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Developing Software through Crowdsourcing (Spanish version)
Lakhani, Karim R.; Garvin, David A.; Lonstein, EricCase HBS-610S21StrategyTopCoder's crowdsourcing-based business model, in which software is developed through online tournaments, is presented. The case highlights how TopCoder has created a unique two-sided innovation platform consisting of a global community of over 225,000 developers who compete to write software modules for its over 40 clients. Provides details of a unique innovation platform where complex software is developed through ongoing online competitions. B...Starting at €8.20
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Prediction Markets at Google (Spanish version)
Coles, Peter A.; Lakhani, Karim R.; McAfee, AndrewCase HBS-612S12Information TechnologiesIn its eight quarters of operation, Google's internally developed prediction market has delivered accurate and decisive predictions about future events of interest to the company. Google must now determine how to increase participation in the market, and how to best use its predictions.Starting at €8.20
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Netflix: Designing the Netflix Prize (A) (Spanish version)
Lakhani, Karim R.; Cohen, Wesley M.; Ingram, Kynon; Kothalkar, Tushar; Kuzemchenko, Maxim; Malik, Santosh; Meyn, Cynthia; Friar, Greta; Pokrywa, Stephanie HealyCase HBS-615S16Service and Operations ManagementIn 2006, Reed Hastings, CEO of Netflix, was looking for a way to solve Netflix's customer churn problem. Netflix used Cinematch, its proprietary movie recommendation software, to promote individually determined best-fit movies to customers. Hastings deterStarting at €8.20
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Edgar J. Scherick Associates (Spanish Version)
Wu, George; Wachtell, CynthiaCase HBS-809S03StrategyEdgar Scherick, líder en la producción de películas de televisión, debe determinar si las películas basadas en hechos cosechan más altos grados de Nielsen que las películas de ficción. Scherick tiene datos para todas las 1992 películas de TV emiten en las principales redes. En última instancia, Scherick debe decidir si vale la pena pagar por la opción por los derechos de las películas basadas en hechos.Starting at €8.20
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Decision Analysis (Spanish version)
Wu, GeorgeCase HBS-810S02StrategyDescribes decision analysis, a systemic approach for analyzing decision problems. A running example illustrates problem structuring (decision trees), probability assessment and endpoint evaluation, folding back the tree as a method of analysis, and sensitivity analysis.Starting at €8.20
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Nivea (B) (Spanish version)
Lakhani, Karim R.; Fuller, Johann; Bilgram, Volker; Friar, GretaCase HBS-615S08Service and Operations ManagementEste caso suplementaria da seguimiento a un innovador enfoque de I + D por Beiersdorf, una compañía de cuidado de la piel y cosméticos. El caso se relaciona lo que pasó con el producto lanzado por Beiersdorf, a su línea Nivea, a raíz de los acontecimientos del caso A, y cómo el éxito comercial del producto informó el pensamiento de los líderes en I + D para el futuro.Starting at €5.74
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Tweeter etc. (Spanish version)
Gourville, John T.; Wu, GeorgeCase HBS-502S18MarketingIn the early 1990s, Tweeter etc., a small regional retailer of higher-end audio and video equipment, faced increasing competitive pricing pressures from several large regional and national consumer electronics chains. In response, in 1993, they introduced "Automatic Price Protection" (APP) as the cornerstone of a strategy to restore price credibility in the minds of consumers. Under APP, Tweeter monitored local newspaper ads and automatically mai...Starting at €8.20
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Dave Armstrong (A) (Spanish version)
Wu, GeorgeCase HBS-307S03StrategyA second-year Harvard MBA student considers the pros and cons of three job offers. He identifies several concerns and evaluates each job in terms of how well they meet these concerns. He assesses probabilities for whether the jobs will be successful for him.Starting at €8.20
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Dave Armstrong (B) (Spanish Version)
Wu, GeorgeCase HBS-307S04StrategyComplementa el caso (A).Starting at €5.74
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Using the Crowd as an Innovation Partner
Boudreau, Kevin; Lakhani, Karim R.Article HBS-R1304C-EFrom Apple to Merck to Wikipedia, more and more organizations are turning to crowds for help in solving their most vexing innovation and research questions, but managers remain understandably cautious. It seems risky and even unnatural to push problems out to vast groups of strangers distributed around the world, particularly for companies built on a history of internal innovation. How can intellectual property be protected? How can a crowdsource...Starting at €8.20