Adapting crowdsourcing in innovation management
Ari Sivula, Jussi Kantola
Abstract
Ari Sivula, Jussi Kantola
Abstract
Innovation is one of the most important economic drivers in modern businesses. A market pull innovation lowers the launching costs of new products and services. Crowdsourcing imports external and internal knowledge to an organisation's innovation management more extensively. This multi-case study focuses on and analyses the utilisation of crowdsourcing in innovation management. This research utilises the four phase innovation management model: search, select, implement, and capture. This study contributes to understanding the crowdsourcing types which are utilised in innovation management. Its second contribution is the correlation analysis between crowdsourcing types in innovation management phases. Crowdsourcing utilisation in innovation management can support the production of innovations.
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Innovation is one of the most important economic drivers in modern businesses. A market pull innovation lowers the launching costs of new products and services. Crowdsourcing imports external and internal knowledge to an organisation's innovation management more extensively. This multi-case study focuses on and analyses the utilisation of crowdsourcing in innovation management. This research utilises the four phase innovation management model: search, select, implement, and capture. This study contributes to understanding the crowdsourcing types which are utilised in innovation management. Its second contribution is the correlation analysis between crowdsourcing types in innovation management phases. Crowdsourcing utilisation in innovation management can support the production of innovations.
Key concepts: Crowdsourcing, Innovation management, Business, Knowledge management, Open innovation, Marketing, Computer science, World Wide Web