Publications
Publications
Show Results For
- All HBS Web
(4,160)
- Faculty Publications (1,263)
- November–December 2022
- Article
Can AI Really Help You Sell?: It Can, Depending on When and How You Implement It
By: Jim Dickie, Boris Groysberg, Benson P. Shapiro and Barry Trailer
Many salespeople today are struggling; only 57% of them make their annual quotas, surveys show. One problem is that buying processes have evolved faster than selling processes, and buyers today can access a wide range of online resources that let them evaluate products... View Details
- 2024
- Working Paper
Sharing Models to Interpret Data
By: Joshua Schwartzstein and Adi Sunderam
To understand new data, we share models or interpretations with others. This paper studies such exchanges of models in a community. The key assumption is that people adopt the interpretation in their community that best explains the data, given their prior beliefs. An... View Details
- 2022
- Working Paper
The Evolution of ESG Reports and the Role of Voluntary Standards
By: Ethan Rouen, Kunal Sachdeva and Aaron Yoon
We examine the evolution of ESG reports of S&P 500 firms from 2010 to 2021. The
percentage of firms releasing these voluntary disclosures increased from 35% to 86%
during this period, although the length of these documents experienced more modest
growth. Using a... View Details
- 13 Oct 2022
- Other Presentation
4 Business Ideas That Changed the World: Disruptive Innovation
By: Amy Bernstein, Rita McGrath, Felix Oberholzer-Gee and Derek van Bever
A roundtable conversation takes stock of Clayton Christensen’s influential theory. This first in a series of roundtable conversations assessing the origins and impact of four breakthrough ideas.
In the 1980s, Clayton Christensen cofounded a startup that... View Details
In the 1980s, Clayton Christensen cofounded a startup that... View Details
Keywords: Disruptive Innovation
- October 2022 (Revised December 2022)
- Case
SMART: AI and Machine Learning for Wildlife Conservation
By: Brian Trelstad and Bonnie Yining Cao
Spatial Monitoring and Reporting Tool (SMART), a set of software and analytical tools designed for the purpose of wildlife conservation, had demonstrated significant improvements in patrol coverage, with some observed reductions in poaching and contributing to wildlife... View Details
- 2022
- Working Paper
Communicating Corporate Culture in Labor Markets: Evidence from Job Postings
We examine how firms craft their job postings to convey information about their culture and
whether doing so helps attract employees. We utilize state-of-the-art machine learning methods to
develop a comprehensive dictionary of key corporate values across the near... View Details
- October–December 2022
- Article
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
- 2022
- Article
The Ordinary Concept of a Meaningful Life: The Role of Subjective and Objective Factors in Third-Person Attributions of Meaning
By: Michael Prinzing, Julian De Freitas and Barbara L. Fredrickson
The desire for a meaningful life is ubiquitous, yet the ordinary concept of a meaningful life is poorly understood. Across six experiments (total N = 2,539), we investigated whether third-person attributions of meaning depend on the psychological states an agent... View Details
- September 10, 2022
- Article
NFT Sales: Clearing the Market, Avoiding Gas Wars
By: Scott Duke Kominers and Tim Roughgarden
Instead of letting the market decide the price for their primary sale offerings, many NFT projects choose to initially sell their NFTs at prices below the market-clearing level. But what happens when market designers trade off efficiency for equity; or when demand far... View Details
- 2022
- Working Paper
Developing a Sustainable High Commitment, High Performance System of Organizing, Managing, and Leading: An Actionable Systems Theory of Change and Development
By: Michael Beer
This paper presents a theory for developing an adaptive high commitment, high performance system of organizing, managing, and leading. It is a synthesis of my 50 years of action and field research presented in my books and articles. It operationalized and makes... View Details
- September 6, 2022
- Article
Creating a Platform for Costless Personalization in Clothing
By: Shane Greenstein
This study analyzes the role of co-invention in the creation of a platform for print-on-demand-clothing, or PODC. Co-invention is the invention of a new business process to complement new technology, and turn it into a valuable commercial service. PODC copies a design... View Details
- September–October 2022
- Article
Seeking Purity, Avoiding Pollution: Strategies for Moral Career Building
By: Erin Reid and Lakshmi Ramarajan
This study builds theory on how people construct moral careers. Analyzing interviews with 102 journalists, we show how people build moral careers by seeking jobs that allow them to fulfill both the institution’s moral obligations and their own material aims. We... View Details
- August 25, 2022
- Article
Find the Right Pace for Your AI Rollout
By: Rebecca Karp and Aticus Peterson
Implementing AI can introduce disruptive change and disfranchise staff and employees. When members are reluctant to adopt a new technology, they might hesitate to use it, push back against its deployment, or use it in limited capacity — which affects the benefits an... View Details
- 2022
- Working Paper
Overreaction and Diagnostic Expectations in Macroeconomics
By: Pedro Bordalo, Nicola Gennaioli and Andrei Shleifer
We present the case for the centrality of overreaction in expectations for addressing important challenges in finance and macroeconomics. First, non-rational expectations by market participants can be measured and modeled in ways that address some of the key challenges... View Details
- December 2022
- Article
Divergence Between Employer and Employee Understandings of Passion: Theory and Implications for Future Research
By: Jon M. Jachimowicz and Hannah Weisman
There is an increasingly prevalent expectation in contemporary society that employees be passionate for their work. Here, we suggest that employers and employees can have different understandings of passion that potentially conflict. More specifically, we argue that... View Details
- 2022
- Working Paper
Pricing Power in Advertising Markets: Theory and Evidence
By: Matthew Gentzkow, Jesse M. Shapiro, Frank Yang and Ali Yurukoglu
Existing theories of media competition imply that advertisers will pay a lower price in equilibrium to reach consumers who multi-home across competing outlets. We generalize and extend this theoretical result and test it using data from television and social media... View Details
- 2022
- Chapter
Redirecting Rawlsian Reasoning Toward the Greater Good
By: Joshua D. Greene, Karen Huang and Max Bazerman
In A Theory of Justice, John Rawls employed the ‘veil of Ignorance’ as a moral reasoning device designed to promote impartial thinking. By imagining the choices of decision-makers who are blind to biasing information, one might see more clearly the organizing... View Details
- July 2022
- Article
What Do I Make of the Rest of My Life? Global and Quotidian Life Construal across the Retirement Transition
By: Jeff Steiner and Teresa M. Amabile
Retirement means relinquishing the daily structure that work provides and the career-dependent meanings that it offers life narratives. The retirement transition can therefore involve contemplating both how to spend newly-freed daily time and the implications of... View Details
- 2022
- Working Paper
Machine Learning Models for Prediction of Scope 3 Carbon Emissions
By: George Serafeim and Gladys Vélez Caicedo
For most organizations, the vast amount of carbon emissions occur in their supply chain and in the post-sale processing, usage, and end of life treatment of a product, collectively labelled scope 3 emissions. In this paper, we train machine learning algorithms on 15... View Details
- 2022
- Working Paper
Measuring the Tolerance of the State: Theory and Application to Protest
By: Veli Andirin, Yusuf Neggers, Mehdi Shadmehr and Jesse M. Shapiro
We develop a measure of a regime's tolerance for an action by its citizens. We ground our measure in an economic model and apply it to the setting of political protest. In the model, a regime anticipating a protest can take a costly action to repress it. We define the... View Details