Big data from customers and non-customers through crowdsourcing, citizen science and crowdfunding

Purpose The unprecedented growth in the volume, variety and velocity with which data is generated collected over last decade has led to spread of big phenomenon. Organizations have become increasingly involved collection analysis improve their performance. Whereas focus thus far mainly been on from customers, topic how collect also those who are not yet customers overlooked. A growing means interacting non-customers through crowd-based phenomena, therefore examined this study as a way further data. Therefore, aims demonstrate importance jointly considering these phenomena under proposed framework. Design/methodology/approach This seeks that organizations can crowd such crowdsourcing, citizen science crowdfunding. conceptual conducted produced an integrated framework companies Findings Grounded resource-based view, paper argues constitute valuable resource insofar they be additional source when participating phenomena. Companies can, way, Originality/value advances scientific knowledge by providing overview applied benefit organizations. Moreover, posited endeavour stimulate analyses topics provide initial suggestions leverage