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  • 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
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  • August 2021
  • Case

Fair Park Covid-19 Mass Vaccination Site (A)
By: Willy Shih
This case is an opportunity to apply the methods of the Toyota Production System (TPS) to the analysis of an everyday service application: administering Covid-19 vaccines. It describes the start-up of a drive-up Covid-19 mass vaccination site at the Texas State Fair...  View Details
Keywords: Operations Improvement; Operations And Processes; Toyota Production System; Operations; Service Operations; Health Pandemics; Problems and Challenges; Goals and Objectives; Measurement and Metrics; Health Industry; United States
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  • August 2021
  • Supplement

Fair Park Covid-19 Mass Vaccination Site (B)
By: Willy Shih
This case is an opportunity to apply the methods of the Toyota Production System (TPS) to the analysis of an everyday service application: administering Covid-19 vaccines. It describes the start-up of a drive-up Covid-19 mass vaccination site at the Texas State Fair...  View Details
Keywords: Operations Management; Operations Improvement; Operations And Processes; Toyota Production System; Operations; Service Operations; Health Pandemics; Service Delivery; Problems and Challenges; Goals and Objectives; Measurement and Metrics; Health Industry; United States
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  • August 2021
  • Article

Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders
By: Tarun Khanna, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam and Meena Hewett
This paper examines the role that the two lead authors’ personal connections played in the research methodology and data collection for the Partition Stories Project—a mixed-methods approach to revisiting the much-studied historical trauma of the Partition of British...  View Details
Keywords: Mixed Methods; Insider-outsiders; Myth Of Informed Objectivity; Hybrid Research; Oral Narratives; Research; Analysis; India
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  • August 2021
  • Article

The Undervalued Power of Self-relevant Research: The Case of Researching Retirement While Retiring
By: Teresa M. Amabile and Douglas T. (Tim) Hall
For decades, training in management research has emphasized objectivity, typically viewed as an arm’s length distance between the topic of the research and the interests of the researcher. This emphasis has led most scholars to avoid research topics of deep personal...  View Details
Keywords: Qualitative Research Methods; Case Research Methods; Organizational Behavior; Careers; Career Changes And Transitions; Self-relevant Research; Research; Personal Development and Career; Transition; Identity; Retirement
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  • April 2021
  • Article

A Model of Multi-Pass Search: Price Search Across Stores and Time
By: Navid Mojir and K. Sudhir
In retail settings with price promotions, consumers often search across stores and time. However, the search literature typically only models one pass search across stores, ignoring revisits to stores; the choice literature using scanner data has modeled search across...  View Details
Keywords: Consumer Search; Multi-pass Search; Price Search; Store Search; Spatial Search; Temporal Search; Spatiotemporal Search; Dynamic Structural Models; MPEC; Price Promotions; Store Loyalty; Consumer Behavior; Price; Spending; Marketing; Mathematical Methods
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  • 2021
  • Working Paper

Population Interference in Panel Experiments
By: Iavor I Bojinov, Kevin Wu Han and Guillaume Basse
The phenomenon of population interference, where a treatment assigned to one experimental unit affects another experimental unit's outcome, has received considerable attention in standard randomized experiments. The complications produced by population interference in...  View Details
Keywords: Finite Population; Potential Outcomes; Dynamic Causal Effects; Mathematical Methods
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  • February 2021 (Revised April 2021)
  • Case

Board Director Dilemmas—Back the SPAC?
By: Suraj Srinivasan, David G. Fubini and Amram Migdal
This case focuses on a board director of a diversified holding company. The firm’s longtime CEO had always exhibited a cautious, methodical approach to growth. Now, the CEO is raising the idea of joining with a special purpose acquisition company (SPAC) to spin off...  View Details
Keywords: Board Director; Strategy; Change Management; Decision Making
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  • Article

Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses
By: Kaivalya Rawal and Himabindu Lakkaraju
As predictive models are increasingly being deployed in high-stakes decision-making, there has been a lot of interest in developing algorithms which can provide recourses to affected individuals. While developing such tools is important, it is even more critical to...  View Details
Keywords: Predictive Models; Decision Making; Framework; Mathematical Methods
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  • November 2020
  • Teaching Note

Social Salary Setting at Spiber
By: Ashley Whillans and John Beshears
Teaching Note for HBS Case No. 920-050. The case tells the story of Spiber, a Japanese technology start-up company. To reflect the company’s values, the leadership team implemented a new and unique salary-setting process: each employee had the authority to choose their...  View Details
Keywords: Compensation; General Management; Employee Benefits; Incentives; Motivation; Compensation and Benefits; Fairness; Motivation and Incentives; Management; Happiness; Negotiation; Cross-Cultural and Cross-Border Issues; Japan
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  • Article

