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    • Faculty Publications  (60)

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    • All HBS Web  (120,067)
      • Faculty Publications  (60)

      Bojinov, Iavor I.Remove Bojinov, Iavor I. →

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      • April 2025 (Revised April 2025)
      • Case

      JPMorganChase: Leadership in the Age of GenAI

      By: Iavor I. Bojinov, Karim R. Lakhani and David Lane
      This case study examines JPMorgan Chase's (JPMC) journey in adopting and implementing Generative AI (GenAI) following the release of ChatGPT. It outlines JPMC's initial cautious approach focused on data security, followed by strategic investments in internal platforms... View Details
      Keywords: Banks and Banking; Governance Controls; Information Technology; AI and Machine Learning; Analytics and Data Science; Cybersecurity; Digital Platforms; Digital Transformation; Information Management; Information Infrastructure; Technology Adoption; Job Cuts and Outsourcing; Knowledge Management; Knowledge Sharing; Leading Change; Growth and Development Strategy; Marketing; Product Development; Performance Improvement; Customization and Personalization; Financial Services Industry; United States
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      Bojinov, Iavor I., Karim R. Lakhani, and David Lane. "JPMorganChase: Leadership in the Age of GenAI." Harvard Business School Case 325-066, April 2025. (Revised April 2025.)
      • March 2025
      • Case

      Building an AI Factory at Procter & Gamble

      By: Iavor I Bojinov, Karim R. Lakhani and Alexis Lefort
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      Bojinov, Iavor I., Karim R. Lakhani, and Alexis Lefort. "Building an AI Factory at Procter & Gamble." Harvard Business School Case 625-015, March 2025.
      • February 2025
      • Exercise

      Building a Generative AI-Powered MBA Course Scheduler

      By: Iavor Bojinov and Annika Hildebrandt
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      Bojinov, Iavor, and Annika Hildebrandt. "Building a Generative AI-Powered MBA Course Scheduler." Harvard Business School Exercise 625-096, February 2025.
      • February 2025
      • Technical Note

      Data Infrastructure

      By: Iavor I Bojinov, Karim R. Lakhani, Ai Takahashi and Greta Friar
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      Bojinov, Iavor I., Karim R. Lakhani, Ai Takahashi, and Greta Friar. "Data Infrastructure." Harvard Business School Technical Note 625-098, February 2025.
      • January 2025
      • Case

      The Checkout Challenge for Orchardio

      By: Iavor I. Bojinov
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      Bojinov, Iavor I. "The Checkout Challenge for Orchardio." Harvard Business School Case 625-093, January 2025.
      • January 2025
      • Case

      Moderna: Democratizing Artificial Intelligence

      By: Iavor I. Bojinov, Karim R. Lakhani, Annika Hildebrandt and James Weber
      The case study examines Moderna's journey in democratizing artificial intelligence (AI), particularly generative AI, across its workforce. It details the company's "digital-first, AI-focused" approach, including the rollout of OpenAI's ChatGPT Enterprise to all... View Details
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      Bojinov, Iavor I., Karim R. Lakhani, Annika Hildebrandt, and James Weber. "Moderna: Democratizing Artificial Intelligence." Harvard Business School Case 625-070, January 2025.
      • January–February 2025
      • Article

      Want Your Company to Get Better at Experimentation?: Learn Fast by Democratizing Testing

      By: Iavor Bojinov, David Holtz, Ramesh Johari, Sven Schmit and Martin Tingley
      For years, online experimentation has fueled the innovations of leading tech companies, enabling them to rapidly test and refine new ideas, optimize product features, personalize user experiences, and maintain a competitive edge. The widespread availability and lower... View Details
      Keywords: Technological Innovation; AI and Machine Learning; Analytics and Data Science; Product Development; Competitive Advantage
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      Bojinov, Iavor, David Holtz, Ramesh Johari, Sven Schmit, and Martin Tingley. "Want Your Company to Get Better at Experimentation? Learn Fast by Democratizing Testing." Harvard Business Review 103, no. 1 (January–February 2025): 96–103.
      • September 2024 (Revised September 2024)
      • Supplement

      Creating an AI-First Snack Company Exercise Data Supplement

      By: Iavor I Bojinov
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      Bojinov, Iavor I. "Creating an AI-First Snack Company Exercise Data Supplement." Harvard Business School Spreadsheet Supplement 625-703, September 2024. (Revised September 2024.)
      • September 2024 (Revised January 2025)
      • Exercise

      Building an AI First Snack Company: A Hands-on Generative AI Exercise

      By: Iavor I. Bojinov
      Although the term 'Generative AI' (GenAI) is widely recognized, its practical application in daily workflows has yet to be understood. This exercise introduces students to GenAI tools, demonstrating how they can be seamlessly integrated into professional work practices... View Details
      Keywords: AI and Machine Learning; Technology Adoption; Marketing Strategy; Product Launch; Brands and Branding
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      Bojinov, Iavor I. "Building an AI First Snack Company: A Hands-on Generative AI Exercise." Harvard Business School Exercise 625-052, September 2024. (Revised January 2025.)
      • 2025
      • Working Paper

      Evaluations Amid Measurement Error: Determining the Optimal Timing for Workplace Interventions

