Managing Online Content to Build a Follower Base: Model and Applications

Published Online:https://doi.org/10.1287/ijoo.2019.0023

References

  • Afèche P, Araghi M, Baron O (2017) Customer acquisition, retention, and service access quality: Optimal advertising, capacity level, and capacity allocation. Manufacturing Service Oper. Management 19(4):674–691.Link, Google Scholar
  • Aggarwal R, Gopal R, Sankaranarayanan R, Singh PV (2012) Blog, blogger, and the firm: Can negative employee posts lead to positive outcomes? Inform. Systems Res. 23(2):306–322.Link, Google Scholar
  • Amman HM, Neudecker H (1997) Numerical solutions of the algebraic matrix Riccati equation. J. Econom. Dynamics Control 21(2–3):363–369.Google Scholar
  • Bandari R, Asur S, Huberman BA (2012) The pulse of news in social media: Forecasting popularity. Proc. 6th Internat. AAAI Conf. Weblogs Social Media, Dublin, Ireland.Google Scholar
  • Bass FM (1969) A new product growth for model consumer durables. Management Sci. 15(5):215–227.Link, Google Scholar
  • Bass FM, Krishnan TV, Jain DC (1994) Why the bass model fits without decision variables. Marketing Sci. 13(3):203–223.Link, Google Scholar
  • Bernstein F, Martínez-de-Albéniz V (2017) Dynamic product rotation in the presence of strategic customers. Management Sci. 63(7):2092–2107.Link, Google Scholar
  • Bertsekas DP (1973) Stochastic optimization problems with nondifferentiable cost functionals. J. Optim. Theory Appl. 12(2):218–231.Google Scholar
  • Bertsekas DP (2000) Dynamic Programming and Optimal Control, 2nd ed. (Athena Scientific, Belmont, MA).Google Scholar
  • Bertsimas D, Kallus N (2019) From predictive to prescriptive analytics. Management Sci., ePub ahead of print August 23, https://doi.org/10.1287/mnsc.2018.3253.Google Scholar
  • Bertsimas D, Thiele A (2006) A robust optimization approach to inventory theory. Oper. Res. 54(1):150–168.Link, Google Scholar
  • Besbes O, Gur Y, Zeevi A (2015) Optimization in online content recommendation services: Beyond click-through rates. Manufacturing Service Oper. Management 18(1):15–33.Link, Google Scholar
  • Burns KB, Enright H, Hayes JF, McLaughlin K, Shi C (1997) The art and science of retail renewal. McKinsey Quart. 1(2):100–113.Google Scholar
  • Caro F, Martínez-de Albéniz V, Rusmevichientong P (2014) The assortment packing problem: Multiperiod assortment planning for short-lived products. Management Sci. 60(11):2701–2721.Link, Google Scholar
  • Chan TY, Wu C, Xie Y (2011) Measuring the lifetime value of customers acquired from google search advertising. Marketing Sci. 30(5):837–850.Link, Google Scholar
  • Çınar E, Martínez-de-Albéniz V (2013) A closed-loop approach to dynamic assortment planning Working paper, IESE Business School, Barcelona, Spain.Google Scholar
  • DBS Interactive (2016) Google analytics made easy: New visitors vs. returning visitors. DBS Interactive (October 4), https://www.dbswebsite.com/blog/2016/10/04/google-analytics-made-easy-new-visitors-vs-returning-visitors/.Google Scholar
  • Elmachtoub AN, Grigas P (2017) Smart “predict, then optimize.” Working paper, Columbia University, New York.Google Scholar
  • Ghose A, Yang S (2009) An empirical analysis of search engine advertising: Sponsored search in electronic markets. Management Sci. 55(10):1605–1622.Link, Google Scholar
  • Goel S, Anderson A, Hofman J, Watts DJ (2015) The structural virality of online diffusion. Management Sci. 62(1):180–196.Link, Google Scholar
  • Goetz M, Leskovec J, McGlohon M, Faloutsos C (2009) Modeling blog dynamics. Proc. 3rd Internat. AAAI Conf. Weblogs Social Media, San Jose, California.Google Scholar
  • Guo L, Tan E, Chen S, Zhang X, Zhao YE (2009) Analyzing patterns of user content generation in online social networks. Proc. 15th ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining (Association for Computing Machinery, New York), 369–378.Google Scholar
