International Journal of Marketing and Business Communication

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Gender Difference in Consumer Perception towards Online Viral Marketing Communication


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1 Prestige Institute of Management and Research, Indore, Madhya Pradesh, India
     

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The advent of social networks, online communities, online videos and emails, blogs, forums etc. provide the ability to distribute information faster than ever before. Advancements in communication technology have given rise to the evolution of a new electronic form of word-of-mouth i.e. Viral marketing communication. Viral marketing is a very effective tool available to the marketers today. Due to the extensive use of Internet in sharing information among young adults, marketers should focus on viral marketing as one of the new sources of marketing. The growth in number of internet users has been dramatic ever since it came to existence. The focus of this study is to analyse the effect of gender on the consumer attitude towards the factors that affect online viral marketing techniques. The study was done on primary data collected through self structured questionnaire based on five point Likert Scale. The data was collected from 201 respondents using non-probability judgemental sampling. Independent sample t-test was applied to find the difference between the perception of male and female towards the factors the affect viral marketing. The study will help the marketing managers to understand the behaviour of consumer and tap the right customer in a right way.

Keywords

Consumer Behaviour, Email Marketing, Internet Marketing, Viral Marketing.
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  • Alba, J. W., & Hutchinson J. W. (1987). Dimensions of consumer expertise. Journal of Consumer Research, 13 (March), 411-454

  • Akturan, U. (2009). Celebrity advertising in the case of negative associations: Discourse analysis of weblogs. Management Research Review, 34(12), 2-12

  • Angel, R., & Sexsmith, J. (2009), Social networking: The view from the C-suite,” “Social Networking: The View from the C-Suite. Ivey Business Journal, 73( 4).

  • Awad, N. F., & Ragowsky, A. (2008). Establishing trust in electronic commerce through online word of mouth: an examination across genders. Journal of Management Information Systems, 24(4), 101-21.

  • Bruyn, A. D., & Lilien, G. L. (2008). A multi-stage model of word-of-mouth infl uence through viral marketing. International Journal of Research in Marketing, 25, 151–163.

  • Casalo´, L., Flavia´n, C., & Guinalı´u, M. (2008). The role of satisfaction and website usability in developing customer loyalty and positive word-of-mouth in the e-banking services. International Journal of Bank Marketing, 26(6), 399-417.

  • Chevalier, J. A. & D. Mayzlin. (2006). The Effect of Word of Mouth on Sales : Online Book Reviews. Journal of Marketing Research, 43(3), 345-354.

  • Chiu, H.-C., Lee, M. & Chen, J.-R. (2006). Viral marketing: a study of e-mail spreading behavioracross gender. Journal of Website Promotion, 2(3/4), 17-30

  • Chiu, Y. B., Lin, C. P., & Tang, L. L. (2005). Gender differs: Assessing a model of online purchase intentions in e-tail service. International Journal of Service Industry Management, 16 (5), 416-435.

  • Clark, C., & Gorski, P. (2002). Multicultural education and the digital divide: Focus on gender. Multicultural Perspectives, 4(1), 30-40

  • Derbaix, C., & Joelle, V. (2003). Inducing word-of-mouth by eliciting surprise-Pilot Investigation. Journal of Economic Psychology, 24, 99-116.

  • Dobele, A., Toleman, D., & Beverland, M. (2005). Controlled infection! Spreading the brand message through viral marketing. Business Horizons, 48(2), 143-149.

  • Fisher, T. (2009). ROI in social media: A look at the arguments. Database Marketing & Customer Strategy Management, 16(3), 189-195.

  • Fong, J., & Burton, S. (2008). A cross-cultural comparison of electronic word-of-mouth and country-of-origin effects. Journal of Business Research, 61(3), 233-42

  • Gangadharbatla, H., & Lisa, J. (2007). EWOM: The effect of individual level factors on viral consumers’ email pass along behaviour. Paper presented at the American Academy of Advertising Conference, Burlington, Vermont.

  • Godes, D., & Mayzlin, D. (2004). Using online conversations to study word of mouth communication. Marketing Science, 23(4), 415-428.

  • Haas, A. (1979). Male and female spoken language differences: Stereotypes and evidence. Psychological Bulletin, 86, 616-626.

  • Helm, S. (2000). Viral marketing-Establishing customer relationship by word-of-mouse, Electronic Markets, 10(3), 158-161

  • Hennig-Thurau, T., Gwinner, K., Walsh, G., & Gremler, D. (2004). Electronic word-of-mouth via consumeropinion platforms: what motivates consumers to articulate themselves on the internet? Journal of Interactive Marketing, 18(1), 38-52

  • 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, 17(4), 454-462.

  • Hoch, S. J., & Deighton, J. (1989). Managing what consumers learn from experience. Journal of Marketing, 53(April), 1-20.

  • Huang, C.-C., Lin, T.-C., & Lin, K.-J. (2009). Factors affecting pass-along email intentions (PAEIs): integrating the social capital and social cognition theories. Electronic CommerceResearch & Applications, 8(3), 160-9.

  • Hung, K. H., & Li, S. Y. (2007). The influence of eWOM on virtual consumer communities: social capital, consumer learning, and behavioral outcomes. Journal of Advertising Research, 47(4), 485-95.

