Digital Innovation, Entrepreneurship and New Business Models
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Paper Type
Short
Paper Number
2344
Description
Crowdsourcing is an exemplar of how technology can enhance collaboration and problem-solving. Social innovations are solutions to social problems that are more effective, efficient, sustainable, or just than existing solutions. Crowdsourcing for social innovation (CfSI) platforms are proliferating. In this paper, we frame these platforms as data crowdsourcing projects because contributions contain data about social innovation challenges and solutions. However, CfSI platforms are not necessarily designed with the potential of this data in mind. In turn, this data may be poorly modelled, semi-structured, or unstructured, and therefore the true value of contributions may not be fully realized. We propose a design science research project that investigates the data-based challenges and opportunities of CfSI. Our goal is the development of theory that guides the design of CfSI platforms as data crowdsourcing platforms, enabling effective management and reuse of the valuable data these platforms collect.
Recommended Citation
Murphy, Ryan J. A. and Parsons, Jeffrey, "Where Does the Data Go? Data Modelling and Reuse in Crowdsourcing for Social Innovation" (2020). ICIS 2020 Proceedings. 14.
https://aisel.aisnet.org/icis2020/digital_innovation/digital_innovation/14
Where Does the Data Go? Data Modelling and Reuse in Crowdsourcing for Social Innovation
Crowdsourcing is an exemplar of how technology can enhance collaboration and problem-solving. Social innovations are solutions to social problems that are more effective, efficient, sustainable, or just than existing solutions. Crowdsourcing for social innovation (CfSI) platforms are proliferating. In this paper, we frame these platforms as data crowdsourcing projects because contributions contain data about social innovation challenges and solutions. However, CfSI platforms are not necessarily designed with the potential of this data in mind. In turn, this data may be poorly modelled, semi-structured, or unstructured, and therefore the true value of contributions may not be fully realized. We propose a design science research project that investigates the data-based challenges and opportunities of CfSI. Our goal is the development of theory that guides the design of CfSI platforms as data crowdsourcing platforms, enabling effective management and reuse of the valuable data these platforms collect.
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