Abstract
In order to track the evolution of the multidisciplinary research area that is crowdsourcing, a bibliometric analysis is conducted to assess the rate of publications. The aim is to provide valuable information about changes in the trends within the area. Crowdsourcing literature was classified into 50 research areas with an emphasis in research in computer science and business economics. Findings suggest that the number of publications in this field have substantially increased over the last four years (2013-2017), compared to the time period 2006 – 2012. The distribution of publications between countries is skewed, with the USA and China conducting 60% of the research. Data analysis shows that the literature trends towards new models including spatial crowdsourcing and crowd sensing, and an increase in mobile crowdsourcing applications is observed. Our study provides a series of indicators to map the development of crowdsourcing research.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 18th International CINet Conference |
| Subtitle of host publication | Digitalization and Innovation: Designing the Organization of the Future |
| Publisher | Continuous Innovations Network |
| ISBN (Print) | 978-90-77360-20-0 |
| Publication status | Published - 12 Sept 2017 |
| Event | 18th International CINet Conference: Digitalization and Innovation: Designing the Organization of the Future - Potsdam, Germany Duration: 10 Sept 2017 → 12 Sept 2017 |
Conference
| Conference | 18th International CINet Conference: Digitalization and Innovation |
|---|---|
| Country/Territory | Germany |
| City | Potsdam |
| Period | 10/09/17 → 12/09/17 |
Keywords
- crowdsourcing
- bibliometrics
- co-occurrence
- text-mining
- new domains