Innovation

A fresh look at patterns and assumptions in the field of entrepreneurship

Has the entrepreneurial journey remained unchanged over the past decades? And if there have been substantive changes, what are they? And what are their implications? These are critical questions that…

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The Lean Startup Method

Lean startup methodology has rapidly become one of the most common and trusted innovation and entrepreneurship methods by corporations, startup accelerators, and policymakers. Unfortunately, it has largely been portrayed as…

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Entrepreneurial Strategies During Institutional Changes

Institutional environments influence the effectiveness of entrepreneurial strategies. How should entrepreneurs adopt different strategies at different stages of an institutional change? We tackle this question by examining China’s transition from…

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Martin Ganco – Work Context & Entrepreneurship

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Alvarez-Garrido and Dushnitsky: Investor complementary assets

Entrepreneurial ventures are a key source of innovation. Nowadays, ventures are backed by a wide array of investors whose complementary asset profiles differ significantly. We therefore assert that entrepreneurial ventures…

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Engineering Serendipity

Managers often try to stimulate innovation by encouraging serendipitous interactions between employees, for example by using office space redesigns, conferences and similar events. Are such interventions effective? This article proposes…

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Pie charts depicting algorithm contributions by researcher birth country, institution country, and institution type

Who Discovered the Algorithms that Underpin Computing in the Modern Enterprise?

Modern enterprises rely on computing power improvements and better algorithms to tackle sophisticated problems and boost productivity. Some high-level algorithms are well known (e.g., Google’s PageRank), but until recently little was known about progress in the fundamental algorithms that underpin much of computing or about their discoverers. Our research finds that U.S. universities and corporations have been the most important contributors to algorithms improvement, potentially providing an important stepping-stone for U.S. enterprises to gain competitive advantage.

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Why Fish Out of Water Are (Sometimes) Great Innovators

by Kurt W. Sandholtz (Brigham Young University) and Walter W. Powell (Stanford University) Ed Catmull knew nothing about Hollywood movie making when he left the New York Institute of Technology…

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Reliance on Science in Patenting – a New Dataset (Open Access)

by Matt Marx and Aaron Fuegi Understanding the scientific heritage of innovation has been an objective of scholars for decades. Where do inventions come from? How is academic research translated into…

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Strategic Responses to Crisis

A Virtual Special Issue edited by Matthias Wenzel, Sarah Stanske, and Marvin Lieberman Currently, the pandemic crisis is affecting the lives of people and organizations around the world. As the…

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