Publications
Publications
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- All HBS Web
(2,149)
- Faculty Publications (244)
- February 2021
- Case
Digital Manufacturing at Amgen
By: Shane Greenstein, Kyle R. Myers and Sarah Mehta
This case discusses efforts made by biotechnology (biotech) company Amgen to introduce digital technologies into its manufacturing processes. Doing so is complicated by the fact that the process for manufacturing biologics—or therapeutics made from living cells—is... View Details
Keywords: Digital Technologies; Change; Change Management; Decision Making; Cost vs Benefits; Decisions; Information; Analytics and Data Science; Innovation and Invention; Innovation and Management; Innovation Leadership; Innovation Strategy; Technological Innovation; Jobs and Positions; Knowledge; Leadership; Organizational Culture; Science; Strategy; Information Technology; Technology Adoption; Biotechnology Industry; Pharmaceutical Industry; United States; California; Puerto Rico; Rhode Island
- 2021
- Working Paper
Connecting Expected Stock Returns to Accounting Valuation Multiples: A Primer
By: Akash Chattopadhyay, Matthew R. Lyle and Charles C.Y. Wang
We outline a framework in which accounting “valuation anchors" could be connected to expected stock returns. Under two general conditions, expected log returns is a log-linear function of a valuation (market value-to-accounting) multiple and the expected growth in the... View Details
Keywords: Expected Returns; Present Value; Investment Return; Accounting; Valuation; Information; Framework
- 2021
- Working Paper
Status and Mortality: Is There a Whitehall Effect in the United States?
By: Tom Nicholas
Do white collar workers with lower social status in the occupational hierarchy die younger? The influential Whitehall studies of British civil servants identified a strong inverse relationship between employment rank and mortality, but we do not know if this effect... View Details
- Winter 2021
- Editorial
Introduction
This issue of Negotiation Journal is dedicated to the theme of artificial intelligence, technology, and negotiation. It arose from a Program on Negotiation (PON) working conference on that important topic held virtually on May 17–18. The conference was not the... View Details
- Article
Robust and Stable Black Box Explanations
By: Himabindu Lakkaraju, Nino Arsov and Osbert Bastani
As machine learning black boxes are increasingly being deployed in real-world applications, there
has been a growing interest in developing post hoc explanations that summarize the behaviors
of these black boxes. However, existing algorithms for generating such... View Details
- 2023
- Working Paper
The Market for Healthcare in Low Income Countries
By: Abhijit Banerjee, Abhijit Chowdhury, Jishnu Das, Jeffrey Hammer, Reshmaan Hussam and Aakash Mohpal
Patient trust is an important driver of the demand for healthcare. But it may also impact supply:
doctors who realize that patients may not trust them may adjust their behavior in response. We
assemble a large dataset that assesses clinical performance using... View Details
- 2020
- Working Paper
Designing, Not Checking, for Policy Robustness: An Example with Optimal Taxation
By: Benjami Lockwood, Afras Y. Sial and Matthew C. Weinzierl
Economists typically check the robustness of their results by comparing them across plausible ranges of parameter values and model structures. A preferable approach to robustness—for the purposes of policymaking and evaluation—is to design policy that takes these... View Details
- September 2020 (Revised July 2022)
- Technical Note
Algorithmic Bias in Marketing
By: Ayelet Israeli and Eva Ascarza
This note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P’s of marketing – promotion, price, place and product—characterizing the marketing... View Details
Keywords: Algorithmic Data; Race And Ethnicity; Promotion; ＂Marketing Analytics＂; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeting; Targeted Advertising; Pricing Algorithms; Ethical Decision Making; Customer Heterogeneity; Marketing; Race; Ethnicity; Gender; Diversity; Prejudice and Bias; Marketing Communications; Analytics and Data Science; Analysis; Decision Making; Ethics; Customer Relationship Management; E-commerce; Retail Industry; Apparel and Accessories Industry; United States
- June 2020
- Background Note
Customer Management Dynamics and Cohort Analysis
By: Elie Ofek, Barak Libai and Eitan Muller
The digital revolution has allowed companies to amass considerable amounts of data on their customers. Using this information to generate actionable insights is fast becoming a critical skill that firms must master if they wish to effectively compete and win in today’s... View Details
- 2020
- Working Paper
Iterative Coordination and Innovation
By: Sourobh Ghosh and Andy Wu
Agile management practices from the software industry continue to transform the way organizations innovate across industries, yet they remain understudied in the organizations literature. We investigate the widespread Agile practice of iterative coordination: frequent... View Details
- May–June 2020
- Article
The Agenda for the Next Generation of Health Care Information Technology
By: Thomas W. Feeley, Zachary Landman and Michael E. Porter
As the diffusion of value-based health care efforts accelerates globally, the need for interoperable information technology systems that support value-based care is essential. Such systems are needed to facilitate dramatic improvements in patient outcomes and... View Details
- 2021
- Working Paper
Changing Ingroup Boundaries: The Effect of Immigration on Race Relations in the U.S.
