Canada Spends Logo

Explorez notre analyse du budget 2026

Grant: Discovery Grants Program - Individual

University of Ontario Institute of Technology

$17,000.00

Applications of game theory to competitive interactions in channels

EF 2009-10

Résumé
This research program aims at developing game theoretic models for oligopolies where competitive interactions exist between firms operating in a channel. This research program will help identify optimal firms' decisions in different rivalry situations and understand how these decisions are affected by various market and industry conditions. In particular, the results of this research will provide manufacturers and retailers with a better understanding of how their advertising and promotional decisions do affect their payoffs and those of their competitors. Our methodology will be analytical and will consist in developing static and dynamic game theoretic models that represent different scenarios of competition where the effects on payoffs of non-price decision variables are modeled. Game theory allows us to study decisions of distribution channels' members using a system approach. It provides equilibrium solutions for the decisions of several institutions (e.g., retailers and manufacturers) that have interdependent interests but at the same time do maximize their payoffs opportunistically. For most studied situations, non-cooperative games will be considered and Nash and Stackelberg equilibria will be computed. For dynamic games, preference will be for closed-loop and feedback information structures that provide subgame perfect solutions. Our methodology will also involve sensitivity analysis of the obtained equilibria to see how the different model's parameters affect optimal decision strategies. When appropriate, payoffs and equilibria from different scenarios will also be compared to study the effects created by competition. Finally, numerical simulations of the models' parameters will also be conducted to illustrate the sensitivity analysis, the path or the trajectory of the obtained equilibrium strategies. This research program will provide useful answers to institutions operating in distribution channels on how to manage their optimal pricing and non-pricing strategies when facing competition from other institutions that are at the same time suppliers or customers. It will also be helpful to governmental agencies to assess the effects of competition on the market dynamics and consumers' demand and prices.
Programme
Discovery Grants Program - Individual
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
312527-2007
Name nom
Karray, Salma
Department département
Business and Information Technology, Faculty of
Organization id
19222
Institution établissement
University of Ontario Institute of Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2009
Competition year année de concours
2007
Award amount
17000
Program id
RGPIN
Program nane en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
20
Committee name en
Industrial Engineering
Committee name fr
Génie industriel
Area of application code
520
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Production and operations management
Area of application fr
Production et gestion des opérations
Research subject code
1601
Research subject group en
Industrial engineering
Research subject group fr
Génie industriel
Research subject en
Operations research and management science
Research subject fr
Recherche opérationnelle et science de la gestion
Partie
3
Nb partie
5
Application title
Applications of game theory to competitive interactions in channels
Keyword
NA
Application summary
This research program aims at developing game theoretic models for oligopolies where competitive interactions exist between firms operating in a channel. This research program will help identify optimal firms' decisions in different rivalry situations and understand how these decisions are affected by various market and industry conditions. In particular, the results of this research will provide manufacturers and retailers with a better understanding of how their advertising and promotional decisions do affect their payoffs and those of their competitors. Our methodology will be analytical and will consist in developing static and dynamic game theoretic models that represent different scenarios of competition where the effects on payoffs of non-price decision variables are modeled. Game theory allows us to study decisions of distribution channels' members using a system approach. It provides equilibrium solutions for the decisions of several institutions (e.g., retailers and manufacturers) that have interdependent interests but at the same time do maximize their payoffs opportunistically. For most studied situations, non-cooperative games will be considered and Nash and Stackelberg equilibria will be computed. For dynamic games, preference will be for closed-loop and feedback information structures that provide subgame perfect solutions. Our methodology will also involve sensitivity analysis of the obtained equilibria to see how the different model's parameters affect optimal decision strategies. When appropriate, payoffs and equilibria from different scenarios will also be compared to study the effects created by competition. Finally, numerical simulations of the models' parameters will also be conducted to illustrate the sensitivity analysis, the path or the trajectory of the obtained equilibrium strategies. This research program will provide useful answers to institutions operating in distribution channels on how to manage their optimal pricing and non-pricing strategies when facing competition from other institutions that are at the same time suppliers or customers. It will also be helpful to governmental agencies to assess the effects of competition on the market dynamics and consumers' demand and prices.