  • Iddris, F. (2006). Mobile Advertising in B2C Marketing. Master Thesis, Continuation Courses, Business Administration and Social Sciences, Lulea University of technology. Retrieved from http://epubl.ltu.se/16530187/2006/11/LTU-PB-EX-0611-SE.pdf

  • Igbaria, M., Zinatelli, N., Cragg, P., & Cavaye, A. (1997). Personal computing acceptance factors in small fi rms: A structural equation model. MIS Quarterly, 21(3), 279-305.

  • Jurvetson, S., & Draper, T. (1997). Viral Marketing. Retrieved from http://www.dfj.com/fi les/viralmarketing.html

  • Kalika, M., Charki, N. B., & Issac, H. (2008). Anempirical investigation of e-mail use versus face-to-face meetings: Integrating the Napoleon effect perspective. Communications of the AIS 22(27), 501-514.

  • Kent, R. J., & Allen, C. T. (1994). Competitive interference effects in consumer memory for advertising: The role of brand familiarity. Journal of Marketing, 58(July), 97-105.

  • Knight, C. M. (1999). Viral marketing-defy traditional methods for hyper growth. Broadwatch Magazine, 13(11), 50-53.

  • Kozinets, R. V., Valck, K. D., Wojnicki, A. C., & Wilner, S. J. S. (2010). Networked narratives: Understanding word-of-mouth marketing in online communities. Journal of Marketing, 74, 71-89.

  • Lakshmipathy, V. (2007). Social computing goes mobile. Forrester Research.

  • Leskovec, J., Adamic, L. A., & Huberman, B. A. (2007).The dynamics of viral marketing. ACM Transactions on the Web,1(1), 5, 1-39.

  • Meyers-Levy, J., & Maheswaran, D. (1991). Exploring differences in males’ and females’ processing strategies. Journal of Consumer Research, 18, 63-70

  • Mitchell, V. W., & Walsh, G. (2004). Gender differences in German consumer decision-making styles. Journal of Consumer Behaviour, 4(4), 331-346.

  • Muzaffar, F., & Kamran, S. (2011). SMS advertising: Youth attitude towards perceived informativeness, irritation and credibility. Interdisciplinary Journal of Contemporary Research in Business, 3(1), 230-245

  • Ono, H., & Zavodny, M. (2003). Gender and the Internet. Social Science Quarterly, 84(1), 111- 121

  • 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

  • Parameswaran, M., & Whinston, A. B. (2007). Social computing: An overview. Communications of the AIS, 19(37), 762-780.

  • 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 e-mail. Journal of Advertising Research, 44(4), 333-48.

  • Putrevu, S. (2001). Exploring the origins and information processing differences between men and women: Implications for advertisers. Academy of Marketing Science Review, 10, 1-14

  • Royal, C. (2005). A meta-analysis of journal articles intersecting issues of Internet and gender. Journal of Technical Writing and Communication, 35(4), 403-429

  • Ridings, C. M., Gefe D., & Arinze, B. (2002). Some antecedents and effects of trust in virtual communities. Journal of Strategic Information Systems, 11(3-4), 271-295.

  • Taylor, C. R., Franke, G. R., & Bang, H. (2006). Use and effectiveness of billboards perspectives from selectiveperception theory and retail-gravity models. Journal of Advertising, 35(4), 21-34.

  • Teather, D. (1995, November 30 ). Hidden gender. Marketing News, 18-19.

  • 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.

  • Venkatesh, V., & Morris, M. G. (2000). Why don’t men ever stop to ask for directions? Gender, social infl uence and their role in technology acceptance and usage behavior. MIS Quarterly, 24(1), 115-139.

  • Watson-Manheim, M. B., & Bélanger, F. (2007). Communication media repertoires: Dealing with the multiplicity of media choices. MIS Quarterly, 31(2), 267- 293

  • Welker, C. B. (2002).The paradigm of viral communications. Information Services & Use, 22, 3-8.

  • Wesserman, I. M., & Rich mond-Abbott, M. (2005). Gender and the Internet: Causes of variation in access, level and scope of use. Social Science Quarterly, 86(1), 253-270.

  • Woerndl. (2008). Internet-induced marketing techniques: Critical factors in viral marketing campaigns. International Journal of Business Science and Applied Management, 3(1), 33-45.

  • Zimmerman, J. (2001). Marketing on the Internet. Canada: Jim Hoskins.


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  • Gender Difference in Consumer Perception towards Online Viral Marketing Communication

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Authors

Sharda Jai Haryani
Prestige Institute of Management and Research, Indore, Madhya Pradesh, India
Bharti Bharat Motwani
Prestige Institute of Management and Research, Indore, Madhya Pradesh, India

Abstract


The advent of social networks, online communities, online videos and emails, blogs, forums etc. provide the ability to distribute information faster than ever before. Advancements in communication technology have given rise to the evolution of a new electronic form of word-of-mouth i.e. Viral marketing communication. Viral marketing is a very effective tool available to the marketers today. Due to the extensive use of Internet in sharing information among young adults, marketers should focus on viral marketing as one of the new sources of marketing. The growth in number of internet users has been dramatic ever since it came to existence. The focus of this study is to analyse the effect of gender on the consumer attitude towards the factors that affect online viral marketing techniques. The study was done on primary data collected through self structured questionnaire based on five point Likert Scale. The data was collected from 201 respondents using non-probability judgemental sampling. Independent sample t-test was applied to find the difference between the perception of male and female towards the factors the affect viral marketing. The study will help the marketing managers to understand the behaviour of consumer and tap the right customer in a right way.

Keywords


Consumer Behaviour, Email Marketing, Internet Marketing, Viral Marketing.

References