The Importance of Being Causal
By: Iavor I Bojinov, Albert Chen and Min Liu
Causal inference is the study of how actions, interventions, or treatments affect outcomes of interest. The methods that have received the lion’s share of attention in the data science literature for establishing causation are variations of randomized experiments....  View Details
Keywords: Causal Inference; Observational Studies; Cross-sectional Studies; Panel Studies; Interrupted Time-series; Instrumental Variables
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  • June 2020
  • Teaching Note

Understanding the Brand Equity of Nestlé Crunch Bar
By: Jill Avery and Gerald Zaltman
Teaching Note for HBS Case Nos. 519-061 and 519-062. In early 2018, Nestlé announced the sale of its U.S. candy-making division and a select collection of twenty of its confectionery brands, including the Nestlé Crunch Bar, to Ferrero SpA for $2.8 billion. Under the...  View Details
Keywords: Brand Management; Brand Storytelling; Brand Equity; Market Research; Qualitative Methods; Marketing; Brands and Branding; Marketing Communications; Consumer Behavior; Marketing Strategy; Food and Beverage Industry
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  • Article

Innovation Contests for High-Tech Procurement
By: Jin Hyun Paik, Martin Scholl, Rinat A. Sergeev, Steven Randazzo and Karim R. Lakhani
Innovation managers rarely use crowdsourcing as an innovative instrument despite extensive academic and theoretical research. The lack of tools available to compare and measure crowdsourcing, specifically contests, against traditional methods of procuring goods and...  View Details
Keywords: Open Innovation; Contests; Crowdsourcing; Nasa; Evaluation; Acquisition; Technology; Innovation and Invention; Performance Evaluation; Framework
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  • 2021
  • Working Paper

Impact Investing: A Theory of Financing Social Enterprises
By: Benjamin N. Roth
I present a model of financing social enterprises to delineate the role of impact investors relative to “pure” philanthropists. I characterize the optimal scale and structure of a social enterprise when financed by grants, and when financed by investments. Impact...  View Details
Keywords: Impact Investing; Social Entrepreneurship; Finance; Investment; Mathematical Methods
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  • 2020
  • Book

Teaching by Heart: One Professor's Journey to Inspire
By: Thomas J. DeLong
The best teachers are leaders, and the best leaders are teachers. Teaching by Heart summarizes the author's key insights gained from more than 40 years of teaching and managing. It illustrates how teachers can both lift people up and let them down. It proposes...  View Details
Keywords: Teaching; Leadership; Attitudes; Management; Business Education
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  • December 2019
  • Technical Note

Technical Note on Bayesian Statistics and Frequentist Power Calculations
By: Amitabh Chandra and Ariel Dora Stern
This Technical Note provides an introduction to Bayes’ Rule and the statistical intuition that stems from it. In this note, we review the concepts that underlie Bayesian statistics, and we offer several simple mathematical examples to illustrate applications of Bayes’...  View Details
Keywords: Bayesian Statistics; Mathematical Methods
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  • December 2019
  • Article

Costly Concessions: An Empirical Framework for Matching with Imperfectly Transferable Utility
By: Alfred Galichon, Scott Duke Kominers and Simon Weber
We introduce an empirical framework for models of matching with imperfectly transferable utility and unobserved heterogeneity in tastes. Our framework allows us to characterize matching equilibrium in a flexible way that includes as special cases the classic fully- and...  View Details
Keywords: Sorting; Matching; Marriage Market; Intrahousehold Allocation; Imperfectly Transferable Utility; Marketplace Matching; Mathematical Methods
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  • 2019
  • Article

Overcoming Cultural Resistance to Open Source Innovation
By: John Winsor, Jin Hyun Paik, Michael Tushman and Karim R. Lakhani
Purpose: This article offers insight on how to effectively help incumbent organizations prepare for global business shifts to open source and digital business models.
Design/methodology/approach: Discussion related to observation, experience and case studies...  View Details
Keywords: Open Source Innovation; Organizational Culture; Organizational Change and Adaptation; Business Model; Technological Innovation; Collaborative Innovation and Invention
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  • 2020
  • Working Paper

Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA
By: Matthew S. Johnson, David I. Levine and Michael W. Toffel
We study how a regulator can best target inspections. Our case study is a US Occupational Safety and Health Administration (OSHA) program that randomly allocated some inspections. On average, each inspection averted 2.4 serious injuries (9%) over the next five years....  View Details
Keywords: Government Administration; Working Conditions; Safety; Quality; Production; Analysis; Resource Allocation; Manufacturing Industry; United States
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  • 2019
  • Working Paper

The Impact of Professionals' Contributions to Online Knowledge Communities on Their Workplace Knowledge Work
By: Hila Lifshitz - Assaf and Frank Nagle
Knowledge work is becoming increasingly challenging as pace of change in the knowledge frontier is increasing. Organizations have created multiple mechanisms to minimize knowledge gaps and increase learning such internal training, mentorship programs as well as...  View Details
Keywords: Open Source; Future Of Work; Software Development; Knowledge Work; Online Community; Learning; Knowledge Sharing; Software; Open Source Distribution; Performance Productivity
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