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Algorithms are being increasingly deployed in organizational processes. Such algorithms are based on machine learning and artificial intelligence applications. They learn from past data to predict and execute business decisions such as loan approval and product recommendation, and societal decisions such as medical triage and social classification. They give rise to new forms of work such as app-based car sharing and task execution.

This course surveys classic and current conceptual and empirical research in services marketing and management in the context of the hospitality, leisure, tourism and other service sectors. Students have the opportunity to develop their creative capacity in the development of theoretical extensions of the research and applications in hospitality and other service intensive contexts including health care, educational and financial services

Materials from behavioral and social sciences used to expand understanding of marketing phenomena.

The module will examine the study of organizational behavior within the context of the sport industry. The module will provide coverage of key organizational behavior topics and accompanying theories, as well as an examination of how these topics/theories are being studied in the sport management literature.

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Presentation of journal reports on business topics utilizing a quantitative approach.

Techniques of multivariate statistical an-alysis as applied to business research. Discriminant analysis, canonical correlation, multivariate analysis of variance and covariance, factor analysis, cluster analysis.