Publications

April 2024
Case

Dr. Tom Mihaljevic and Cleveland Clinic

By: Linda A. Hill and Lydia Begag

In December 2022, Dr. Tomislav (“Tom”) Mihaljevic, CEO and President of Cleveland Clinic, was reflecting on the last few years at the hospital, marked both by unprecedented challenges and remarkable achievements. Cleveland Clinic had recently been ranked the world’s... View Details

June 2014
Case

Riverview Law: Applying Business Sense to the Legal Market

By: Heidi K. Gardner and Silvia Hodges Silverstein

Riverview Law, run like a business rather than a traditional law firm, wants to expand its unconventional concept from the UK to the US. The firm's approach includes performing all legal work for annual fixed-price contracts, using data and analytics to advise clients... View Details

Keywords: Strategy; Professional Services; Disruptive Innovation; Law Firms; Client Service; Culture; Recruiting; Management; Professional Services Firms; Business Model; Legal Services Industry; United Kingdom; United States

23 May 2011
Op-Ed

Leading and Lagging Countries in Contributing to a Sustainable Society

which corporate and investor behavior is changing. We did so by analyzing data from more than 2,000 companies in 23 countries, and then ranked those countries based on the... View Details

Keywords: by Robert G. Eccles & George Serafeim

August 2018 (Revised October 2019)
Case

C3.ai—Driven to Succeed

By: Robert Simons and George Gonzalez

CEO Tom Siebel navigates his artificial intelligence (ai) startup through a series of pivots, market expansions, and even an elephant attack to become a leading platform ad service provider. The case describes his unusual management approach emphasizing employee... View Details

2015
Working Paper

Online Word of Mouth and Product Review Disagreement

By: Frank Nagle and Christoph Riedl

Studies of online word of mouth have frequently posited―but never systematically conceptualized and explored―that the level of disagreement between existing product reviews can impact the volume and the valence of future reviews. In this study we develop a theoretical... View Details

Keywords: Online Word Of Mouth; Online Communities; Viral Marketing; Online Product Reviews; Quality; Internet and the Web; Consumer Behavior; Marketing Reference Programs; Social and Collaborative Networks; Digital Marketing; Analytics and Data Science

SSRN

September 2020 (Revised February 2024)
Teaching Note

Artea (A), (B), (C), and (D): Designing Targeting Strategies

By: Eva Ascarza and Ayelet Israeli

Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and... View Details

Keywords: Targeted Advertising; Targeting; Race; Gender; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; United States

26 Jun 2018
First Look

New Research and Ideas, June 26, 2018

but this article shows it has never been true historically. Using longitudinal data on individual firms from the nineteenth century onwards, it reveals evidence of how entrepreneurs and firms with... View Details

Keywords: Dina Gerdeman

Eugene F. Soltes

Eugene Soltes is a Professor of Business Administration at Harvard Business School where his work focuses on corporate integrity and risk management. His research utilizes data analytics to identify organizational cultures and compliance systems that can effectively... View Details

15 May 2018
First Look

New Research and Ideas, May 15, 2018

suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I employ? Machine learning, data science, big data, and predictive View Details

Keywords: Dina Gerdeman

Karim R. Lakhani

Karim R. Lakhani is the Dorothy & Michael Hintze Professor of Business Administration at the Harvard Business School. He specializes in technology management, innovation, digital transformation and artificial... View Details

Keywords: biotechnology; communications; computer; health care; high technology; information technology industry; internet; pharmaceuticals; software; video games

May 2018 (Revised February 2019)
Case

The Powers That Be (Internet Edition): Google, Apple, Facebook, Amazon, and Microsoft

By: Jeffrey F. Rayport, Julia Kelley and Nathaniel Schwalb

As of early 2018, five U.S. technology companies—Google, Apple, Facebook, Amazon, and Microsoft—were among the largest companies in the world. Similarly, three Chinese technology firms—Baidu, Alibaba, and Tencent, or BAT—had emerged as global players due in part to the... View Details

Keywords: Internet and the Web; Business Ventures; Customers; Analytics and Data Science; Safety; Corporate Strategy; Competitive Strategy; Technology Industry

Chiara Farronato is Glenn and Mary Jane Creamer Associate Professor of Business Administration in the Technology and Operations Management Unit at Harvard Business School, and co-Principal Investigator of the Platform Lab at the Digital... View Details

2025
Working Paper

Data-driven Technologies and Local Information Advantages in Small Business Lending

By: Wilbur Chen, Jung Koo Kang and Aditya Mohan

We investigate whether banks' adoption of data-driven technologies influences competitive dynamics in local small business lending by diminishing the information advantages traditionally held by local banks. Using local newspaper closures as an adverse shock to the... View Details

Keywords: Data-driven Technologies; Local Information Advantages; Local Banks; Relationship Lending; Small Business Loans; Small Business; Local Range; Financing and Loans; Banks and Banking; Analytics and Data Science; Banking Industry

SSRN

May 2024
Article

Housing Policies and Energy Efficiency Spillovers in Low and Moderate Income Communities

By: Omar Isaac Asensio, Olga Churkina, Becky D. Rafter and Kira E O'Hare

Housing policies address the human dimensions of increasing urban density, but their energy and sustainability implications are hard to measure due to challenges with siloed civic data. This is especially critical when evaluating policies targeting low- and... View Details

Keywords: Energy Efficiency; Public Policy; Climate Change; Energy Conservation; Housing; Analytics and Data Science; Policy; Income; Environmental Sustainability; Real Estate Industry; United States

August 1991 (Revised March 1993)
Case

Champion International Corp.: Timber, Trade, and the Northern Spotted Owl

By: Forest L. Reinhardt

Champion's forest products division owns timberlands, sawmills, and plywood mills in the Pacific Northwest. The listing of the northern spotted owl as an endangered species, and restrictions on exports of logs from state-owned lands, have disrupted the stumpage, log... View Details

Keywords: Science-Based Business; Natural Environment; Product Marketing; Governing Rules, Regulations, and Reforms; Government and Politics; Environmental Sustainability; Corporate Strategy; Trade; Decisions; Management Teams; Forest Products Industry; North and Central America

2023
Article

Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten

By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma

The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an... View Details

Keywords: Analytics and Data Science; AI and Machine Learning; Decision Making; Governing Rules, Regulations, and Reforms

28 Aug 2018
First Look

New Research and Ideas, August 28, 2018

https://www.hbs.edu/faculty/Pages/item.aspx?num=54899 forthcoming Management Science How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove-Arrow Framework By:... View Details

Keywords: Dina Gerdeman

2024
Working Paper

Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference

By: Michael Lindon, Dae Woong Ham, Martin Tingley and Iavor I. Bojinov

Linear regression adjustment is commonly used to analyze randomized controlled experiments due to its efficiency and robustness against model misspecification. Current testing and interval estimation procedures leverage the asymptotic distribution of such estimators to... View Details

Keywords: Mathematical Methods; Analytics and Data Science