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Publications

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    • Faculty Publications  (363)

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    • All HBS Web  (2,548)
      • Faculty Publications  (363)

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      • 2023
      • White Paper

      Hidden Workers: Part-Time Potential

      By: Joseph B. Fuller, Manjari Raman and Francis Hintermann
      As employers continue to encounter major skills shortages, many qualified and willing workers remain unemployed or underemployed. These “hidden workers,” ignored by employers for a variety of reasons, represent a potential source of much-needed labor. In our initial... View Details
      Keywords: Employment; Recruitment; Jobs and Positions
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      Fuller, Joseph B., Manjari Raman, and Francis Hintermann. "Hidden Workers: Part-Time Potential." White Paper, Harvard Business School Project on Managing the Future of Work, March 2023.
      • March 2022
      • Article

      Learning to Rank an Assortment of Products

      By: Kris Ferreira, Sunanda Parthasarathy and Shreyas Sekar
      We consider the product ranking challenge that online retailers face when their customers typically behave as “window shoppers”: they form an impression of the assortment after browsing products ranked in the initial positions and then decide whether to continue... View Details
      Keywords: Online Learning; Product Ranking; Assortment Optimization; Learning; Internet and the Web; Product Marketing; Consumer Behavior; E-commerce
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      Ferreira, Kris, Sunanda Parthasarathy, and Shreyas Sekar. "Learning to Rank an Assortment of Products." Management Science 68, no. 3 (March 2022): 1828–1848.
      • Article

      A 680,000-Person Megastudy of Nudges to Encourage Vaccination in Pharmacies

      By: Katherine L. Milkman, Linnea Gandhi, Mitesh S. Patel, Heather N. Graci, Dena M. Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Jake Rothschild, Jonathan E. Bogard, Ilana Brody, Christopher F. Chabris, Edward Chang, Gretchen B. Chapman, Jennifer E. Dannals, Noah J. Goldstein, Amir Goren, Hal Hershfield, Alex Hirsch, Jillian Hmurovic, Samantha Horn, Dean Karlan, Ariella S. Kristal, Cait Lamberton, Michael N. Meyer, Allison H. Oakes, Maurice E. Schweitzer, Maheen Shermohammed, Jaochim H. Talloen, Caleb Warren, Ashley V. Whillans, Kuldeep N. Yadav, Julian J. Zlatev, Ron Berman, Chalanda N. Evans, Rahul Ladhania, Jens Ludwig, Nina Mazar, Sendhil Mullainathan, Christopher K. Snider, Jann Spiess, Eli Tsukayama, Lyle Ungar, Christophe Van den Bulte, Kevin G. Volpp and Angela L. Duckworth
      Encouraging vaccination is a pressing policy problem. To assess whether text-based reminders can encourage pharmacy vaccination and what kinds of messages work best, we conducted a megastudy. We randomly assigned 689,693 Walmart pharmacy patients to receive one of 22... View Details
      Keywords: Vaccination; Vaccines; Nudges; Communication Strategy; Communication Technology; Consumer Behavior; Health Care and Treatment
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      Milkman, Katherine L., Linnea Gandhi, Mitesh S. Patel, Heather N. Graci, Dena M. Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Jake Rothschild, Jonathan E. Bogard, Ilana Brody, Christopher F. Chabris, Edward Chang, Gretchen B. Chapman, Jennifer E. Dannals, Noah J. Goldstein, Amir Goren, Hal Hershfield, Alex Hirsch, Jillian Hmurovic, Samantha Horn, Dean Karlan, Ariella S. Kristal, Cait Lamberton, Michael N. Meyer, Allison H. Oakes, Maurice E. Schweitzer, Maheen Shermohammed, Jaochim H. Talloen, Caleb Warren, Ashley V. Whillans, Kuldeep N. Yadav, Julian J. Zlatev, Ron Berman, Chalanda N. Evans, Rahul Ladhania, Jens Ludwig, Nina Mazar, Sendhil Mullainathan, Christopher K. Snider, Jann Spiess, Eli Tsukayama, Lyle Ungar, Christophe Van den Bulte, Kevin G. Volpp, and Angela L. Duckworth. "A 680,000-Person Megastudy of Nudges to Encourage Vaccination in Pharmacies." e2115126119. Proceedings of the National Academy of Sciences 119, no. 6 (February 8, 2022).
      • December 2021
      • Case

