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Publications

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      • 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

      Are You Listening to Me? The Negative Link between Extraversion and Perceived Listening

      By: Francis J Flynn, Hanne Collins and Julian Zlatev
      Extraverts are often characterized as highly social individuals who are highly invested in their interpersonal interactions. We propose that extraverts' interaction partners hold a different view-that extraverts are highly social, but not highly invested. Across six... View Details
      Keywords: Extraversion; Listening; Self-monitoring; Sociability; Interaction; Interpersonal Communication; Perception
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      Flynn, Francis J., Hanne Collins, and Julian Zlatev. "Are You Listening to Me? The Negative Link between Extraversion and Perceived Listening." Personality and Social Psychology Bulletin 49, no. 6 (June 2023): 837–851.
      • 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
      • Article

      Conduit Incentives: Eliciting Cooperation from Workers Outside of Managers' Control

      By: Susanna Gallani
      Can managers use monetary incentives to elicit cooperation from workers they cannot reward for their efforts? I study “conduit incentives,” an innovative incentive design, whereby managers influence bonus-ineligible workers’ effort by offering bonus-eligible employees... View Details
      Keywords: Organizational Behavior Modification; Peer Monitoring; Persistence Of Performance Improvements; Crowding Out; Implicit Incentives; Compensation; Healthcare; Social Pressure; Image Motivation; Incentives; Motivation; Performance; Behavior; Motivation and Incentives; Compensation and Benefits; Governing Rules, Regulations, and Reforms; Organizational Culture; Health Industry; California
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      Gallani, Susanna. "Conduit Incentives: Eliciting Cooperation from Workers Outside of Managers' Control." Accounting Review 93, no. 3 (2023): 1–28.
      • May–June 2023
      • Article

      Need for Speed: The Impact of In-Process Delays on Customer Behavior in Online Retail

      By: Santiago Gallino, Nil Karacaoglu and Antonio Moreno
      The impact of delays has been widely studied in various offline services. The focus of this study is online services, and we explore the impact of in-process delays—measured by website speed—on customer behavior. We leverage novel retail and website speed data to... View Details
      Keywords: Online Retail; Quasi-experiments; Abandonment; Synthetic Control; E-commerce; Internet and the Web; Consumer Behavior; Policy; Retail Industry
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      Gallino, Santiago, Nil Karacaoglu, and Antonio Moreno. "Need for Speed: The Impact of In-Process Delays on Customer Behavior in Online Retail." Operations Research 71, no. 3 (May–June 2023): 876–894.
      • 2024
      • Working Paper

      Operational Impact of Communication Channels: Evidence from Last-Mile Delivery Services

      By: Natalie Epstein, Santiago Gallino and Antonio Moreno
      Communication channels are often used to improve customer satisfaction and behavior. This paper studies how they can be used to enhance operational performance.
      We partner with a last-mile delivery company and, through natural and field experiments, explore... View Details
      Keywords: Customer Satisfaction; Consumer Behavior; Logistics; Communication
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      Epstein, Natalie, Santiago Gallino, and Antonio Moreno. "Operational Impact of Communication Channels: Evidence from Last-Mile Delivery Services." Working Paper, August 2024.
      • May 2023
      • Article

      Political Ideology and International Capital Allocation

      By: Elisabeth Kempf, Mancy Luo, Larissa Schäfer and Margarita Tsoutsoura
      Does investors' political ideology shape international capital allocation? We provide evidence from two settings—syndicated corporate loans and equity mutual funds—to show ideological alignment with foreign governments affects the cross-border capital allocation by... View Details
      Keywords: Capital Flows; Syndicated Loans; Mutual Funds; Partisanship; Polarization; Elections; Political Ideology; Banks and Banking; Institutional Investing; Behavioral Finance; Decision Choices and Conditions
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      Kempf, Elisabeth, Mancy Luo, Larissa Schäfer, and Margarita Tsoutsoura. "Political Ideology and International Capital Allocation." Journal of Financial Economics 148, no. 2 (May 2023): 150–173.
      • May 2023
      • Article

