Options
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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PublicationHow to Systematically Conduct Crowdsourced Software Testing? Insights from an Action Research ProjectNowadays, traditional testing approaches become less feasible – both economically and practicably - for several reasons, such as an increasingly dynamic environment, shorter product lifecycles, cost pressure, as well as a fast growing and increasingly segmented hardware market. With the surge towards new modes of value creation, crowdsourced software testing (CST) seems to be a promising solution to effectively solve these problems and was already applied in various software testing contexts. However, literature so far mostly neglected the perspective of an organization intending to crowdsource tasks. In this study, we present an ongoing action research project with a consortium of six companies and present a preliminary model for crowdsourced software testing in organizations. The model unfolds necessary activities, process changes, and the accompanied roles for crowdsourced software testing to enable organizations to systematically conduct such initiatives and illustrates how test departments can use crowdsourcing as a new tool in their department.Type: conference paper
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PublicationHow Many Peer Assessors are Required for Assessment on Another Peer’s Work?( 2016)
;Lehmann, KatjaType: conference paper -
PublicationPromoting the Quality of User Generated Ideas in Online Innovation Communities: A Knowledge Collaboration Perspective(Association for Information Systems, 2016-12-11)
;Ye, Jonathan ;Breschneider, Ulrich ;Goswami, SuparnaKrcmar, HelmutEnabled by Internet-based technologies, users are increasingly participating and collaborating in idea generation in online innovation communities. However, with the limited understanding of the phenomenon, few studies have investigated what determines the quality of ideas. This study aims at addressing the knowledge gap. We find that idea experimentation effort, i.e., the effort associated with creating the idea, and idea review, i.e., comments by other users, influence idea quality. Further, idea recombination, i.e. peer users participating in wiki-based edits, have a positive influence on idea Quality, in case idea experimentation effort was low, and a negative influence in case of high idea experimentation effort. These results contribute to idea generation, knowledge collaboration, and user generated content literature by investigating the mechanisms through which collaboration influences the quality of the collaborative outcome (i.e., idea quality) in online contexts for the first time. Advice for organizations running online innovation communities is provided.Type: conference paper -
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
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PublicationWhat Do We Know About Task Characteristics of Crowdsourcing?(Universitätsverlag Ilmenau, 2018)
;Nissen, Volker ;Stelzer, Dirk ;Straßburger, SteffenFischer, DanielDigitalization and the Internet changed our life. Many phenomena are responsible for this change. A relatively new one is crowdsourcing. Companies such as Amazon or Procter and Gambles use crowdsourcing successfully. The change will continue and we need to fully understand this subject to use the potential offered by this new phenomenon. This literature review summarizes and structures the crowdsourcing literature with focusing on the crowdsourcability of tasks. We analyzed the outsourcing literature to build a framework and adopted 7 perspectives, which were used to describe the outsourcability of tasks. The framework helps us to structure and analyze the crowdsourcing literature with focusing on the crowdsourcability of tasks. We found relevant literature regarding every perspective, but great research gaps were shown concerning these perspectives, leading to the assumption that the task characteristics of crowdsourcing are not sufficiently explored by the state-of-the-art literature. More research is needed to fully understand and use the potential of crowdsourcing. -
PublicationThe Rise of Crowd Aggregators - How Individual Workers Restructure Their Own Crowd( 2017-02-12)
;Durward, DavidCrowd work has emerged as a new form of digital gainful employment whose nature is still a black box. In this paper, we focus on the crowd workers – a perspective that has been largely neglected by research. We report results from crowd worker interviews on two different platforms. Our findings illustrate that crowd aggregators as new players restructure the nature of crowd work sustainably with different effects on the behavior as well as the existing relationships of crowd workers. We contribute to prior research by developing a theoretical framework based on value chain and work aggregation theories which are applicable in this new form of digital labor. For practice, our results provide initial insights that need to be taken into account as part of the ongoing discussion on fair and decent conditions in crowd work.Type: conference paper -
PublicationType: newspaper articleJournal: Swiss IT Magazine
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PublicationDeconstructing the Sharing Economy: On the relevance for IS research(Universitätsverlag Ilmenau, 2016-03-09)
;Knote, Robin ;Nissen, Volker ;Stelzer, Dirk ;Straßburger, SteffenFischer, DanielIn the past few years, Sharing Economy (SE) has become increasingly popular mainly for consumer research. Past research focused on describing the phenomenon itself and its disrupting influences on current economic mechanisms. However, information systems (IS) research and scientific literature in general still lack a common understanding of SE and its underlying mechanisms. We therefore elaborate on this gap by conducting a literature review among contributions within IS scholarship that address SE in order to identify to what extent past IS research has covered the topic yet. We aimed to highlight interrelations to adjacent topics and illustrate potential research gaps. As a result, we identified the four perspectives on how the topic is addressed, namely business model, sharing service, sharing asset and exogenous influences. Furthermore, we identified the four principles of SE, which are multi-sided markets, crowdsourcing, trust and recommendation and consumption-based pricing. With this contribution, we aim to guide further investigation of the topic. Additionally, we aim to highlight potential research gaps, as we claim SE to become much more relevant for IS in near future.Type: conference paperVolume: Bd. 1 -
PublicationTowards Successful Crowdsourcing Projects: Evaluating the Implementation of Governance Mechanisms(Association for Information Systems, 2015-12-13)
;Zogaj, ShkodranBretschneider, UlrichThe last decade has witnessed the proliferation of crowdsourcing in various academic domains including strategic management, computer science, or IS research. Numerous companies have drawn on this concept and leveraged the wisdom of crowds for various purposes. However, not all crowdsourcing projects turn out to be a striking success. Hence, research and practice are on the lookout for the main factors influencing the success of crowdsourcing projects. In this context, proper governance is considered as the key to success by several researchers. However, little is known about governance mechanisms and their impact on project outcomes. We address this issue by means of a multiple case analysis in the scope of which we examine crowdsourcing projects on collaboration-based and/or competition-based crowdsourcing systems. Our initial study reveals that task definition mechanisms and quality assurance mechanisms have the highest impact on the success of crowdsourcing projects, whereas task allocation mechanisms are less decisive.Type: conference paper