utilitarian shopping value: investigating differential effects on retail outcomes. Journal of Business Research, 59(9), 974-981.
Kang, Y. S., Hong, S., & Lee, H. (2009) Exploring continued online service usage behavior: The roles of self-image congruity and regret. Computers in Human Behavior, 25(1), 111-122.
Katterbach, W. (2002). Die SMS-verkäufer. Impulse, February 1st, 76.
Katz, E., & Lazarsfeld, P. F. (1955). Personal Influence, The part played by people in the flow of mass communications: Transaction Publishers.
Kaye, B. K., & Johnson, T. J. (2004). A Web for all reasons: uses and gratifications of Internet components for political information. Telematics and Informatics, 21(3), 197-223.
Kim, J., & Lee, J. E. R. (2011) The Facebook paths to happiness: Effects of the number of Facebook friends and self-presentation on subjective well-being. Cyberpsychology, Behavior, and Social Networking, 14(6), 359-364.
Krasnova, H., Spiekermann, S., Koroleva, K., & Hildebrand, T. (2010) Online social networks: why we disclose. Journal of Information Technology, 25(2), 109-125.
Lasswell, H. D. (1948). The structure and function of communication in society. The communication of ideas, 37, 215-228.
Lee, D. H., Im, S., & Taylor, C. R. (2008) Voluntary self‐disclosure of information on the Internet: A multimethod study of the motivations and consequences of disclosing information on blogs. Psychology & Marketing, 25(7), 692-710.
Lee, W., & Benbasat, I. (2003). Designing an electronic commerce interface: attention and product memory as elicited by web design. Electronic Commerce Research and Applications, 2(3), 240-253.
Levin, D. Z., & Cross, R. (2004). The strength of weak ties you can trust: The mediating role of trust in effective knowledge transfer. Management Science, 50(11), 1477-1490.
Li, P. P. (2007). Social tie, social capital, and social behavior: Toward an integrative model of informal exchange. Asia Pacific Journal of Management, 24(2), 227-246.
Liang, T. P., Ho, Y. T., Li, Y. W., & Turban, E. (2011) What drives social commerce: the role of social support and relationship quality. International Journal of Electronic Commerce, 16(2), 69-90.
Lin, C. P. (2011) Assessing the mediating role of online social capital between social support and instant messaging usage. Electronic Commerce Research and Applications, 10(1), 105-114.
Lin, T. T., & Liu, Y. L. (2011). The development of mobile broadcasting TV: A socio-technical comparison of Singapore and Taiwan. Asian Journal of Communication, 21(1), 4-24.
Lindqvist, J., Cranshaw, J., Wiese, J., Hong, J., & Zimmerman, J. (2011, May) I'm the mayor of my house: examining why people use foursquare-a social-driven location sharing application. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (2409-2418). ACM.
Ma, L., Sian Lee, C., & Hoe-Lian Goh, D. (2014). Understanding news sharing in social media: An explanation from the diffusion of innovations theory. Online Information Review, 38(5), 598-615.
MacKenzie, B. S., & Lutz, R. J. (1989). An empirical examination of the structural antecedents of attitude toward the ad in an advertising pretesting. Journal of Marketing, 53, 48–65.
Mahajan, V., Muller, E., & Kerin, R. A. (1984). Introduction strategy for new products with positive and negative word-of-mouth. Management Science, 30(12), 1389-1404.
Mander, J. (2015). GlobalWebIndex’s quarterly report on the latest trends in social networking (Q4 2014).
Mangold, W. G., & Faulds, D. J. (2009). Social media: The new hybrid element of the promotion mix. Business horizons, 52(4), 357-365.
Mason, P. R., & Davis, B. H. (2007). More than the words: using stance-shift analysis to identify crucial opinions and attitudes in online focus groups. Journal of advertising research, 47(4), 496-506.
Mazzarol, T., Sweeney, J. C., & Soutar, G. N. (2007). Conceptualizing word-of-mouth activity, triggers and conditions: an exploratory study. European Journal of Marketing, 41(11/12), 1475-1494.
Meeker, M. (2015). Internet Trends 2015-Code Conference. Glokalde, 1(3).
Menon, S., & Kahn, B. (2002) Cross-category effects of induced arousal and pleasure on the internet shopping experience. Journal of Retailing, 78(1), 31-40.
Mitchell, A. A., & Olson, J. C. (1981). Are product attribute beliefs the only mediator of advertising effects on brand attitudes? Journal of Marketing Research, 18, 318-322.
Mittal, V., Huppertz, J. W., & Khare, A. (2008). Customer complaining: The role of tie strength and information control. Journal of retailing, 84(2), 195-204.
Mudambi, S. M., & Schuff, D. (2010). What makes a helpful review? A study of customer reviews on Amazon. com. MIS quarterly, 34(1), 185-200.
Nambisan, P., & Watt, J. H. (2011) Managing customer experiences in online product communities. Journal of Business Research, 64(8), 889-895.
Nayyar, P. R. (1993). Performance Effects of Information Asymmetry and Economies of Scope in Diversified Service Firms. Academy of Management Journal, 36(1), 28–57.
