Publications

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Article

It's Not Easy Being Green: The Role of Self-Evaluations in Explaining Support of Environmental Issues

By: Scott Sonenshein, K. A. DeCelles and Jane E. Dutton

Using a mixed methods design, we examine the role of self-evaluations in influencing support for environmental issues. In Study 1—an inductive, qualitative study—we develop theory about how environmental issue supporters evaluate themselves in a mixed fashion,... View Details

Keywords: Social Issues; Environmental Sustainability; Performance Evaluation; Cognition and Thinking

06 Sep 2006
Working Paper Summaries

Cross Functional Alignment in Supply Chain Planning: A Case Study of Sales & Operations Planning

Keywords: by Rogelio Oliva & Noel Watson

Article

Adaptive Machine Unlearning

By: Varun Gupta, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Chris Waites

Data deletion algorithms aim to remove the influence of deleted data points from trained models at a cheaper computational cost than fully retraining those models. However, for sequences of deletions, most prior work in the non-convex setting gives valid guarantees... View Details

Keywords: Machine Learning; AI and Machine Learning

Spring 2014
Article

Leveraging Crowdsourced Peer-to-Peer Assessments to Enhance the Case Method of Learning

By: Jill Avery

Many marketing educators use the case method to help their students strengthen their decision-making skills. Rigorous class participation is essential to achieving learning objectives in case method learning. One challenge for case method instructors is the assessment... View Details

Keywords: Case Method Teaching; Marketing; Business Education; Teaching; Education Industry

1994
Article

Three-dimensional Finite Element Modeling of a Cervical Vertebra: An Investigation of Burst Fracture Mechanism

By: Kevin J. Bozic, J H Keyak, H B Skinner, H U Bueff and David Bradford

Finite element modeling was used to study the mechanical behavior of a cervical vertebra under axial compressive loading. A three-dimensional (3-D) finite element (FE) model of a mid-cervical vertebra using inhomogeneous material properties was generated from... View Details

Keywords: Performance Expectations; Strength and Weakness; Health; Mathematical Methods; Health Industry

2023
Working Paper

Emotion Regulation Contagion

By: Michael Pinus, Eran Halperin, Yajun Cao, Alin Coman, James Gross and Amit Goldenberg

In intergroup conflicts, emotion regulation interventions can decrease negative intergroup emotions and increase support for concessions. However, it is usually infeasible to provide emotion regulation interventions to everyone in a population of interest. This raises... View Details

Keywords: Groups and Teams; Emotions; Conflict and Resolution

June 2022
Teaching Note

Bespoken Spirits: Disrupting Distilling

By: Benjamin C. Esty and Daniel Fisher

Teaching Note for HBS Case No. 721-419. On October 7, 2020, Bespoken Spirits publicly announced it had received $2.6 million of seed funding for its “sustainable maturation process,” a process that could produce award-winning whiskeys in just days rather than years... View Details

Keywords: B2B Vs. B2C; Technological Innovation; Business Startups; Cost Management; Business Model; Consumer Products Industry; Food and Beverage Industry; Service Industry

Purchase

August 2021
Article

Rate-Amplifying Demand and the Excess Sensitivity of Long-Term Rates

By: Samuel G. Hanson, David O. Lucca and Jonathan H. Wright

Long-term nominal interest rates are surprisingly sensitive to high-frequency (daily or monthly) movements in short-term rates. Since 2000, this high-frequency sensitivity has grown even stronger in U.S. data. By contrast, the association between low-frequency changes... View Details

Keywords: Conundrum; Investor Demand; Monetary Policy Transmission; Interest Rates

March 2020 (Revised April 2020)
Case

CarTrade

By: Rajiv Lal and Shreya Ramachandran

Vinay Sanghi, the founder and CEO of CarTrade, had been trying different business strategies to keep the company, which he founded in 2010 as an online marketplace for used and new cars, profitable and on track for growth. In a crowded and disorganized dealer... View Details

Keywords: Online Marketplace; Automobiles; Customer Base; Internet and the Web; Growth and Development Strategy; Business Model; Financing and Loans; E-commerce; Digital Platforms; Digital Marketing; Auto Industry; Retail Industry; India; Mumbai

Educators

Purchase

March 2020
Article

Diagnosing Missing Always at Random in Multivariate Data

By: Iavor I. Bojinov, Natesh S. Pillai and Donald B. Rubin

Models for analyzing multivariate data sets with missing values require strong, often assessable, assumptions. The most common of these is that the mechanism that created the missing data is ignorable—a twofold assumption dependent on the mode of inference. The first... View Details

Keywords: Missing Data; Diagnostic Tools; Sensitivity Analysis; Hypothesis Testing; Missing At Random; Row Exchangeability; Analytics and Data Science; Mathematical Methods

Article

A Case for Contextual Intelligence

By: Tarun Khanna

In this perspective, I make a case for entrepreneurs and academics alike to focus on what I have referred to elsewhere as Contextual Intelligence, the ability to understand the limits of our knowledge, and to adapt that knowledge to a context different from the one in... View Details

Keywords: Contextual Intelligence; Institutional Voids; Entrepreneurship In Emerging Markets; Knowledge Use and Leverage; Situation or Environment; Developing Countries and Economies; Entrepreneurship

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30 Apr 2018
HBS Seminar

Aparna Joshi, Penn State Smeal College of Business

2024
Working Paper

Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization

By: Ta-Wei Huang, Eva Ascarza and Ayelet Israeli

This paper introduces Incrementality Representation Learning (IRL), a novel multitask representation learning framework that predicts heterogeneous causal effects of marketing interventions. By leveraging past experiments, IRL efficiently designs and targets... View Details

Keywords: Heterogeneous Treatment Effect; Multi-task Learning; Representation Learning; Personalization; Promotion; Deep Learning; Field Experiments; Customer Focus and Relationships; Customization and Personalization

SSRN

April 2023
Article

The Subjective Expected Utility Approach and a Framework for Defining Project Risk in Terms of Novelty and Feasibility—A Response to Franzoni and Stephan (2023), ‘Uncertainty and Risk-Taking in Science’

By: Jacqueline N. Lane

In their Discussion Paper, Franzoni and Stephan (F&S, 2023) discuss the shortcomings of existing peer review models in shaping the funding of risky science. Their discussion offers a conceptual framework for incorporating risk into peer review models of research... View Details

Keywords: Risk and Uncertainty; Research; Resource Allocation; Perception

2005
Working Paper

Silent Saboteurs: How Implicit Theories of Voice Inhibit the Upward Flow of Knowledge in Organizations

By: James R. Detert and Amy C. Edmondson

This article examines, in a series of three studies, how people working in organizational hierarchies wrestle with the challenge of upward voice. We first undertook in-depth exploratory research in a knowledge-intensive multinational corporation in which employee input... View Details

Keywords: Prejudice and Bias; Working Conditions; Knowledge Management; Attitudes; Organizational Culture