The Profit-Purpose Paradox: Responsible Research in the Private Sector
When I was first applying to TDL, one of the conversations I had with my doctoral advisor was about what joining the private sector may mean for my career. I was worried about how it would impact my ability to sustain the equity framework that I so valued.
It’s a question many for-profit organizations ask themselves: how can we sustain a social purpose when we also need to profit?
Perhaps your purpose is something adjacent to your organization’s main business (like societal leadership or corporate social responsibility). Or perhaps it is something that is deeply baked into your business mission (at TDL, we call social consciousness the S in our SPICE).
Whatever we call it, businesses of all sizes struggle with the profit–purpose paradox, constantly needing to reconcile sales and service (to communities).
As a research consultant, I have wondered what it means to create knowledge for social good in an otherwise profit-making, client-driven context. What I have come to realize is that when it comes to knowledge creation, the profit-purpose paradox stems (at least in part) from our limited understanding of the functionalities of social responsibility. Research about communities must be conducted responsibly, not only because responsible research is important in its own right but also because responsible research improves the quality of our outputs and the likelihood of its success in application.
It is not a matter of reconciling sales through research with service to communities— because, if done well, social good can drive research and innovation. In other words, we can avoid walking the profit–purpose tightrope altogether by allowing our purpose to drive our profit.
So I would like to share more concretely what it has meant, for me, to find the profit in my purpose. The problem (or at least a significant part of it) is too often that of lacking reflexivity and the willingness to center communities in research.
References
1. Internal Note: Hallsworth (2023) recently identified three categories of efforts for applied behavioral science–scope, methods, and values–which align well with these suggestions (i.e., scope = embeddedness, methods = co-construction, values = trust-building).
2. https://www.nature.com/articles/s43586-022-00150-6#ref-CR13
3. https://chicagobeyond.org/researchequity/
4. https://www.wsj.com/articles/rise-of-ai-puts-spotlight-on-bias-in-algorithms-26ee6cc9
5. https://pubmed.ncbi.nlm.nih.gov/37266959/
6. https://themarkup.org/denied/2021/08/25/the-secret-bias-hidden-in-mortgage-approval-algorithms
7. https://www.eeoc.gov/select-issues-assessing-adverse-impact-software-algorithms-and-artificial-intelligence-used
8. https://www.npr.org/2022/02/13/1080464162/lack-of-diversity-in-ai-development-causes-serious-real-life-harm-for-people-of-
9. https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm
10. https://www.google.ca/books/edition/The_Ethnographic_Interview/KZ3lCwAAQBAJ?hl=en&gbpv=0
11. https://www.researchgate.net/publication/254579694_What_is_Trust_A_Conceptual_Analysis_and_an_Interdisciplinary_Model
About the Author
Dr. Maraki Kebede
Maraki is a Project Leader at The Decision Lab. Her research focuses on social and spatial equity in education globally, and has been featured in peer-reviewed journals, edited volumes, and international conferences. Maraki has worked with several international organizations to craft pathways to empower underserved school-aged children and youth in Africa, including UNESCO, the World Bank, the Institute of International Education, and Geneva Global Inc.
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