Crowd Science

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    Managing Complex Work Systems via Crowdworking Platforms: The Case of Hamburger Hochbahn and Phantominds
    ( 2018-01-03) Mrass, Volkmar ; Peters, Christoph ; Leimeister, Jan Marco
    In the last decade, crowdsourcing has emerged as a new form of work organization. Crowdworking platforms as intermediaries between crowdsourcing companies and crowd workers have gained importance in this process. Currently, many of these platforms manage rather simple work systems. Using the case of the German Hamburger Hochbahn AG and the innovation platform Phantominds, this paper investigates measures necessary for crowdworking platforms to be able to manage also more complex work systems. To derive such measures, we analyze the work system of Hamburger Hochbahn and Phantominds, explore the interplay between the crowd and the platform provider and subsequently provide recommendations for companies that would like to use crowdworking platforms for the processing of work and for platform operators. With this paper, we extend current knowledge in the realms of IS, organizational theory, and platform ecosystems.
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    Given Enough Eyeballs, all Bugs are Shallow - A Literature Review for the Use of Crowdsourcing in Software Testing
    ( 2018-01-03) Leicht, Niklas
    Over the last years, the use of crowdsourcing has gained a lot of attention in the domain of software engineering. One key aspect of software development is the testing of software. Literature suggests that crowdsourced software testing (CST) is a reliable and feasible tool for manifold kinds of testing. Research in CST made great strides; however, it is mostly unstructured and not linked to traditional software testing practice and terminology. By conducting a literature review of traditional and crowdsourced software testing literature, this paper delivers two major contributions. First, it synthesizes the fields of crowdsourcing research and traditional software testing. Second, the paper gives a comprehensive overview over findings in CST-research and provides a classification into different software testing types.
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    "Deliberated Intuition for Groups": An Explanatory Model for Crowd Predictions in the Domain of Stock-Price Forecasting
    ( 2018-01-03) Endress, Tobias ; Gear, Tony
    Crowd predictions in the domain of stock-price forecasting is a fascinating concept. Several special-interest online communities were founded following this idea. However, there is a limited body of literature about the domain of stock-price predictions based on such a crowdsourced approach. This paper presents an empirical study in the form of a two-phase, sequential mixed-methods experiment. Data from purposefully designed groups, consisting of lay people and professional financial analysts, were examined to inform the understanding of the prediction process. The findings led to an explanatory model, which we introduce as -˜deliberated intuition for groups’. The model of deliberated intuition for groups, which is proposed here, views prediction as a process of practice which will be different for each individual and group. The model proposes that a predictor will decide, consciously or semi-consciously, either to rely on gut-feeling or to undertake more analysis.
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    Introduction to the Minitrack on Crowd Science
    ( 2018-01-03) Prpic, John ; Kietzmann, Jan