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Show Results For
- All HBS Web
(3,571)
- People (2)
- News (631)
- Research (2,421)
- Events (33)
- Multimedia (11)
- Faculty Publications (1,203)
- August 2019
- Case
Bark Gift Shop Ltd.
By: Susanna Gallani, Jan Bouwens and Peter Kroos
This case describes a setting in which the CFO of Bark Gift Shop Ltd., a gift items retailer, discovers an undesired pattern in the performance data suggesting that her shop managers that perform well during the first part of the year, purposely reduce their effort in... View Details
Keywords: Data Analytics; Employees; Behavior; Performance; Management; Goals and Objectives; Motivation and Incentives; Analysis
Gallani, Susanna, Jan Bouwens, and Peter Kroos. "Bark Gift Shop Ltd." Harvard Business School Case 120-008, August 2019.
- 10 Aug 2009
- Research & Ideas
High Commitment, High Performance Management
high commitment, high performance company. Martha Lagace: What differentiates HCHP firms and their leaders? Michael Beer: The leaders manage with a multiple stakeholder perspective. Contrary to many CEOs, HCHP leaders—with support from... View Details
Keywords: by Martha Lagace
- May 1986
- Case
Data Administration in Citibank Brazil (E): Assessing the Implementation Strategy
By: Shoshana Zuboff
Zuboff, Shoshana. "Data Administration in Citibank Brazil (E): Assessing the Implementation Strategy." Harvard Business School Case 486-113, May 1986.
How Google Sold Its Engineers on Management
High-performing knowledge workers often question whether managers actually contribute much, especially in a technical environment. Until recently, that was the case at Google, a company filled with self-starters who viewed management as more destructive than beneficial... View Details
- Article
Algorithms Need Managers, Too
By: Michael Luca, Jon Kleinberg and Sendhil Mullainathan
Algorithms are powerful predictive tools, but they can run amok when not applied properly. Consider what often happens with social media sites. Today many use algorithms to decide which ads and links to show users. But when these algorithms focus too narrowly on... View Details
Keywords: Machine Learning; Algorithms; Predictive Analytics; Management; Big Data; Analytics and Data Science
Luca, Michael, Jon Kleinberg, and Sendhil Mullainathan. "Algorithms Need Managers, Too." Harvard Business Review 94, nos. 1/2 (January–February 2016): 96–101.
- 26 Jan 2024
- Blog Post
Access real-world employment data from HBS alumni with the Career Trends tool
post-grad compensation and job responsibility levels over time. Default filters include industry and function, but you can customize your data by changing these or adding a different filter. Options include location, responsibility level,... View Details
- January 2014 (Revised January 2017)
- Case
Nivea (A)
By: Karim R. Lakhani, Johann Fuller, Volker Bilgram and Greta Friar
The case describes the efforts of Beiersdorf, a worldwide leader in the cosmetics and skin care industries, to generate and commercialize new R&D through open innovation using external crowds and "netnographic" analysis. Beiersdorf, best known for its consumer brand... View Details
Keywords: Innovation; Innovation Management; Crowdsourcing; Big Data; Innovation Strategy; Innovation and Management; Knowledge Management; Knowledge Sharing; Research and Development; Social and Collaborative Networks; Collaborative Innovation and Invention; Analytics and Data Science; Beauty and Cosmetics Industry; Consumer Products Industry
Lakhani, Karim R., Johann Fuller, Volker Bilgram, and Greta Friar. "Nivea (A)." Harvard Business School Case 614-042, January 2014. (Revised January 2017.)
- May–June 2015
- Article
Big Data: Big Deal or Big Hype?
By: Sunil Gupta
Google Flu Trends article of November 2008 heralded a new age for big data where it is possible to leverage the vast amount of data to speak for itself, without theory or expert knowledge of the subject matter. However, in a short span the pendulum swung from big data... View Details
Gupta, Sunil. "Big Data: Big Deal or Big Hype?" European Business Review (May–June 2015).
- Article
Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications
By: Daniel Elsner, Pouya Aleatrati Khosroshahi, Alan MacCormack and Robert Lagerström
Existing application performance management (APM) solutions lack robust anomaly detection capabilities and root cause analysis techniques that do not require manual efforts and domain knowledge. In this paper, we develop a density-based unsupervised machine learning... View Details
Keywords: Big Data; Data Science And Analytics Management; Governance And Compliance; Organizational Systems And Technology; Anomaly Detection; Application Performance Management; Machine Learning; Enterprise Architecture; Analytics and Data Science
Elsner, Daniel, Pouya Aleatrati Khosroshahi, Alan MacCormack, and Robert Lagerström. "Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications." Proceedings of the Hawaii International Conference on System Sciences 52nd (2019): 5827–5836.
