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- All HBS Web
(3,439)
- Faculty Publications (466)
- 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
Keywords: Fundamental Analysis; Machine Learning; Robo-analysts; Financial Statements; Financial Reporting; Analysis; Information Technology; Accounting Industry; Financial Services Industry; Information Technology Industry; North America; Tennessee
Wang, Charles C.Y., and Kyle Thomas. "New Constructs: Disrupting Fundamental Analysis with Robo-Analysts." Harvard Business School Case 118-068, February 2018. (Revised June 2021.)
- January 2018 (Revised January 2019)
- Case
ZappRx
By: Jeffrey J. Bussgang and Olivia Hull
In October 2015, ZappRx founder Zoe Barry is deciding between two business models for her health technology start-up. Her product, a software application that aims to expedite the prescription fulfillment process for patients with rare diseases, has attracted interest... 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
Neel, Seth, and Aaron Leon Roth. "Mitigating Bias in Adaptive Data Gathering via Differential Privacy." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).
- 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
Kearns, Michael J., Seth Neel, Aaron Leon Roth, and Zhiwei Steven Wu. "Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).
- December 2017 (Revised March 2019)
- Case
Armarium: Luxury Fashion Brands for Rent
By: Jill Avery, David Fubini, Natasha Dossa and Devon Stewart
Armarium, a two-sided online platform that offered consumers the opportunity to rent the most coveted, current season high fashion clothing and accessories from the top global luxury brands, had emerged from its first sales season with two distinct customer segments:... View Details
Keywords: Brand Management; Retailing; Sharing Economy; Luxury Brand; Ecommerce; Startup; Fashion; Brand Positioning; Customer Acquisition; Internet Marketing; Marketing; Marketing Channels; Marketing Strategy; Brands and Branding; Business Startups; Luxury; Consumer Behavior; Growth and Development Strategy; Social Media; E-commerce; Fashion Industry; Retail Industry; Apparel and Accessories Industry; United States; North America
Avery, Jill, David Fubini, Natasha Dossa, and Devon Stewart. "Armarium: Luxury Fashion Brands for Rent." Harvard Business School Case 518-047, December 2017. (Revised March 2019.)
- November 2017
- Teaching Note
Predicting Consumer Tastes with Big Data at Gap
By: Ayelet Israeli and Jill Avery
CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big... View Details
Keywords: Brands; Brand & Product Management; Big Data; "Marketing Analytics"; Consumer Behavior; Predictive Analytics; Forecasting; Preferences; Operation Management; Distribution Channels; Marketing; Marketing Channels; Marketing Strategy; Brands and Branding; Forecasting and Prediction; Data and Data Sets; Retail Industry; Fashion Industry; Apparel and Accessories Industry; United States; North America
- 2017
- Working Paper
The Use and Misuse of Patent Data: Issues for Corporate Finance and Beyond
By: Josh Lerner
Patents and citations are powerful tools for understanding innovative activity inside the firm and are increasingly used in corporate finance research. But due to the complexities of patent data collection and the changing spatial and industry composition of innovative... View Details
Lerner, Josh, and Amit Seru. "The Use and Misuse of Patent Data: Issues for Corporate Finance and Beyond." Harvard Business School Working Paper, No. 18-042, November 2017.
- November 2017
- Technical Note
21st Century Populism
By: George Serafeim and David Freiberg
While the first decade of the 21st century saw a massive financial crisis that led to significant economic downturn, the second decade saw the rise of political leaders, who built their support upon a political message that championed the common person against the... View Details
Keywords: Populism; Market Efficiency; Market Liberalization; Political Influence; Political Instability; Capital Controls; Partnerships; Coalition; Inequality; Role Of Business In Society; Government Intervention In The Markets; Labor Market; Equality and Inequality; Financial Markets; Social Issues; Immigration; Financial Crisis; Capital Markets; Business and Government Relations
Serafeim, George, and David Freiberg. "21st Century Populism." Harvard Business School Technical Note 118-029, November 2017.
- Article
The IT Transformation Health Care Needs
By: Nikhil R. Sahni, Robert S. Huckman, Anuraag Chigurupati and David M. Cutler
In recent years, health care organizations have made sizable investments in information technology. They’ve used their IT systems to replace paper records with electronic ones and to improve billing processes, thereby boosting revenue. But so far, IT has been of little... View Details
Keywords: Health Care and Treatment; Information Technology; Performance Improvement; Business Model
Sahni, Nikhil R., Robert S. Huckman, Anuraag Chigurupati, and David M. Cutler. "The IT Transformation Health Care Needs." Harvard Business Review 95, no. 6 (November–December 2017): 128–136.
