The crowdsourcing data for innovation

Does it Matter?

Keywords: creativity, project management, data-driven design, innovation, social media, IT-management


Purpose – to explore a crowdsourcing data-driven approach to construct crowdknowledge databases for innovation through supporting creative idea generation. In the approach, social media will be used as platforms to crowdsource knowledge for producing the databases.

Findings. Creativity is an essential element of innovation, but producing creative ideas is often challenging in design. Many computational tools have become available recently to support designers in producing creative ideas that are new to individuals. As a standard feature, most of the tools rely on the databases employed, such as ConceptNet and the US Patent Database. This study highlighted that the limitations of these databases have constrained the capabilities of the tools and, thereby, new computational databases supporting the generation of new ideas to a crowd or even history are needed. Crowdsourcing outsources tasks conventionally performed in-house to a crowd and uses external knowledge to solve problems and democratize innovation. Social media is often employed in crowdsourcing for a crowd to create and share knowledge.

Originality/value/scientific novelty of the research. This paper proposes a novel approach employing social media to crowdsource knowledge from a crowd for constructing crowd knowledge databases.

Practical importance of the research. The crowd knowledge database is expected to be used by the current computational tools to support designers producing highly creative ideas that are new to the crowd, in new product design, and ultimately to innovation.

Research limitations/Future research. In this study to provide insights and potential directions for future research are discussed that challenges of employing described approach.  

Paper type – theoretical.


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Author Biographies

Zainal Ilmi, Mulawarman Univesity, Indonesia

Senior Lecturer, Dr, Department of Management, Faculty of Economics and Business, Mulawarman Univesity, Indonesia

Adi Wijaya, Mulawarman Univesity, Indonesia

Senior Lecturer, Department of Economics, Faculty of Economics and Business, Mulawarman Univesity, Indonesia


Jati Kasuma, Universiti Teknologi Mara Sarawak, Malaysia

Assoc. Prof., Faculty of Business and Management, Universiti Teknologi Mara Sarawak, Universiti Teknologi Mara Sarawak, Malaysia

Dio Caisar Darma, Sekolah Tinggi Ilmu Ekonomi Samarinda, Indonesia

Researcher, Department of Management, Sekolah Tinggi Ilmu Ekonomi Samarinda, Indonesia



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How to Cite
Ilmi, Z., Wijaya, A., Kasuma, J., & Darma, D. C. (2020). The crowdsourcing data for innovation: Does it Matter?. European Journal of Management Issues, 28(1-2), 3-12.