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- All HBS Web
(4,157)
- Faculty Publications (1,262)
- February 2018 (Revised March 2018)
- Case
Artificial Intelligence and the Machine Learning Revolution in Finance: Cogent Labs and the Google Cloud Platform (GCP)
By: Lauren Cohen, Christopher Malloy and William Powley
This case examines the intersection of two firms (Cogent Labs—a machine learning software firm in Tokyo; and Google, the technology infrastructure giant) attempting to exploit the benefits of artificial intelligence and machine learning in the financial services... View Details
- February 2018 (Revised October 2019)
- Case
HubSpot and Motion AI: Chatbot-Enabled CRM
By: Jill Avery and Thomas Steenburgh
HubSpot, an inbound marketing, sales, and customer relationship management (CRM) software provider, announced that it had acquired Motion AI, a software platform that enabled companies to easily build and deploy chatbots, fueled by artificial intelligence, to interact... View Details
Keywords: CRM; Sales Management; Customer Service; Artificial Intelligence; B2B Vs. B2C; Business Marketing; SaaS; Marketing; Marketing Strategy; Brands and Branding; Customer Focus and Relationships; Sales; Salesforce Management; Technological Innovation; Applications and Software; Customer Relationship Management; AI and Machine Learning; Technology Industry; Service Industry; United States; North America
- February 2018 (Revised June 2021)
- Case
New Constructs: Disrupting Fundamental Analysis with Robo-Analysts
By: Charles C.Y. Wang and Kyle Thomas
This case highlights the business challenges associated with a financial technology firm, New Constructs, that created a technology that can quickly parse complicated public firm financials to paint a clearer economic picture of firms, remove accounting distortions,... View Details
- 2018
- Book
Horngren's Cost Accounting: A Managerial Emphasis
By: Srikant M. Datar and Madhav Rajan
Horngren’s Cost Accounting defines the cost accounting market and continues to innovate today by consistently integrating the most current practice and theory into the text. This acclaimed, market-leading text emphasizes the basic theme of “different costs for... View Details
- February 2018
- Article
Retention Futility: Targeting High-Risk Customers Might Be Ineffective.
By: Eva Ascarza
Companies in a variety of sectors are increasingly managing customer churn proactively, generally by detecting customers at the highest risk of churning and targeting retention efforts towards them. While there is a vast literature on developing churn prediction models... View Details
- 2019
- Working Paper
Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles
By: Prithwiraj Choudhury, Dan Wang, Natalie A. Carlson and Tarun Khanna
We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural... View Details
- January 2018 (Revised March 2019)
- Case
Autonomous Vehicles: The Rubber Hits the Road...but When?
By: William Kerr, Allison Ciechanover, Jeff Huizinga and James Palano
The rise of autonomous vehicles has enormous implications for business and society. Despite the many headlines and significant investment in the technology by early 2019, it was still unclear when truly autonomous vehicles would be a commercial reality. Students will... View Details
- Book Review
Book Review of 'Organized Violence after Civil War: The Geography of Recruitment in Latin America' by Sarah Zukerman Daly
Why do some non-state actors, under the same peace accord, go back to violence in the aftermath of the disarming and demobilization of their armies, while others remain demilitarized? In her book, Organized Violence after Civil War: The Geography of Recruitment in... View Details
- 2018
- Chapter
Historical Political Economy
This book is a major contribution to the study of political economy. With chapters ranging from the origins of political economy to its most exciting research fields, this handbook provides a reassessment of political economy as it stands today, while boldly gesturing... View Details
- 2017
- Working Paper
Lone Wolves in Competitive Equilibria
By: Ravi Jagadeesan, Scott Duke Kominers and Ross Rheingans-Yoo
This paper develops a class of equilibrium-independent predictions of competitive equilibrium with indivisibilities. Specifically, we prove an analogue of the “Lone Wolf Theorem” of classical matching theory, showing that when utility is perfectly transferable, any... View Details
- Article
Mitigating Bias in Adaptive Data Gathering via Differential Privacy
By: Seth Neel and Aaron Leon Roth
Data that is gathered adaptively—via bandit algorithms, for example—exhibits bias. This is true both when gathering simple numeric valued data—the empirical means kept track of by stochastic bandit algorithms are biased downwards—and when gathering more complicated... View Details
- Article
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
The most prevalent notions of fairness in machine learning are statistical definitions: they fix a small collection of pre-defined groups, and then ask for parity of some statistic of the classifier (like classification rate or false positive rate) across these groups.... View Details
- 2018
- Chapter
Transportation Cost and the Geography of Foreign Investment
By: Laura Alfaro and Maggie Chen
Falling transportation costs and rapid technological progress in recent decades have precipitated an explosion of cross-border flows in goods, services, investments, and ideas led by multinational firms. Extensive research has sought to understand the geographic... View Details
- Article
Default Neglect in Attempts at Social Influence
By: Julian Zlatev, David P. Daniels, Hajin Kim and Margaret A. Neale
Current theories suggest that people understand how to exploit common biases to influence others. However, these predictions have received little empirical attention. We consider a widely studied bias with special policy relevance: the default effect, which is the... View Details
- Article
Does Financial Misconduct Affect the Future Compensation of Alumni Managers?
By: Boris Groysberg, Eric Lin and George Serafeim
We explore how an organization’s financial misconduct may affect pay for former employees not implicated in wrongdoing. Drawing on stigma theory we hypothesize that although such alumni did not participate in the financial misconduct, and they had left the organization... View Details
- 2017
- Article
Self-Managing Organizations: Exploring the Limits of Less-Hierarchical Organizing
By: Michael Y. Lee and Amy C. Edmondson
Fascination with organizations that eschew the conventional managerial hierarchy and instead radically decentralize authority has been longstanding, albeit at the margins of scholarly and practitioner attention. Recently, however, organizational experiments in radical... View Details
- Article
An Invitation to Market Design
By: Scott Duke Kominers, Alexander Teytelboym and Vincent P. Crawford
Market design seeks to translate economic theory and analysis into practical solutions to real-world problems. By redesigning both the rules that guide market transactions and the infrastructure that enables those transactions to take place, market designers can... View Details
Keywords: Matching; Trading; Scrip; Liquidity; Efficiency; Equity; Allocation Rules; Marketplaces; Market Design; Marketplace Matching; Auctions
- October 2017 (Revised April 2018)
- Case
Improving Worker Safety in the Era of Machine Learning (A)
By: Michael W. Toffel, Dan Levy, Jose Ramon Morales Arilla and Matthew S. Johnson
Managers make predictions all the time: How fast will my markets grow? How much inventory do I need? How intensively should I monitor my suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I... View Details
- 2017
- Working Paper
Biased Beliefs About Random Samples: Evidence from Two Integrated Experiments
By: Daniel J. Benjamin, Don A. Moore and Matthew Rabin
This paper describes results of a pair of incentivized experiments on biases in judgments about random samples. Consistent with the Law of Small Numbers (LSN), participants exaggerated the likelihood that short sequences and random subsets of coin flips would be... View Details
- October 2017
- Article
Elevating Repositioning Costs: Strategy Dynamics and Competitive Interactions
By: Anoop R. Menon and Dennis Yao
This paper proposes an approach for modeling competitive interactions that incorporates the costs to firms of changing strategy. The costs associated with strategy modifications, which we term “repositioning costs,” are particularly relevant to competitive interactions... View Details