Publications

August 2017 (Revised August 2018)
Case

Busbud: Building a Data Company

By: Srikant M. Datar, Alistair Croll and Caitlin N. Bowler

The case features the work of LP Maurice (HBS '08) as he decides to take on the fragmented bus travel industry and launch an online business that aggregates and shares bus schedules for routes around the world. His first challenge: finding that the data he needs is... View Details

Keywords: Data Science; Analytics and Data Science; Business Startups; Knowledge Acquisition; Customers; Measurement and Metrics; Transportation Industry

Educators

Purchase

David Ager is a Senior Lecturer in Executive Education. He engages CEOs, CHROs, and their teams to design and deliver customized executive development experiences for executive, senior and high potential leaders. The companies hail from diverse sectors including... 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

SSRN

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

21 May 2012
Research & Ideas

OSHA Inspections: Protecting Employees or Killing Jobs?

measures. When he and colleague David I. Levine heard of a program at California OSHA to conduct randomized inspections of workplaces, they realized they had the perfect real-world experiment to settle the debate over workplace... View Details

Keywords: by Michael Blanding

Forthcoming
Article

The Effect of a System for Sharing Best Practices Within Pre-existing Peer Networks

By: Shelley Xin Li and Tatiana Sandino

Peer networks, such as enterprise social networks (ESNs), can facilitate knowledge transfer across employees. However, such systems can also lead to information overload or difficulty in finding useful information. We examine data from a natural field experiment where... View Details

Keywords: Retail; Best Practices; Enterprise Social Media; Management Accounting And Control Systems; Social and Collaborative Networks; Communication Technology; Knowledge Sharing; Sales; Social Media; Retail Industry

August 2021
Article

Hoping for the Worst? A Paradoxical Preference for Bad News

By: Kate Barasz and Serena Hagerty

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 research... View Details

Keywords: Decision Avoidance; Difficult Decisions; Judgment And Decision Making; Medical Decision-making; Decision Making; Behavior

Register to Read

September–October 2020
Article

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

SSRN

2016
Working Paper

Do Network Dynamics Undermine Idea-based Network Advantages? Experimental Results from an Entrepreneurship Bootcamp

By: Rembrand Koning

Do networks plentiful in ideas provide early stage startups with performance advantages? On the one hand, network positions that provide access to a multitude of ideas are thought to increase team performance. On the other hand, research on network formation argues... View Details

Keywords: Networks; Performance; Business Startups; Business Strategy

November 7, 2017
Article

Temporary Sharing Prompts Unrestrained Disclosures That Leave Lasting Negative Impressions

By: Reto Hofstetter, Roland Rüppell and Leslie John

With the advent of social media, the impressions people make on others are based increasingly on their digital disclosures. Yet digital disclosures can come back to haunt, making it challenging for people to manage the impressions they make. In field and online... View Details

Keywords: Disclosure; Privacy; Self-presentation; Impression Formation; Behavior; Perspective; Internet and the Web; Social Media

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