Publications

2019
Working Paper

Managing Churn to Maximize Profits

By: Aurelie Lemmens and Sunil Gupta

Customer defection threatens many industries, prompting companies to deploy targeted, proactive customer retention programs and offers. A conventional approach has been to target customers either based on their predicted churn probability, or their responsiveness to a... View Details

Keywords: Churn Management; Defection Prediction; Loss Function; Stochastic Gradient Boosting; Customer Relationship Management; Consumer Behavior; Profit

22 May 2007
Working Paper Summaries

The Speed of New Ideas: Trust, Institutions and the Diffusion of New Products

Keywords: by Felix Oberholzer-Gee & Joel Waldfogel

July 2024
Article

Chatbots and Mental Health: Insights into the Safety of Generative AI

By: Julian De Freitas, Ahmet Kaan Uğuralp, Zeliha Uğuralp and Stefano Puntoni

Chatbots are now able to engage in sophisticated conversations with consumers. Due to the ‘black box’ nature of the algorithms, it is impossible to predict in advance how these conversations will unfold. Behavioral research provides little insight into potential safety... View Details

Keywords: Autonomy; Chatbots; New Technology; Brand Crises; Mental Health; Large Language Model; AI and Machine Learning; Behavior; Well-being; Technological Innovation; Ethics

2023
Working Paper

Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development

By: Daniel Yue, Paul Hamilton and Iavor Bojinov

Predictive model development is understudied despite its centrality in modern artificial intelligence and machine learning business applications. Although prior discussions highlight advances in methods (along the dimensions of data, computing power, and algorithms)... View Details

Keywords: Analytics and Data Science

May 2020
Article

To Be or Not to Be Your Authentic Self? Catering to Others' Expectations and Interests Hinders Performance

By: Francesca Gino, Ovul Sezer and Laura Huang

When approaching interpersonal first meetings (e.g., job interviews), people often cater to the target’s interests and expectations to make a good impression and secure a positive outcome such as being offered the job (pilot study). This strategy is distinct from other... View Details

Keywords: Authenticity; Catering; Honesty; Selection; Impression Management; Interpersonal Communication; Behavior; Performance

February 2020
Article

Why Prosocial Referral Incentives Work: The Interplay of Reputational Benefits and Action Costs

By: Rachel Gershon, Cynthia Cryder and Leslie K. John

While selfish incentives typically outperform prosocial incentives, in the context of customer referral rewards, prosocial incentives can be more effective. Companies frequently offer “selfish” (i.e., sender-benefiting) referral incentives, offering customers financial... View Details

Keywords: Incentives; Prosocial Behavior; Judgment And Decision-making; Referral Rewards; Motivation and Incentives; Consumer Behavior; Decision Making

Nine studies investigate when and why people may paradoxically prefer bad news—e.g., hoping for an objectively worse injury or a higher-risk diagnosis over explicitly better alternatives. Using a combination of field surveys and randomized experiments, the... View Details

The Psychosocial Value of Employment

In settings where employment opportunities are scarce, the inability to work may generate psychosocial harm. This paper presents a causal estimate of the psychosocial value of employment in the Rohingya refugee camps of Bangladesh. We engage 745 individuals in a field... View Details

Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development

Predictive model development is understudied despite its importance to modern businesses. Although prior discussions highlight advances in methods (along the dimensions of data, computing power, and algorithms) as the primary driver of model quality, the value of... View Details

May–June 2024
Article

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: Prejudice and Bias; Gender; Training; Recruitment; Personal Development and Career

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

November 2021
Article

The Comprehensive Effects of Sales Force Management: A Dynamic Structural Analysis of Selection, Compensation, and Training

By: Doug J. Chung, Byungyeon Kim and Byoung G. Park

This study provides a comprehensive model of an agent’s behavior in response to multiple sales management instruments, including compensation, recruiting/termination, and training. The model on agents’ behavior takes into account many of the key elements that... View Details

Keywords: Salesforce Management; Recruitment; Selection and Staffing; Compensation and Benefits; Resignation and Termination; Training; Behavior; Analysis

Program

General Management Program

Summary Taking your organization and your career to the next level requires going beyond your field of expertise to gain an end-to-end view of the enterprise, an in-depth understanding of business operations, and a multidisciplinary... View Details

Article

A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects

By: Edward McFowland III, Sandeep Gangarapu, Ravi Bapna and Tianshu Sun

We define a prescriptive analytics framework that addresses the needs of a constrained decision-maker facing, ex ante, unknown costs and benefits of multiple policy levers. The framework is general in nature and can be deployed in any utility maximizing context, public... View Details

Keywords: Prescriptive Analytics; Heterogeneous Treatment Effects; Optimization; Observed Rank Utility Condition (OUR); Between-treatment Heterogeneity; Machine Learning; Decision Making; Analysis; Mathematical Methods

Purchase

We define a prescriptive analytics framework that addresses the needs of a constrained decision-maker facing, ex ante, unknown costs and benefits of multiple policy levers. The framework is general in nature and can be deployed in any utility maximizing... View Details

John F. Batter

John Batter is a retired Litigation Partner in the Boston Office of Wilmer Cutler Pickering Hale and Dorr LLP where his practice focussed on on the defense of public and private companies and their directors and management against breach of fiduciary duty claims and... View Details

Working Paper

The Returns to Skills During the Pandemic: Experimental Evidence from Uganda

By: Livia Alfonsi, Vittorio Bassi, Imran Rasul and Elena Spadini

The Covid-19 pandemic represents one of the most significant labor market shocks to the world economy in recent times. We present evidence from a field experiment to understand whether and why skilled and unskilled workers were differentially impacted by the shock, in... View Details

Keywords: COVID-19 Pandemic; System Shocks; Labor; Competency and Skills; Development Economics; Uganda

Purchase

June 2017
Article

Creating Reciprocal Value Through Operational Transparency

By: Ryan W. Buell, Tami Kim and Chia-Jung Tsay

We investigate whether organizations can create value by introducing visual transparency between consumers and producers. Although operational transparency has been shown to improve consumer perceptions of service value, existing theory posits that increased contact... View Details

Keywords: Operational Transparency; Service Management; Production Management; Organizational Performance; Behavioral Operations; Service Operations; Service Delivery; Consumer Behavior; Labor; Organizational Design; Operations; Service Industry; United States; Kenya