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- All HBS Web
(12,477)
- Faculty Publications (1,593)
- June 2023
- Simulation
Artea Dashboard and Targeting Policy Evaluation
By: Ayelet Israeli and Eva Ascarza
Companies deploy A/B experiments to gain valuable insights about their customers in order to answer strategic business problems. In marketing, A/B tests are often used to evaluate marketing interventions intended to generate incremental outcomes for the firm. The Artea... View Details
Keywords: Algorithm Bias; Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; United States
- 2023
- Working Paper
Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness
By: Neil Menghani, Edward McFowland III and Daniel B. Neill
In this paper, we develop a new criterion, "insufficiently justified disparate impact" (IJDI), for assessing whether recommendations (binarized predictions) made by an algorithmic decision support tool are fair. Our novel, utility-based IJDI criterion evaluates false... View Details
Menghani, Neil, Edward McFowland III, and Daniel B. Neill. "Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness." Working Paper, June 2023.
- June 2023
- Exercise
Experimenting with Algorithm Resume Screening
By: Michael Luca, Jesse M. Shapiro, Adrian Obleton, Evelyn Ramirez and Nathan Sun
- 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
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
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.
- 2023
- Article
Provable Detection of Propagating Sampling Bias in Prediction Models
By: Pavan Ravishankar, Qingyu Mo, Edward McFowland III and Daniel B. Neill
With an increased focus on incorporating fairness in machine learning models, it becomes imperative not only to assess and mitigate bias at each stage of the machine learning pipeline but also to understand the downstream impacts of bias across stages. Here we consider... View Details
Ravishankar, Pavan, Qingyu Mo, Edward McFowland III, and Daniel B. Neill. "Provable Detection of Propagating Sampling Bias in Prediction Models." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 8 (2023): 9562–9569. (Presented at the 37th AAAI Conference on Artificial Intelligence (2/7/23-2/14/23) in Washington, DC.)
- 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
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).
- June, 2023
- Article
Walking the Purpose-Talk Inside a Large Company: Sustainable Product Development as an Instance of Divergent Change
By: Marissa Kimsey, Thijs Geradts and Julie Battilana
There is a growing interest in large companies pursuing a new purpose—changing their core reason for being from a singular focus on financial gain to a renewed responsibility to people and the planet alongside profit. Yet knowledge of how a large company can walk that... View Details
Kimsey, Marissa, Thijs Geradts, and Julie Battilana. "Walking the Purpose-Talk Inside a Large Company: Sustainable Product Development as an Instance of Divergent Change." Special Issue on Corporate Purpose. Strategy Science 8, no. 2 (June, 2023): 311–321.
- May 2023
- Technical Note
Dynamic Pricing: Timing is Everything
By: Elie Ofek
This note provides a comprehensive exposition to the topic of dynamic pricing (whereby the fee customers are charged is time-dependent). It covers the motivation for firms to engage in dynamic pricing, provides a typology of the main formats dynamic pricing can take,... View Details
Ofek, Elie. "Dynamic Pricing: Timing is Everything." Harvard Business School Technical Note 523-110, May 2023.
- May 2023
- Teaching Note
Away: Scaling a DTC Travel Brand
By: Joseph B. Fuller and Jill Avery
Teaching Note for HBS Case No. 520-051. Away, a direct-to-consumer, digital native e-commerce seller of travel luggage, is debating how to invest its latest round of venture funding. How quickly could and should Away scale and what were the most promising growth... View Details
- May 2023
- Supplement
Sian Flowers: Fresher by Sea - Video Supplement
By: Willy C. Shih
The setting for this case is the Sian Flowers, a company headquartered in Kitengela, Kenya that exports roses to predominantly Europe. Because cut flowers have a limited shelf life and consumers want them to retain their appearance for as long as possible, Sian or its... View Details
Keywords: Supply Chain; Supply Chains; Sustainability; Sustainable Agriculture; Sustainability Reporting; Carbon Emissions; Supply Chain Management; Quality; Ship Transportation; Cost Management; Agriculture and Agribusiness Industry; Africa; Kenya; Netherlands; Europe
Shih, Willy C. "Sian Flowers: Fresher by Sea - Video Supplement." Harvard Business School Multimedia/Video Supplement 623-713, May 2023.
