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Articles

Attitudes toward Star Ratings: Generational Differences among Indian Consumers

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References

  • Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179—211.
  • Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting behavior. Englewood Cliffs, NJ: Prentice Hall.
  • Ashok, S. (2013). User generated content: Why companies will make the most of it in 2013. Retrieved from http://www.business2community.com/content-marketing/user-generated-content-why-companies-will-make-the-most-of-it-in-2013-0419488
  • Asch, S. E. (1956). Studies of independence and conformity: I. A minority of one against a unanimous majority. Psychological Monographs: General and Applied, 70(9), 1.
  • Babin, B. J., & Harris, E. G. (2011). CB3. Mason, OH, USA: South-Western.
  • Bagozzi, R. P., & Burnkrant, R. E. (1979). Attitude organization and the attitude-behavior relationship. Journal of Personality and Social Psychology, 37(6), 913.
  • Basuroy, S., Chatterjee, S., & Ravid, S. A. (2003). How critical are critical reviews? The box office effects of film critics, star power, and budgets. Journal of Marketing, 67(4), 103–117.
  • Bauerlein, M. (2008). The dumbest generation: How the digital age stupefies young Americans and jeopardizes our future (or, don't trust anyone under 30). New York: Penguin.
  • Bazaar Voice (2012). Social trends report. Retrieved from http://media2.bazaarvoice.com/documents/2012_social_trends_report.pdf
  • Bazaar Voice (2013). The conversation index: Signal strength: Consumers are talking about your brand. Are you tuned in? Retrieved from http://media2.bazaarvoice.com/documents/Bazaarvoice_Conversation_Index_Volume_4.pdf
  • Bekk, A., Dalponte, C., & Höfler, A. Z. (2016). Digital divide in tourism: Differences among Generation X and Y towards Online travel reviews writing. Iscontour 2016 Tourism Research perspectives: Tourism research perspectives, 110.
  • Belk, R.W. (1988) Possessions and the extended self. Journal of Consumer Research, 15(2), 139–168.
  • Braun-LaTour, K. A., LaTour, M. S., Pickrell, J. E., & Loftus, E. F. (2004). How and when advertising can influence memory for consumer experience. Journal of Advertising, 33(4), 7–25.
  • Campbell, J. D., & Fairey, P. (1985). Effects of self-esteem, hypothetical explanations, and verbalization of expectancies on future performance. Journal of Personality and Social Psychology, 48(5), 1097.
  • Chatterjee, P. (2001). Online reviews: Do consumers use them? In M. C. Gilly and J. Meyers-Levy, Advances in consumer research (vol. 28, pp. 129–133). Valdosta, GA: Association for Consumer Research.
  • Charlton, G. (2015). Ecommerce consumer reviews: Why you need them and how to use them. Retrieved from: https://econsultancy.com/blog/9366-ecommerce-consumer-reviews-why-you-need-them-and-how-to-use-them/
  • 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.
  • Chevalier, J., & Goolsbee, A. (2003). Measuring prices and price competition online: Amazon.com and Barnesandnoble.com. Quantitative Marketing and Economics, 1(2), 203–222.
  • Chevalier, J. A., & Mayzlin, D. (2006). The effect of word of mouth on sales: Online book reviews. Journal of Marketing Research, 43(3), 345–354.
  • Christodoulides, G., Michaelidou, N., & Argyriou, E. (2012). Cross-national differences in e-WOM influence. European Journal of Marketing, 46(11/12), 1689–1707.
  • Chu, S. C., & Choi, S. M. (2011). Electronic word-of-mouth in social networking sites: A cross-cultural study of the United States and China. Journal of Global Marketing, 24(3), 263–281.
  • CIA FactBook. India. Retrieved from https://www.cia.gov/library/publications/the-worldfactbook/geos/in.html
  • Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man-machine Studies, 38(3), 475–487.
  • Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003.
  • Duan, W., Gu, B., & Whinston, A. B. (2008). The dynamics of online word-of-mouth and product sales: An empirical investigation of the movie industry. Journal of Retailing, 84(2), 233–242.
