Digital Content Creation: An Analysis of the Impact of Recommendation Systems
References
- (1985) Salesforce compensation plans: An agency theoretic perspective. Marketing Sci. 4(4):267–291.Link, Google Scholar
- (2020) Curation algorithms and filter bubbles in social networks. Marketing Sci. 39(2):296–316.Link, Google Scholar
- (2022) Strategic recommendation algorithms: Overselling and demarketing information designs. Preprint, submitted December 23, https://dx.doi.org/10.2139/ssrn.4301489.Google Scholar
- (2022) The creator economy: Managing ecosystem supply, revenue sharing, and platform design. Management Sci. 68(7):5233–5251.Link, Google Scholar
- (2018) Anxiety, panic and self-optimization: Inequalities and the YouTube algorithm. Convergence 24(1):69–84.Crossref, Google Scholar
- (2008) Recommendation systems with purchase data. J. Marketing Res. 45(1):77–93.Crossref, Google Scholar
- (2022) Streaming platform and strategic recommendation bias. J. Econom. Management Strategy 31(1):25–47.Crossref, Google Scholar
- (2009) An experimental study of the relationship between online engagement and advertising effectiveness. J. Interactive Marketing 23(4):321–331.Crossref, Google Scholar
- (2023) How does competition affect exploration vs. exploitation? A tale of two recommendation algorithms. Management Sci. 70(2):1029–1051.Google Scholar
- (2010) Limited memory, categorization, and competition. Marketing Sci. 29(4):650–670.Link, Google Scholar
- (2001) Individual marketing with imperfect targetability. Marketing Sci. 20(1):23–41.Link, Google Scholar
- (2023) Product recommendation and consumer search. J. Management Inform. Systems 40(3):752–777.Google Scholar
- (2021) How does the YouTube algorithm work in 2021? The complete guide. Retrieved August 31, 2021, https://blog.hootsuite.com/how-the-youtube-algorithm-works/.Google Scholar
- (2016) Deep neural networks for YouTube recommendations. Sen S, Geyer W, eds. Proc. 10th ACM Conf. on Recommender Systems (Association for Computing Machinery, New York), 191–198.Google Scholar
- (2014) Integration and search engine bias. RAND J. Econom. 45(3):576–597.Crossref, Google Scholar
- (2019) A model of biased intermediation. RAND J. Econom. 50(4):854–882.Crossref, Google Scholar
- (2013) Media, aggregators, and the link economy: Strategic hyperlink formation in content networks. Management Sci. 59(10):2360–2379.Link, Google Scholar
- (2013) Is pay for performance detrimental to innovation? Management Sci. 59(7):1496–1513.Link, Google Scholar
- (2015) Suspense and surprise. J. Political Econom. 123(1):215–260.Crossref, Google Scholar
- (2010) The economics of buyer uncertainty: Advance selling vs. probabilistic selling. Marketing Sci. 29(6):1040–1057.Link, 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
- (2022) Resource allocation among competing innovators. Management Sci. 68(8):6059–6074.Link, Google Scholar
- (2021) Recommendations systems: Beyond matching products to buyers. Preprint, submitted April 2, https://dx.doi.org/10.2139/ssrn.3160247.Google Scholar
- (2015) Impact of recommender system on competition between personalizing and non-personalizing firms. J. Management Inform. Systems 31(4):243–277.Crossref, Google Scholar
- (2012) Privacy and innovation. Innovative Policy Econom. 12(1):65–90.Crossref, Google Scholar
- (2011) Why do intermediaries divert search? RAND J. Econom. 42(2):337–362.Crossref, Google Scholar
- (2020) How do people make money on YouTube? Retrieved June 10, 2021, https://www.investopedia.com/ask/answers/012015/how-do-people-make-money-videos-they-upload-youtube.asp.Google Scholar
- (2006) Privacy, property rights and efficiency: The economics of privacy as secrecy. Quant. Marketing Econom. 4(3):209–239.Crossref, Google Scholar
- (2014) Will the global village fracture into tribes? Recommender systems and their effects on consumer fragmentation. Management Sci. 60(4):805–823.Link, Google Scholar
- (2012) Competition through commissions and kickbacks. Amer. Econom. Rev. 102(2):780–809.Crossref, Google Scholar
- (2016) Competing for attention in social communication markets. Management Sci. 62(8):2304–2320.Link, Google Scholar
- (2021) Compensating online content producers: A theoretical analysis. Management Sci. 67(11):7075–7090.Link, Google Scholar
- (2019) YouTube algorithm: 7 key findings you must know. Retrieved August 31, 2021, https://www.searchenginejournal.com/youtube-algorithm-findings/296291/.Google Scholar
- (2020) Consumer search and filtering on online retail platforms. J. Marketing Res. 57(5):900–916.Crossref, Google Scholar