      Burning Glass Technologies: From Data to Product

      By: Suraj Srinivasan and Amy Klopfenstein
      In May 2021, Matt Sigelman, CEO of Burning Glass Technologies, a company that provided labor market analytics for a variety of markets, navigates his company’s transition from data company to product company. Burning Glass originated as a service that used artificial... View Details
      Keywords: Information Technology; Applications and Software; Digital Platforms; Internet and the Web; Strategy; Expansion; Business Strategy; Labor; Employment; Human Capital; Jobs and Positions; Job Design and Levels; Job Search; Human Resources; Selection and Staffing; Recruitment; Employees; Retention; Competency and Skills; Experience and Expertise; Talent and Talent Management; Analytics and Data Science; Business Model; Technology Industry; North and Central America; United States
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      Srinivasan, Suraj, and Amy Klopfenstein. "Burning Glass Technologies: From Data to Product." Harvard Business School Case 122-015, December 2021.
      • Article

      Counterfactual Explanations Can Be Manipulated

      By: Dylan Slack, Sophie Hilgard, Himabindu Lakkaraju and Sameer Singh
      Counterfactual explanations are useful for both generating recourse and auditing fairness between groups. We seek to understand whether adversaries can manipulate counterfactual explanations in an algorithmic recourse setting: if counterfactual explanations indicate... View Details
      Keywords: Machine Learning Models; Counterfactual Explanations
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      Slack, Dylan, Sophie Hilgard, Himabindu Lakkaraju, and Sameer Singh. "Counterfactual Explanations Can Be Manipulated." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
      • 2021
      • Article

      ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation

      By: Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiCarlo, Joshua B. Tenenbaum, Josh H. McDermott and Daniel L.K. Yamins
      We introduce ThreeDWorld (TDW), a platform for interactive multi-modal physical simulation. TDW enables simulation of high-fidelity sensory data and physical interactions between mobile agents and objects in rich 3D environments. Unique properties include: real-time... View Details
      Keywords: Artificial Intelligence; Platform; Interactive Physical Simulation; Virtual Environment; Multi-modal; AI and Machine Learning
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      Gan, Chuang, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiCarlo, Joshua B. Tenenbaum, Josh H. McDermott, and Daniel L.K. Yamins. "ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 35th (2021).
      • November 15, 2021
      • Article

      What Do Black Executives Really Want?

      By: Frank Cooper III and Ranjay Gulati
      Recruiting and retaining Black talent is a priority for many organizations. Most are committed to and investing in diversity, equity, and inclusion (DEI). And yet, according to interviews and focus groups with Black executives working in a variety of blue-chip... View Details
      Keywords: Black Executives; Selection and Staffing; Retention; Race; Organizational Culture; Change Management
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      Cooper, Frank, III, and Ranjay Gulati. "What Do Black Executives Really Want?" Harvard Business Review (website) (November 15, 2021).
      • October 2021
      • Article

      Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach

      By: Nicolas Padilla and Eva Ascarza
      The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
      Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Programs; Consumer Behavior; Analysis
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      Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Journal of Marketing Research (JMR) 58, no. 5 (October 2021): 981–1006.
      • September 28, 2021
      • Editorial

      A Guide to Implementing the 4-Day Workweek

      By: A.V. Whillans and Charlotte Lockhart
      As organizations continue to explore a variety of flexible work options, one promising avenue is the four-day workweek: The standard 40 hours per week is reduced to 32 hours, with the same pay and the same productivity expectations. Research suggests reducing hours can... View Details
      Keywords: Workweek; Stress; Employees; Health; Performance Productivity; Organizational Change and Adaptation
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      Whillans, A.V., and Charlotte Lockhart. "A Guide to Implementing the 4-Day Workweek." Harvard Business Review (website) (September 28, 2021).
      • Article

