Undergraduate Students' Corner
Undergraduate Research Opportunity Program (UROP)
The UROP scholarship is a great opportunity to stimulate undergraduate students’ interest in research, and encourage senior students to do graduate studies.
Congratulations to the following four students and their supervisors who participated in the program this year, you should be proud of your work!
- Magalie Bourdeau-Potvin : “Comment la pandémie affecte-t-elle l’utilisation des technologies de l’information (TI) dans le milieu de la restauration?“ Supervised by Muriel Mignerat
- Lina El Azrak : “Le rôle de la confiance dans l’intention d’achat d’aliments biologiques” Supervised by Leila Hamzaoui-Essoussi
- Aisha Gheriani : “Employees’ Perceptions of Fairness Toward their Co-workers Mental Health Accommodations” supervised by Jane O’Reilly.
- Juliette Treble : “Bridging the Gap: Equating Three Keystone Health Gap Measures and Beyond” supervised by Kevin Brand.
Click here to learn more!
Did you know that you can earn 3 credits of ADM electives in your program by helping a professor with their current research project?
ADM 3998 Applied Research in Management allows you to work with a professor for 36 hours per term, helping you gain meaningful academic research experience, while participating in an exciting venture that will help us make a greener, healthier, happier and wealthier Canada.
Here is a list of research projects that might interest you:
Prof. Keri Kettle’s “I Am X” vs. “I Do X”: Identity Expression, Identity Reinforcement, and Behaviour
- The words people use to describe things affect their own subsequent behavior. For example, rejecting a request by saying “I don’t” instead of “I can’t” leads people to feel more empowered in determining their own subsequent actions (Patrick & Hagtvedt 2012). In this project, we examine how the words people use to describe their own identities can reinforce those identities, dilute conflicting identities, and this change their subsequent identity-related behavior.
- We propose that describing an identity in “Being” terms (e.g., “I am a golfer”) versus “Doing” terms (e.g., “I play golf”) reinforces that identity. Using “Being” (versus “Doing”) terms to describe an identity leads that identity to become more self-important, and dilutes identities that directly compete with the focal identity for physical and mental resources. To illustrate, imagine a student-athlete who plays on the varsity soccer team, and must balance the time and energy she spends on each. We propose that having this person describe herself as “I am a soccer player” instead of “I play soccer” will reinforce her soccer identity, dilute her competing student identity, and thus lead her to prioritize training over studying.
- In this research assignment, we will conduct a long-term study at CrossFit Bytown. We will randomly assign gym members to complete a weekly journal in which they describe themselves either in “Being” terms (“I am a CrossFitter”) or in “Doing” terms (“I do CrossFit”). We will track a variety of measures of identity-relevant behavior (e.g., attendance, workout performance, recovery, eating). Your job will be to oversee data collection, including communication with the participants.
Prof. Mariam Humayun’s Escaping into the Metaverse – Narratives of Gaming
- If you spent some parts of the pandemic hooked on to Oculus headsets or building your island on Animal Crossing then this might be the right fit for you. Gaming has become a serious avenue for brands and marketers in recent years, whether it's Louis Vuittion selling skins, Gucci dressing avatars, or McDonald's buying up land in the 'Metaverse'. This project is focused on exploring narratives of gaming particularly the intrusion of marketers and brands into these virtual spaces. If you are active in gaming communities, spend time on Discord and Twitch, this might be a fun project for you. The research project is qualitative which means you may be doing ethnographic fieldwork (spend time on forums/platforms where there are relevant conversations, be it Discord/Twitch/Reddit/YouTube), interviewing participants about their interactions with brands, and collecting archival data and doing literature review on gaming/digital possessions, etc.
Prof. Morad Benyoucef’s Marketplaces for Data Monetization
- Data has become one of the most valuable resources in the world. The new data economy has led to several data use cases and one of them is Monetization. Data monetization refers to the organization's ability to create additional revenue from existing data sources (internal and external), to create useful information, insights, and observations. Data monetization aims to reduce operational cost by leveraging internal data, and/or generate revenue through other models such as selling data and wrapping data around products and services.
- The data monetization global market is estimated to grow from US$2.1 billion in 2020 to US$15.5 billion in 2030 (compound annual growth rate of 22.1%). This will be driven by the increasing magnitude of data generated, awareness of data monetization, emerging technology opportunities and trends such as Business Intelligence and Analytics (BI&A), cloud computing, blockchain, Internet of Things (IoT), social networks and post-Covid 19 pandemic business approaches and strategies.
- To cater for this data paradigm, organizations are developing marketplaces that allow data providers to easily publish a variety of data sets that are made available for data consumers. Examples of such data marketplaces include Snowflake Data Marketplace, AWS Data Exchange, Salesforce’s Data Studio, etc.
Prof. Myriam Brouard’s Looking at novel technological networks and their impacts on consumer communities and branding
- This project looks to understand the potential impacts on large brands and consumer communities when integrating non-fungible tokens (NFTs) into their current offering. Since NFTs are a new technology, there is still much exploration being done by brands as to how they can use it to create new experiences for their consumers. To start assessing this, the current project will look at publicly available Twitter and Discord data.
If you’re interested in ADM 3998, please reach out to the