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Show Results For
- All HBS Web
(1,855)
- People (3)
- News (540)
- Research (1,097)
- Events (11)
- Multimedia (15)
- Faculty Publications (623)
- 01 Mar 2018
- What Do You Think?
Two Decades Later, is the 'New Economy' Finally Here?
“Many decisions, judgments, and forecasts now made by humans should be turned over to algorithms Even though machine learning systems still lack common sense, they are accomplishing ‘useful work’ and are advancing rapidly.” The massive... View Details
Keywords: by James Heskett
- Article
Developing a Digital Mindset: How to Lead Your Organization into the Age of Data, Algorithms, and AI
By: Tsedal Neeley and Paul Leonardi
Learning new technological skills is essential for digital transformation. But it is not enough. Employees must be motivated to use their skills to create new opportunities. They need a digital mindset: a set of attitudes and behaviors that enable people and... View Details
Keywords: Machine Learning; AI; Information Technology; Transformation; Competency and Skills; Employees; Technology Adoption; Leading Change; Digital Transformation
Neeley, Tsedal, and Paul Leonardi. "Developing a Digital Mindset: How to Lead Your Organization into the Age of Data, Algorithms, and AI." S22032. Harvard Business Review 100, no. 3 (May–June 2022): 50–55.
- 05 Nov 2024
- Research & Ideas
AI Can Help Leaders Communicate, But Can't Make Employees Listen
If a chatbot can Slack convincingly in the boss’s voice, will employees follow orders once they realize the CEO is actually a machine? A novel two-part study finds that an artificial intelligence (AI) chatbot trained to write like a View Details
- 27 Jun 2024
- Research & Ideas
Gen AI Marketing: How Some 'Gibberish' Code Can Give Products an Edge
at the top because it genuinely has more desired features? Or is it just because I’m putting in some gibberish?” she asks. You Might Also Like: Why Technology Alone Can't Solve AI's Bias Problem How Humans... View Details
- 03 Apr 2008
- Working Paper Summaries
Bridge Building in Venture Capital-Backed Acquisitions
Keywords: by Paul A. Gompers & Yuhai Xuan
- Article
Unregulated Emotional Risks of AI Wellness Apps
By: Julian De Freitas and Glenn Cohen
We propose that AI-driven wellness apps powered by large language models can foster extreme emotional attachments and dependencies akin to human relationships—posing risks like ambiguous loss and dysfunctional dependence—that challenge current regulatory frameworks and... View Details
- 17 Jul 2006
- Lessons from the Classroom
Developing a Strategy for Digital Convergence
Following the dot-com bust at the turn of the century, the technology business went through a gloomy period, 2001-2002, when innovation dried up, MBAs looked for careers in finance, and investors put their funds in a holding pattern.... View Details
- 2020
- Working Paper
Determinants of Early-Stage Startup Performance: Survey Results
To explore determinants of new venture performance, the CEOs of 470 early-stage startups were surveyed regarding a broad range of factors related to their venture’s customer value proposition, product management, marketing, technology and operations, financial... View Details
Keywords: Startups; Survey Research; Performance Analysis; Entrepreneurship; Performance; Analysis; Business Startups; Failure; Surveys
Eisenmann, Thomas R. "Determinants of Early-Stage Startup Performance: Survey Results." Harvard Business School Working Paper, No. 21-057, October 2020.
- December 2010
- Article
Work Pray Love
This article identifies five problematic issues in the intersection of work and life that create human resource challenges for organizations and their employees. These include work overload, the slow pace of adopting telecommuting, gender-related pay gaps, a household... View Details
Keywords: Wages; Work-Life Balance; Religion; Technology Adoption; Problems and Challenges; Human Resources; Gender
Kanter, Rosabeth M. "Work Pray Love." Harvard Business Review 88, no. 12 (December 2010).
- June 1992 (Revised March 2006)
- Case
Concordia Casting Company
Describes five years of development in a centralized data processing activity serving a highly decentralized corporation. Data processing manager discovers that a major software system conversion is a full year behind schedule, and subsequently makes several managerial... View Details
Keywords: Analytics and Data Science; Applications and Software; System; Information Technology; Change Management; Organizational Change and Adaptation; Leadership Style; Leading Change; Human Resources; Conflict and Resolution; Supply Chain Management; Accounting; Auto Industry
McFarlan, F. Warren. "Concordia Casting Company." Harvard Business School Case 192-151, June 1992. (Revised March 2006.)
