學門類別
政大
哈佛
- General Management
- Marketing
- Entrepreneurship
- International Business
- Accounting
- Finance
- Operations Management
- Strategy
- Human Resource Management
- Social Enterprise
- Business Ethics
- Organizational Behavior
- Information Technology
- Negotiation
- Business & Government Relations
- Service Management
- Sales
- Economics
- Teaching & the Case Method
最新個案
- Leadership Imperatives in an AI World
- Vodafone Idea Merger - Unpacking IS Integration Strategies
- Predicting the Future Impacts of AI: McLuhan’s Tetrad Framework
- Snapchat’s Dilemma: Growth or Financial Sustainability
- V21 Landmarks Pvt. Ltd: Scaling Newer Heights in Real Estate Entrepreneurship
- Did I Just Cross the Line and Harass a Colleague?
- Winsol: An Opportunity For Solar Expansion
- Porsche Drive (B): Vehicle Subscription Strategy
- Porsche Drive (A) and (B): Student Spreadsheet
- TNT Assignment: Financial Ratio Code Cracker
-
Hedrick's Pharmacy
As the head pharmacist and manager of Hedrick's Pharmacy, a family-owned, independent pharmacy in Pennsylvania, Samantha Hedrick had to decide whether to continue to stock a wildly popular supplement, Memoral, a blend of vitamins, minerals, and herbs that "may support memory and cognitive function." Despite its hefty price tag ($75 a month -
Harnessing the wisdom of crowds: Decision spaces for prediction markets
The increased metabolism of business in the modern world has served to heighten both the frequency and the difficulty of organizational decision making. Practitioners and academics are constantly looking for decision-making mechanisms that can be used to address these challenges. One recently emerged mechanism is prediction markets: a group decision-making tool that uses a market mechanism to rapidly aggregate information held by large, diverse groups of participants. Prediction markets have a number of benefits and have been demonstrably successful in a number of contexts; however, it is important to recognize that they are suited to some types of decisions and contexts but not to others. This article examines the benefits of prediction markets and develops a framework that can be used to identify in which situations prediction markets can be profitably deployed within organizations. It also provides a roadmap for practitioners to use to guide their own organizational deployment of prediction markets.