Baby boomers’ Over-The-Top (OTT) rush-older customers on new platforms

References

• Agogo, D., Milne, G. R., & Schewe, C. D. (2014). Time benders: A model of subjective aging in aging adults. Health Marketing Quarterly, 31(4), 1–18. https://doi.org/10.1080/07359683.2014.966010
   PubMedGoogle Scholar
• Anderson, I. K. (2011). The uses and gratifications of online care pages: A study of CaringBridge. Health Communication, 26(6), 546–559. https://doi.org/10.1080/10410236.2011.558335 21469004
   PubMed Web of Science ®Google Scholar
• Apaolaza, V., He, J., & Hartmann, P. (2014). The effect of gratifications derived from use of the social networking site Qzone on Chinese adolescents’ positive mood. Computers in Human Behavior, 41, 203–211. https://doi.org/10.1016/j.chb.2014.09.029
   Web of Science ®Google Scholar
• Baccarne, B., Evens, T., & Schuurman, D. (2013). The television struggle: An assessment of over-the-top television evolutions in a cable dominant market. Communications & Strategies, 2013(92), 43–61.
   Google Scholar
• Bilbil, E. T. (2018). Methodology for the regulation of Over-the-top (OTT) Services: The need of a multi-dimensional perspective. International Journal of Economics and Financial Issues, 8(1), 101–110. https://doi.org/10.32479/ijefi.5809
   Google Scholar
• Beneke, J., Frey, N., Chapman, R., Mashaba, N., & Howie, T. (2011). The grey awakening: A South African perspective. Journal of Consumer Marketing, 28(2), 114–124. https://doi.org/10.1108/07363761111115953
   Google Scholar
• Bowling, A. (1995). What things are important in people’s lives? A survey of the public’s judgments to inform scales of health-related quality of life. Social Science & Medicine (1982), 41(10), 1447–1462. https://doi.org/10.1016/0277-9536(95)00113-l
   PubMed Web of Science ®Google Scholar
• Bradley, D., & Longino, C. (2001). How older people think about images of aging in advertising and the media. Generations, 25(3), 17–21.
   Web of Science ®Google Scholar
• Brunnström, K. (2013). Qualinet white paper on definitions of quality of experience. HAL open science.
   Google Scholar
• Cha, J. (2013). Predictors of television and online video platform use: A coexistence model of old and new video platforms. Telematics and Informatics, 30(4), 296–310. https://doi.org/10.1016/j.tele.2013.01.001
   Web of Science ®Google Scholar
• Chang, H. H., & Chen, S. W. (2008). The impact of online store environment cues on purchase intention: Trust and perceived risk as a mediator. Online Information Review, 32(6), 818–841.
   Web of Science ®Google Scholar
• Chen, H.-T., & Kim, Y. (2013). Problematic use of social network sites: the interactive relationship between gratifications sought and privacy concerns. Cyberpsychology, Behavior and Social Networking, 16(11), 806–812. https://doi.org/10.1089/cyber.2011.0608 24053383
   PubMed Web of Science ®Google Scholar
• Chen, C. C., Leon, S., & Nakayama, M. (2018). Are you hooked on paid music streaming?: An investigation into the millennial generation. International Journal of E-Business Research, 14(1), 1–20. https://doi.org/10.4018/IJEBR.2018010101
   Google Scholar
• Chen, Y. N. K. (2019). Competitions between OTT TV platforms and traditional television in Taiwan: A Niche analysis. Telecommunications Policy, 43(9), 101793.
   Web of Science ®Google Scholar
• Corbin, J. M., & Strauss, A. (1990). Grounded theory research: Procedures, canons, and evaluative criteria. Qualitative Sociology, 13(1), 3–21. https://doi.org/10.1007/BF00988593
   Web of Science ®Google Scholar
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
   Web of Science ®Google Scholar
• Davis, C., & Zboralska, E. (2017). Transnational over-the-top media distribution as a business and policy disruptor: The case of Netflix in Canada. The Journal of Media Innovations, 4(1), 4–25. https://doi.org/10.5617/jmi.v4i1.2423
   Google Scholar
• Delafrooz, N., Paim, L. H., & Khatibi, A. (2011). Understanding consumers internet purchase intention in Malaysia. African Journal of Business Management, 5(7), 2837–2846.
   Google Scholar
• Du Plessis, P. J., Strydom, J. W., & Jooste, C. J. (2012). Marketing management (6th ed.). Juta.
