Filter Results:
(47)
Show Results For
- All HBS Web
(545)
- Faculty Publications (47)
Show Results For
- All HBS Web
(545)
- Faculty Publications (47)
←
Page 3 of 47
Results
- August 1998 (Revised October 1998)
- Background Note
Note on Lead User Research
By: Stefan H. Thomke and Ashok Nimgade
Describes the Lead User concept and method (step-by-step) with brief examples from industrial practice. View Details
Thomke, Stefan H., and Ashok Nimgade. "Note on Lead User Research." Harvard Business School Background Note 699-014, August 1998. (Revised October 1998.)
- January 1995
- Case
Understanding User Needs
By: Marco Iansiti and Ellen Stein
Presents an introduction to methods for understanding user needs in product development. Describes a number of techniques including the use of focus groups, interviews, questionnaires, the Kano method, Lead User analysis, the Product Value matrix, OFD, etc. Provides a... View Details
Keywords: Customer Satisfaction; Customer Value and Value Chain; Product Development; Mathematical Methods
Iansiti, Marco, and Ellen Stein. "Understanding User Needs." Harvard Business School Case 695-051, January 1995.
- Research Summary
Design Driven Innovation
By: Roberto Verganti
Firms, managers and scholars have often balanced between two approaches to innovation: user centered (where incremental innovation is pulled by the market) and technology push (where innovation comes from breakthrough development in technologies). However there is a... View Details
- Forthcoming
- Article
Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation
By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Forecasting and Prediction; Digital Marketing
Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation." Management Science (forthcoming).
- Research Summary
Managing Networked Businesses
Platform-based businesses that leverage network effects face a distinctive set of management challenges. A platform encompasses components and rules that facilitate interactions between the platform's users. A platform-based product or service exhibits a network... View Details
- Research Summary
Overview
Professor Ferreira's research primarily focuses on how retailers can use algorithms to make better revenue management decisions, including pricing, product display, and assortment planning. In the retail industry, anticipating consumer demand is arguably one of the... View Details
- Research Summary
Research Summary
By: Leslie A. Perlow
There has been tremendous change in the workplace — ubiquitous technology, 24/7 globalization, hyper-efficiency and now significant changes in work location. Professor Perlow’s research explores the implications for the ways we work and live, and what we can do to... View Details