Now showing 1 - 7 of 7
  • Publication
    How to Empower the Workforce – Analyzing Internal Crowd Work as a Neo-Socio-Technical System
    ( 2019-01-08)
    Durward, David
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    Simmert, Benedikt
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    In this paper, we analyze internal crowd work as Neo-STS from an employee’s perspective. Based on qualitative interviews, we describe in our model how employees perceive empowerment through participation in internal crowd work. As our main contribution, we detail and extend existing research regarding internal crowd work, Neo-STS as well as empowerment by identifying structural antecedents that affect psychological empowerment of internal crowd workers.
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  • Publication
    The Rise of Crowd Aggregators - How Individual Workers Restructure Their Own Crowd
    Crowd 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.
  • Publication
    Is There PAPA in Crowd Work? : A Literature Review on Ethical Dimensions in Crowdsourcing
    (IEEE, 2016-07-18)
    Durward, David
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    The phenomenon of crowdsourcing has emerged as a new pattern of digitally mediated collaboration. This novel socio-technical arrangement changes the organization of work as well as its general nature and takes place in information systems (IS) in which humans face many threats to their dignity. For this reason, the importance of ethical issues within this new form of employment arises. Hence, in this paper we focus on the ethical issues in crowd work – a perspective that has been largely neglected by current crowdsourcing research. We analyze recent crowdsourcing literature and extract ethical issues by following the PAPA (privacy, accuracy, property and accessibility of information) concept, a well-established approach in IS. The review focuses on the individual perspective of crowdworkers, which addresses their working conditions and benefits. Although, the literature review exhibits that there are PAPA dimensions in crowdsourcing, only few focus on the crowdworkers as individuals. Our findings contribute to further research in crowdsourcing by introducing an ethical framework and give practical insight into how to design sustainable and ethical crowd work.
    Scopus© Citations 16
  • Publication
    An Empirical Taxonomy of Crowdsourcing Intermediaries
    (Academy of Management, 2016) ;
    Durward, David
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    Zogaj, Shkodran
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    Crowdsourcing has drawn much attention from researchers in the past. Thus, there are already attempts to conceptualize and classify the phenomenon. All of the existing work has their merits; however they lack an overviewing perspective or meta-characteristic. They are conceptual in nature, lack theoretical grounding, and – most importantly – are not empirically validated. Hence, we develop an empirical taxonomy of crowdsourcing intermediaries embedded in the theory of two-sided markets. Collecting data from 100 intermediaries and performing cluster analysis, we identify five archetypes of crowdsourcing intermediaries: Micro-tasking, knowledge work, design competition, testing and validation as well as innovation. The taxonomy establishes a systematic and comprehensive overview of crowdsourcing intermediaries and thereby provides a better understanding of the basic types of crowdsourcing and its core functions. For practice, we provide decision support for crowdsourcers as well as crowdsourcees on which platform to be active on.
  • Publication
    Revealing the Impact of the Crowdsourcing Experience on the Engagement Process
    (Association for Information Systems, 2016-12-11) ; ; ;
    Ågerfalk, Pär J.
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    Levina, Natalia
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    Siew Kien, Sia
    A largely neglected aspect in crowdsourcing research is the “Crowdsourcing Experience”, which every crowdsourcee is necessarily exposed to throughout the IT-mediated crowdsourcing journey, potentially stimulating engagement. In the context of value co-creation participant’s engagement, defined as a psychological state that fosters directly and indirectly related value contributions, is argued to be a holistic measure for crowdsourcing success. Hence, this paper proposes a theoretical framework of the crowdsourcees’ engagement process and a novel approach for assessment. The recommended research design combines case study research with the sequential incident laddering technique to unravel an individual’s Crowdsourcing Experience and its impact on engagement. To the knowledge of the authors, the engagement process was not assessed in the field of crowdsourcing yet and no particular research approach exists. This research in progress offers IS-researchers and practitioners initial insights on IT-enabled engagement processes between individuals and entities to enhance knowledge on mutual value-creation.
  • Publication
    Crowdsourcing in Software Development: A State-of-the-Art Analysis
    As software development cycles become shorter and shorter, while software complexity in-creases and IT budgets stagnate, many companies are looking for new ways of acquiring and sourcing knowledge outside their boundaries. One promising solution to aggregate know-how and manage large distributed teams in software development is crowdsourcing. This paper analyzes the existing body of knowledge regarding crowdsourcing in software development. As a result, we propose a fundamental framework with five dimensions to structure the existing insights of crowdsourcing in the context of software development and to derive a research agenda to guide further research.
  • Publication
    Idea Evaluation Mechanisms for Collective Intelligence in Open Innovation Communities: Do Traders outperform Raters?
    (AIS Association for Information Systems, 2011-12-04) ;
    Riedl, Christoph
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    Krcmar, Helmut
    The increasing popularity of open innovation approaches has led to the rise of various open innovation communities on the Internet which might contain several thousand user-generated ideas. However, a company’s absorptive capacity is limited regarding such an amount of ideas so that there is a strong need for mechanisms supporting the evaluation of these ideas. In this paper, we focus on the evaluation of such mechanisms for collective idea evaluation. Applying a multi-method approach, we compare six different configurations of a prediction market with a multi-criteria rating scale that performed best in previous research. We combine a web-based experiment with 448 participants, data from a participant survey, and an independent expert jury. Based on cognitive load theory, we explain why a multi-criteria rating scale outperforms prediction markets in terms of evaluation accuracy and evaluation satisfaction. This study contributes to theory building in the emerging field of collective intelligence.