- February 2019
- Case
Miroglio Fashion (A)
By: Sunil Gupta and David Lane
Francesco Cavarero, chief information officer of Miroglio Fashion, Italy’s third-largest retailer of women’s apparel, was trying to bring analytical rigor to the company’s forecasting and inventory management decisions. But fashion is inherently hard to predict. Can... View Details
Keywords: Inventory Management; Demand Forecasting; Artificial Intelligence; Machine Learning; Forecasting and Prediction; Operations; Management; Decision Making; AI and Machine Learning; Apparel and Accessories Industry; Fashion Industry
Gupta, Sunil, and David Lane. "Miroglio Fashion (A)." Harvard Business School Case 519-053, February 2019.
- September 2017
- Case
Sensing (and Monetizing) Happiness at Hitachi
By: Ethan Bernstein and Stephanie Marton
Inspired by research linking happiness and productivity, Hitachi had invested in developing new “people analytics” technologies to help companies increase employee happiness. Hitachi had begun manufacturing high-tech badges that quantify a wearer’s activity patterns.... View Details
Keywords: People Analytics; Japan; Sociometers; Wearables; Interpersonal Communication; Human Resources; Happiness; Technology Industry; Japan
Bernstein, Ethan, and Stephanie Marton. "Sensing (and Monetizing) Happiness at Hitachi." Harvard Business School Case 418-019, September 2017.
- February 2016 (Revised May 2016)
- Case
Astroscale, Space Debris, and Earth's Orbital Commons
By: Matthew Weinzierl, Angela Acocella and Mayuka Yamazaki
An engineer and technology entrepreneur, Nobu Okada, had turned a mid-life crisis into a bold—some would say quixotic—quest to prevent a tragedy of the commons at the global scale. Namely, Okada believed the accumulation of debris in near-Earth orbital space posed a... View Details
Keywords: Market Entry and Exit; Global Range; Entrepreneurship; Crisis Management; Wastes and Waste Processing; Economics; Aerospace Industry
Weinzierl, Matthew, Angela Acocella, and Mayuka Yamazaki. "Astroscale, Space Debris, and Earth's Orbital Commons." Harvard Business School Case 716-037, February 2016. (Revised May 2016.)
- 2010
- Chapter
Lessons from Catastrophe Reinsurance
By: Kenneth A. Froot
Of the 20 most costly catastrophes since 1970, more than half have occurred since 2001. Is this an omen of what the 21st century will be? How might we behave in this new, uncertain, and more dangerous environment? Will our actions be rational or irrational? A select... View Details
- 24 Jan 2019
- HBS Seminar
Melissa Valentine, Stanford University
- April 2024 (Revised December 2024)
- Case
Anthropic: Building Safe AI
By: Shikhar Ghosh and Shweta Bagai
In late 2024, Anthropic, a leading AI safety and research company, achieved a significant breakthrough with computer use capabilities that allowed AI to interact with computers like humans. Co-founded by former OpenAI employees and known for its generative AI... View Details
Keywords: AI and Machine Learning; Corporate Accountability; Corporate Social Responsibility and Impact; Business Growth and Maturation; Corporate Strategy; Technology Industry; United States
Ghosh, Shikhar, and Shweta Bagai. "Anthropic: Building Safe AI." Harvard Business School Case 824-129, April 2024. (Revised December 2024.)
- 28 Mar 2018
- HBS Seminar
Tim O’Reilly, O’Reilly Media
- 24 Jul 2014
- Blog Post
Create a Content Marketing Strategy for your Talent Acquisitions Team
As a talent acquisitions manager or a marketing manager within a human resources team, you’ve probably asked yourself how to reach large quantities of high quality candidates in a thoughtful and meaningful way. You’ve leveraged various... View Details
- 01 Dec 2009
- Working Paper Summaries
Modeling a Paradigm Shift: From Producer Innovation to User and Open Collaborative Innovation
Keywords: by Carliss Y. Baldwin & Eric von Hippel