​Olin Award: Research That Transforms Business


​Established in 2007, the Olin Award recognizes the important impact that scholarly research by WashU Olin faculty can have on business results.

Each year, faculty members submit papers for consideration, and the papers are judged by a group of national business executives and educators. Richard Mahoney, Olin distinguished executive in residence and former chairman and CEO of Monsanto, initiated the award to promote scholarly research that has timely practical applications for complex management problems.

Winner(s) receive a $25,000 honorarium.

Olin Award 2025: AI and Freelance Work


Generative AI may transform the role of human capital in organizations and reduce overall demand for some types of knowledge workers.

Xiang Hui, assistant professor of marketing, and Oren Reshef, assistant professor of strategy and entrepreneurship, won the 2025 Olin Award for their study, “The Short-Term Effects of Generative Artificial Intelligence on Employment: Evidence from an Online Labor Market,” which was published in the journal Organization Science in September 2024. Their coauthor on the study was Luofeng Zhou of New York University.

Read the research summary

Past Winners


Read about past winners of the Olin Award below.
  • 2024 Winner

    The winners of the 2024 Olin Award are Nick Argyres, Olin’s Vernon W. & Marion K. Piper Professor of Strategy, and Durai Sundaramoorthi, a professor of practice in data analytics.

    Mazzeo praised Argyres’ research for offering valuable insight into how some firms quickly develop future innovations—spawned by their existing innovations. “It turns out a well-connected internal researcher network can hugely benefit a firm. And that has important implications for managers, who can influence researchers’ connectedness.”

    The paper, “Internal Network Structure and the Speed of Generative Appropriability,” is under review at Strategic Management Journal. Mazzeo said one judge noted the paper provides “very positive additions to organization strategy and structure considerations.”

    Mazzeo praised Sundaramoorthi's paper, “Management of Resource Sharing in Emergency Response Using Data-driven Analytics” for coming up with “a powerful way to address supply shortages in emergency situations”— such as the ventilator shortage in hospitals during the Covid pandemic.

  • 2023 Winner

    The winners of the 2023 Olin Award are the authors of “Nip It in the Bud! Managing the Opioid Crisis: Supply Chain Response to Anomalous Buyer Behavior.” The paper is by Seethu Seetharaman, the W. Patrick McGinnis Professor of Marketing and co-director of the Center for Analytics and Business Insights (CABI); Michael Wall, professor of practice in marketing and entrepreneurship and co-director of CABI; Anthony Sardella, adjunct lecturer and senior research advisor at CABI; and Annie L. Shi, a doctoral student in marketing. The researchers developed a process for flagging suspicious transactions across 100 pharmaceuticals—a process with a stunningly high level of precision and one that can immediately take aim at curbing the country’s opioid epidemic. Read the research summary.

  • 2022 Winners

    The winners of the 2022 Olin Award are the authors of “SPACs and Forward-Looking Disclosure: Hype or Information?” The paper is by Kimball Chapman, assistant professor of accounting; Richard Frankel, Olin’s Beverly & James Hance Professor of Accounting; and Xiumin Martin, professor of accounting. They explored whether SPACs (special purpose acquisition companies) take advantage of an apparent exemption from prosecution under the Securities Act of 1933 to hype forward-looking disclosures to deceive shareholders. SPACs have allowed many companies to raise more funds without evidence that allowing forecasts misleads investors, the research found. And they have propelled innovation in a range of industries, including healthcare, electric vehicles and space exploration. Read about the research.

  • 2021 Winner

    Anne Marie Knott, the Robert and Barbara Frick Professor of Business at Olin, wrote “RQ Innovative Efficiency and Firm Value,” published in the Journal of Financial and Quantitative Analysis. RQ is short for research quotient, which is measured as the output elasticity of research & development (R&D). First developed by Knott in 2008, RQ can be estimated for any firm reporting R&D. Knott’s winning paper explores RQ’s ability to serve as a robust measure of a firm’s innovation for the finance audience. R&D is the primary source of growth for 40% of companies, “yet companies are flying blind with respect to the R&D because they lack good metrics,” Knott says. The front-end implication of flying blind is that companies don’t know how much to invest in R&D. “Only 4% of companies invest within plus 10% of optimal levels. The remaining 96% of companies are leaving an average of $182 million of foregone profits on the table each year.” Read the research summary.

  • 2020 Winner

    Assistant Professor of Operations and Manufacturing Management Dennis Zhang authored “Predicting Human Discretion to Adjust Algorithmic Prescription: A Large-Scale Field Experiment in Warehouse Operations,” which thoroughly examined the application of a human-centric algorithm in assembly-line bin packing for Chinese online retail giant Alibaba. “Today, the adoption of artificial intelligence (AI) and robotics is accelerating and revolutionizing business operations by augmenting human work,” Zhang and co-authors Jiankun Sun of Imperial College Business School, Haoyuan Hu of the Alibaba Group and Jan A. Van Mieghem of Northwestern University wrote in their award-winning paper. “Indeed, rather than striving for autonomous automation, we believe that AI and robotics can improve human work by providing more decision support while always empowering human judgment, oversight and discretion.” Read the research summary.

  • 2019 Winners

    Assistant Professor of Operations and Manufacturing Jake Feldman and Assistant Professor of Operations and Manufacturing Management Dennis Zhang co-authored “Taking Assortment Optimization from Theory to Practice: Evidence from Large Field Experiments on Alibaba,” which sought to answer the question of how to recommend products in an online retail environment that will maximize revenue and provide the most useful choices for consumers. Their research—with Chinese online retail giant Alibaba—tested the limits of machine learning technology, leavening it with customer-choice methodologies from a half-century ago. The pair’s resulting algorithm refined the product choices Alibaba retailers offered to 13 million customers in a single week, leading to a 28% revenue increase—$21.6 million—in that period. The results were so conclusive, Alibaba adopted the new product selection model. Read the research summary.

  • 2018 Winners

    Professor of Operations and Manufacturing Management Lingxiu Dong and Senior Lecturer in Management Durai Sundaramoorthi co-authored “Machine Learning Based Simulation and Optimization of Soybean Variety Selection” describing the analytics-based framework they developed to optimize a farmer’s crop yield each season. The researchers harness seven years of data spanning 350 farm sites and 182 seed varieties to compare soybean yields in different weather conditions. The researchers go a step further by developing a web-based application that allows growers to simulate crop yields under different weather conditions at any target farm. Even more, their framework works for crops other than soybeans and can help address business problems outside of agriculture in areas such as HR, finance, retail and beyond. Read the research summary.

Olin Award Winner Archive


See winners of the Olin Award from 10+ years in the archive.