      By: Matthew DosSantos DiSorbo, Iavor I. Bojinov and Fiammetta Menchetti
      Researchers have embraced factorial experiments to simultaneously evaluate multiple treatments, each with different levels. Typically, in large-scale factorial experiments, the primary objective is identifying the treatment with the largest causal effect, especially... View Details
      Keywords: Factorial Designs; Fisher Randomizations; Rank Estimators; Employer Interventions; Causal Inference; Mathematical Methods; Performance Improvement
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      DosSantos DiSorbo, Matthew, Iavor I. Bojinov, and Fiammetta Menchetti. "Evaluations Amid Measurement Error: Determining the Optimal Timing for Workplace Interventions." Harvard Business School Working Paper, No. 24-075, June 2024. (Revised May 2025.)
      • May 2024
      • Case

      Pernod Ricard: Uncorking Digital Transformation

      By: Iavor Bojinov, Edward McFowland III, François Candelon, Nikolina Jonsson and Emer Moloney
      This case study explores the opportunities and challenges of the digital transformation journey of French wine and spirits company Pernod Ricard. As part of the transformation, the company launched four key digital programs (KDPs) aimed at using data and artificial... View Details
      Keywords: Business Organization; Business Divisions; Talent and Talent Management; Global Strategy; AI and Machine Learning; Analytics and Data Science; Digital Transformation; Digital Strategy; Advertising; Sales; Organizational Culture; Product Development; Decision Making; Technology Adoption; Alignment; Expansion; Food and Beverage Industry; France; Europe
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      Bojinov, Iavor, Edward McFowland III, François Candelon, Nikolina Jonsson, and Emer Moloney. "Pernod Ricard: Uncorking Digital Transformation." Harvard Business School Case 624-095, May 2024.
      • 2023
      • Working Paper

      An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits

      By: Biyonka Liang and Iavor I. Bojinov
      Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details
      Keywords: Analytics and Data Science; AI and Machine Learning; Mathematical Methods
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      Liang, Biyonka, and Iavor I. Bojinov. "An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits." Harvard Business School Working Paper, No. 24-057, March 2024.
      • 2024
      • Working Paper

      Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference

      By: Michael Lindon, Dae Woong Ham, Martin Tingley and Iavor I. Bojinov
      Linear regression adjustment is commonly used to analyze randomized controlled experiments due to its efficiency and robustness against model misspecification. Current testing and interval estimation procedures leverage the asymptotic distribution of such estimators to... View Details
      Keywords: Mathematical Methods; Analytics and Data Science
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      Lindon, Michael, Dae Woong Ham, Martin Tingley, and Iavor I. Bojinov. "Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference." Harvard Business School Working Paper, No. 24-060, March 2024.
      • 2024
      • Working Paper

      Design of Panel Experiments with Spatial and Temporal Interference

      By: Tu Ni, Iavor Bojinov and Jinglong Zhao
      One of the main practical challenges companies face when running experiments (or A/B tests) over a panel is interference, the setting where one experimental unit's treatment assignment at one time period impacts another's outcomes, possibly at the following time... View Details
      Keywords: Research
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      Ni, Tu, Iavor Bojinov, and Jinglong Zhao. "Design of Panel Experiments with Spatial and Temporal Interference." Harvard Business School Working Paper, No. 24-058, March 2024.
      • 2023
      • Working Paper

      Design-Based Inference for Multi-arm Bandits

      By: Dae Woong Ham, Iavor I. Bojinov, Michael Lindon and Martin Tingley
      Multi-arm bandits are gaining popularity as they enable real-world sequential decision-making across application areas, including clinical trials, recommender systems, and online decision-making. Consequently, there is an increased desire to use the available... View Details
      Keywords: Analytics and Data Science; Mathematical Methods
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      Ham, Dae Woong, Iavor I. Bojinov, Michael Lindon, and Martin Tingley. "Design-Based Inference for Multi-arm Bandits." Harvard Business School Working Paper, No. 24-056, March 2024.
      • 2021
      • Working Paper

      Quantifying the Value of Iterative Experimentation

      By: Iavor I Bojinov and Jialiang Mao
      Over the past decade, most technology companies and a growing number of conventional firms have adopted online experimentation (or A/B testing) into their product development process. Initially, A/B testing was deployed as a static procedure in which an experiment was... View Details
      Keywords: Product Development; Value Creation; Research
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      Bojinov, Iavor I., and Jialiang Mao. "Quantifying the Value of Iterative Experimentation." Harvard Business School Working Paper, No. 24-059, March 2024.
      • March 2024
      • Supplement

      Experimentation at Yelp

      By: Iavor Bojinov
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      Bojinov, Iavor. "Experimentation at Yelp." Harvard Business School PowerPoint Supplement 624-081, March 2024.
      • March 2024
      • Teaching Note

      Experimentation at Yelp

      By: Iavor Bojinov and Jessie Li
      Teaching Note for HBS Case No. 621-064. View Details
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      Bojinov, Iavor, and Jessie Li. "Experimentation at Yelp." Harvard Business School Teaching Note 624-080, March 2024.
      • February 2024
      • Teaching Note

      Orchadio's First Two Split Experiments

      By: Iavor I. Bojinov and Jessie Li
      Teaching Note for HBS Case No. 622-015. View Details
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      Bojinov, Iavor I., and Jessie Li. "Orchadio's First Two Split Experiments." Harvard Business School Teaching Note 624-079, February 2024.
      • February 2024
      • Teaching Note

      Data Science at the Warriors

      By: Iavor I Bojinov and Jessie Li
      Teaching Note for HBS Case No. 622-048. View Details
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      Bojinov, Iavor I., and Jessie Li. "Data Science at the Warriors." Harvard Business School Teaching Note 624-077, February 2024.
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