   Google Scholar
• Eastman, J. K., & Iyer, R. (2005). The impact of cognitive age on Internet use of the elderly: An introduction to the public policy implications. International Journal of Consumer Studies, 29(2), 125–136. https://doi.org/10.1111/j.1470-6431.2004.00424.x
   Google Scholar
• Gervey, B., & Lin, J. (2000). The age factor: How internet use varies from teens to seniors. Advertising Age, 71(16), 22.
   Google Scholar
• Gonçalves, V., Evens, T., Alves, A.P., & Ballon, P. (2014). Power and control strategies in online video services. 25th European Regional ITS Conference, Brussels 2014, International Telecommunications Society (ITS), EconStor.
   Google Scholar
• Gershon, R. A. (2016). Digital media and innovation: Management and design strategies in communication. Sage Publications.
   Google Scholar
• Guest, G., Bunce, A., & Johnson, L. (2006). How many interviews are enough? An experiment with data saturation and variability. Field Methods, 18(1), 59–82. https://doi.org/10.1177/1525822X05279903
   Web of Science ®Google Scholar
• Hanson, S. (2001). Has old become the new young? Director, January, p. 30.
   Google Scholar
• Hyde, M., & Higgs, P. (2004). The shifting sands of time: Results from the English Longitudinal Study of Ageing on multiple transitions in later life. Ageing International, 29(4), 317–332. https://doi.org/10.1007/s12126-004-1002-7
   Google Scholar
• Hyers, K. (2006). US mobile broadcast video market: Five predictions. ABI Research.
   Google Scholar
• Hsiao, C. H., Chang, J. J., & Tang, K. Y. (2016). Exploring the influential factors in continuance usage of mobile social Apps: Satisfaction, habit, and customer value perspectives. Telematics and Informatics, 33(2), 342–355. https://doi.org/10.1016/j.tele.2015.08.014
   Web of Science ®Google Scholar
• Katz, E. (1959). Mass communications research and the study of popular culture: An editorial note on a possible future for this journal. Departmental Papers (ASC). p.165.
   Google Scholar
• Katz, E., Haas, H., & Gurevitch, M. (1973). On the use of the mass media for important things. American Sociological Review, 38(2), 164–181. https://doi.org/10.2307/2094393
   Web of Science ®Google Scholar
• Kim, M. S., Kim, E., Hwang, S., Kim, J., & Kim, S. (2017). Willingness to pay for over-the-top services in China and Korea. Telecommunications Policy, 41(3), 197–207. https://doi.org/10.1016/j.telpol.2016.12.011
   Web of Science ®Google Scholar
• Khoo, S. S., & Yang, H. (2020). Social media use improves executive functions in middle-aged and older adults: A structural equation modeling analysis. Computers in Human Behavior, 111, 106388. https://doi.org/10.1016/j.chb.2020.106388
   Web of Science ®Google Scholar
• Lamb, C. W., Hair, J. F., & McDaniel, C. (2009). Marketing, 10th ed. Cengage Learning.
   Google Scholar
• Lazer, W. (1986). Dimensions of the mature market. Journal of Consumer Marketing, 3(3), 23–34. https://doi.org/10.1108/eb008167
   Google Scholar
• Lee, C. C., Nagpal, P., Ruane, S. G., & Lim, H. S. (2018). Factors affecting online streaming subscriptions. Communications of the IIMA, 16(1), 2. https://doi.org/10.58729/1941-6687.1394
   Google Scholar
• Leung, L., & Wei, R. (2000). More than just talk on the move: Uses and gratifications of the cellular phone. Journalism & Mass Communication Quarterly, 77(2), 308–320. https://doi.org/10.1177/107769900007700206
   Web of Science ®Google Scholar
• Luo, M. M., & Remus, W. (2014). Uses and gratifications and acceptance of Web-based information services: An integrated model. Computers in Human Behavior, 38, 281–295. https://doi.org/10.1016/j.chb.2014.05.042
   Web of Science ®Google Scholar
• Magni, M., Taylor, M. S., & Venkatesh, V. (2010). ‘To play or not to play’: A cross-temporal investigation using hedonic and instrumental perspectives to explain user intentions to explore a technology. International Journal of Human-Computer Studies, 68(9), 572–588. https://doi.org/10.1016/j.ijhcs.2010.03.004
   Web of Science ®Google Scholar
• Marshall, B., Cardon, P., Poddar, A., & Fontenot, R. (2013). Does sample size matter in qualitative research?: A review of qualitative interviews in IS research. Journal of Computer Information Systems, 54(1), 11–22. https://doi.org/10.1080/08874417.2013.11645667
   Web of Science ®Google Scholar
• Medcalf, G. (2006). Boomers and seniors. N.Z. Marketing Magazine, 25(5), 35–39.
