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What Is Disruptive Innovation
Christensen, Clayton M.; Raynor, Michael E.; McDonald, RoryArtículo HBS-R1512B-EDirección estratégicaFor the past 20 years, the theory of disruptive innovation has been enormously influential in business circles and a powerful tool for predicting which industry entrants will succeed. Unfortunately, the theory has also been widely misunderstood, and the "disruptive" label has been applied too carelessly anytime a market newcomer shakes up well-established incumbents. In this article, the architect of disruption theory, Clayton M. Christensen, and...Desde 8,20 €
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What Is Disruptive Innovation? (Spanish version)
Christensen, Clayton M.; Raynor, Michael E.; McDonald, RoryArtículo HBS-R1512BDirección estratégicaFor the past 20 years, the theory of disruptive innovation has been enormously influential in business circles and a powerful tool for predicting which industry entrants will succeed. Unfortunately, the theory has also been widely misunderstood, and the "disruptive" label has been applied too carelessly anytime a market newcomer shakes up well-established incumbents. In this article, the architect of disruption theory, Clayton M. Christensen, and...Desde 8,20 €
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Left on a Mountainside (HBR Case Study and Commentary)
Kirby, Julia; Eisold, Kenneth; Soder, Dee; Kahn, Jeffrey P.; Elson, Charles M.Artículo HBS-R0401A-ELiderazgo y Dirección de personasEd Davidson is on top of the world, literally and figuratively, at the beginning of this fictional case study. He's in the Swiss Alps, headed for Davos and his first experience as a delegate to the World Economic Forum's annual conference. And he has reason to believe he is about to be made president of his company, Carston Waite--and, therefore, heir apparent to the CEO position. Then his phone rings. It's his mentor, Frank Maugham, the CFO and ...Desde 8,20 €
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Why Hard-Nosed Executives Should Care About Management Theory (Spanish version)
Christensen, Clayton M.; Raynor, Michael E.Artículo HBS-R0309DDirección estratégicagathering data, organizing it into categories, highlighting significant differences, then making generalizations explaining what causes what, under which circumstances. For instance, professor Ananth Raman and his colleagues collected data showing that bar code-scanning systems generated notoriously inaccurate inventory records. These observations led them to classify the types of errors the scanning systems produced and the types of shops in wh...Desde 8,20 €