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33 Routes to Open Innovation

Open Innovation EU

It has been a while since Henry Chesbrough coined the term Open Innovation and formulated it’s definition: “combining internal and external ideas as well as internal and external paths to market to advance the development of new technologies.” For instance: Faems (2006) and Rowley, Kupiec-Teahan and Leeman (1983).

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Companies betting big on open innovation

hackerearth

“Open innovation is the use of purposive inflows and outflows of knowledge to accelerate internal innovation, and expand the markets for external use of innovation, respectively. In 2014, Cisco Entrepreneurs in Residence , a startup innovation program, was launched to embrace “openness” and transform the IoT/IoE and Big Data spaces.

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PLAYING IT SAFE IS THE MOST DANGEROUS THING YOU CAN DO

Innovation 360 Group

One , these companies operated in highly regulated markets. At the same time, big box retailers started selling CDs at massive discounts to hold onto customers that were disappearing into ecommerce. In 2006, the massive Tower fell, going from profitability to bankruptcy in a few years.

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“Competitive Intelligence” Shouldn’t Just Be About Your Competitors

Harvard Business Review

For the next year, Jessica Eliasi, then the director of Competitive Intelligence at Mars Chocolate, travelled the world running “competitive simulation” games with local market teams from Russia to Mexico to Turkey to England. She then fed the results as market intelligence input into a senior leadership competitive game.

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Turning Consumers into Customers

Harvard Business Review

It helps to revisit these elementary lessons because we've been ignoring them on the Web — at the cost of billions of dollars in lost opportunities for businesses other than those driven by advertising and "big data" farming. Personal data stores (PDSes), also known as "lockers" and "vaults" (e.g. This causes two problems.

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Use Data to Fix the Small Business Lending Gap

Harvard Business Review

With larger volumes of data being used to analyze everything from the genome to traffic patterns and lunch choices, it is natural to ask whether big data can crack the code on small business credit risk. It is early days in the use of predictive modeling to reduce risk and create new markets for small business loans.

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Why Websites Still Can’t Predict Exactly What You Want

Harvard Business Review

Data scientists, supported by the stunning growth in the gathering and processing of so-called big data, can extract patterns from massive stores of browsing and sales data in order to predict our likes and dislikes and tailor marketing experiences to us. Big data flexed its muscles.