By: Vasiliki Fouka and Marco Tabellini
How do social group boundaries evolve? Does the appearance of a new outgroup change the ingroup's perceptions of other outgroups? We introduce a conceptual framework of context-dependent categorization, in which exposure to one minority leads to recategorization of... View Details
Keywords: In-group-out-group Relations; Immigration; Race; Attitudes; Boundaries; Prejudice and Bias
- March 2020
- Supplement
People Analytics at Teach For America (B)
By: Jeffrey T. Polzer and Julia Kelley
This is a supplement to the People Analytics at Teach For America (A) case. In this supplement, situated one year after the A case, Managing Director Michael Metzger must decide how to apply his team's predictive models generated from the previous year’s data. View Details
- Mar 2020
- Conference Presentation
A New Analysis of Differential Privacy's Generalization Guarantees
By: Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Moshe Shenfeld
We give a new proof of the "transfer theorem" underlying adaptive data analysis: that any mechanism for answering adaptively chosen statistical queries that is differentially private and sample-accurate is also accurate out-of-sample. Our new proof is elementary and... View Details
- Working Paper
Rebates in the Pharmaceutical Industry: Evidence from Medicines Sold in Retail Pharmacies in the U.S.
By: Pragya Kakani, Michael Chernew and Amitabh Chandra
Rising list prices are often used to illustrate the burden of prescription drug spending, but payers routinely negotiate rebates from manufacturers that generate differences between list and net prices. List prices are easily available and affect patient cost-sharing,... View Details
- March–April 2020
- Article
What's Really Holding Women Back? It's Not What Most People Think
By: R. Ely and Irene Padavic
Ask people to explain why women remain so dramatically underrepresented in the senior ranks of most companies, and you will hear from the vast majority a lament that goes something like this: High-level jobs require extremely long hours, women's devotion to family... View Details
- 2020
- Working Paper
A General Theory of Identification
By: Iavor Bojinov and Guillaume Basse
What does it mean to say that a quantity is identifiable from the data? Statisticians seem to agree
on a definition in the context of parametric statistical models — roughly, a parameter θ in a model
P = {Pθ : θ ∈ Θ} is identifiable if the mapping θ 7→ Pθ is injective.... View Details
- 2020
- Book
Experimentation Works: The Surprising Power of Business Experiments
By: Stefan Thomke
Don’t fly blind. See how the power of experiments works for you. When it comes to improving customer experiences, trying out new business models, or developing new products, even the most experienced managers often get it wrong. They discover that intuition,... View Details
- January 2020 (Revised July 2020)
- Supplement
MoviePass: The 'Get Big Fast' Strategy
By: Benjamin C. Esty and Daniel Fisher
In August 2017, MoviePass dramatically lowered its subscription price from $50 per month to just $10 for up to one movie per day. The idea was to rapidly scale the business to the point where they could generate incremental revenue streams form related businesses... View Details
Keywords: Market Entry; Growth Strategy; Profit Vs. Growth; Subscription Business; Cash Burn; Data Analytics; Get-big-fast; Buyer Power; Strategy Implementation; Movie Industry; Racing; Business Strategy; Value Creation; Consolidation; Cash Flow; Growth Management; Business Startups; Entrepreneurship; Disruptive Innovation; Mobile Technology; Motion Pictures and Video Industry; Entertainment and Recreation Industry; Advertising Industry; Information Industry; United States
- 2019
- Article
Time Series Experiments and Causal Estimands: Exact Randomization Tests and Trading
By: Iavor I Bojinov and Neil Shephard
We define causal estimands for experiments on single time series, extending the potential outcome framework to dealing with temporal data. Our approach allows the estimation of a broad class of these estimands and exact randomization based p-values for testing causal... View Details