Publications

22 Nov 2023
Research & Ideas

Humans vs. Machines: Untangling the Tasks AI Can (and Can't) Handle

consultants using AI were 19 percentage points less likely to produce the right answer. “Organizations need an experimental mindset where they implement a methodical test-and-learn approach.” How to tell which tasks fall on which side of... View Details

Keywords: by Rachel Layne; Information Technology; Technology

13 Feb 2024
Research & Ideas

Breaking Through the Self-Doubt That Keeps Talented Women from Leading

this so much because it resonates with people, so we set out to do empirical work around that: Is this indeed the pattern we see in an experimental context? If it is, what might we be able to do about it?” she says. As it turns out,... View Details

Keywords: by Kara Baskin

January 2019
Article

Wage Elasticities in Working and Volunteering: The Role of Reference Points in a Laboratory Study

By: Christine L. Exley and Stephen J. Terry

We experimentally test how effort responds to wages—randomly assigned to accrue to individuals or to a charity—in the presence of expectations-based reference points or targets. When individuals earn money for themselves, higher wages lead to higher effort with... View Details

Keywords: Reference Points; Wage Elasticities; Labor Supply; Effor; Volunteering; Prosocial Behavior; Wages; Motivation and Incentives; Nonprofit Organizations; Behavior

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2017
Working Paper

Equality and Equity in Compensation

By: Jiayi Bao and Andy Wu

Equity compensation is widely used for incentivizing skilled employees, particularly in new technology businesses. Traditional theories explaining why firms offer equity suggest that workers with higher rank should receive compensation packages more heavily weighted in... View Details

Keywords: Inequality Aversion; Compensation; Stock Options; Scarcity; Experiment; Compensation and Benefits; Equity; Equality and Inequality; Perception

2009
Working Paper

Varied Experience, Team Familiarity, and Learning: The Mediating Role of Psychological Safety

By: Bradley R. Staats, Francesca Gino and Gary P. Pisano

Prior work examining the relationship of varied experience (i.e., the concurrent completion of multiple tasks) and learning by groups finds inconsistent results. We hypothesize that team familiarity, i.e, individuals' prior shared work experience, may help explain this... View Details

Keywords: Experience and Expertise; Learning; Performance Effectiveness; Groups and Teams; Social Psychology; Familiarity

November 2024
Supplement

AlphaGo (C): Birth of a New Intelligence

By: Shikhar Ghosh and Shweta Bagai

This case, the final of a three-part series, explores DeepMind's pivotal transition from mastering games to solving real-world scientific challenges. In December 2020, DeepMind's AI system AlphaFold 2 achieved a breakthrough by solving protein folding—a 50-year-old... View Details

Keywords: Autonomy; Deep Learning; Drug Discovery; Healthcare Innovation; Neural Networks; Scientific Research; Technology Startup; AI and Machine Learning; Technological Innovation; Research and Development; Business Model; Business Strategy; Open Source Distribution; Technology Industry; United States

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2022
Conference Presentation

Towards the Unification and Robustness of Post hoc Explanation Methods

By: Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu and Himabindu Lakkaraju

As machine learning black boxes are increasingly being deployed in critical domains such as healthcare and criminal justice, there has been a growing emphasis on developing techniques for explaining these black boxes in a post hoc manner. In this work, we analyze two... View Details

Keywords: AI and Machine Learning

2021
Chapter

Towards a Unified Framework for Fair and Stable Graph Representation Learning

By: Chirag Agarwal, Himabindu Lakkaraju and Marinka Zitnik

As the representations output by Graph Neural Networks (GNNs) are increasingly employed in real-world applications, it becomes important to ensure that these representations are fair and stable. In this work, we establish a key connection between counterfactual... View Details

Keywords: Graph Neural Networks; AI and Machine Learning; Prejudice and Bias

May–June 2019
Article

U-Shaped Conformity in Online Social Networks

By: Monic Sun, Michael Zhang and Feng Zhu

We explore how people balance their needs to belong and to be different from their friends by studying their choices of a virtual-house wall color on a leading Chinese social-networking site. The setting enables us to randomize both the popular color and the adoption... View Details