   Google Scholar
• Melchinger, J. (1999). Americans 55 and older: A changing marke.
   Google Scholar
• McCracken, G. (1988). The long interview (Vol. 13). SAGE.
   Google Scholar
• Moschis, G. P., Lee, E., & Mathur, A. (1997). Targeting the mature market: Opportunities and challenges. Journal of Consumer Marketing, 14(4), 282–293. https://doi.org/10.1108/07363769710188536
   Google Scholar
• Nam, S. J. (2021). Mediating effect of social support on the relationship between older adults’ use of social media and their quality-of-life. Current Psychology, 40(9), 4590–4598. https://doi.org/10.1007/s12144-019-00399-3
   Web of Science ®Google Scholar
• Nourikhah, H., & Akbari, M. K. (2016). Impact of service quality on user satisfaction: Modeling and estimating distribution of quality of experience using Bayesian data analysis. Electronic Commerce Research and Applications, 17, 112–122. https://doi.org/10.1016/j.elerap.2016.04.001
   Web of Science ®Google Scholar
• Nunan, D., & Di Domenico, M. (2019). Older consumers, digital marketing, and public policy: A review and research agenda. Journal of Public Policy & Marketing, 38(4), 469–483. https://doi.org/10.1177/0743915619858939
   Web of Science ®Google Scholar
• Lee, S. (2009). Mobile internet services from consumers’ perspectives. International Journal of Human-Computer Interaction, 25(5), 390–413. https://doi.org/10.1080/10447310902865008
   Web of Science ®Google Scholar
• Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460–469. https://doi.org/10.2307/3150499
   Web of Science ®Google Scholar
• Pansari, A., & Kumar, V. (2017). Customer engagement: The construct, antecedents, and consequences. Journal of the Academy of Marketing Science, 45(3), 294–311. https://doi.org/10.1007/s11747-016-0485-6
   Web of Science ®Google Scholar
• Paul, P. (2003). Targeting boomers – Television may still be an effective way to market to baby boomers, BNET. The Go To Place For Management. Retrieved from http://findarticles.com/p/articles/mi_m4021/is_2_25?pnum¼4&opg¼97818969.
   Google Scholar
• Prince, J., & Greenstein, S. (2017). Measuring consumer preferences for video content provision via cord‐cutting behavior. Journal of Economics & Management Strategy, 26(2), 293–317. https://doi.org/10.1111/jems.12181
   Web of Science ®Google Scholar
• Rosa Dias, P., & Jones, A. M. (2007). Giving equality of opportunity a fair innings. Health Economics, 16(2), 109–112. https://doi.org/10.1002/hec.1207
   PubMed Web of Science ®Google Scholar
• Rowe, M. (2003). The grey heat of technology. Marketing Week, 15, 34–35.
   Google Scholar
• Roy, S. K. (2009). Internet uses and gratifications: A survey in the Indian context. Computers in Human Behavior, 25(4), 878–886. https://doi.org/10.1016/j.chb.2009.03.002
   Web of Science ®Google Scholar
• Ryan, R. M., & Deci, E. L. (2000). Intrinsic and extrinsic motivations: Classic definitions and new directions. Contemporary Educational Psychology, 25(1), 54–67. https://doi.org/10.1006/ceps.1999.1020
   PubMed Web of Science ®Google Scholar
• Scharf, T., & Smith, A. E. (2004). Older people in urban neighbourhoods: Addressing the risk of social exclusion in later life. Social Networks and Social Exclusion, Ashgate, Aldershot, 162–179.
   Google Scholar
• Severin, W. J., & Tankard, J. W. (1997). Communication theories: Origins, methods, and uses in the mass media (pp. 300–310). Longman.
   Google Scholar
• Shah, S. K., & Corley, K. G. (2006). Building better theory by bridging the quantitative–qualitative divide. Journal of Management Studies, 43(8), 1821–1835. https://doi.org/10.1111/j.1467-6486.2006.00662.x
   Web of Science ®Google Scholar
• Singh, P. (2019). New Media as a Change Agent of Indian Television and Cinema: A study of over the top Platforms. Journal of Content, Community and Communication, 9(1), 131–137. https://doi.org/10.31620/JCCC.06.19/18.
   Google Scholar
• Smock, A. D., Ellison, N. B., Lampe, C., & Wohn, D. Y. (2011). Facebook as a toolkit: A uses and gratification approach to unbundling feature use. Computers in Human Behavior, 27(6), 2322–2329. https://doi.org/10.1016/j.chb.2011.07.011
   Web of Science ®Google Scholar
• Strauss, A., & Corbin, J. (1990). Qualitative research. Grounded Theory.