- (2006) On the simple economics of advertising, marketing, and product design. Amer. Econom. Rev. 96(3):756–784.Crossref, Google Scholar
- (2020) Quality score: The cost of a virtuous cycle. Preprint, submitted April 20, https://dx.doi.org/10.2139/ssrn.2954707.Google Scholar
- (2020) AVOD: The definitive guide to ad-based video on demand. Retrieved June 10, 2021, https://www.dacast.com/blog/avod/.Google Scholar
- (1991) The link between newspaper content quality and circulation. Newspaper Res. J. 12(2):46–57.Crossref, Google Scholar
- (1994) Supplying information to facilitate price discrimination. Internat. Econom. Rev. 35(2):309–327.Crossref, Google Scholar
- (2018) Recommender system rethink: Implications for an electronic marketplace with competing manufacturers. Inform. Systems Res. 29(4):1003–1023.Link, Google Scholar
- (2020) Informative role of recommender systems in electronic marketplaces: A boon or a bane for competing sellers. Management Inform. Systems Quart. 44(4):1957–1985.Crossref, Google Scholar
- (2021) Incentivizing mass creativity: An empirical study of the online publishing market. Preprint, submitted May 12, https://dx.doi.org/10.2139/ssrn.3842153.Google Scholar
- (2014) When to sell your idea: Theory and evidence from the movie industry. Management Sci. 60(12):3067–3086.Link, Google Scholar
- (2011) Motivating innovation. J. Finance 66(5):1823–1860.Crossref, Google Scholar
- (2019) How data protection regulation affects startup innovation. Inform. Systems Frontiers 21(6):1307–1324.Crossref, Google Scholar
- (2002) Content-boosted collaborative filtering for improved recommendations. Proc. 18th National Conf. Artificial Intelligence (AAAI ’02) (Association for the Advancement of Artificial Intelligence, Washington, DC), 187–192.Google Scholar
- (2023) Targeted advertising as an implicit recommendation and personal data opt-out. Preprint, submitted October 17, https://dx.doi.org/10.2139/ssrn.4239159.Google Scholar
- (2014) Incorporating profit margins into recommender systems: A randomized field experiment of purchasing behavior and consumer trust. Retrieved October 16, 2022, https://repository.upenn.edu/marketing_papers/353.Google Scholar
- (2017) Mitigating diminishing returns to RandD: The role of information technology in innovation. Inform. Systems Res. 28(4):812–827.Link, Google Scholar
- Savy (2019) Will the new YouTube algorithm impact your content? Retrieved June 10, 2021, https://savyagency.com/new-youtube-algorithm/.Google Scholar
- (2001) E-commerce recommendation applications. Data Mining Knowledge Discovery 5(1):115–153.Crossref, Google Scholar
- (2020) Why am I seeing this? How video and e-commerce platforms use recommendation systems to shape user experiences. Retrieved June 10, 2021, https://www.newamerica.org/oti/reports/why-am-i-seeing-this/.Google Scholar
- (2018) Many turn to YouTube for children’s content, news, how-to lessons. Retrieved June 10, 2021, https://www.pewresearch.org/internet/2018/11/07/many-turn-to-youtube-for-childrens-content-news-how-to-lessons/#an-analysis-of-random-walks-through-the-youtube-recommendation-engine.Google Scholar
- (2013) Ad revenue and content commercialization: Evidence from blogs. Management Sci. 59(10):2314–2331.Link, Google Scholar
- (2004) Consumer privacy and the market for customer information. RAND J. Econom. 35(4):631–650.Crossref, Google Scholar
- (2022) Intermediation and steering: Competition in prices and commissions. Amer. Econom. J. Microeconom. 14(2):281–321.Crossref, Google Scholar
- (2013) Intrinsic vs. image-related utility in social media: Why do people contribute content to twitter? Marketing Sci. 32(3):368–392.Link, Google Scholar
- (2006) Creativity and Innovation in the Music Industry (Springer, Berlin).Google Scholar
- (2021) Letter from Susan: Our 2021 priorities. Retrieved August 31, 2021, https://blog.youtube/inside-youtube/letter-from-susan-our-2021-priorities/.Google Scholar
- WSJ (2021) Inside TikTok’s algorithm: A WSJ video investigation. Retrieved July 24, 2021, https://www.wsj.com/articles/tiktok-algorithm-video-investigation-11626877477.Google Scholar
- (2015) Designing warning messages for detecting biased online product recommendations: An empirical investigation. Inform. Systems Res. 26(4):793–811.Link, Google Scholar
- (2018) An empirical examination of the influence of biased personalized product recommendations on consumers’ decision making outcomes. Decision Support Systems 110:46–57.Crossref, Google Scholar
- (2022) Competing for recommendations: The strategic impact of personalized product recommendations in online marketplaces. Marketing Sci. 42(2):360–376.Google Scholar

