Cooperation between science and agricultural-food industry on the example of the Innovation Cluster in Agricultural Business

Wyrzykowska, Barbara

doi:10.7172/1644-9584.50.10

Cited by 1 publication

(2 citation statements)

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“…Strategic management Zimmer et al, 2014Castro, 2015Guzmán et al, 2013Arthurs et al, 2009Davis et al, 2009Ji and Gunasekaran, 2014Yannou et al, 2017Pîrnău et al, 2014Schlossstein and Yun, 2008 Evolutionary economics Esmaeilpoorarabi et al, 2018Nemkova, 2017 Behavioral economics Wang et al, 2017Bayne et al, 2016Alventosa et al, 2016O'Dwyer et al, 2015Chiu and Lee, 2012Calamel et al, 2012Letaifa and Rabeau, 2013Liyanage, 1995Smith, 2007Yoon, 2017 Open Innovation Wyrzykowska, 2015Fang, 2012Choi et al, 2013Schindler et al, 2017Foley et al, 2011 Clusters as Innovation Engines 45 innovation clusters, information flows through formal channels (corporate meetings, forums, fairs, conferences, seminars, specialized magazines, etc.) and informal channels (e.g.…”

Section: The Information Strengthmentioning

confidence: 99%

“…Although prior theories help explaining the information strength, little empirical work has been carried out in the context of innovation clusters, as indicated in Table . Behavioral economics (Wang et al ., ) and open innovation (Wyrzykowska, ; Fang, ; Choi et al ., ) has made contributions in this area, but future work may improve our understanding of the information strength.…”

Section: The Five Strengths Frameworkmentioning

confidence: 99%

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Clusters as Innovation Engines: The Accelerating Strengths of Proximity

Ferràs-Hernández

Nylund

2018

European Management Review

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As economic competition is becoming global, innovation clusters emerge as a salient level of competitive analysis. We hence study when and how innovation clusters strengthen innovation at firm level. We review insights in this topic from different theoretical perspectives, for example, neoclassical economics, evolutionary economics, behavioral economics, strategic management and open innovation, in search of a comprehensive theoretical framework that explains the relationship between firm innovation and the concentration of innovative activities in the proximity. We then deduce five strengths which drive technological change in innovation clusters, namely attraction, information, interaction, anticipation, and rivalry. The model has implications for researchers, managers, and policymakers and contributes to our understanding of the acceleration of innovation within clusters.

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