Nelson, P. (1974). Advertising as Information. Journal of Political Economy, 82, 729-754.
Neter, J., Kutner, M.H., Nachtsheim, C.J. and Wasserman, W. (1996). Applied Linear Statistical Models, 4th ed. Boston, MA.: McGraw-Hill.
Okazaki, S. (2009). Social influence model and electronic word of mouth: PC versus mobile internet. International Journal of Advertising, 28(3), 439-472.
Oliver, R. L. (1977). Effect of expectation and disconfirmation on postexposure product evaluations: An alternative interpretation. Journal of applied psychology, 62(4), 480.
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), 1160-1166.
Palka, W., Pousttchi, K., & Wiedemann, D. G. (2009). Mobile word-of-mouth–A grounded theory of mobile viral marketing. Journal of Information Technology, 24(2), 172-185.
Pan, B., & Wang, D. Mobile Internet Access Patterns for Travel: Comparison of Desktops, Tablets, and Phones.
Papacharissi, Z., & Rubin, A. M. (2000). Predictors of Internet use. Journal of Broadcasting & Electronic Media, 44(2), 175-196.
Peiyan, Z., Zhaojun, X., Yingbo, L., Feng, W., & Li, Z. (2015). Research on identity authentication management in mobile commerce based on ECC and dynamic fingerprint key. International Journal of Mobile Communications, 13(5), 535-548.
Phelps, J. E., Lewis, R., Mobilio, L., Perry, D., & Raman, N. (2004). Viral marketing or electronic word-of-mouth advertising: Examining consumer responses and motivations to pass along email. Journal of advertising research, 44(04), 333-348.
Phillips, J., & Noble, S. M. (2007). Simply Captivating: Understand Cunsumers' Attitude Toward Cinema as an Advertising Medium Journal of Advertising, 36(1), 81-94.
Pitta, D. A. (2011) Location-based Social Networking and Marketing. Journal of Consumer Marketing, 28(2), Internet article of Emerald Group Publishing Limited.
Raghubir, P., Inman, J. J., & Grande, H. (2004) The three faces of consumer promotions. California Management Review, 46(4), 23-43.
Rao, B., & Minakakis, L. (2003). Evolution of mobile location-based services. , (), . Communications of the ACM, 46(12), 61-65.
Richmond, R. (2010, September 10) Three Best Ways to Use Location-Based Social Media. The Wall Street Journal.
Ridings, C. M., & Gefen, D. (2004) Virtual community attraction: Why people hang out online. Journal of Computer‐Mediated Communication, 10(1), 00-00. Online at: http://jcmc.indiana.edu/vol10/issue1/ridings_gefen.html.
Roach, G. (2009). Consumers perception of mobile phone marketing: a direct marketing innovation. Direct marketing: an international journal, 3(2), 124-138.
Roca, J. C., Chiu, C. M., & Martínez, F. J. (2006) Understanding e-learning continuance intention: An extension of the Technology Acceptance Model. International Journal of human-computer studies, 64(8), 683-696.
Rogers, E. M. (2010). Diffusion of innovations: Simon and Schuster.
Scarpi, D. (2012) Work and fun on the internet: the effects of utilitarianism and hedonism online. Journal of Interactive Marketing, 26(1), 53-67.
Schau, H. J., & Gilly, M. C. (2003) We are what we post? Self‐presentation in personal web space. Journal of consumer research, 30(3), 385-404.
Schiffman, L. G., Kanuk, L.L. and Wisenblit, J. (2010). Consumer Behavior, 10th ed. Upper Saddle River, NJ.: Prentice Hall.
Schlosser, A. E., Shavitt, S., & Kanfer, A. (1999). Survey of Internet users’ attitudes toward Internet advertising. Journal of interactive marketing, 13(3), 34-54.
Shankar, V., Inman, J. J., Mantrala, M., Kelley, E., & Rizley, R. (2011) Innovations in shopper marketing: current insights and future research issues. Journal of Retailing, 87(1), S29-S42.
Sheffet, M. J. (1983). An experimental investigation of the documentation of advertising claims. Journal of Advertising, 12(1), 19-29.
Siau, K., & Shen, Z. (2003). Building customer trust in mobile commerce. Communications of the ACM, 46(4), 91-94.
Sirgy, M. J. (1985) Using self-congruity and ideal congruity to predict purchase motivation. Journal of business Research, 13(3), 195-206.
Sirgy, M. J., Grewal, D., & Mangleburg, T. (2000) Retail environment, self-congruity, and retail patronage: an integrative model and a research agenda. Journal of Business Research, 49(2), 127-138.
Sirgy, M. J., Grewal, D., Mangleburg, T. F., Park, J. O., Chon, K. S., Claiborne, C. B., ..., & Berkman, H. (1997) Assessing the predictive validity of two methods of measuring self-image congruence. Journal of the academy of marketing science, 25(3), 229-241.
Sridhar Balasubramanian, V. M. (2001). The economic leverage of the virtual community. International Journal of Electronic Commerce, 5(3), 103-138.
Stafford, T. F., Stafford, M. R., & Schkade, L. L. (2004). Determining uses and gratifications for the Internet. Decision Sciences, 35(2), 259-288.
