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- Faculty Publications (32)
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- All HBS Web (204)
- Faculty Publications (32)
- Web
Introduction - The Audience - The Human Factor – Baker Library | Bloomberg Center, Historical Collections
HBS Home HBS Index Contact Us Harvard Business School Baker Library Historical Collections The Human Factor Introducing the Industrial Life Photograph Collection at the Baker Library Introduction The... View Details
- Article
The Impact of the 'Open' Workspace on Human Collaboration
By: Ethan Bernstein and Stephen Turban
Organizations’ pursuit of increased workplace collaboration has led managers to transform traditional office spaces into “open,” transparency-enhancing architectures with fewer walls, doors, and other spatial boundaries, yet there is scant direct empirical research on... View Details
Keywords: Open Office; Transparency; Collaboration; Collective Intelligence; Workspace; Workspace Design; Architecture; Cubicles; Boundaries; Spatial Boundaries; Human Behavior; Propinquity; Co-location; Interaction; Sociometers; People Analytics; Buildings and Facilities; Communication; Design; Human Resources; Leadership; Management; Organizational Design; Organizational Structure; Networks; Social and Collaborative Networks; Information Technology; United States
Bernstein, Ethan, and Stephen Turban. "The Impact of the 'Open' Workspace on Human Collaboration." Art. 239. Philosophical Transactions of the Royal Society B, Biological Sciences 373, no. 1753 (August 19, 2018).
- December 2023 (Revised August 2024)
- Supplement
Microsoft Azure and the Cloud Wars (B)
By: Andy Wu and Matt Higgins
By 2023, the global market for cloud infrastructure had consolidated into a three-horse race. As of Q4 2022, Amazon, Microsoft, and Google collectively accounted for 66% of the global market. AWS had a market share of 33%, Microsoft Azure had 23%, and Google Cloud had... View Details
Keywords: Microsoft; Artificial Intelligence; AI; Competition; Information Infrastructure; Market Participation
Wu, Andy, and Matt Higgins. "Microsoft Azure and the Cloud Wars (B)." Harvard Business School Supplement 724-434, December 2023. (Revised August 2024.)
- October 2019
- Case
Feeling Machines: Emotion AI at Affectiva
By: Shane Greenstein and John Masko
In 2016, Affectiva—a Boston-based emotion AI software company with a long track record of building emotion-sensing software for market research—had attempted to expand into new verticals by releasing a mobile software development kit (SDK) that downloaders could adapt... View Details
Keywords: Artificial Intelligence; Market Research; Business Model; Finance; Revenue; Decision Making; Risk and Uncertainty; Market Entry and Exit; Applications and Software; AI and Machine Learning; Information Technology Industry; Auto Industry; United States
Greenstein, Shane, and John Masko. "Feeling Machines: Emotion AI at Affectiva." Harvard Business School Case 620-058, October 2019.
- July 2023 (Revised July 2023)
- Background Note
Generative AI Value Chain
By: Andy Wu and Matt Higgins
Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details
Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value
Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)
- 2022
- Working Paper
Machine Learning Models for Prediction of Scope 3 Carbon Emissions
By: George Serafeim and Gladys Vélez Caicedo
For most organizations, the vast amount of carbon emissions occur in their supply chain and in the post-sale processing, usage, and end of life treatment of a product, collectively labelled scope 3 emissions. In this paper, we train machine learning algorithms on 15... View Details
Keywords: Carbon Emissions; Climate Change; Environment; Carbon Accounting; Machine Learning; Artificial Intelligence; Digital; Data Science; Environmental Sustainability; Environmental Management; Environmental Accounting
Serafeim, George, and Gladys Vélez Caicedo. "Machine Learning Models for Prediction of Scope 3 Carbon Emissions." Harvard Business School Working Paper, No. 22-080, June 2022.
- Career Coach
Christine Van Dae
Christine is the Associate Director, Market Intelligence in the HBS Career & Professional Development (CPD) Office. In her role, Christine oversees the collection and reporting of employment data for... View Details
- November 2017
- Teaching Note
Predicting Consumer Tastes with Big Data at Gap
By: Ayelet Israeli and Jill Avery
CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big... View Details
Keywords: Brands; Brand ＆ Product Management; Big Data; ＂Marketing Analytics＂; Consumer Behavior; Predictive Analytics; Forecasting; Preferences; Operation Management; Distribution Channels; Marketing; Marketing Channels; Marketing Strategy; Brands and Branding; Forecasting and Prediction; Data and Data Sets; Retail Industry; Fashion Industry; Apparel and Accessories Industry; United States; North America
- 13 Nov 2019
- Research & Ideas
Don't Turn Your Marketing Function Over to AI Just Yet
Imagine a future in which a smart marketing machine can predict the needs and habits of individual consumers and the dynamics of competitors across industries and markets. This device would collect data to answer strategic questions,... View Details
Keywords: by Kristen Senz
- Teaching Interest
Overview
Michael has experience in both lecture-based and experiential education teaching methods.