  • Eliashberg, J., & Shugan, S. M. (1997). Film critics: Influencers or predictors? The Journal of Marketing, 61(2), 68–78.
  • eMarketer (2016). India's retail ecommerce sector is small but still growing: Much of this expansion is due to surging smartphone adoption among the country's consumers. Retrieved from: http://www.emarketer.com/Article/Indias-Retail-Ecommerce-Sector-Small-Still-Growing/1014342
  • ESOMAR 28. (2014). 28 questions to help research buyers of online samples. Retrieved from http://success.qualtrics.com/rs/qualtrics/images/ESOMAR%2028%202014.pdf
  • Erickson, T. (2009). Generational differences between India and US. Retrieved from https://hbr.org/2009/02/global-generations-focus-on-in
  • Fall, L. T., & Knutson, B. J. (2001). Personal values and media usefulness of mature travelers. Journal of Hospitality & Leisure Marketing, 8(3–4), 97–112.
  • 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), 233–242.
  • Forrester Research. (2017). The state of India's online retail market in 2017. Retrieved from https://www.forrester.com/report/The+State+Of+Indias+Online+Retail+Market+In+2017/-/E-RES138071
  • Fotis, J., Buhalis, D., & Rossides, N. (2012). Social media impact on holiday travel planning: The case of the Russian. Transdisciplinary Marketing Concepts and Emergent Methods for Virtual Environments, 1, 1–19.
  • Fulk, J. (1993). Social construction of communication technology. Academy of Management Journal, 36, 5.
  • Gefen, D. (2003). TAM or just plain habit: A look at experienced online shoppers. Journal of Organizational and End User Computing, 15(3), 1–13.
  • 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.
  • Gevelber, L. (2015). Why consumer intent is more powerful than demographics. Retrieved from https://www.thinkwithgoogle.com/articles/why-consumer-intent-more-powerful-than-demographics.html
  • Ghose, A., & Ipeirotis, P. G. (2006, December). Designing ranking systems for consumer reviews: The impact of review subjectivity on product sales and review quality. In Proceedings of the 16th Annual Workshop on Information Technology and Systems, Milwaukee, WI (303–310).
  • Gomes, M. (2015). Understanding Indian consumer buying behavior: Social media influence. Retrieved from http://www.slideshare.net/gomesrelations/understanding-indian-consumer-buying-behavior-social-media-influence
  • Gretzel, U., & Yoo, K. H. (2008). Use and impact of online travel reviews. Information and Communication Technologies in Tourism, Proceedings of the International Conference in Innsbruck, Austria.
  • Guo, B., & Zhou, S. (2016). Understanding the impact of prior reviews on subsequent reviews: The role of rating volume, variance and reviewer characteristics. Electronic Commerce Research and Applications, 20, 147–158. doi:10.1016/j.elerap.2016.10.007
  • Hair, J. F., Back, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2010). Multivariate data analysis. Englewood Cliffs, NJ: Prentice Hall.
  • Hawkins, N. A., Ditto, P. H., Danks, J. H., & Smucker, W. D. (2005). Micromanaging death: Process preferences, values, and goals in end-of-life medical decision making. The Gerontologist, 45(1), 107–117.
  • Henderson, S. (2016). Spending habits by generation. Retrieved from https://blog.dol.gov/2016/11/03/spending-habits-by-generation
  • Howe, N., & Strauss, W. (2007). Millennials go to college. Great Falls, VA: LifeCourse Associates.
  • Hu, N., Bose, I., Koh, N. S., & Liu, L. (2012). Manipulation of online reviews: An analysis of ratings, readability, and sentiments. Decision Support Systems, 52, 674–684
  • Hu, N., Pavlou, P. A., & Zhang, J. J. (2009). Why do online product reviews have a J-shaped distribution? Overcoming biases in online word-of-mouth communication. Communications of the ACM, 52(10), 144–147.