Statista. (2013) Share of U.S. Smartphone Users Who Use Location-Based Services As of May 2013, by age group. Online at: http://www.statista.com/statistics/191842 (accessed 25 October 2013)
Steinfield, C., DiMicco, J. M., Ellison, N. B., & Lampe, C. (2009). Bowling online: social networking and social capital within the organization. Paper presented at the Proceedings of the fourth international conference on Communities and technologies.
Stewart, D. W., & Pavlou, P. A. (2002). From consumer response to active consumer: measuring the effectiveness of interactive media. Journal of the Academy of Marketing Science, 30(4), 376-396.
Stoel, L., Wickliffe, V., & Lee, K. H. (2004). Attribute beliefs and spending as antecedents to shopping value. Journal of Business Research, 57(10), 1067-1073.
Sui, L., & Ke, X. (2015). Intension Analysis of User News Sharing in Social Media LISS 2014 (pp. 681-687): Springer.
Sweeney, J. C., Soutar, G. N., & Mazzarol, T. (2008). Factors influencing word of mouth effectiveness: receiver perspectives. European Journal of Marketing, 42(3/4), 344-364.
Sweeney, J. C., Soutar, G. N., & Mazzarol, T. (2012). Word of mouth: measuring the power of individual messages. European Journal of Marketing, 46(1/2), 237-257.
Tam, P. W., Bensinger, G., & Sherr, I. (2012, December 23) Start-Ups Adjust to Web’s Down Cycle. The Wall Street Journal.
Taylor, D. A., & Altman, I. (1987) Communication in interpersonal relationships: Social penetration processes.
Thakran, K., & Verma, R. (2013) The emergence of hybrid online distribution channels in travel, tourism and hospitality. Cornell Hospitality Quarterly, 54(3), 240-247.
Tsang, M. M., Ho, S. C., & Liang, T. P. (2004). Consumer Attitudes Toward Mobile Advertising: An Empirical Study. International Journal of Electronic Commerce, 8(3), 65-78.
Van der Lans, R., Van Bruggen, G., Eliashberg, J., & Wierenga, B. (2010). A viral branching model for predicting the spread of electronic word of mouth. Marketing Science, 29(2), 348-365.
Varshney, U. (2003). Location management for mobile commerce applications in wireless internet environment. ACM Transactions on Internet Technology (TOIT), 3(3), 236-255.
Varshney, U., & Vetter, R. (2002). Mobile commerce: framework, applications and networking support. Mobile networks and Applications, 7(3), 185-198.
Wakefield, K. L., & Baker, J. (1998) Excitement at the mall: determinants and effects on shopping response. Journal of retailing, 74(4), 515-539.
Walsh, G., Gwinner, K. P., & Swanson, S. R. (2004). What makes mavens tick? Exploring the motives of market mavens' initiation of information diffusion. Journal of Consumer Marketing, 21(2), 109-122.
Watson, R. T., Pitt, L. F., Berthon, P., & Zinkhan, G. M. (2002). U-commerce: expanding the universe of marketing. Journal of the academy of Marketing Science, 30(4), 333-347.
Weathers, D., Sharma, S., & Wood, S. L. (2007). Effects of online communication practices on consumer perceptions of performance uncertainty for search and experience goods. Journal of Retailing, 83, 393–401.
Wheeless, L. R., & GROTZ, J. (1976) Conceptualization and measurement of reported self‐disclosure. Human Communication Research, 2(4), 338-346.
White, C. (2013). Key Ingredients To Make Your App Go Viral. Retrieved from Online at: http://www.smashingmagazine.com/2013/08/key-ingredients-to-make-your-app-go-viral/ (accessed 2013).
Whiting, A., & Williams, D. (2013). Why people use social media: a uses and gratifications approach. Qualitative Market Research: An International Journal, 16(4), 362-369.
Wiedemann, D. G. (2007, March). Exploring the Concept of Mobile Viral Marketing through Case Study Research. In MMS (pp. 49-60).
Wiedemann, H. (2007). Particle accelerator physics (Vol. 314). Berlin: Springer.
Wright, A. A., & Jr., J. G. L. (1995). Communication Effects of Advertising Versus Direct Experience When Both Search and Experience Attributes are Present. Journal of Consumer Research, 21(4), 708–718.
Xu, H., Luo, X. R., Carroll, J. M., & Rosson, M. B. (2011) The personalization privacy paradox: An exploratory study of decision making process for location-aware marketing. Decision Support Systems, 51(1), 42-52.
Yang, H. C., & Zhou, L. (2011). Extending TPB and TAM to mobile viral marketing: An exploratory study on American young consumers’ mobile viral marketing attitude, intent and behavior. Journal of Targeting, Measurement and Analysis for Marketing, 19(2), 85-98.
Zhao, L., Lu, Y., & Gupta, S. (2012). Disclosure Intention of Location-Related Information in Location-Based Social Network Services. International Journal of Electronic Commerce.
 
 
 
 
第一頁 上一頁 下一頁 最後一頁 top
QR Code
QRCODE