The Effect of Binge-Watching on the Subscription of Video on Demand: Results from Randomized Experiments
Published Online:15 Sep 2020https://doi.org/10.1287/isre.2020.0948
References
- (2017) Survey of catch-up TV and other time-shift services: A comprehensive analysis and taxonomy of linear and nonlinear television. Telecomm. Systems 64:57–74.Crossref, Google Scholar
- (2017) Effects of online recommendations on consumers’ willingness to pay. Inform. Systems Res. 29(1):84–102.Link, Google Scholar
- (2010) Behavior and energy policy. Science 327(5970):1204–1205.Crossref, Google Scholar
- (2006) The Long Tail: Why the Future of Business is Selling More for Less (Hyperion, New York).Google Scholar
- (2004) Long-run effects of promotion depth on new vs. established customers: Three field studies. Marketing Sci. 23(1):4–20.Link, Google Scholar
- (2015) Do your online friends make you pay? A randomized field experiment on peer influence in online social networks. Management Sci. 61(8):1902–1920.Link, Google Scholar
- (2016) Monetizing freemium communities: Does paying for premium increase social engagement? Preprint, submitted December 15, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2885681.Google Scholar
- (2015) A State of Arrested Development: Critical Essays on the Innovative Television Comedy (McFarland, Jefferson, NC).Google Scholar
- (1988) A theory of rational addiction. J. Political Econom. 96(4):675–700.Crossref, Google Scholar
- (2019) The impact of time shifting on TV consumption and ad viewership. Management Sci. 65(7):3216–3234.Google Scholar
- (2017) 11 better ways to find movies on Netflix. Accessed November 2017, https://www.cheatsheet.com/gear-style/11-better-ways-to-find-movies-on-netflix.html.Google Scholar
- (2014) Nudging credit scores in the field: The effect of text reminders on creditworthiness in the United States. Working Paper 15-2, Federal Reserve Bank of Boston, Boston.Google Scholar
- (2010) Do digital video recorders influence sales? J. Marketing Res. 47(6):998–1010.Crossref, Google Scholar
- (2003) Consumer surplus in the digital economy: Estimating the value of increased product variety at online booksellers. Management Sci. 49(11):1580–1596.Link, Google Scholar
- (2017) Effective reminders. Management Sci. 63(9):2915–2932.Google Scholar
- (2003) Regulation for conservatives: Behavioral economics and the case for “asymmetric paternalism.” Univ. Pennsylvania Law Rev. 151(3):1211–1254.Crossref, Google Scholar
- (2007) An empirical study of the myths and facts of digitization in the music industry. Presentation, 2007 Workshop on Information Systems Economics, December 8, 2007, Desautels Faculty of Management McGill University, Montreal, Quebec, Canada.Google Scholar
- (2017) Sequential search with refinement: Model and application with click-stream data. Management Sci. 63(12):4345–4365.Google Scholar
- (2003) When more is less and less is more: The role of ideal point availability and assortment in consumer choice. J. Consumer Res. 30(2):170–183.Crossref, Google Scholar
- (2015) The challenge of retaining customers acquired with free trials. J. Marketing Res. 52(2):217–234.Crossref, Google Scholar
- (2016) Digital democracy survey: A multi-generational view of consumer TMT trends. Accessed November 2017, http://www.ngi-summit.org/wp-content/materials/us-tmt-deloitte-digital-democracy-executive-summary.pdf.Google Scholar
- (2012) Research note—Music blogging, online sampling, and the long tail. Inform. Systems Res. 23(3-part-2):1056–1067.Google Scholar
- (2007) Superstars and underdogs: An examination of the long tail phenomenon in video sales. 2007 ASSA Conference Paper, Harvard Business School Working Paper Series, No. 07-015, Cambridge, MA.Google Scholar
- (2020) Recommender systems and consumer welfare: Results from a randomized experiment in video-on-demand. MIS Quart. Forthcoming.Google Scholar
- (2009) Blockbuster culture’s next rise or fall: The impact of recommender systems on sales diversity. Management Sci. 55(5):697–712.Link, Google Scholar
- (2016) Try it, you’ll like it—Or will you? The perils of early free-trial promotions for high-tech service adoption. Marketing Sci. 35(5):810–826.Link, Google Scholar
- (1999) Hedonic adaptation. Kahneman D, Diener E, Schwarz N, eds. Well-being: Foundations of Hedonic Psychology (Russell Sage Foundation, New York), 302–329.Google Scholar
- (2011) Is variety the spice of life? It all depends on the rate of consumption. Judgment Decision Making 6(3):230–238.Google Scholar
- (2013) Slow down! Insensitivity to rate of consumption leads to avoidable satiation. J. Consumer Res. 39(5):993–1009.Crossref, Google Scholar
- (2018) The effect of subscription video-on-demand on piracy: Evidence from a household level randomized experiment. Management Sci. 64(12):5610–5630.Link, Google Scholar
- (2006) Double agents: Assessing the role of electronic product recommendation systems. Sloan Management Rev. 47(3):8–12.Google Scholar
- (2000) Consumer decision making in online shopping environments: The effects of interactive decision aids. Marketing Sci. 19(1):4–21.Link, Google Scholar