  • Indiaretailing Bureau. (2016). Revealed: E-sellers say Amazon, Flipkart, Snapdeal have best brand equity. Retrieved from http://www.indiaretailing.com/2016/06/13/retail/revealed-e-sellers-say-amazon-flipkart-snapdeal-have-best-brand-equity/
  • Jackson, V., Stoel, L., & Brantley, A. (2011). Mall attributes and shopping value: Differences by gender and generational cohort. Journal of Retailing and Consumer Services, 18(1), 1–9.
  • Jo, M. S. (2005). Why country of origin effects vary in consumers' quality evaluation: A theoretical explanation and implications for country of origin management. Journal of Global Marketing, 19(1), 5–25.
  • Karahanna, E., Straub, D. W., & Chervany, N. L. (1999). Information technology adoption across time: A cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly, 23(2), 183–213.
  • Keh, H. T., Ji, W., Wang, X., Sy-Changco, J. A., & Singh, R. (2015). Online movie ratings: A cross-cultural, emerging Asian markets perspective. International Marketing Review, 32(3/4), 366–388.
  • Lee, D., Park, J., & Ahn, J. H. (2001). On the explanation of factors affecting e-commerce adoption. ICIS 2001 Proceedings, 14.
  • Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40(3), 191–204.
  • Littrell, M. A., Jin Ma, Y., & Halepete, J. (2005). Generation X, Gen X, and swing: Marketing fair trade apparel. Journal of Fashion Marketing and Management: An International Journal, 9(4), 407–419.
  • Live Mint. (2017). India to surpass China as fastest growing oil market in 2018: Moody's. Retrieved from http://www.livemint.com/Industry/VKSp8swmjNF3tLknR3a1UI/India-to-surpass-China-as-fastest-growing-oil-market-in-2018.html
  • Liu, Y. (2006). Word of mouth for movies: Its dynamics and impact on box office revenue. Journal of Marketing, 70(3), 74–89.
  • Macky, K., Gardner, D., & Forsyth, S. (2008). Generational differences at work: Introduction and overview. Journal of Managerial Psychology, 23(8), 857–861.
  • Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173–191.
  • Mayzlin, D. (2006). Promotional chat on the Internet. Marketing Science, 25(2), 155–163.
  • Minnema, A., Bijmolt, T. H. A., Gensler, S., & Wiesel, T. (2016). To keep or not to keep: Effects of online customer reviews on product returns. Journal of Retailing, 92(3), 253–267. doi:10.1016/j.jretai.2016.03.001
  • Mintel. (2017). Indonesia and India among the world's fastest growing processed food retail markets. Retrieved from http://www.mintel.com/press-centre/food-and-drink/convenience-in-asia
  • Moe, W. W., & Schweidel, D. A. (2012). Online product opinions: Incidence, evaluation, and evolution. Marketing Science, 31(3), 372–386.
  • Moriuchi, E. (2016). Social media marketing: Strategies in utilizing consumer-generated content. New York, NY: Business Expert Press.
  • Moore, S. G. (2011). Some things are better left unsaid: How word of mouth influences the storyteller. Journal of Consumer Research, 38(6), 1140–1154.
  • Morrison, K. (2015). How different generations consume content online [Infographic]. Retrieved from http://www.adweek.com/digital/how-different-generations-consume-content-online-infographic/
  • 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.
  • Park, C., & Lee, T. M. (2009). Information direction, website reputation and eWOM effect: A moderating role of product type. Journal of Business Research, 62(1), 61–67.
  • Park, D. H., & Lee, J. (2009). eWOM overload and its effect on consumer behavioral intention depending on consumer involvement. Electronic Commerce Research and Applications, 7(4), 386–398.
  • Patterson, I., & Pan, R. (2007). The motivations of baby boomers to participate in adventure tourism and the implications for adventure tour providers. Annals of Leisure Research, 10(1), 26–53.
  • Pentecost, R., and Andrews, L. (2010). Fashion retailing and the bottom line: The effects of generational cohorts, gender, fashion fanship, attitudes and impulse buying on fashion expenditure. Journal of Retailing and Consumer Services, 17(1), 43–52.