   Google Scholar
• Stroud, D. (2005). Sea change for silver surfers. Brand Strategy, 191, 52.
   Google Scholar
• Thomas, D. (2002). Over 50 but underrated. Brand Strategy, April, p. 33.
   Google Scholar
• Thompson, N. J., & Thompson, K. E. (2009). Can marketing practice keep up with Europe’s ageing population? European Journal of Marketing, 43(11/12), 1281–1288. https://doi.org/10.1108/03090560910989885
   Web of Science ®Google Scholar
• Trocchia, P. J., & Janda, S. (2000). A phenomenological investigation of Internet usage among older consumers. Journal of Consumer Marketing, 17(7), 605–616. https://doi.org/10.1108/07363760010357804
   Google Scholar
• Venkatesh, V., Morris, M.G., Davis, G.B. and Davis, F.D., 2003. User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
   Web of Science ®Google Scholar
• Venkatesh, V., Thong, J.Y. and Xu, X., 2012. Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412
   Web of Science ®Google Scholar
• Woo, K. S., & Fock, H. K. (1999). Customer satisfaction in the Hong Kong mobile phone industry. The Service Industries Journal, 19(3), 162–174. https://doi.org/10.1080/02642069900000035
   Web of Science ®Google Scholar
• Wu, J. H., Wang, S. C., & Tsai, H. H. (2010). Falling in love with online games: The uses and gratifications perspective. Computers in Human Behavior, 26(6), 1862–1871. https://doi.org/10.1016/j.chb.2010.07.033
   Web of Science ®Google Scholar
• Williams, A. (1997). Intergenerational equity: An exploration of the ‘fair innings’ argument. Health Economics, 6(2), 117–132. https://doi.org/10.1002/(SICI)1099-1050(199703)6:2<117::AID-HEC256>3.0.CO;2-B
   PubMed Web of Science ®Google Scholar
• Ye, L. R., Zhang, Y., Nguyen, D. D., & Chiu, J. (2004). Fee-based online services: Exploring consumers’willingness to pay. Journal of International Technology and Information Management, 13(1), 12. https://doi.org/10.58729/1941-6679.1248
   Google Scholar

• Aarthi, R. (2020, March 20). Top 3 personalization strategies to build your OTT Video Audience Retrieved from https://www.zuora.com/guides/top-3-personalization-strategies-buildott-video-audience/.
   Google Scholar
• Census Bureau’s Vintage Population Estimates. (2019). Retrieved from https://www.census.gov/programs-surveys/decennial-census/decade/2020/2020-census-main.html.
   Google Scholar
• Exchange 4Media. (2021). Disney + Hotstar Has a 41% Share of the Indian Online Video Subscription Market: Omdia. Retrieved from https://www.exchange4media.com/digital-news/disney-hotstar-has-41-share-of-indian-online-video-subscription-market-omdia-112817.html.
   Google Scholar
• KPMG. (2019). Unravelling the digital video consumer. Retrieved from https://home.kpmg/in/en/home/insights/2019/09/ott-digital-video-market-consumer-india.html.
   Google Scholar
• Nielsen Reports and Insights. (2012). Introducing boomers: Marketing’s most valuable generation. Retrieved from https://www.nielsen.com/in/en/insights/report/2012/introducing-boomers-marketing-s-most-valuable-generation/#.
   Google Scholar
• Netflix Inc. (2018). Netflix 2018 annual reports. Retrieved from https://ir.netflix.net/financials/annual-reports-and-proxies/default.aspx.
   Google Scholar
• PwC India. (2019). Global Entertainment & Media Outlook 2019–2023. Retrieved February 3, 2020, from https://www.pwc.in/press-releases/2019/global-entertainment-and-media-outlook-2019-2023.html.
   Google Scholar
• Rentas‐Giusti, L. (2003). Marketers cozying up to more mature consumers. Caribbean Business, 22.
   Google Scholar
• Statista Over-the-top (OTT) T.V. and video revenue worldwide from 2010 to 2026. (2021). Retrieved from https://www.statista.com/statistics/260179/over-the-top-revenue-worldwide/.
   Google Scholar
• TNS Digital Life. (2008). Digital world, digital life: Snapshots of our online behavior and perspectives around the world. www.tnsglobal.com/_assets/files/TNS_Market_Research_Digital_World_Digital_Life.pdf.
   Google Scholar
• Verma, N. (2019, August 6). OTT an Introduction. Available: https://www.kelltontech.com/kellton-tech-blog/over-the-top-contentnext-gen-medium-entertainment.
   Google Scholar