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Ontario Tech acknowledges the lands and people of the Mississaugas of Scugog Island First Nation.

We are thankful to be welcome on these lands in friendship. The lands we are situated on are covered by the Williams Treaties and are the traditional territory of the Mississaugas, a branch of the greater Anishinaabeg Nation, including Algonquin, Ojibway, Odawa and Pottawatomi. These lands remain home to many Indigenous nations and peoples.

We acknowledge this land out of respect for the Indigenous nations who have cared for Turtle Island, also called North America, from before the arrival of settler peoples until this day. Most importantly, we acknowledge that the history of these lands has been tainted by poor treatment and a lack of friendship with the First Nations who call them home.

This history is something we are all affected by because we are all treaty people in Canada. We all have a shared history to reflect on, and each of us is affected by this history in different ways. Our past defines our present, but if we move forward as friends and allies, then it does not have to define our future.

Learn more about Indigenous Education and Cultural Services

salma

Salma Karray
PhD, MSc

Pronouns: she/her

Research Excellence Chair in Marketing Analytics and Decision Models,

Professor

Marketing
Faculty of Business and Information Technology

Dr. Karray uses optimization, game theory, data analytics, and AI techniques to help businesses improve their performance and strive in competitive environments. Applications of her work include digital advertising, pricing, retailing, loyalty program management, CRM, and e-commerce.

Languages
English, French, Arabic, Italian

Contact expert

Salma is available for:
  • Graduate student research supervision
  • Media inquiries
  • Partnerships

salma.karray@ontariotechu.com
905.721.8668 ext. 2832

Dr. Salma Karray's Google Scholar profile
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  • PhD - Marketing HEC, MontrĂ©al 2005
  • MSc - Marketing HEC, MontrĂ©al 2001
  • BCOM - Marketing IHEC, Tunisia 1998

Research Excellence Chair in Marketing Analytics and Decision Models at Ontario Tech University

Ontario Tech October 18, 2023

FBIT Research Excellence Award (Senior Researcher category)

Ontario Tech January 1, 2020

Game-Theoretic Models for Competitive Supply Chains

NSERC Discovery Grant April 1, 2015

This research project continues to explore complex mathematical models and techniques to determine optimal marketing strategies for manufacturers and retailers in a distribution channel. ($100,000)

Applications of Game Theory to Competitive Interactions in Channels

NSERC Discovery Grant April 1, 2007

This research project explores complex mathematical models and techniques to determine optimal marketing strategies for manufacturers and retailers in a distribution channel.

  • Marketing Channels (BUSI 3230U)
    This course presents a comprehensive overview of the theories and issues within distribution channels. Students will take a closer look at who the different institutions in a channel are (retailers, wholesalers, logistics companies, etc.), how to choose distribution partners (channel planning and design) and how to manage the interactions with these partners (channel management). The course also discusses some special topics in distribution (franchising, international perspectives, e-channels, direct selling and channels for services, etc.). Using interactive techniques and case studies, students will have opportunities to apply theories, concepts, and practices.
  • Marketing Research (BUSI 3260U)
    This course is concerned with research methods used in marketing. The course focuses on contemporary research techniques and analysis of market-related data. Topics include research design, data collection, data analysis, interpretation, and reporting.
  • Marketing Strategy (BUSI 4220U)
    This course focuses on strategic planning and evaluation of marketing decisions in a competitive environment. The purpose of the course is to help students develop analytical abilities by integrating all major areas of marketing. Special emphasis is placed on problem-solving and decision-making in the formulation of marketing strategies.