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Key Crowdsourcing Technologies for Product Design and Development

Xiaojing Niu, Sheng-feng Qin, John Vines, Rose Wong, Hui Lu

    Research output: Contribution to journal › Article › peer-review

    38 Citations (Scopus)
    82 Downloads (Pure)

    Abstract

    Traditionally, small and medium enterprises (SMEs) in manufacturing rely heavily on a skilled, technical and professional workforce to increase productivity and remain globally competitive. Crowdsourcing offers an opportunity for SMEs to get access to on-line communities who may provide requested services such as generating design ideas or problem solutions. However, there are some barriers preventing them from adopting crowdsourcing into their product design and development (PDD) practice. In this paper, we provide a literature review of key crowdsourcing technologies including crowdsourcing platforms and tools, crowdsourcing frameworks, and techniques in terms of open call generation, rewarding, crowd qualification for working, organization structure of crowds, solution evaluation, workflow and quality control and indicate the challenges of integrating crowdsourcing with a PDD process. We also explore the necessary techniques and tools to support the crowdsourcing PDD process. Finally, we propose some key guidelines for coping with the aforementioned challenges in the crowdsourcing PDD process.
    Original languageEnglish
    Pages (from-to)1-15
    Number of pages15
    JournalInternational Journal of Automation and Computing
    Volume16
    Early online date27 Sept 2018
    DOIs
    Publication statusE-pub ahead of print - 27 Sept 2018

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 9 - Industry, Innovation, and Infrastructure
      SDG 9 Industry, Innovation, and Infrastructure

    Keywords

    • Crowdsourcing technologies
    • product design and development (PDD),
    • communication
    • information sharing,
    • design evaluation
    • feedback

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