      Self-Preferencing at Amazon: Evidence from Search Rankings

      By: Chiara Farronato, Andrey Fradkin and Alexander MacKay
      We study whether Amazon engages in self-preferencing on its marketplace by favoring its own brands (e.g., Amazon Basics) in search. To address this question, we collect new micro-level consumer search data using a custom browser extension installed by a panel of study... View Details
      Keywords: Consumer Behavior; E-commerce; Product Positioning; Brands and Branding
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      Farronato, Chiara, Andrey Fradkin, and Alexander MacKay. "Self-Preferencing at Amazon: Evidence from Search Rankings." AEA Papers and Proceedings 113 (May 2023): 239–243.
      • May–June 2023
      • Article

      Unmasking Behaviors During the Pandemic with Video Analytics

      By: Shunyuan Zhang, Kaiquan Xu and Kannan Srinivasan
      In 2020, as the novel coronavirus spread globally, face masks were recommended in public settings to protect against and slow down viral transmission. People complied to varying extents, and their reactions may have been driven by a variety of psychological factors.... View Details
      Keywords: COVID-19 Pandemic; Social Influence; Social Norms; Health Pandemics; Behavior
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      Zhang, Shunyuan, Kaiquan Xu, and Kannan Srinivasan. "Unmasking Behaviors During the Pandemic with Video Analytics." Marketing Science 42, no. 3 (May–June 2023): 440–450.
      • April 17, 2023
      • Article

      Crypto-Influencers Give Poor Investment Advice—and the SEC Is Taking Notice

      By: Joseph Pacelli
      Keywords: Cryptocurrency; Power and Influence; Investment; Governing Rules, Regulations, and Reforms; Investment Return; Consumer Behavior
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      Pacelli, Joseph. "Crypto-Influencers Give Poor Investment Advice—and the SEC Is Taking Notice." Promarket (April 17, 2023).
      • 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
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      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).
      • 2024
      • Working Paper

      Using LLMs for Market Research

      By: James Brand, Ayelet Israeli and Donald Ngwe
      Large language models (LLMs) have rapidly gained popularity as labor-augmenting tools for programming, writing, and many other processes that benefit from quick text generation. In this paper we explore the uses and benefits of LLMs for researchers and practitioners... View Details
      Keywords: Large Language Model; Research; AI and Machine Learning; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry
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      Brand, James, Ayelet Israeli, and Donald Ngwe. "Using LLMs for Market Research." Harvard Business School Working Paper, No. 23-062, April 2023. (Revised July 2024.)
      • April 3, 2023
      • Article

      Getting a Clearer View of Your Company’s Carbon Footprint

      By: Robert S. Kaplan, Karthik Ramanna and Stefan Reichelstein
      E-liability accounting is a new technique that will help customers factor in a product’s environmental footprint into their purchasing decisions and will help create a competition dynamic that leads to reduced carbon outputs. This article describes two pilot studies—by... View Details
      Keywords: Environmental Sustainability; Environmental Accounting; Supply Chain; Consumer Behavior
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      Kaplan, Robert S., Karthik Ramanna, and Stefan Reichelstein. "Getting a Clearer View of Your Company’s Carbon Footprint." Harvard Business Review Digital Articles (April 3, 2023).
      • April 2023
      • Article

      Inattentive Inference

      By: Thomas Graeber
      This paper studies how people infer a state of the world from information structures that include additional, payoff-irrelevant states. For example, learning from a customer review about a product’s quality requires accounting for the reviewer’s otherwise irrelevant... View Details
      Keywords: Cognition and Thinking; Information Types; Behavior; Knowledge Acquisition
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      Graeber, Thomas. "Inattentive Inference." Journal of the European Economic Association 21, no. 2 (April 2023): 560–592.
      • Spring 2023
      • Article

      Incentive Contract Design and Employee-Initiated Innovation: Evidence from the Field

      By: Wei Cai, Susanna Gallani and Jee-Eun Shin
      This study examines how the design of incentive contracts for tasks defined as workers’ official responsibilities (i.e., standard tasks) influences workers’ propensity to engage in employee-initiated innovation (EII). EII corresponds to innovation activities that are... View Details
      Keywords: Employee-initiated Innovation; Contract Design; Rank-and-file; Extra-role Behaviors; Compensation and Benefits; Motivation and Incentives; Innovation and Management
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      Cai, Wei, Susanna Gallani, and Jee-Eun Shin. "Incentive Contract Design and Employee-Initiated Innovation: Evidence from the Field." Contemporary Accounting Research 40, no. 1 (Spring 2023): 292–323.
      • April 2023
      • Article

