02284nam a22004571i 4500 000709562 CaToSAGE 20240202172917.0 20180103162434.3 m|||||o||d|||||||| cr ||||||||||| 180103r20172017cau fo 000 0|eng|d NEZPRACOVANÝ IMPORT 9781544318363 (ebook) : No price (OCoLC)1023543070 CaToSAGE eng CaToSAGE rda pn UtOrBLW HD9999.T523 U6 2017 381.4579 Venkataraman, Ray R., author. Forecasting ticket demand for the Super Bowl / Ray R. Venkataraman, Jeffrey K. Pinto. Los Angeles, CA : SAGE Publications, Inc., 2017. 1 online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier SAGE Knowledge. Cases Originally published in Venkataraman, R. R., & Pinto, J. K. (2017). Forecasting ticket demand for the Super Bowl. In Operations management: Managing global supply chains (pp. 496-497). Thousand Oaks, CA: SAGE Publications. ISBN: 9781506302935. This case examines causes of an unanticipated rise in prices of the 2015 Super Bowl tickets to highlight challenges in demand forecasting. To accurately predict ticket demand for the 2015 Super Bowl, the forecast needs to take into account a broader ticketing supply chain. The skyrocketing escalation of ticket prices up to Super Bowl Sunday (no tickets for less than $9,000) left average sports fans without tickets and many ticket brokers in the secondary market with losses. The challenges of demand forecasting are clearly demonstrated. Description based on XML content. elektronické knihy fd186907 czenas electronic books eczenas Super Bow Case studies. Ticket brokerage United States Case studies. Pinto, Jeffrey K., author. SAGE Knowledge. Cases. SAGE Knowledge https://sk.sagepub.com/cases/forecasting-ticket-demand-for-the-super-bowl Plný text SBC EB NEPOSILAT EB