- (2016) Simultaneous or sequential? Search strategies in the U.S. auto insurance industry. Marketing Sci. 36(1):21–42.Link, Google Scholar
- (1994) Identification and estimation of local average treatment effects. Econometrica 62(2):467–475.Crossref, Google Scholar
- . (2012) Beyond nudges: Tools of a choice architecture. Marketing Lett. 23(2):487–504.Crossref, Google Scholar
- (2012) Binge viewing: TV’s lost weekends. Wall Street Journal (July 13), https://www.wsj.com/articles/SB10001424052702303740704577521300806686174.Google Scholar
- (1990) Predicting utility. Hogarth RM, ed. Insights in Decision Making (University of Chicago Press, Chicago),295–310.Google Scholar
- (2016) Getting to the top of mind: How reminders increase saving. Management Sci. 62(12):3393–3411.Link, Google Scholar
- (1987) Cognitive reference points in consumer decision making. Adv. Consumer Res. 14(1)183–187.Google Scholar
- (2002) Television addiction. Sci. Amer. 286(2):74–81.Crossref, Google Scholar
- (2019) How do recommender systems affect sales diversity? A cross-category investigation via randomized field experiment. Inform. Systems Res. 30(1):239–259.Link, Google Scholar
- (2006) Customer acquisition promotions and customer asset value. J. Marketing Res. 43(2):195–203.Crossref, Google Scholar
- (1997) Predicting reactions to environmental change. Bazerman MH, Messick DM, Tenbrunsel AE, Wade-Benzoni KA, eds. Environment, Ethics, and Behavior: The Psychology of Environmental Valuation and Degradation (New Lexington Press/Jossey-Bass, San Francisco), 52–72.Google Scholar
- (2017) GJRM: Generalised joint regression modelling. R package version 0.1-1. Accessed September 2018, https://cran.r-project.org/web/packages/GJRM/index.html.Google Scholar
- (2011) Estimation of a semiparametric recursive bivariate probit model in the presence of endogeneity. Canadian J. Statist. 39(2):259–279.Crossref, Google Scholar
- (2017) A simultaneous equation approach to estimating HIV prevalence with nonignorable missing responses. J. Amer. Statist. Assoc. 112(518):484–496.Crossref, Google Scholar
- (2014) The Netflix effect: Teens, binge watching, and on-demand digital media trends.Jeunesse: Young People, Texts, Cultures 6(1):119–138.Google Scholar
- (2014) From intention to action: Can nudges help consumers to choose renewable energy? Energy Policy 74:376–382.Crossref, Google Scholar
- (2016) Can’t find something to watch on Netflix? This hack will totally change your life. Accessed November 2017, http://www.eonline.com/news/732326/can-t-find-something-to-watch-on-netflix-this-hack-will-totally-change-your-life.Google Scholar
- (2008) Interrupted consumption: Disrupting adaptation to hedonic experiences. J. Marketing Res. 45(6):654–664.Crossref, Google Scholar
- (2009) Enhancing the television-viewing experience through commercial interruptions. J. Consumer Res. 36(2):160–172.Crossref, Google Scholar
- (2017) Netflix is on the hook for 20 billion USD. Can it keep spending its way to success? Los Angeles Times (July 29), http://www.latimes.com/business/hollywood/la-fi-ct-netflix-debt-spending-20170729-story.html.Google Scholar
- (2014) Economics of free under perpetual licensing: Implications for the software industry. Inform. Systems Res. 25(1):173–199.Google Scholar
- (2010) Recommendation networks and the long tail of electronic commerce. MIS Quart. (2012): 65–83.Google Scholar
- (2008) Moving from free to fee: How online firms market to change their business model successfully. J. Marketing 72(3):14–31.Crossref, Google Scholar
- (2014) The impact of text message reminders on adherence to antimalarial treatment in northern Ghana: A randomized trial. PLoS One 9(10):e109032.Crossref, Google Scholar
- (1997) Recommender systems. Comm. ACM 40(3):56–58.Crossref, Google Scholar
- (2014) How binge-viewing became a cultural phenomenon—A brief history. Accessed September 2017, https://www.videonuze.com/content/view/18711.Google Scholar
- (1998) Does living in California make people happy? A focusing illusion in judgments of life satisfaction. Psych. Sci. 9(5):340–346.Crossref, Google Scholar
- (2016) Binge watching and advertising. J. Marketing 80(5):1–19.Crossref, Google Scholar
- (2013) Netflix survey: Binge-watching is not weird or unusual. Variety (December 13), https://variety.com/2013/digital/news/netflix-survey-binge-watching-is-not-weird-or-unusual-1200952292/.Google Scholar
- (2016) Binge viewing in the United States. Accessed September 2017, https://www.statista.com/topics/2508/binge-watching-in-the-us/.Google Scholar
- (1985) Mental accounting and consumer choice. Marketing Sci. 4(3):199–214.Link, Google Scholar
- (2008) Nudge: Improving Decisions About Health, Wealth, and Happiness (Yale University Press, New Haven, CT).Google Scholar
- (2011) How does popularity information affect choices? A field experiment. Management Sci. 57(5):828–842.Link, Google Scholar
- (2008) How the digital video recorder (DVR) changes traditional television advertising. J. Advertising 37(1):143–149.Crossref, Google Scholar