  • Pitney Bowes Inc. (2015). Apparel: Indian consumers most likely to buy through social media, survey says. Retrieved from https://apparelmag.com/indian-consumers-most-likely-buy-through-social-media-survey-says
  • Satander Trade Portal. (2017). India: Reaching the consumer. Retrieved from https://en.portal.santandertrade.com/analyse-markets/india/reaching-the-consumers
  • Shopify. Learn from web analytics. Retrieved from https://www.shopify.com/guides/make-your-first-ecommerce-sale/web-analytics
  • Sinha, J., & Kim, J. (2012). Factors affecting Indian consumers' online buying behavior. Innovative Marketing, 8(2), 46–57.
  • Singh, R. (2015). Online movie ratings: Get them star struck. Retrieved from https://blogs.economictimes.indiatimes.com/et-commentary/online-movie-ratings-get-them-star-struck/
  • Slama, M. E., & Tashchian, R. O. (1983). The effects of product involvement and task definition on anticipated consumer effort: An extension. In Proceedings of the American Institute for Decision Sciences, 12, 317–319.
  • Spears, N., & Singh, S. N. (2004). Measuring attitude toward the brand and purchase intentions. Journal of Current Issues & Research in Advertising, 26(2), 53–66.
  • Strutton, D., Taylor, D. G., & Thompson, K. (2011). Investigating generational differences in e-WOM behaviours: For advertising purposes, does X = Y? International Journal of Advertising, 30(4), 559–586.
  • Taylor, H. (2016). How India is shaping the global smartphone market. Retrieved from https://www.cnbc.com/2016/09/21/how-india-is-shaping-the-global-smartphone-market.html
  • Taylor, P., & Gao, G. (2014). Generation X: America's neglected “middle child.” Retrieved from http://www.pewresearch.org/fact-tank/2014/06/05/generation-x-americas-neglected-middle-child/
  • Teo, T. (2010). A path analysis of pre-service teachers' attitudes to computer use: Applying and extending the technology acceptance model in an educational context. Interactive Learning Environments, 18(1), 65–79.
  • Trefis Team. (2016). Amazon tops Indian e-commerce market in web traffic. Retrieved from http://www.forbes.com/sites/greatspeculations/2016/06/27/amazon-tops-indian-e-commerce-market-in-web-traffic/#3e5aca2fc13b
  • Tsang, A. S., & Prendergast, G. (2009). Is a “star” worth a thousand words? The interplay between product-review texts and rating valences. European Journal of Marketing, 43(11/12), 1269–1280.
  • Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.
  • Constantinides, E., & deVries. S. (2016). Marketing of the 21st century. Retrieved from https://www.utwente.nl/repository/utwente-data/ut_central/en/press%20department%20-%20widgets%20bij%20news%20items/2017/volume-1-essays-on-msi-themes-ut-class-2016-17-jan-2017.pdf
  • Yang, H. D., & Yoo, Y. (2004). It's all about attitude: Revisiting the technology acceptance model. Decision Support Systems, 38(1), 19–31.
  • Ye, Q., Law, R., & Gu, B. (2009). The impact of online user reviews on hotel room sales. International Journal of Hospitality Management, 28(1), 180–182.
  • Yogesh, F., & Yesha, M. (2014). Effect of social media on purchase decision. Pacific Business Review International, 6(11), 45–51.
  • Zhang, J. Q., Craciun, G., & Shin, D. (2010). When does electronic word-of-mouth matter? A study of consumer product reviews. Journal of Business Research, 63(12), 1336–1341.
  • Zhong, R. (2016). This is how India is keeping its place as Asia's fastest growing large economy. Retrieved from https://blogs.wsj.com/indiarealtime/2016/09/27/this-is-how-india-is-keeping-its-place-as-asias-fastest-growing-large-economy/
  • Zhu, F., & Zhang, X. (2010). Impact of online consumer reviews on sales: The moderating role of product and consumer characteristics. Journal of Marketing, 74(2), 133–148.

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