• DocumentCode
    1630265
  • Title

    Revenue and reputation: A stochastic control approach to profit maximization

  • Author

    Chatterjee, Avhishek ; Lei Ying ; Vishwanath, Sriram

  • Author_Institution
    Univ. of Texas at Austin, Austin, TX, USA
  • fYear
    2012
  • Firstpage
    617
  • Lastpage
    623
  • Abstract
    Profit is a function of multiple variables, including demand, cost of a product and/or service and its price. A myopic approach to business that compromises quality for profit would cause customer dissatisfaction. Customer satisfaction has its effect on business´ reputation through reviews on websites like Yelp, Amazon, eBay and thus affects profitability for a business. An additional factor that influences profitability is marketing the product/service, through advertising and promotional deals to attract customers. Overall, there is an intricate relationship that couples quality, reputation, demand and product-marketing, all of which should be driven towards maximizing profitability for a business. This paper formulates profit maximization problem as a static optimization problem, based on relationships among underlying variables and derives a dynamic decision policy from that. This formulation factors in variability caused by uncontrollable market factors. This paper presents a profit maximization scheme that is agnostic to the distribution of the market factors and proves its near-optimality.
  • Keywords
    Web sites; customer satisfaction; optimisation; profitability; stochastic systems; Amazon; Websites; Yelp; business reputation; customer satisfaction; dynamic decision policy; eBay; multiple variable fuction; profit maximization; static optimization problem; stochastic control approach; Decision making; Educational institutions; Equations; Optimization; Production; Vectors; Online reviews; reputation; utility optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication, Control, and Computing (Allerton), 2012 50th Annual Allerton Conference on
  • Conference_Location
    Monticello, IL
  • Print_ISBN
    978-1-4673-4537-8
  • Type

    conf

  • DOI
    10.1109/Allerton.2012.6483275
  • Filename
    6483275