- Fall 2012
- Article
How 'Big Data' Is Different
Many people today in the information technology world and in corporate boardrooms are talking about "big data." Many believe that, for companies that get it right, big data will be able to unleash new organizational capabilities and value. But what does the term "big... View Details
Keywords: Big Data; Analytics; Mathematical Methods; Information Management; Information Technology Industry
Davenport, Thomas H., Paul Barth, and Randy Bean. "How 'Big Data' Is Different." MIT Sloan Management Review 54, no. 1 (Fall 2012).
- 16 Mar 2021
- News
The Management Case for Inclusionary Corporate Purpose
- 01 Apr 2002
- News
Professorship Brings Brierley's HBS Connection Full Circle
Harold M. Brierley (MBA '68), chairman and CEO of Brierley & Partners, describes himself as "an accidental entrepreneur," having entered HBS as a chemical engineer planning to pursue a management career in the oil industry. "HBS... View Details
- Fast Answer
Sustainability in Waste Management
management. What a Waste 2.0: A Global Snapshot of Solid Waste Management to 2050 This report aggregates solid waste data at the national and urban level and predicts waste generation to 2030 and... View Details
- Teaching Interest
Empirical Technology and Operations Management Course
I taught a set of lectures on "Introduction to Machine Learning for Social Scientists" as part of this required course for first year PhD students. This module familiarizes students with all the basic concepts in machine learning, their implementations, as well as the... View Details
- 26 Mar 2006
- Research & Ideas
The Office of Strategy Management
surrounding the success that organizations have in executing strategy is low. Our article, "The Office of Strategy Management," using data from a Bain Consulting study, notes that seven out of eight companies in a global sample... View Details
Keywords: by Martha Lagace
- January 2021
- Exercise
E-Commerce Analytics for CPG Firms (B): Optimizing Assortment for a New Retailer
By: Ayelet Israeli and Fedor (Ted) Lisitsyn
The E-Commerce Analytics group at the traditional CPG firm was in charge of compiling various online sales reports, as well as making data-driven recommendations for sales and marketing tactics. In a series of exercises, students address different data challenges for... View Details
Keywords: Data Analysis; Data Analytics; CPG; Consumer Packaged Goods (CPG); Online Channel; Retail Analytics; Retail; Retailing Industry; Data; Data Sharing; Ecommerce; CRM; Loyalty Management; Assortment Planning; Assortment Optimization; Lifetime Value (LTV); Analytics and Data Science; Analysis; Retention; E-commerce; Retail Industry; Consumer Products Industry; United States
Israeli, Ayelet, and Fedor (Ted) Lisitsyn. "E-Commerce Analytics for CPG Firms (B): Optimizing Assortment for a New Retailer." Harvard Business School Exercise 521-079, January 2021.
- July 1991
- Case
Managing the U.S. Dollar in the 1980s
By: W. Carl Kester and Richard P. Melnick
Provides numerical data and alternative explanations concerning the U.S. dollar's rise and subsequent fall in value from 1981 through 1987. Students are challenged to study the evidence and make their own inferences concerning the dollar's movements and the degree of... View Details
Kester, W. Carl, and Richard P. Melnick. "Managing the U.S. Dollar in the 1980s." Harvard Business School Case 292-001, July 1991.
- Web
IT Strategy: Protecting HBS Information and Data Assets | Information Technology
IT Strategy: Protecting HBS Information and Data Assets Strategic Priority: 4. Protect HBS Information & Technology Assets By Annie Harrison on December 4, 2024 Share via Facebook Share via LinkedIn Print Share via email The Opportunity A... View Details
- August 2024
- Case
The Walt Disney Company: Management Guidance
By: Joseph Pacelli and James Weber
In November 2023, financial analyst Aurora Fee was forecasting The Walt Disney Company’s earnings and stock price, with the goal of providing an investment recommendation to her clients. Disney, one of the world’s largest media and entertainment companies, had just... View Details
- June 1995 (Revised August 1995)
- Background Note
Managing IT in the 1990s: Communications Technology
By: Lynda M. Applegate and Geoffrey Bock
Provides an overview of the basic technologies that comprise the communications infrastructure of a firm. Network architecture, wide area networks, local area networks, communication media, network protocols, and basic principles of data transmission over networks are... View Details
Applegate, Lynda M., and Geoffrey Bock. "Managing IT in the 1990s: Communications Technology." Harvard Business School Background Note 195-270, June 1995. (Revised August 1995.)