      What Evolution Can Teach Us About Innovation

      By: Noubar Afeyan and Gary P. Pisano
      Many people believe that the process for achieving breakthrough innovations is chaotic, random, and unmanageable. But that view is flawed, the authors argue. Breakthroughs can be systematically generated using a process modeled on the principles that drive evolution in... View Details
      Keywords: Breakthrough Innovation; Variance Generation; Selection Pressure; Emergent Discovery; Innovation and Invention; Value Creation; Innovation Leadership
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      Afeyan, Noubar, and Gary P. Pisano. "What Evolution Can Teach Us About Innovation." Harvard Business Review 99, no. 5 (September–October 2021): 62–72.
      • 2021
      • Working Paper

      The Value of Data and Its Impact on Competition

      By: Marco Iansiti
      Common regulatory perspective on the relationship between data, value, and competition in online platforms has increasingly centered on the volume of data accumulated by incumbent firms. This view posits the existence of "data network effects," where more data leads to... View Details
      Keywords: Online Platforms; Data Network Effects; Analytics and Data Science; Value; Competition; Digital Platforms
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      Iansiti, Marco. "The Value of Data and Its Impact on Competition." Harvard Business School Working Paper, No. 22-002, July 2021.
      • July 2021
      • Article

      Information Transparency, Multihoming, and Platform Competition: A Natural Experiment in the Daily Deals Market

      By: Hui Li and Feng Zhu
      Platform competition is shaped by the likelihood of multi-homing (i.e., complementors or consumers adopt more than one platform). To take advantage of multi-homing, platform firms often attempt to motivate their rivals’ high-performing complementors to adopt their own... View Details
      Keywords: Platform Competition; Multi-homing; Information Transparency; Daily Deals; Groupon; LivingSocial; Digital Platforms; Information; Competition
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      Li, Hui, and Feng Zhu. "Information Transparency, Multihoming, and Platform Competition: A Natural Experiment in the Daily Deals Market." Management Science 67, no. 7 (July 2021): 4384–4407.
      • 2021
      • Working Paper

      Equilibrium Effects of Pay Transparency

      By: Zoë B. Cullen and Bobak Pakzad-Hurson
      The public discourse around pay transparency has focused on the direct effect: how workers seek to rectify newly-disclosed pay inequities through renegotiations. The question of how wage-setting and hiring practices of the firm respond in equilibrium has received... View Details
      Keywords: Pay Transparency; Online Labor Market; Privacy; Wage Gap; Negotiation; Corporate Disclosure; Compensation and Benefits; Gender
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      Cullen, Zoë B., and Bobak Pakzad-Hurson. "Equilibrium Effects of Pay Transparency." Working Paper, June 2021. (Econometrica, Vol 91, No. 3 (May, 2023), 765-802.)
      • 2021
      • Article

      Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring

      By: Tom Sühr, Sophie Hilgard and Himabindu Lakkaraju
      Ranking algorithms are being widely employed in various online hiring platforms including LinkedIn, TaskRabbit, and Fiverr. Prior research has demonstrated that ranking algorithms employed by these platforms are prone to a variety of undesirable biases, leading to the... View Details
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      Sühr, Tom, Sophie Hilgard, and Himabindu Lakkaraju. "Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society 4th (2021).
      • March 2021 (Revised January 2022)
      • Case

      Philips: Redefining Telehealth

      By: Regina E. Herzlinger, Alec Petersen, Natalie Kindred and Sara M. McKinley
      As one of the world’s largest healthcare companies, Philips sought to reach beyond the walls of the hospital and expand its hospital-to-home program to gain future competitive advantage through technology solutions combining predictive analytics with care delivery. By... View Details
      Keywords: Health Care; Philips; Visicu; Telemedicine; eICU; Accountable Care Organization; ACO; Bundled Payment; Hospital To Home; Patient Monitoring Devices; Home Health Care; Health Care and Treatment; Communication Technology; Quality; Safety; Performance Productivity; Performance Capacity; Performance Efficiency; Consumer Behavior; Emerging Markets; Health Industry; Telecommunications Industry; Netherlands
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      Herzlinger, Regina E., Alec Petersen, Natalie Kindred, and Sara M. McKinley. "Philips: Redefining Telehealth." Harvard Business School Case 321-135, March 2021. (Revised January 2022.) (As companion reading for this case, see: Regina E. Herzlinger and Charles Huang. "Note on Bundled Payment in Health Care," HBS Background Note 312-032.)
      • March 2021 (Revised May 2021)
      • Case