He designed and teaches a 2-day professional development course at Harvard titled “Collaborative Leadership: Building the Organization of the Future” that provides... View Details
He designed and teaches a 2-day professional development course at Harvard titled “Collaborative Leadership: Building the Organization of the Future” that provides... View Details
- 11 Feb 2020
- Sharpening Your Skills
10 Rules Entrepreneurs Need to Know Before Adopting AI
Although adoption of artificial intelligence (AI) and machine learning (ML) for the enterprise is still in the early days, the technology has matured enough for entrepreneurs to start gathering inspiration and evaluating opportunities for... View Details
Keywords: by Rocio Wu
- September 2013 (Revised August 2015)
- Background Note
Leadership and Teaming
By: Ethan Bernstein
Small differences in the leadership of teams can have large consequences for the success of their efforts. Many initiatives fail not because of a fatal error in judgment or insufficient ideas, knowledge, motivation, or capabilities to deliver a solution. They fail... View Details
Keywords: Teams; Teaming; Leadership And Managing People; Leadership; Team Effectiveness; Team Performance; Team Design; Team Leadership; Teamwork; Team Process; Team Function; Team Launch; 60/30/10 Rule; Team Boundary; Distribution Of Leadership Authority; Self-Managed Teams; Virtual Teams; Unbounded Teams; Acts Of Leadership; Execution Teams; Decision Making Teams; Creativity Teams; Team Size; Task Design; Team Timeline; Team Roles; Team Representation; Diversity; Team Familiarity; Collective Intelligence; Team Stages Of Development; Team Coaching; Performance Pressure; X-Teams; Team Focus; Interaction; Management Teams; Managerial Roles; Management Systems; Management Style; Management Skills; Management Practices and Processes; Organizational Design; Organizational Structure; Performance Effectiveness; Performance Efficiency; Performance Productivity; Groups and Teams; Networks; Social Psychology; Behavior; Conflict and Resolution; Creativity; Social and Collaborative Networks; Satisfaction; Prejudice and Bias; Power and Influence; Personal Characteristics; Familiarity; Cognition and Thinking; Attitudes; Projects; Organizational Culture; Organizational Change and Adaptation; Leadership Development; Leadership Style; Leading Change; Knowledge Use and Leverage; Knowledge Sharing; Collaborative Innovation and Invention; Innovation and Management; Innovation Leadership; Design; Interpersonal Communication; Accommodations Industry; Accounting Industry; Advertising Industry; Aerospace Industry; Agriculture and Agribusiness Industry; Air Transportation Industry; Apparel and Accessories Industry; Auto Industry; Banking Industry; Battery Industry; Beauty and Cosmetics Industry; Bicycle Industry; Biotechnology Industry; Chemical Industry; Communications Industry; Computer Industry; Construction Industry; Consulting Industry; Consumer Products Industry; Distribution Industry; Education Industry; Electronics Industry; Employment Industry; Energy Industry; Entertainment and Recreation Industry; Fashion Industry; Financial Services Industry; Fine Arts Industry; Food and Beverage Industry; Forest Products Industry; Forestry Industry; Green Technology Industry; Health Industry; Industrial Products Industry; Information Industry; Information Technology Industry; Insurance Industry; Journalism and News Industry; Legal Services Industry; Manufacturing Industry; Media and Broadcasting Industry; Medical Devices and Supplies Industry; Mining Industry; Motion Pictures and Video Industry; Motorcycle Industry; Music Industry; Pharmaceutical Industry; Public Administration Industry; Public Relations Industry; Publishing Industry; Pulp and Paper Industry; Rail Industry; Real Estate Industry; Retail Industry; Rubber Industry; Semiconductor Industry; Service Industry; Shipping Industry; Sports Industry; Steel Industry; Technology Industry; Telecommunications Industry; Tourism Industry; Transportation Industry; Travel Industry; Utilities Industry; Video Game Industry; Web Services Industry; Asia; North and Central America; South America; Atlantic Ocean; Central Asia; Europe; Latin America; Middle East; Oceania; West Indies
Bernstein, Ethan. "Leadership and Teaming." Harvard Business School Background Note 414-033, September 2013. (Revised August 2015.)
- 08 Feb 2017
- HBS Seminar
Andrew Mao, Microsoft Research
- 08 Mar 2017
- HBS Seminar
Fernanda Viégas and Martin Wattenberg, Google
- 03 Oct 2017
- First Look
First Look at Research and Ideas, October 3, 2017
Reenen Abstract—We investigate the link between hospital performance and managerial education by collecting a large database of management practices and skills in hospitals across nine countries. We find that hospitals that are closer to... View Details
Keywords: by Sean Silverthorne
- 2015
- Working Paper
Crowdsourced Digital Goods and Firm Productivity: Evidence from Open Source Software
By: Frank Nagle
As firms increasingly rely on crowdsourced digital goods, understanding their impact on productivity becomes critical. This study measures the firm-level productivity impact of one such good, non-pecuniary (free) open source software (OSS). The results show a... View Details
Nagle, Frank. "Crowdsourced Digital Goods and Firm Productivity: Evidence from Open Source Software." Harvard Business School Working Paper, No. 15-062, January 2015. (Revised June 2015.)
- 17 Jun 2014
- First Look
First Look: June 17
classification and are more dynamic, pliable, and concentrated. We also show that co-search intensity captures the degree of similarity between firms. Our results highlight the potential of the collective wisdom of investors―extracted... View Details
Keywords: Sean Silverthorne
- 14 Apr 2014
- Working Paper Summaries
Facts and Figuring: An Experimental Investigation of Network Structure and Performance in Information and Solution Spaces
- Research Summary
Overview
Navid has worked with different organizations across various industries, from the Federal Reserve to medical device manufacturers, heavy construction equipment sellers, and B2B software providers, to assemble proprietary datasets in studying organizational buying.... View Details