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Publications

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    • All HBS Web  (2,349)
      • Faculty Publications  (279)

      Randomized Field ExperimentRemove Randomized Field Experiment →

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      • November–December 2023
      • Article

      Iterative Coordination and Innovation: Prioritizing Value over Novelty

      By: Sourobh Ghosh and Andy Wu
      An innovating organization faces the challenge of how to prioritize distinct goals of novelty and value, both of which underlie innovation. Popular practitioner frameworks like Agile management suggest that organizations can adopt an iterative approach of frequent... View Details
      Keywords: Innovation; Novelty; Goals; Specialization; Coordination; Field Experiment; Software Development; Agile; Scrum; Iteration; Iterative; Organizations; Innovation and Invention; Value; Goals and Objectives; Integration; Applications and Software
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      Ghosh, Sourobh, and Andy Wu. "Iterative Coordination and Innovation: Prioritizing Value over Novelty." Organization Science 34, no. 6 (November–December 2023): 2182–2206.
      • 2023
      • Working Paper

      The Buy-In Effect: When Increasing Initial Effort Motivates Behavioral Follow-Through

      By: Holly Dykstra, Shibeal O'Flaherty and A.V. Whillans
      Behavioral interventions often focus on reducing friction to encourage behavior change. In contrast, we provide evidence that adding friction can promote long-term behavior change when behaviors involve repeated costly efforts over longer time horizons. In... View Details
      Keywords: Friction; Behavior; Environmental Sustainability; Transportation; Outcome or Result
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      Dykstra, Holly, Shibeal O'Flaherty, and A.V. Whillans. "The Buy-In Effect: When Increasing Initial Effort Motivates Behavioral Follow-Through." Harvard Business School Working Paper, No. 24-020, October 2023.
      • 2023
      • Working Paper

      Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality

      By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani
      The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine... View Details
      Keywords: Large Language Model; AI and Machine Learning; Performance Efficiency; Performance Improvement
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      Dell'Acqua, Fabrizio, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. "Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality." Harvard Business School Working Paper, No. 24-013, September 2023.
      • September 2023
      • Article

      Addressing Vaccine Hesitancy: Experimental Evidence from Nine Countries during the COVID-19 Pandemic

      By: Vincenzo Galasso, Vincent Pons, Paola Profeta, Martin McKee, David Stuckler, Michael Becher, Sylvain Brouard and Martial Foucault
      We study the impact of public health messages on intentions to vaccinate and vaccination uptakes, especially among hesitant groups. We performed an experiment comparing the effects of egoistic and altruistic messages on COVID-19 vaccine intentions and behaviour. We... View Details
      Keywords: COVID-19; Vaccination; Vaccine Hesitancy; Information Campaigns; Health Pandemics; Behavior; Information
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      Galasso, Vincenzo, Vincent Pons, Paola Profeta, Martin McKee, David Stuckler, Michael Becher, Sylvain Brouard, and Martial Foucault. "Addressing Vaccine Hesitancy: Experimental Evidence from Nine Countries during the COVID-19 Pandemic." BMJ Global Health 8, no. 9 (September 2023).
      • September 2023
      • Article

      Measuring Time Use in Rural India: Design and Validation of a Low-Cost Survey Module

      By: Erica Field, Rohini Pande, Natalia Rigol, Simone Schaner, Elena Stacy and Charity Troyer Moore
      Time use data can help us understand individual labor supply choices, especially for women who often provide unpaid care and home production. Although enumerator-assisted diary-based time use data collection is suitable for low-literacy populations, it is costly and... View Details
      Keywords: Time Use; Measurement and Metrics; Gender; Labor
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      Field, Erica, Rohini Pande, Natalia Rigol, Simone Schaner, Elena Stacy, and Charity Troyer Moore. "Measuring Time Use in Rural India: Design and Validation of a Low-Cost Survey Module." Journal of Development Economics 164 (September 2023): 103105.
      • July–August 2023
      • Article

      Demand Learning and Pricing for Varying Assortments

      By: Kris Ferreira and Emily Mower
      Problem Definition: We consider the problem of demand learning and pricing for retailers who offer assortments of substitutable products that change frequently, e.g., due to limited inventory, perishable or time-sensitive products, or the retailer’s desire to... View Details
      Keywords: Experiments; Pricing And Revenue Management; Retailing; Demand Estimation; Pricing Algorithm; Marketing; Price; Demand and Consumers; Mathematical Methods
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      Ferreira, Kris, and Emily Mower. "Demand Learning and Pricing for Varying Assortments." Manufacturing & Service Operations Management 25, no. 4 (July–August 2023): 1227–1244. (Finalist, Practice-Based Research Competition, MSOM (2021) and Finalist, Revenue Management & Pricing Section Practice Award, INFORMS (2019).)
      • 2023
      • Working Paper

