Publications

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

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

Educators

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

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

Web

Featured Topics - Faculty & Research

History Case Method Project Creating Emerging Markets Digital Data Design Institute at Harvard Entrepreneurship Global Health Care Impact Investments Impact-Weighted Accounts Institute for Business in Global Society Institute for Strategy... View Details

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

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

Educators

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

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

Summer 2012
Article

How to Become a Sustainable Company

By: Robert G. Eccles, Kathleen Miller Perkins and George Serafeim

Using field and survey data we identify the characteristics of sustainable companies, and we develop a two-stage model that can help companies develop a culture of innovation, trust, and the ability for transformational change. View Details

Keywords: Sustainability; Innovation; Leadership; Environmental Sustainability; Organizational Culture; Innovation and Invention; Trust; Organizational Change and Adaptation

Web

Live from Klarman Hall - Alumni

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 Partner Flagship... View Details

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

Educators

Zhongming Jiang is a first-year Ph.D. student in Marketing (Quantitative) at Harvard Business School. His research focuses on developing methodologies for Customer Relationship Management (CRM) that enable personalized interventions, dynamic customer... View Details

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

Web

Business Economics - Doctoral

harness it toward practical applications. Your coursework culminates in a written exam administered jointly by the Graduate School of Arts and Sciences (GSAS) and HBS at the end of your second year on two special fields of study. In... View Details

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