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CC Crowdsourcing
Type
applied research project
Start Date
01 January 2013
End Date
21 November 2019
Status
ongoing
Keywords
Crowdsourcing
Crowdfunding
Open Innovation
Software-Entwicklung
Description
Crowdsourcing erlaubt es Unternehmen, auf das Wissen, die Kreativität und die Arbeitskraft einer grossen Masse von Internetnutzern zugreifen zu können. Bereits heute setzen viele führende Unternehmen auf die Crowd, um Effizienz und Effektivität ihrer IT-Entwicklungs- und Innovationsprozesse zu steigern. Das Competence Center Crowdsourcing der Universität St. Gallen bündelt die Expertise mehrerer öffentlich und industriefinanzierter Forschungsprojekte aus den Bereichen Crowdsourcing, Crowdfunding und Open Innovation. Im Fokus stehen die Potenziale dieser Ansätze für Unternehmen und IT-Organisationen entlang der kompletten Wertschöpfungskette. Gemeinsam mit Partnern aus Wissenschaft und Praxis werden tragfähige Lösungen, Geschäftsmodelle, IT-Systeme, Methoden und Modelle zur Unterstützung der betrieblichen Wertschöpfung, der Innovations- und Software-Entwicklung sowie der Arbeitsorganisation entwickelt.
Leader contributor(s)
Member contributor(s)
Funder(s)
Topic(s)
Crowdsourcing in der IT-Entwicklung
speziell im Software-Testing
Crowdfunding
Open Innovation in Unternehmen
Method(s)
Case Study
Design Science
Action Research
Range
Institute/School
Range (De)
Institut/School
Division(s)
Eprints ID
237091
62 results
Now showing
1 - 10 of 62
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PublicationPrincipal Forms of Crowdsourcing and Crowd Work(FEPS - Foundation for European Progressive Studies, 2016)
;Durward, David ;Wobbe, Werner ;Bova, ElvaDragomirescu-Gaina, CatalinIn recent years, companies have been getting access to larger pools of workers, and the phenomenon of crowdsourcing has emerged as a new pattern of digitally mediated collaboration. In parallel, an ongoing digitalisation has been accelerating the division of labour through hyperspecialisation and giving rise to new forms of work, for example crowd work. This paper illustrates the differences between crowdsourcing as an alternative concept of organizing, and crowd work as a new form of digital gainful work. The variety of crowdsourcing applications on the one hand, and the different forms of crowd work on the other, will be introduced. In summary, more and more individuals decide to work online in the crowd, and those crowds consist of people of any social strata, age or location. Hence, with the rise of crowd work, several opportunities and risks for all of these participants can be observed and need to be addressed.Type: book section -
PublicationBlueprinting Crowdfunding - Designing a Crowdfunding Service Configuration Framework( 2017-02-12)Crowdfunding gained momentum over the last few years. In contrast to traditional forms of funding, the service provision of crowdfunding platforms is performed within service systems. These comprise a complex combination of IT and non-IT services, different stakeholders, and diverging contexts and purposes. The design and operation of such service systems represents a tough challenge. Therefore, we developed a crowdfunding service configuration framework in the form of a morphological box and derived three dominant design patterns by following a design science approach. Therefore, we followed three iterations, which comprise in total twelve expert interviews, three case studies and the analysis of 161 crowdfunding platforms. The configuration framework extends research on crowdfunding and service science by providing insights in how to support the systematic design of crowdfunding service systems, reducing their complexity, and giving a comprehensive overview over their building blocks.Type: conference paper
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PublicationCrowdsourcing – Chancen für den Mittelstand. Kollektive Intelligenz in F&E-Prozesse integrieren(AWS-Institut für digitale Produkte und Prozesse gGmbH, 2016)Rhyn, MarcelType: newspaper articleJournal: IM + io : das Magazin für Innovation, Organisation und ManagementVolume: 31Issue: 1
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PublicationA Mixed Method Approach to Understanding Crowdsourcees’ Engagement Behavior( 2017-12-10)
;Naef, SvenWith an increasing amount of arising crowdsourcing initiatives, insights are needed on how to successfully drive initial and sustained platform-activity, as a form of value co-creation between crowdsourcer and crowdsourcees. Therefore, the engagement concept, known as a micro-foundation of value co-creation, serves to holistically understand crowdsourcees’ psychological and behavioral responses along the IT-mediated crowdsourcing journey. Due to the multidimensionality of the concept, a mixed method approach is proposed for exploring qualitatively and quantitatively stimuli’s effect on psychological states and engagement behaviors. Therefore, two measuring approaches, the Sequential Incident Laddering Technique and a Panel Poisson Model, are presented. Preliminary findings suggest that, next to other factors, crowdsourcer-interaction and high-effort tasks serve as dominant drivers, fostering psychological engagement beyond the interaction process, while crowd-interaction rather drives within-process engagement behavior. This research in progress provides IS-researchers and practitioners initial insights into IT-enabled value co-creation processes.Type: conference paper -
PublicationType: newspaper articleVolume: Portfolio-Management im Service
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PublicationCrowdfunding 2020: Komplement oder Substitut für die Finanzindustrie(Books on Demand;, 2015-01-21)
;Sieber, Eva ;Schulz, Moritz ;Wenzlaff, KarstenGebert, Michael -
PublicationService Innovation through Application Programming Interfaces - Towards a Typology of Service Designs( 2017-12-10)In recent years, many firms have published public Application Programing Interfaces (APIs). However, firms struggle with how to successfully implement API-enabled service innovation. APIs are either boundary resources through which platform strategies are enacted or they represent distribution channels for software, data, or infrastructure. We use a service innovation framework to integrate ten elements that determine business-oriented API design and that were discussed by prior API research. We report the preliminary results of a cluster analysis of 96 randomly sampled and qualitatively coded APIs. We identify three archetypes of API-enabled service innovation that are characterized by distinct configurations of API elements. We use a measure of API popularity to find structural differences of the archetypes' market impact. With our planned research addressing the interplay of API design, ecosystem-based value creation strategies and API performance, we intend to contribute to theory that explains the impact of API design on digital innovation.Type: conference paper
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PublicationType: conference paper
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PublicationThe Effects of Prediction Market Design and Price Elasticity on Trading Performance of Users : An Experimental Analysis(Cornell University Library, 2012-04-18)
;Riedl, Christoph ;Köroglu, OrhanKrcmar, HelmutWe employ a 2x3 factorial experiment to study two central factors in the design of prediction markets (PMs) for idea evaluation: the overall design of the PM, and the elasticity of market prices set by a market maker. The results show that 'multi-market designs' on which each contract is traded on a separate PM lead to significantly higher trading performance than 'single-markets' that handle all contracts one on PM. Price elasticity has no direct effect on trading performance, but a significant interaction effect with market design implies that the performance difference between the market designs is highest in settings of moderate price elasticity. We contribute to the emerging research stream of PM design through an unprecedented experiment which compares current market designs.Type: conference paperVolume: Paper 77 -
PublicationCrowdsourcing: How to Benefit from (Too) Many Great IdeasThis article focuses on how companies can cope with the enormous volume and variety of data (big data) that is acquired on crowdsourcing platforms from the worldwide community of Internet users. We identify the challenges of implementing crowdsourcing platforms and show how CIOs and other organizational leaders can build the absorptive capacity necessary to extract business value from crowdsourced data.Type: journal articleJournal: MIS Quarterly ExecutiveVolume: 12Issue: 4