      ALDDN: Advancing Local Dairy Development in Nigeria

      By: Meg Rithmire and Debora L. Spar
      In 2020, Ndidi Nwuneli, founder and CEO of Sahel Consulting in Nigeria, faced a thorny set of problems. Her firm partnered with the Bill and Melinda Gates Foundation in a large project to develop the local dairy industry as a way to facilitate equitable growth and... View Details
      Keywords: Animal-Based Agribusiness; Food; Rural Scope; Growth and Development; Nonprofit Organizations; Globalized Markets and Industries; Business and Government Relations; Equality and Inequality; Food and Beverage Industry; Consulting Industry; Nigeria
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      Rithmire, Meg, and Debora L. Spar. "ALDDN: Advancing Local Dairy Development in Nigeria." Harvard Business School Case 721-026, March 2021. (Revised May 2021.)
      • March 2021
      • Article

      Targeted Price Controls on Supermarket Products

      By: Alberto Cavallo and Diego Aparicio
      We study the impact of targeted price controls for supermarket products in Argentina from 2007 to 2015. Using web scraping, we collected daily prices for controlled and non-controlled goods and measured the differential effects on inflation, product availability, and... View Details
      Keywords: Prices; Controls; Price Dispersion; Economics; Price; Cost Management; Goods and Commodities; Retail Industry; Argentina
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      Cavallo, Alberto, and Diego Aparicio. "Targeted Price Controls on Supermarket Products." Review of Economics and Statistics 103, no. 1 (March 2021): 60–71.
      • February 2021 (Revised May 2021)
      • Case

      SafeGraph: Selling Data as a Service

      By: Ramana Nanda, Abhishek Nagaraj and Allison Ciechanover
      Set in January 2021, the CEO of SafeGraph, a four-year-old startup that sold Data as a Service, looked to the future. His aim was to become the most trusted source for data about a physical place. The company provided points of interest (POI) and foot traffic data on... View Details
      Keywords: Data As A Service; Monetization; Pricing; Business Startups; Analytics and Data Science; Consumer Behavior; Analysis; Business Model; Health Pandemics; Information Industry; United States
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      Nanda, Ramana, Abhishek Nagaraj, and Allison Ciechanover. "SafeGraph: Selling Data as a Service." Harvard Business School Case 821-082, February 2021. (Revised May 2021.)
      • February 2021
      • Tutorial

      What is AI?

      By: Tsedal Neeley
      This video explores the elements that constitute artificial intelligence (AI). From its mathematical basis to current advances in AI, this video introduces students to data, tools, and statistical models that make a computer 'intelligent.' Through an explanation of... View Details
      Keywords: Artificial Intelligence; Digital; Technological Innovation; Leadership; AI and Machine Learning; Mathematical Methods
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      Neeley, Tsedal. What is AI? Harvard Business School Tutorial 421-713, February 2021. (https://hbsp.harvard.edu/product/421713-HTM-ENG?Ntt=tsedal%20neeley%20what%20is%20ai.)
      • February 2021
      • Article

      Assessment of Electronic Health Record Use Between U.S. and Non-U.S. Health Systems

      By: A Jay Holmgren, Lance Downing, David W. Bates, Tait D. Shanafelt, Arnold Milstein, Christopher Sharp, David Cutler, Robert S. Huckman and Kevin A. Schulman
      Importance: Understanding how the electronic health record (EHR) system changes clinician work, productivity, and well-being is critical. Little is known regarding global variation in patterns of use.
      Objective: To provide insights into which EHR... View Details
      Keywords: Electronic Health Records; Health Care and Treatment; Online Technology; Health Industry; Information Technology Industry
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      Holmgren, A Jay, Lance Downing, David W. Bates, Tait D. Shanafelt, Arnold Milstein, Christopher Sharp, David Cutler, Robert S. Huckman, and Kevin A. Schulman. "Assessment of Electronic Health Record Use Between U.S. and Non-U.S. Health Systems." JAMA Internal Medicine 181, no. 2 (February 2021): 251–259.
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