Keywords: Conformity; Normative Social Influence; Social Networks; Field Experiment; Social and Collaborative Networks; Behavior; Attitudes; Social Media

2015
Chapter

Leading Proactive Punctuated Change

By: Michael Tushman, Charles O'Reilly and Bruce Harreld

This chapter focuses on leading proactive punctuated change. Based on the institutional and organizational change literatures and our extended involvement with IBM between 1999 and 2008, we suggest that proactive punctuated change can be effectively managed through an... View Details

2011
Working Paper

Observation Bias: The Impact of Demand Censoring on Newsvendor Level and Adjustment Behavior

By: David F. Drake

In an experimental newsvendor setting we investigate three phenomena: Level behavior — the decision-maker's average ordering tendency; adjustment behavior — the tendency to adjust period-to-period order quantities; and observation bias — the tendency to let the degree... View Details

Keywords: Cost; Consumer Behavior; Decision Making; Prejudice and Bias; Profit

06 Nov 2023
Research & Ideas

Did You Hear What I Said? How to Listen Better

School. “You feel like maybe they weren’t totally listening.” In fact, people often aren’t tuned in when we think they are, and it’s tough to tell when someone is actually paying attention, according to a forthcoming article in the Journal of View Details

Keywords: by Michael Blanding

Deepak Malhotra

Deepak Malhotra's teaching, research and advisory work is focused on negotiation, deal-making and conflict resolution. In 2020, Deepak was named MBA Professor of the Year by Poets & Quants. He has won... View Details

September 2024
Article

Investing in the Next Generation: The Long-Run Impacts of a Liquidity Shock

By: Patrick Agte, Arielle Bernhardt, Erica M. Field, Rohini Pande and Natalia Rigol

How do poor entrepreneurs trade off investments in business enterprises versus children's human capital, and how do these choices influence intergenerational socio-economic mobility? To examine this, we exploit experimental variation in household income resulting from... View Details

Keywords: Socio-economic Mobility; Entrepreneurship; Education; Income; Literacy; Poverty

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January 23, 2023
Article

Digital Public Health Interventions at Scale: The Impact of Social Media Advertising on Beliefs and Outcomes Related to COVID Vaccines

By: Susan Athey, Kristen Grabarz, Michael Luca and Nils Wernerfelt

Public health organizations increasingly use social media advertising campaigns in pursuit of public health goals. In this paper, we evaluate the impact of about $40 million of social media advertisements that were run and experimentally tested on Facebook and... View Details

Keywords: COVID-19 Pandemic; Public Health; Vaccines; Social Media; Advertising; Power and Influence; Health Care and Treatment

2020
Working Paper

Social Interactions in Pandemics: Fear, Altruism, and Reciprocity

By: Laura Alfaro, Ester Faia, Nora Lamersdorf and Farzad Saidi

In SIR models, homogeneous or with a network structure, infection rates are assumed to be exogenous. However, individuals adjust their behavior. Using daily data for 89 cities worldwide, we document that mobility falls in response to fear, as approximated by Google... View Details

Keywords: Social Interactions; Pandemics; Mobility; Cities; SIR Networks; Social Preferences; Social Planner; Targeted Policies; Health Pandemics; Interpersonal Communication; Behavior; Policy

2010
Article

Budgeting, Psychological Contracts, and Budgetary Misreporting

By: Susanna Gallani, Ranjani Krishnan, Eric J. Marinich and Michael D. Shields

This study examines the effect of psychological contract breach on budgetary misreporting. Psychological contracts are mental models or schemas that govern how employees understand their exchange relationships with their employers. Psychological contract breach leads... View Details

Keywords: Budgeting; Psychological Contracts; Misreporting; Budgets and Budgeting; Employees; Trust

August 2017
Article

Incentives versus Reciprocity: Insights from a Field Experiment

By: Doug J. Chung and Das Narayandas

We conduct a field experiment in which we vary the sales force compensation scheme at an Asian enterprise that sells consumer durable goods. With variation generated by the experimental treatments, we model sales force performance to identify the effectiveness of... View Details

Keywords: Sales Force Compensation; Field Experiment; Heterogeneity; Loss Aversion; Reciprocity; Salesforce Management; Compensation and Benefits