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John Molson School of Business welcomes new tenure track faculty members

October 9, 2024
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Concordia University’s John Molson School of Business welcomes six tenure-track faculty members to its community.

"These new faculty members bring a diversity of experience and research foci that will enrich our community and contribute to our mission to provide an engaging learning and research environment that empowers us to achieve our greatest potential," says Anne-Marie Croteau, dean of the John Molson School of Business.

Nathalie Repenning

Nathalie Repenning is an assistant professor in the Department of Accountancy. Her academic background includes sociology, economics and management accounting. She teaches Cost Accounting in the Bachelor of Commerce, Major in Accountancy.

Her research centers on how individuals and organizations enact and experience emotions regarding the contemporary emphasis on transparency, productivity and accountability. To date, her work has been published in the European Accounting Review as well as Qualitative Research in Accounting and Management.

moein javadian

Moein Javadian is an assistant professor in the Department of Marketing. He earned his PhD in Marketing from the Rotman School of Management at the University of Toronto.

Moein's research focuses on individual and corporate social responsibility, with an emphasis on how social image motivations (such as the desire to stand out or avoid shame in public settings), learning from peers and leadership incentives drive prosocial behavior. He also investigates how firms and policymakers can leverage these factors to advance social and environmental responsibility effectively.

In addition to his work on social responsibility, Moein explores innovation economics by studying how the interaction between private research and development investments and technology spillovers from neighbouring firms affects a firm's productivity. Methodologies used in his research include game-theoretic modeling, experimental economics and causal inference.

Begum Sener

Begüm Sener is an assistant professor in the Department of Marketing. She received her PhD degree in Marketing from Koc University, Turkey. Previously, she was a postdoctoral researcher in the Affective Mechanisms Lab at McGill Desautels Faculty of Management.

She builds empirical tools to understand emotions in digital culture using natural language processing and econometric models. She teaches MARK 452 - E-Marketing.

Yuyan Wei

Yuyan Wei is an assistant professor in the Department of Marketing. Prior to this tenure-track position, she taught at Trent University and completed her PhD in Business Administration from McMaster University.

Her research interests include sustainability marketing, corporate green strategies such as green innovations and acquisitions, word-of-mouth and the marketing-finance interface. Currently, Wei is working on a project that examines responsible innovations aimed at engaging minor stakeholders.

Tanya Giannelia

Tanya Giannelia is an assistant professor in the Department of Supply Chain and Business Technology Management. Her research uses qualitative methods to explore and understand the management of the development and implementation of new information technologies in organizations.

The current focus of her research is on managing artificial intelligence and understanding its impacts on organizations, individuals and society. Her work has been published in the Information Systems Journal and MIT Sloan Management Review and presented at major international conferences in information systems.

Her research and teaching are influenced by a decade of professional experience in the non-profit sector. She holds an MBA from HEC Montréal where she is currently completing her PhD.

Dongliang Sheng

Dongliang Sheng is an assistant professor in the Department of Supply Chain and Business Technology Management. His area of focus is the analysis of user-generated content on digital platforms to gain insight into user behaviours and consumer preferences.

He primarily uses causal inference methods and machine learning techniques to analyze complex datasets. He specifically researches the ways in which users on digital platforms generate content to establish social distinction and the ways in which social distinction influences user behaviours, such as consumer purchasing behaviours on e-commerce platforms, online endorsements on social media platforms and other forms of user participation on digital platforms.



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