      Much Ado About Nothing? Overreaction to Random Regulatory Audits

      By: Samuel Antill and Joseph Kalmenovitz
      Regulators often audit firms to detect non-compliance. Exploiting a natural experiment in the lobbying industry, we show that firms overreact to audits and this response distorts prices and reduces welfare. Each year, federal regulators audit a random sample of... View Details
      Keywords: Governance Compliance; Governing Rules, Regulations, and Reforms; Price
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      Antill, Samuel, and Joseph Kalmenovitz. "Much Ado About Nothing? Overreaction to Random Regulatory Audits." Working Paper, August 2023.
      • July 2023
      • Article

      Before or After? The Effects of Payment Decision Timing in Pay-What-You-Want Contexts

      By: Raghabendra P. KC, Vincent Mak and Elie Ofek
      We study how payment decision timing—before versus after product delivery—influences consumer payment under pay-what-you-want pricing. We focus on situations where there is minimal change in consumer uncertainty regarding the product before versus after receiving it.... View Details
      Keywords: Price; Behavior; Valuation; Philanthropy and Charitable Giving
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      KC, Raghabendra P., Vincent Mak, and Elie Ofek. "Before or After? The Effects of Payment Decision Timing in Pay-What-You-Want Contexts." Journal of Marketing 87, no. 4 (July 2023): 618–635.
      • July 2023
      • Article

      Design and Analysis of Switchback Experiments

      By: Iavor I Bojinov, David Simchi-Levi and Jinglong Zhao
      In switchback experiments, a firm sequentially exposes an experimental unit to a random treatment, measures its response, and repeats the procedure for several periods to determine which treatment leads to the best outcome. Although practitioners have widely adopted... View Details
      Keywords: Switchback Experiments; Design; Analysis; Mathematical Methods
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      Bojinov, Iavor I., David Simchi-Levi, and Jinglong Zhao. "Design and Analysis of Switchback Experiments." Management Science 69, no. 7 (July 2023): 3759–3777.
      • July 2023
      • Article

      So, Who Likes You? Evidence from a Randomized Field Experiment

      By: Ravi Bapna, Edward McFowland III, Probal Mojumder, Jui Ramaprasad and Akhmed Umyarov
      With one-third of marriages in the United States beginning online, online dating platforms have become important curators of the modern social fabric. Prior work on online dating has elicited two critical frictions in the heterosexual dating market. Women, governed by... View Details
      Keywords: Online Dating; Internet and the Web; Analytics and Data Science; Gender; Emotions; Social and Collaborative Networks
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      Bapna, Ravi, Edward McFowland III, Probal Mojumder, Jui Ramaprasad, and Akhmed Umyarov. "So, Who Likes You? Evidence from a Randomized Field Experiment." Management Science 69, no. 7 (July 2023): 3939–3957.
      • 2023
      • Working Paper

      Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation

      By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov
      Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details
      Keywords: Performance Evaluation; Research and Development; Analytics and Data Science; Consumer Behavior
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      Ham, Dae Woong, Michael Lindon, Martin Tingley, and Iavor Bojinov. "Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation." Harvard Business School Working Paper, No. 23-070, May 2023.
      • June 2023
      • Article

      Do Job Seekers Value Diversity Information? Evidence from a Field Experiment and Human Capital Disclosures

      By: Jung Ho Choi, Joseph Pacelli, Kristina M. Rennekamp and Sorabh Tomar
      We examine how information about the diversity of a potential employer's workforce affects individuals’ job-seeking behavior. We embed a field experiment in job recommendation emails from a leading career advice agency in the U.S. The experimental treatment involves... View Details
      Keywords: Diversity; Job Search; Employees; Corporate Disclosure
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      Choi, Jung Ho, Joseph Pacelli, Kristina M. Rennekamp, and Sorabh Tomar. "Do Job Seekers Value Diversity Information? Evidence from a Field Experiment and Human Capital Disclosures." Journal of Accounting Research 61, no. 3 (June 2023): 695–735.
      • June 2023
      • Article

      The Salary Taboo: Privacy Norms and the Diffusion of Information

      By: Zoë Cullen and Ricardo Perez-Truglia
      The limited diffusion of salary information has implications for labor markets, such as wage discrimination policies and collective bargaining. Access to salary information is believed to be limited and unequal, but there is little direct evidence on the sources of... View Details
      Keywords: Search Costs; Privacy; Norms; Compensation; Financial Industry; Field Experiment; Knowledge Dissemination; Equality and Inequality; Gender; Compensation and Benefits; Societal Protocols
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      Cullen, Zoë, and Ricardo Perez-Truglia. "The Salary Taboo: Privacy Norms and the Diffusion of Information." Art. 104890. Journal of Public Economics 222 (June 2023).
      • 2023
      • Working Paper

      Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs

      By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez
      Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure... View Details
      Keywords: STEM; Selection and Staffing; Gender; Prejudice and Bias; Training; Equality and Inequality; Competency and Skills
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      Lane, Jacqueline N., Karim R. Lakhani, and Roberto Fernandez. "Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs." Harvard Business School Working Paper, No. 23-066, April 2023. (Accepted by Organization Science.)
      • 2023
      • Working Paper

      Culture as a Signal: Evidence from a Natural Field Experiment

      By: Wei Cai, Dennis Campbell and Jiehang Yu
      The importance of culture as an informal management control system is increasingly acknowledged in academia. While prior research mainly focuses on the value of culture on internal stakeholders (e.g., employees), we examine whether culture serves as a credible signal... View Details
      Keywords: Organizational Culture; Groups and Teams; Customer Focus and Relationships
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      Cai, Wei, Dennis Campbell, and Jiehang Yu. "Culture as a Signal: Evidence from a Natural Field Experiment." SSRN Working Paper Series, No. 4447603, May 2023.
      • April 2023
      • Article

      A Field Experiment on Subgoal Framing to Boost Volunteering: The Trade-off Between Goal Granularity and Flexibility

      By: Aneesh Rai, Marissa A. Sharif, Edward H. Chang, Katherine L. Milkman and Angela L. Duckworth
      Research suggests that breaking overarching goals into more granular subgoals is beneficial for goal progress. However, making goals more granular often involves reducing the flexibility provided to complete them, and recent work shows that flexibility can also be... View Details
      Keywords: Goals and Objectives; Outcome or Result; Performance Improvement
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      Rai, Aneesh, Marissa A. Sharif, Edward H. Chang, Katherine L. Milkman, and Angela L. Duckworth. "A Field Experiment on Subgoal Framing to Boost Volunteering: The Trade-off Between Goal Granularity and Flexibility." Journal of Applied Psychology 108, no. 4 (April 2023): 621–634.
      • April 2023
      • Article

      Learning Down to Train Up: Mentors Are More Effective When They Value Insights from Below

      By: Ting Zhang, Dan Wang and Adam D. Galinsky
      Although mentorship is vital for individual success, potential mentors often view it as a costly burden. To understand what motivates mentors to overcome this barrier and more fully engage with their mentees, we introduce a new construct, learning direction, which... View Details
      Keywords: Mentoring; Learning Direction; Interpersonal Communication; Learning; Leadership Development
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      Zhang, Ting, Dan Wang, and Adam D. Galinsky. "Learning Down to Train Up: Mentors Are More Effective When They Value Insights from Below." Academy of Management Journal 66, no. 2 (April 2023): 604–637.
      • 2023
      • Chapter

      Marketing Through the Machine’s Eyes: Image Analytics and Interpretability

      By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan
      he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the... View Details
      Keywords: Transparency; Marketing Research; Algorithmic Bias; AI and Machine Learning; Marketing
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      Zhang, Shunyuan, Flora Feng, and Kannan Srinivasan. "Marketing Through the Machine’s Eyes: Image Analytics and Interpretability." Chap. 8 in Artificial Intelligence in Marketing. 20, edited by Naresh K. Malhotra, K. Sudhir, and Olivier Toubia, 217–238. Review of Marketing Research. Emerald Publishing Limited, 2023.
      • February 2023
      • Article

      Increasing the Demand for Workers with a Criminal Record

      By: Zoë Cullen, Will Dobbie and Mitchell Hoffman
      State and local policies increasingly restrict employers’ access to criminal records, but without addressing the underlying reasons that employers may conduct criminal background checks. Employers may thus still want to ask about a job applicant’s criminal record... View Details
      Keywords: Criminal Record; Hiring; Background Checks; Recruitment; Insurance
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      Cullen, Zoë, Will Dobbie, and Mitchell Hoffman. "Increasing the Demand for Workers with a Criminal Record." Quarterly Journal of Economics 138, no. 1 (February 2023): 103–150.
      • 2023
      • Working Paper

      Life After Death: A Field Experiment with Small Businesses on Information Frictions, Stigma, and Bankruptcy

      By: Shai Benjamin Bernstein, Emanuele Colonnelli, Mitchell Hoffman and Benjamin Iverson
      In a randomized control trial (RCT) with U.S. small businesses, we document that a large share of firms are not well-informed about bankruptcy. Many assume that bankruptcy necessarily entails the death of a business and do not know about Chapter 11 bankruptcy, where... View Details
      Keywords: Small Business; Insolvency and Bankruptcy; Knowledge Dissemination; Outcome or Result
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      Bernstein, Shai Benjamin, Emanuele Colonnelli, Mitchell Hoffman, and Benjamin Iverson. "Life After Death: A Field Experiment with Small Businesses on Information Frictions, Stigma, and Bankruptcy." NBER Working Paper Series, No. 30933, February 2023.
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