- August 2017 (Revised November 2017)
- Case
Accounting for Political Risk at AES
By: Gerardo Pérez Cavazos and Suraj Srinivasan
As a global energy generating company, AES frequently faces challenges from political changes and instability. This is exacerbated by the fact that in many instances AES' primary customer is the government, which is also in charge of law-making. For example, AES'... View Details
Keywords: Political Risk; Asset Impairment; Risk Factors; Fair Value; Fair Value Accounting; Financial Reporting; Financial Statements; Energy Industry; Bulgaria; Dominican Republic; United States; Venezuela
Pérez Cavazos, Gerardo, and Suraj Srinivasan. "Accounting for Political Risk at AES." Harvard Business School Case 118-023, August 2017. (Revised November 2017.)
- August 2017 (Revised July 2019)
- Case
GROW: Using Artificial Intelligence to Screen Human Intelligence
By: Ethan Bernstein, Paul McKinnon and Paul Yarabe
Over 10% of all 2017 university graduates in Japan used GROW, an artificial intelligence platform and mobile app developed by Tokyo-based people analytics startup IGS, to recruit for a job. This case puts participants in the shoes of IGS founder and CEO Masahiro... View Details
Keywords: Big Data; Artificial Intelligence; Talent and Talent Management; Recruitment; Selection and Staffing; Human Resources; Information Technology; AI and Machine Learning; Analytics and Data Science; Financial Services Industry; Air Transportation Industry; Advertising Industry; Manufacturing Industry; Technology Industry; Japan
Bernstein, Ethan, Paul McKinnon, and Paul Yarabe. "GROW: Using Artificial Intelligence to Screen Human Intelligence." Harvard Business School Case 418-020, August 2017. (Revised July 2019.)
- 2017
- Working Paper
The Accounting Rookie Job Market: A Practitioner's Guide
By: Ethan Rouen
This paper offers guidance and shares collective wisdom for accounting Ph.D. students who will be entering the academic job market. It is divided into two sections. The first offers subjective advice on the dissertation process—from choosing a topic to surviving the... View Details
Rouen, Ethan. "The Accounting Rookie Job Market: A Practitioner's Guide." Harvard Business School Working Paper, No. 18-008, July 2017.
- 2017
- Working Paper
Knowledge Flows within Multinationals—Estimating Relative Influence of Headquarters and Host Context Using a Gravity Model
By: Prithwiraj Choudhury, Mike Horia Teodorescu and Tarun Khanna
From the perspective of a multinational subsidiary, we employ the classic gravity equation in economics to model and compare knowledge flows to the subsidiary from the MNC headquarters and from the host country context. We also generalize traditional economics gravity... View Details
- 2019
- Chapter
Product Market Strategy
By: Anoop Menon and Dennis Yao
Product market strategy is the collection of choices, actions and activities of a firm that determines how it positions itself in its product markets, and allows it to achieve and maintain a COMPETITIVE ADVANTAGE. This article examines product market strategy from the... View Details
Menon, Anoop, and Dennis Yao. "Product Market Strategy." In The Palgrave Encyclopedia of Strategic Management. Continuously updated edition, edited by Mie Augier and David J. Teece. Palgrave Macmillan, 2017. Electronic. (Pre-published, October 2013.)
- May 2017 (Revised March 2018)
- Case
Predicting Consumer Tastes with Big Data at Gap
By: Ayelet Israeli and Jill Avery
CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big... View Details
Keywords: Retailing; Preference Elicitation; Big Data; Predictive Analytics; Artificial Intelligence; Fashion; Marketing; Marketing Strategy; Marketing Channels; Brands and Branding; Consumer Behavior; Demand and Consumers; Analytics and Data Science; Forecasting and Prediction; E-commerce; Apparel and Accessories Industry; Consumer Products Industry; Fashion Industry; Retail Industry; United States; Canada; North America
Israeli, Ayelet, and Jill Avery. "Predicting Consumer Tastes with Big Data at Gap." Harvard Business School Case 517-115, May 2017. (Revised March 2018.)
