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- A practical guide to SEC ï¬nancial reporting and disclosures for successful regulatory crowdfunding
- Quality shareholders versus transient investors: The alarming case of product recalls
- The Health Equity Accelerator at Boston Medical Center
- Monosha Biotech: Growth Challenges of a Social Enterprise Brand
- Assessing the Value of Unifying and De-duplicating Customer Data, Spreadsheet Supplement
- Building an AI First Snack Company: A Hands-on Generative AI Exercise, Data Supplement
- Building an AI First Snack Company: A Hands-on Generative AI Exercise
- Board Director Dilemmas: The Tradeoffs of Board Selection
- Barbie: Reviving a Cultural Icon at Mattel (Abridged)
- Happiness Capital: A Hundred-Year-Old Family Business's Quest to Create Happiness
The High-Emotion Index: Stock Market Gains from Emotion
內容大綱
Built to Love: Creating Products That Captivate Customers is a 10-chapter book published in 2010 by Berrett-Koehler Publishers, Inc. and written by Peter Boatwright, Associate Professor of Marketing at the Tepper School of Business, and Jonathan Cagan, the George Tallman and Florence Barrett Ladd Professor in the Department of Mechanical Engineering at Carnegie Mellon University. The authors explain how and why evoking an emotional connection with the customer enables certain products to enjoy market success. They explore key concepts around high-emotion products and present research that proves the value of emotion in product success. Drawing on numerous real-world examples, including an extended case study of Navistar, they outline a model for creating high-emotion products in three phases: identify emotional opportunity, develop a product strategy, and transfer strategy into product features. They provide practical guidance and insight for managers. In Chapter 3, The High-Emotion Index: Stock Market Gains from Emotion (11 pages), the authors present their research on the profitability of product emotions. They describe the methodology used to determine if the financial gain from product emotion mitigates the costs of creating that emotion. Extending their model from individual products to the market capitalization of companies, they explain that higher-emotion stocks will outperform lower-emotion stocks, and they provide insight on what this means for managers.