- May 11, 2020
- Article
Steer Your Family Businesses Through an Unplanned Transition
By: Josh Baron and Nick Di Loreto
In a perfect world, family businesses will transition leadership from one generation to the next along a predictable and well-planned process — whether that’s determined within the business, the ownership group, or the family itself — passing the baton after years of... View Details
Baron, Josh, and Nick Di Loreto. "Steer Your Family Businesses Through an Unplanned Transition." Harvard Business Review (website) (May 11, 2020).
- 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
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
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.
- Article
Do Citizens’ Preferences Matter? Shaping Legislator Attitudes Towards Peace Agreements
By: Miguel García-Sánchez, Aila M. Matanock and Natalia Garbiras-Díaz
To what extent are legislators, responsible for the implementation of many peace agreements, responsive to citizens’ preferences? Examining the 2016 Colombian peace agreement, we embed an experiment in the 2019 wave of a survey of all the members of Congress. We inform... View Details
Keywords: Legislation; Legislators; Peace Process; Agreements; Govenment; Voters' Interests; Governance; Government and Politics; Voting; Policy; Governing Rules, Regulations, and Reforms; Latin America; Colombia
García-Sánchez, Miguel, Aila M. Matanock, and Natalia Garbiras-Díaz. "Do Citizens’ Preferences Matter? Shaping Legislator Attitudes Towards Peace Agreements." Journal of Conflict Resolution 67, no. 5 (May 2023): 893–922.
- May 2023
- Article
Do Internal Control Weaknesses Affect Firms' Demand for Financial Skills? Evidence from U.S. Job Postings
By: Janet Gao, Kenneth J. Merkley, Joseph Pacelli and Joseph H. Schroeder
Ineffective internal controls over financial reporting often relates to a lack of qualified personnel with sufficient accounting and technical expertise. In this study, we examine whether firms respond to internal control failures by increasing their demand for... View Details
Keywords: Internal Controls; Labor Demand; Accounting; Financial Reporting; Experience and Expertise; Recruitment; Competency and Skills; Corporate Finance
Gao, Janet, Kenneth J. Merkley, Joseph Pacelli, and Joseph H. Schroeder. "Do Internal Control Weaknesses Affect Firms' Demand for Financial Skills? Evidence from U.S. Job Postings." Accounting Review 98, no. 3 (May 2023): 203–228.
- April 12, 2023
- Article
Using AI to Adjust Your Marketing and Sales in a Volatile World
By: Das Narayandas and Arijit Sengupta
Why are some firms better and faster than others at adapting their use of customer data to respond to changing or uncertain marketing conditions? A common thread across faster-acting firms is the use of AI models to predict outcomes at various stages of the customer... View Details
Keywords: Forecasting and Prediction; AI and Machine Learning; Consumer Behavior; Technology Adoption; Competitive Advantage
Narayandas, Das, and Arijit Sengupta. "Using AI to Adjust Your Marketing and Sales in a Volatile World." Harvard Business Review Digital Articles (April 12, 2023).
- April 2023 (Revised February 2024)
- Case
AI Wars
By: Andy Wu, Matt Higgins, Miaomiao Zhang and Hang Jiang
In February 2024, the world was looking to Google to see what the search giant and long-time putative technical leader in artificial intelligence (AI) would do to compete in the massively hyped technology of generative AI. Over a year ago, OpenAI released ChatGPT, a... View Details
Keywords: AI; Artificial Intelligence; AI and Machine Learning; Technology Adoption; Competitive Strategy; Technological Innovation
Wu, Andy, Matt Higgins, Miaomiao Zhang, and Hang Jiang. "AI Wars." Harvard Business School Case 723-434, April 2023. (Revised February 2024.)
- 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
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.
- 2023
- Working Paper
Feature Importance Disparities for Data Bias Investigations
By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.