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Competing Against Luck - The Story of Innovation and Customer Choice (Hardcover)
Loot Price: R436
Discovery Miles 4 360
You Save: R377
(46%)
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Competing Against Luck - The Story of Innovation and Customer Choice (Hardcover)
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List price R813
Loot Price R436
Discovery Miles 4 360
You Save R377 (46%)
Expected to ship within 12 - 17 working days
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The foremost authority on innovation and growth presents a
path-breaking book every company needs to transform innovation from
a game of chance to one in which they develop products and services
customers not only want to buy, but are willing to pay premium
prices for. How do companies know how to grow? How can they create
products that they are sure customers want to buy? Can innovation
be more than a game of hit and miss? Harvard Business School
professor Clayton Christensen has the answer. A generation ago,
Christensen revolutionized business with his groundbreaking theory
of disruptive innovation. Now, he goes further, offering powerful
new insights. After years of research, Christensen has come to one
critical conclusion: our long held maxim-that understanding the
customer is the crux of innovation-is wrong. Customers don't buy
products or services; they "hire" them to do a job. Understanding
customers does not drive innovation success, he argues.
Understanding customer jobs does. The "Jobs to Be Done" approach
can be seen in some of the world's most respected companies and
fast-growing startups, including Amazon, Intuit, Uber, Airbnb, and
Chobani yogurt, to name just a few. But this book is not about
celebrating these successes-it's about predicting new ones.
Christensen contends that by understanding what causes customers to
"hire" a product or service, any business can improve its
innovation track record, creating products that customers not only
want to hire, but that they'll pay premium prices to bring into
their lives. Jobs theory offers new hope for growth to companies
frustrated by their hit and miss efforts. This book carefully lays
down Christensen's provocative framework, providing a comprehensive
explanation of the theory and why it is predictive, how to use it
in the real world-and, most importantly, how not to squander the
insights it provides.
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