      Perceptions Related to Engaging in Non-driving Activities in an Automated Vehicle While Commuting: A Text Mining Approach

      By: Yilun Xing, Linda Ng Boyle, Raffaella Sadun, John D. Lee, Orit Shaer and Andrew Kun
      Automated vehicles (AVs) offer human operators the opportunity to participate in non-driving activities while on the move. In this study, we examined and compared drivers' perception of non-driving activities in two driving modes: highly AVs in the future and current... View Details
      Keywords: Perception; Behavior; Surveys; Auto Industry
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      Xing, Yilun, Linda Ng Boyle, Raffaella Sadun, John D. Lee, Orit Shaer, and Andrew Kun. "Perceptions Related to Engaging in Non-driving Activities in an Automated Vehicle While Commuting: A Text Mining Approach." Transportation Research Part F: Traffic Psychology and Behaviour 94 (April 2023): 305–320.
      • April 2023
      • Article

      The Preference Survey Module: A Validated Instrument for Measuring Risk, Time, and Social Preferences

      By: Armin Falk, Anke Becker, Thomas Dohmen, David B. Huffman and Uwe Sunde
      Incentivized choice experiments are a key approach to measuring preferences in economics but are also costly. Survey measures are a low-cost alternative but can suffer from additional forms of measurement error due to their hypothetical nature. This paper seeks to... View Details
      Keywords: Survey Validation; Experiment; Preference Measurement; Surveys; Economics; Behavior; Measurement and Metrics
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      Falk, Armin, Anke Becker, Thomas Dohmen, David B. Huffman, and Uwe Sunde. "The Preference Survey Module: A Validated Instrument for Measuring Risk, Time, and Social Preferences." Management Science 69, no. 4 (April 2023): 1935–1950.
      • 2023
      • Working Paper

      Organizational Responses to Product Cycles

      By: Achyuta Adhvaryu, Vittorio Bassi, Anant Nyshadham, Jorge Tamayo and Nicolas Torres
      We use daily administrative data from a leading automobile manufacturer to study the organizational impacts of introducing new models to the auto assembly line. We first show that costly defects per vehicle spike when new models are introduced. As a response, the firm... View Details
      Keywords: Product Quality Upgrading; Product Cycles; Organizational Behavior; Knowledge Hierarchies; Worker Skills; Auto Manufacturing; Training; Organizational Change and Adaptation; Knowledge Management; Production; Product; Organizational Structure; Auto Industry; Argentina
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      Adhvaryu, Achyuta, Vittorio Bassi, Anant Nyshadham, Jorge Tamayo, and Nicolas Torres. "Organizational Responses to Product Cycles." Harvard Business School Working Paper, No. 23-061, March 2023. (Revised August 2023. Revise & Resubmit Journal of Political Economy.)
      • March 31, 2023
      • Article

      What Is the Optimal Pattern of a Customer Journey?

      By: Julian De Freitas
      Even though customer experience (CX) leaders are becoming increasingly focused on optimizing their firms’ customer journeys, they face a clear challenge: Which touchpoints along the journey should they invest in? That is, which moments when the customer interacts with... View Details
      Keywords: Consumer Behavior; Customers; Brands and Branding
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      De Freitas, Julian. "What Is the Optimal Pattern of a Customer Journey?" Harvard Business Review (website) (March 31, 2023).
      • 2023
      • Working Paper

      Deep Responsibility and Irresponsibility in the Beauty Industry

      By: Geoffrey Jones
      This working paper employs the concept of deep responsibility to assess the social responsibility of the beauty industry over time. It shows that many of today’s problems with the industry have deep historical roots. Products have carried too many health hazards.... View Details
      Keywords: Corporate Social Responsibility and Impact; Corporate Accountability; Ethics; Beauty and Cosmetics Industry
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      Jones, Geoffrey. "Deep Responsibility and Irresponsibility in the Beauty Industry." Harvard Business School Working Paper, No. 23-058, March 2023.
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