- May 2017 (Revised September 2017)
- Case
Taj Hotels: Leading Change, Driving Profitability
By: Krishna Palepu, Anjali Raina and Rachna Chawla
Rakesh Sarna, MD and CEO of the Indian Hotels Company ltd (IHCL) was faced with the challenge of leading and embedding changes in IHCL to turnaround its trajectory. IHCL and its subsidiaries, headquartered in India, were a venerable hotel chain, collectively known as... View Details
Keywords: Turnaround; Hospitality Industry; Leadership; Brands and Branding; Marketing; Strategy; Globalization; Leading Change; Accommodations Industry; India
Palepu, Krishna, Anjali Raina, and Rachna Chawla. "Taj Hotels: Leading Change, Driving Profitability." Harvard Business School Case 117-061, May 2017. (Revised September 2017.)
- May 2017 (Revised October 2017)
- Case
Hyperloop Transportation Technologies: Building Breakthrough Innovations in Crowd-Powered Ecosystems
By: Lynda M. Applegate, Terri L. Griffith and Ann Majchrzak
Dirk Ahlborn, co-founder and CEO of Hyperloop Transportation Technologies, Inc. (HTT) looks back at the evolving organizational design and community that allows HTT to be crowd-powered. Since the founding in 2013, HTT has dealt with building an organization with less... View Details
Keywords: Collaboration; Crowdsourcing; Entrepreneurial Finance; Innovation; Organizational Design; Startups; Business Startups; Collaborative Innovation and Invention; Entrepreneurship; Finance; Product Development
Applegate, Lynda M., Terri L. Griffith, and Ann Majchrzak. "Hyperloop Transportation Technologies: Building Breakthrough Innovations in Crowd-Powered Ecosystems." Harvard Business School Case 817-134, May 2017. (Revised October 2017.)
- Article
Statistical Physics of Human Cooperation
By: Matjaž Perc, Jillian J. Jordan, David G. Rand, Zhen Wang, Stefano Boccaletti and Attila Szolnoki
Extensive cooperation among unrelated individuals is unique to humans, who often sacrifice personal benefits for the common good and work together to achieve what they are unable to execute alone. The evolutionary success of our species is indeed due, to a large... View Details
Keywords: Human Cooperation; Evolutionary Game Theory; Public Goods; Reward; Punishment; Tolerance; Self-organization; Pattern Formation; Cooperation; Behavior; Game Theory
Perc, Matjaž, Jillian J. Jordan, David G. Rand, Zhen Wang, Stefano Boccaletti, and Attila Szolnoki. "Statistical Physics of Human Cooperation." Physics Reports 687 (May 8, 2017): 1–51.
- May 2017
- Article
Agent-based Modeling: A Guide for Social Psychologists
By: Joshua Conrad Jackson, David Rand, Kevin Lewis, Michael I. Norton and Kurt Gray
Agent-based modeling is a longstanding but underused method that allows researchers to simulate artificial worlds for hypothesis testing and theory building. Agent-based models (ABMs) offer unprecedented control and statistical power by allowing researchers to... View Details
Jackson, Joshua Conrad, David Rand, Kevin Lewis, Michael I. Norton, and Kurt Gray. "Agent-based Modeling: A Guide for Social Psychologists." Social Psychological & Personality Science 8, no. 4 (May 2017): 387–395.
- May 2017
- Other Article
Stepwise Distributed Open Innovation Contests for Software Development: Acceleration of Genome-Wide Association Analysis
By: Andrew Hill, Po-Ru Loh, Ragu B. Bharadwaj, Pascal Pons, Jingbo Shang, Eva C. Guinan, Karim R. Lakhani, Iain Kilty and Scott Jelinsky
BACKGROUND:
The association of differing genotypes with disease-related phenotypic traits offers great potential to both help identify new therapeutic targets and support stratification of patients who would gain the greatest benefit from specific drug classes.... View Details
Keywords: Crowdsourcing; Genome-wide Association Study; Logistic Regression; Open Innovation; PLINK; Collaborative Innovation and Invention
Hill, Andrew, Po-Ru Loh, Ragu B. Bharadwaj, Pascal Pons, Jingbo Shang, Eva C. Guinan, Karim R. Lakhani, Iain Kilty, and Scott Jelinsky. "Stepwise Distributed Open Innovation Contests for Software Development: Acceleration of Genome-Wide Association Analysis." GigaScience 6, no. 5 (May 2017).