The Effect of Enterprise Crowdsourcing Systems on Employees’ Innovative Behavior and Job Performance
Location
Hilton Waikoloa Village, Hawaii
Event Website
http://hicss.hawaii.edu/
Start Date
1-3-2018
End Date
1-6-2018
Description
Employees are main sources of innovative ideas via their insights of companies’ products, processes, customers, and competitors. Enterprise crowdsourcing systems (ECSs) are used to collect, refine, and realize ideas. However, only a small percent of employees submit ideas - about 7.7% at Pfizer, 2% at HCL Technologies, and 3% at Polaris Industries. Why employee’s participation is low? More specifically, what are the factors that can lead employees to use ECS actively to submit and share their innovative ideas for improving their job performance? In this research, we used a multi-actor dyadic survey to survey 183 employees and their managers and conducted data analysis to understand the impact of ECS factors on employees’ job performance. The findings of this study can help organizations refine their ECSs and innovation initiatives.
The Effect of Enterprise Crowdsourcing Systems on Employees’ Innovative Behavior and Job Performance
Hilton Waikoloa Village, Hawaii
Employees are main sources of innovative ideas via their insights of companies’ products, processes, customers, and competitors. Enterprise crowdsourcing systems (ECSs) are used to collect, refine, and realize ideas. However, only a small percent of employees submit ideas - about 7.7% at Pfizer, 2% at HCL Technologies, and 3% at Polaris Industries. Why employee’s participation is low? More specifically, what are the factors that can lead employees to use ECS actively to submit and share their innovative ideas for improving their job performance? In this research, we used a multi-actor dyadic survey to survey 183 employees and their managers and conducted data analysis to understand the impact of ECS factors on employees’ job performance. The findings of this study can help organizations refine their ECSs and innovation initiatives.
https://aisel.aisnet.org/hicss-51/cl/data_science_for_collaboration/2