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November–December 2022
Article

Your Company Needs a Space Strategy. Now.

By: Matthew Weinzierl, Prithwiraj (Raj) Choudhury, Tarun Khanna, Alan MacCormack and Brendan Rosseau

Space is becoming a potential source of value for businesses across a range of sectors, including agriculture, pharmaceuticals, consumer goods, and tourism. To understand what the opportunities are for your company, the authors advise you to consider the four ways in... View Details

Keywords: Space Strategy; Emerging Markets; Natural Resources; Analytics and Data Science; Organizational Change and Adaptation; Adaptation; Competition; Aerospace Industry

2022
Article

OpenXAI: Towards a Transparent Evaluation of Model Explanations

By: Chirag Agarwal, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik and Himabindu Lakkaraju

While several types of post hoc explanation methods have been proposed in recent literature, there is very little work on systematically benchmarking these methods. Here, we introduce OpenXAI, a comprehensive and extensible opensource framework for evaluating and... View Details

Keywords: Measurement and Metrics; Analytics and Data Science

2015
Report

Clusters and Regional Economies: Implications for the Great Lakes - St. Lawrence Region

By: Christian H.M. Ketels

The Great Lakes – St. Lawrence Region, covering eight U.S. states and two Canadian provinces located around the lakes and waterways that have given this region its name, is what economic developers call a 'macro region'. It is an area of intensive economic interaction... View Details

Keywords: Clusters; Regional Policy; Great Lakes; Economic Development; Industry Clusters; Economy; Canada; United States

2012
Book

The Culture Cycle: How to Shape the Unseen Force That Transforms Performance

By: James Heskett

The contribution of culture to organizational performance is both substantial and quantifiable. This book presents the results of field research that demonstrates how an effective culture can account for up to half of the differential in performance between... View Details

Keywords: Customer Focus and Relationships; Learning; Framework; Policy; Retention; Books; Analytics and Data Science; Innovation and Invention; Management Practices and Processes; Organizational Culture; Performance Expectations; Research

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January 2024 (Revised February 2024)
Course Overview Note

Managing Customers for Growth: Course Overview for Students

By: Eva Ascarza

Managing Customers for Growth (MCG) is a 14-session elective course for second-year MBA students at Harvard Business School. It is designed for business professionals engaged in roles centered on customer-driven growth activities. The course explores the dynamics of... View Details

Keywords: Customer Relationship Management; Decision Making; Analytics and Data Science; Growth Management; Telecommunications Industry; Technology Industry; Financial Services Industry; Education Industry; Travel Industry

2019
Working Paper

Biometric Monitoring, Service Delivery and Misreporting: Evidence from Healthcare in India

By: Thomas Bossuroy, Clara Delavallade and Vincent Pons

Developing countries increasingly use biometric identification technology in hopes of improving the reliability of administrative information and delivering social services more efficiently. This paper exploits the random placement of biometric tracking devices in... View Details

Keywords: Biometric Technology; Health Care and Treatment; Technological Innovation; Analytics and Data Science; Quality; Performance Improvement; India

Web

Curriculum | MBA

Business School Financial Reporting and Control Harvard Business School Leadership & Organizational Behavior Harvard Business School Marketing Harvard Business School Technology & Operations Management Harvard Business School More on the MBA Required Curriculum JANUARY... View Details

September 2019 (Revised May 2021)
Case

pymetrics: International Expansion

By: John R. Wells and Benjamin Weinstock

In August 2018, pymetrics, a solution offering neuroscience-based recruiting tests, closed a $40 million funding round that valued the business at $160 million. Over 60 companies around the globe were using pymetrics tests in their recruiting process, including... View Details

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

May 2005
Exercise

Forecasting the Adoption of E-books

Gives students an opportunity to understand the challenges inherent in forecasting the diffusions of innovations. Provides data for forecasting the adoption of electronic books. Students are encouraged to use the Bass Model framework, while being cognizant of its... View Details

Keywords: Forecasting and Prediction; Framework; Books; Analytics and Data Science; Product Launch; Internet and the Web; Technology Adoption

