Search results for "pricing"
showing 7 items of 167 documents
You Can Even Walk Alone. Stadium Attendance and Professional Soccer Clubs’ Social Role
2008
The purpose of the paper is to suggest a new perspective on the social role in the community for Italian professional soccer clubs. Our findings loosen the knot between hooligans and clubs and could have important consequences on the club’s corporate social responsibility and marketing strategies. After investigating the impact of stadium attendance on team performance for Serie A and B in seasons 2004/05 through 2006/07, we conclude that crowd plays no role in the winning performance of soccer teams at home. Our proposal consists of two policies hinting at a reconciliation between social and educational role of the sport with the club’s commercial interests. The first policy is to establis…
Dynaaminen hinnoittelu verkkokaupoissa
2016
Tämän kandidaattitutkielman tarkoituksena on selvittää kirjallisuuskatsauksella, minkälaisia dynaamisen hinnoittelun mahdollisuuksia yrityksellä on verkkokaupoissa. Tutkielmassa käydään läpi, mitä dynaaminen hinnoittelu on, millaisia dynaamisen hinnoittelun malleja on olemassa, minkälaista tietoa minkä- kin mallin käyttö tarvitsee, miten tietoa haetaan ja käsitellään sekä millaisia riskejä dynaamiseen hinnoitteluun sisältyy. Dynaaminen hinnoittelu on hinnoittelumalli, jossa hintaa muutellaan hinnoitteluun liittyvien tietojen perusteen. Dynaamisilla hinnoittelumetodeilla pyritään selvittämään asiakkaan maksuhalukkuus, hinnoitella tuote tai palvelu sen mukaan, ja näin saada maksuhalukkaammilt…
Factors influencing the pricing of applications in the Apple App Store: A developers’ perspective
2011
Many know how Apple Inc. owes its success in Mobile Commerce to the introduction of the new “App Store” business model. This new market is characterized by the opening to third party mobile apps, which are distributed to consumers through the App Store. This paper investigates factors that might influence the pricing of applications in the Apple Mobile Application Store. By reviewing the existing literature on the issue and analyzing the strategic features characterizing the App Store, we detect three main factors that could influence prices for apps, that is the number of developed apps, the presence of two-sided network externalities and developer’s specialization. An empirical analysis o…
Reduced Order Models for Pricing European and American Options under Stochastic Volatility and Jump-Diffusion Models
2017
Abstract European options can be priced by solving parabolic partial(-integro) differential equations under stochastic volatility and jump-diffusion models like the Heston, Merton, and Bates models. American option prices can be obtained by solving linear complementary problems (LCPs) with the same operators. A finite difference discretization leads to a so-called full order model (FOM). Reduced order models (ROMs) are derived employing proper orthogonal decomposition (POD). The early exercise constraint of American options is enforced by a penalty on subset of grid points. The presented numerical experiments demonstrate that pricing with ROMs can be orders of magnitude faster within a give…
Reduced Order Models for Pricing American Options under Stochastic Volatility and Jump-diffusion Models
2016
American options can be priced by solving linear complementary problems (LCPs) with parabolic partial(-integro) differential operators under stochastic volatility and jump-diffusion models like Heston, Merton, and Bates models. These operators are discretized using finite difference methods leading to a so-called full order model (FOM). Here reduced order models (ROMs) are derived employing proper orthogonal decomposition (POD) and non negative matrix factorization (NNMF) in order to make pricing much faster within a given model parameter variation range. The numerical experiments demonstrate orders of magnitude faster pricing with ROMs. peerReviewed
Selection of the Proper Revenue and Pricing Model for SaaS
2014
Recent research on software revenue and pricing models has revealed important ways in which firms can benefit from software renting. However, it is still unclear how SaaS providers select a proper revenue and pricing model to make their services attractive for customers. Based on 32 interviews with software professionals from four case firms, this study reveals how different factors impacted on the selection of a revenue and pricing model. It can be concluded that customers’ needs were the main driving force to the selection of the most appropriate pricing and revenue model in the market. peerReviewed