Community evaluation of crowd-sourced ideas: An explorative study on how to improve the prediction accuracy of crowdsourcing communities - Softcover
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Community evaluation of crowd-sourced ideas
ISBN 10: 3330509732
ISBN 13: 9783330509733
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Community evaluation of crowd-sourced ideas
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AV Akademikerverlag Mai 2017, 2017
ISBN 10: 3330509732
ISBN 13: 9783330509733
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In 2008, Google initiated an ideation challenge called 'Project 10 to the 100'. They asked quite openly 'What would help most ' and received more than 150,000 ideas from people all over the globe. As Google's 'Project 10 to the 100' and many other real life examples show (e.g. Cisco's 'I-Prize' or Nokia's 'Tune Remake'), the number of submissions to crowdsourcing contests can be stunning. However, the majority of submitted ideas is usually of very low quality. According to the so-called Sturgeon's (1958) law, 90% of everything is crap. Firms are often overloaded by too much 'noise' generated on crowdsourcing platforms. They face the problem of not being able to filter and select the best ideas (or only being able to do so with substantial effort). Recently, scholars have proposed that the integration of crowdsourcing communities into the evaluation process appears to be a very promising method to filter high-quality ideas. In this explorative study, Georg Terlecki-Zaniewicz analyzed eleven crowdsourcing platforms, and concluded with a framework that makes the evaluation of crowd-sourced ideas through community evaluation both more efficient and more accurate. 92 pp. Englisch. Seller Inventory # 9783330509733
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Community evaluation of crowd-sourced ideas
ISBN 10: 3330509732
ISBN 13: 9783330509733
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Community evaluation of crowd-sourced ideas
ISBN 10: 3330509732
ISBN 13: 9783330509733
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Community evaluation of crowd-sourced ideas
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Terlecki-Zaniewicz GeorgGeorg Terlecki-Zaniewicz studied at the Vienna University of Economics and Business. His main research focused on Crowdsourcing and other Open Innovation-related topics. Since 2012, Georg Terlecki-Zaniewicz ha. Seller Inventory # 151238298
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Community evaluation of crowd-sourced ideas
Published by
AV Akademikerverlag Mai 2017, 2017
ISBN 10: 3330509732
ISBN 13: 9783330509733
New
Taschenbuch
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In 2008, Google initiated an ideation challenge called 'Project 10 to the 100'. They asked quite openly 'What would help most ' and received more than 150,000 ideas from people all over the globe. As Google's 'Project 10 to the 100' and many other real life examples show (e.g. Cisco's 'I-Prize' or Nokia's 'Tune Remake'), the number of submissions to crowdsourcing contests can be stunning. However, the majority of submitted ideas is usually of very low quality. According to the so-called Sturgeon's (1958) law, 90% of everything is crap. Firms are often overloaded by too much 'noise' generated on crowdsourcing platforms. They face the problem of not being able to filter and select the best ideas (or only being able to do so with substantial effort). Recently, scholars have proposed that the integration of crowdsourcing communities into the evaluation process appears to be a very promising method to filter high-quality ideas. In this explorative study, Georg Terlecki-Zaniewicz analyzed eleven crowdsourcing platforms, and concluded with a framework that makes the evaluation of crowd-sourced ideas through community evaluation both more efficient and more accurate.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch. Seller Inventory # 9783330509733
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Community evaluation of crowd-sourced ideas : An explorative study on how to improve the prediction accuracy of crowdsourcing communities
Print on DemandSeller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In 2008, Google initiated an ideation challenge called 'Project 10 to the 100'. They asked quite openly 'What would help most ' and received more than 150,000 ideas from people all over the globe. As Google's 'Project 10 to the 100' and many other real life examples show (e.g. Cisco's 'I-Prize' or Nokia's 'Tune Remake'), the number of submissions to crowdsourcing contests can be stunning. However, the majority of submitted ideas is usually of very low quality. According to the so-called Sturgeon's (1958) law, 90% of everything is crap. Firms are often overloaded by too much 'noise' generated on crowdsourcing platforms. They face the problem of not being able to filter and select the best ideas (or only being able to do so with substantial effort). Recently, scholars have proposed that the integration of crowdsourcing communities into the evaluation process appears to be a very promising method to filter high-quality ideas. In this explorative study, Georg Terlecki-Zaniewicz analyzed eleven crowdsourcing platforms, and concluded with a framework that makes the evaluation of crowd-sourced ideas through community evaluation both more efficient and more accurate. Seller Inventory # 9783330509733
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Community evaluation of crowd-sourced ideas | An explorative study on how to improve the prediction accuracy of crowdsourcing communities
Seller: preigu, Osnabrück, Germany
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Taschenbuch. Condition: Neu. Community evaluation of crowd-sourced ideas | An explorative study on how to improve the prediction accuracy of crowdsourcing communities | Georg Terlecki-Zaniewicz | Taschenbuch | 92 S. | Englisch | 2017 | AV Akademikerverlag | EAN 9783330509733 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 109197591