  • Huang W, Kulkarni V, Swaminathan JM (2008) Managing the inventory of an item with a replacement warranty. Management Sci. 54(8):1441–1452.Link, Google Scholar
  • Joo M, Wilbur KC, Cowgill B, Zhu Y (2014) Television advertising and online search. Management Sci. 60(1):56–73.Link, Google Scholar
  • Kendrick D (1981) Stochastic Control for Economic Models (McGraw-Hill, New York).Google Scholar
  • Krankel RM, Duenyas I, Kapuscinski R (2006) Timing successive product introductions with demand diffusion and stochastic technology improvement. Manufacturing Service Oper. Management 8(2):119–135.Link, Google Scholar
  • Krider RE, Weinberg CB (1998) Competitive dynamics and the introduction of new products: The motion picture timing game. J. Marketing Res. 35(1):1–15.Google Scholar
  • Leskovec J, McGlohon M, Faloutsos C, Glance NS, Hurst M (2007) Patterns of cascading behavior in large blog graphs. Proc. 2007 SIAM Internat. Conference on Data Mining (Society for Industrial and Applied Mathematics, Philadelphia), 551–556.Google Scholar
  • Liaukonyte J, Teixeira T, Wilbur KC (2015) Television advertising and online shopping. Marketing Sci. 34(3):311–330.Link, Google Scholar
  • Lobel I, Patel J, Vulcano G, Zhang J (2015) Optimizing product launches in the presence of strategic consumers. Management Sci. 62(6):1778–1799.Link, Google Scholar
  • Martínez-de-Albéniz V, Valdivia A (2018) The impact of exhibition scheduling on museum attendance. Manufacturing Service Oper. Management, ePub ahead of print December 6, https://doi.org/10.1287/msom.2018.0721.Google Scholar
  • Mediakix (2017) Instagram is worth over $100 billion. Mediakix, (December 15) http://mediakix.com/2017/12/how-much-is-instagram-worth-market-cap/.Google Scholar
  • Mendelson H, Moon K (2016) Modeling growth in service operations: Evidence from the app economy. Working paper, Stanford University, Stanford, CA.Google Scholar
  • Moe WW, Fader PS (2004) Capturing evolving visit behavior in clickstream data. J. Interactive Marketing 18(1):5–19.Google Scholar
  • Nerlove M, Arrow KJ (1962) Optimal advertising policy under dynamic conditions. Economica 29(114):129–142.Google Scholar
  • Olsen TL, Parker RP (2008) Inventory management under market size dynamics. Management Sci. 54(10):1805–1821.Link, Google Scholar
  • O’Neill M (2011) Scheduling your way to YouTube success. Adweek (January 27), http://www.adweek.com/digital/scheduling-youtube/.Google Scholar
  • Pekelman D, Sethi S (1978) Advertising budgeting, wearout and copy replacement. J. Oper. Res. Soc. 29(7):651–659.Google Scholar
  • Roels G, Skowrup T (2009) Break.com. Technical report, University of California, Los Angeles, Los Angeles.Google Scholar
  • Rutz OJ, Bucklin RE (2011) From generic to branded: A model of spillover in paid search advertising. J. Marketing Res. 48(1):87–102.Google Scholar
  • Rutz OJ, Trusov M (2011) Zooming in on paid search ads—A consumer-level model calibrated on aggregated data. Marketing Sci. 30(5):789–800.Link, Google Scholar
  • Satoh D (2001) A discrete bass model and its parameter estimation. J. Oper. Res. Soc. Japan 44(1):1–18.Google Scholar
  • Sen A, Yildirim P (2015) Clicks and editorial decisions: How does popularity shape online news coverage? Working paper, Massachusetts Institute of Technology, Cambridge, MA.Google Scholar
  • Smith JE, McCardle KF (2002) Structural properties of stochastic dynamic programs. Oper. Res. 50(5):796–809.Link, Google Scholar
  • Sun M, Zhu F (2013) Ad revenue and content commercialization: Evidence from blogs. Management Sci. 59(10):2314–2331.Link, Google Scholar
  • Topkis DM (1998) Supermodularity and Complementarity (Princeton University Press, Princeton, NJ).Google Scholar
  • Wilson LO, Norton JA (1989) Optimal entry timing for a product line extension. Marketing Sci. 8(1):1–17.Link, Google Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.