2013
Working Paper

Span of Control and Span of Attention

By: Oriana Bandiera, Andrea Prat, Raffaella Sadun and Julie Wulf

Using novel data on CEO time use, we document the relationship between the size and composition of the executive team and the attention of the CEO. We combine information about CEO span of control for a sample of 65 companies with detailed data on how CEOs allocate... View Details

Keywords: Conferences; Analytics and Data Science; Leadership Style; Management Style; Managerial Roles; Time Management; Planning

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

2021
Working Paper

Studying the U.S.-Based Portfolio Companies of U.S. Impact Investors

By: M. Diane Burton, Gurveen Chadha, Shawn A. Cole, Abhishek Dev, Christina Jarymowycz, Leslie Jeng, Laura Kelley, Josh Lerner, Jaime R. Diaz Palacios, Yue (Cynthia) Xu and T. Robert Zochowski

Recent years have seen a dramatic increase in the reliance on market-based solutions to social and environmental problems around the world (Barman 2016; Horvath and Powell 2020). The growth of impact investing is a vivid example of this trend and, although there have... View Details

Keywords: Impact Investing; Impact Portfolio Companies; Investment; Social Issues; Environmental Sustainability; Investment Portfolio; Business Ventures; Analytics and Data Science; Performance; United States

Jill J. Avery

Dr. Jill Avery is a Senior Lecturer of Business Administration and C. Roland Christensen Distinguished Management Educator in the marketing unit at Harvard Business School. She is a respected authority on branding and brand management, customer relationship... View Details

Keywords: consumer products; arts; advertising; automobiles; retailing; fashion; hotels ＆ motels; food; beverage

2023
Other Article

The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications

By: Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers and Stuart Shieber

Innovation is a major driver of economic and social development, and information about many kinds of innovation is embedded in semi-structured data from patents and patent applications. Though the impact and novelty of innovations expressed in patent data are difficult... View Details

Keywords: USPTO; Natural Language Processing; Classification; Summarization; Patent Novelty; Patent Trolls; Patent Enforceability; Patents; Innovation and Invention; Intellectual Property; AI and Machine Learning; Analytics and Data Science

2023
Article

Experimental Evaluation of Individualized Treatment Rules

By: Kosuke Imai and Michael Lingzhi Li

The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a... View Details

Keywords: Causal Inference; Heterogeneous Treatment Effects; Precision Medicine; Uplift Modeling; Analytics and Data Science; AI and Machine Learning

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February 2007 (Revised May 2008)
Supplement

Bancaja: Developing Customer Intelligence (B)

In 1996, CEO Fernando Garcia Checa wanted to make customer analytics a part of Bancaja's new strategy. Bancaja, a savings bank based in Valencia, Spain, was expanding and wanted to exploit customer information to increase commercial effectiveness. At the same time, it... View Details

Keywords: Customer Relationship Management; Credit Cards; Analytics and Data Science; Knowledge Use and Leverage; Marketing Strategy; Banking Industry; Spain

Program

Driving Corporate Performance

are using powerful performance measurement and management control systems to confront some of today's biggest challenges and opportunities, such as improving employee motivation, using AI and data analytics... View Details

November 1997 (Revised January 2003)
Case

Martin Smith: January 2002

By: Josh Lerner

An MBA student must choose between offers from three private equity organizations. Each organization has distinct strengths and weaknesses, and different implications for the student's career development. The case presents compensation and employment data about the... View Details

Keywords: Private Equity; Compensation and Benefits; Analytics and Data Science; Job Offer; Personal Development and Career

November–December 2015
Article

Active Postmarketing Drug Surveillance for Multiple Adverse Events

By: Joel Goh, Margrét V. Bjarnadóttir, Mohsen Bayati and Stefanos A. Zenios

Postmarketing drug surveillance is the process of monitoring the adverse events of pharmaceutical or medical devices after they are approved by the appropriate regulatory authorities. Historically, such surveillance was based on voluntary reports by medical... View Details

Keywords: Drug Surveillance; Health Care; Stochastic Models; Queueing; Diffusion Approximation; Brownian Motion; Health Care and Treatment; Analytics and Data Science; Analysis

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