Publications

May 2005
Exercise

Forecasting the Adoption of E-books

By: Elie Ofek

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

Web

Live from Klarman Hall - Alumni

Population, and Data Science Harvard T.H. Chan School of Public Health Nicolò Fusi General Manager Microsoft Research Sham Kakade Co-Director Harvard University Kempner Institute Armen Mkrtchyan Origination... View Details

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

SSRN

Third Quarter 2018
Article

Why and How Investors Use ESG Information: Evidence from a Global Survey

By: Amir Amel-Zadeh and George Serafeim

Using survey data from a sample of senior investment professionals from mainstream (i.e., not SRI funds) investment organizations, we provide insights into why and how investors use reported environmental, social, and governance (ESG) information. Relevance to... View Details

Keywords: ESG; ESG (Environmental, Social, Governance) Performance; Sustainability; Investment Management; Investment Strategy; Metrics; Standard Setting; Accounting Standards; Finance; Investment; Information; Environmental Sustainability; Governance; Performance Effectiveness; Strategy

SSRN

2017
Article

Natural Environmental Responsibility in Indian Corporations: A Mixed Method Study

By: Shashank Shah

The world is going through unprecedented environmental crisis. The type of destruction and dissolution of natural resources and elements by individuals and institutions that has been witnessed in the last century is much more than that witnessed in the previous... View Details

Keywords: Corporate Social Responsibility and Impact; Environmental Sustainability; Natural Environment; Management Practices and Processes; Research; Framework; India

26 Apr 2021
News

The Future of Women in the Workplace

January 2021 (Revised June 2023)
Case

Biobot Analytics

By: Raymond Kluender, Joshua Krieger and Mitchell Weiss

In 2017, Newsha Ghaeli and Mariana Matus were deciding whether to leave their labs at the Massachusetts Institute of Technology, put other job opportunities aside, and dive full-time into founding a wastewater analysis start-up, Biobot. Ghaeli, an architect, and Matus,... View Details

Keywords: Entrepreneurship; Information Technology; City; Analytics and Data Science; Personal Development and Career; Technology Industry; Utilities Industry; Health Industry; Information Technology Industry; Information Industry; Biotechnology Industry; United States; Kuwait; Korean Peninsula

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

September–October 2020
Article

Social-Impact Efforts That Create Real Value

By: George Serafeim

Until the mid-2010s few investors paid attention to environmental, social, and governance (ESG) data—information about companies’ carbon footprints, labor policies, board makeup, and so forth. Today the data is widely used by investors. How can organizations create... 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

Abstract

Using detailed data on recipients of bachelor's degrees from MIT between 2006 and 2012, I examine the selection of students into finance or science and engineering (S&E). I find that academic achievement in college is negatively correlated with... View Details

02–03 Dec 2022
HBS Alumni Events

D^3 Catalyst: No Code Machine Learning and Artificial Intelligence

Do you want to delve into Machine Learning and Artificial Intelligence, but you feel overwhelmed and intimidated? Do you want to leverage the power of Machine Learning and Artificial Intelligence without writing any code? Do you want to leverage Machine Learning and... View Details

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

April 2008
Article

The Survey of Industrial R&D—Patent Database Link Project

By: William R. Kerr and Shihe Fu

This paper details the construction of a firm-year panel dataset combining the NBER Patent Dataset with the Survey of Industrial R&D conducted by the Census Bureau and National Science Foundation. The dataset constitutes a platform that offers an unprecedented view of... View Details

Keywords: Analytics and Data Science; Patents; Surveys; Research and Development; Innovation and Invention; Performance Productivity; Projects; Management Practices and Processes; Management Analysis, Tools, and Techniques

26 Mar 2012
Research & Ideas

What Neuroscience Tells Us About Consumer Desire

for behavior, and draws on concepts and techniques from neuroscience to inform her research in marketing. For corporations, on the other hand, the science is a means to an end goal of selling more stuff. But the tools, once restricted to... View Details

Keywords: by Carmen Nobel; Consumer Products

28 Jan 2016
News

What Flint's Water Crisis Means For The Future of U.S. Cities

June 2011 (Revised February 2024)
Background Note

Carbon Footprints: Methods and Calculations

By: Michael W. Toffel, Stephanie van Sice and Kelsey Carter

Describes methods to calculate the carbon footprint (greenhouse gas emissions) of an organization's operations and supply chain, and a product or service. Illustrates concepts with examples of calculating the carbon footprint of organizations and products. Provides... View Details

Keywords: Measurement; Climate Change; Climate Impact; Carbon Accounting; Carbon Footprint; Carbon Emissions; Sustainability; Environmental Management; Operations; Supply Chain; Pollutants; Measurement and Metrics; Environmental Sustainability

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