at Google ScholarTitle data
Leyer, Michael ; Oberländer, Anna Maria:
The Influence of Mental Models on Employee-Driven Digital Process Innovation during Times of a Crisis.
In:
Proceedings of the 43rd International Conference on Information Systems (ICIS). -
Kopenhagen, Denmark
,
2022
Project information
| Project title: |
Project's official title Project's id Projektgruppe WI Digitales Innovationsmanagement No information Projektgruppe WI Digitale Innovationswerkstatt No information |
|---|
Abstract in another language
Digital technologies democratise the development of digital innovation. The resulting em-ployee-driven digital innovation has become a major driver for digital transformations and especially important during crisis times, such as the COVID 19 pandemic. To better understand cognitive factors influencing employee-driven digital process innovation (EDPI), we investigate the role of individual mental models for EDPI during times of a crisis compared to ‘normal’ times. Drawing from longitudinal data before and during the COVID 19 crisis, we find mental models having a significant influence on EDPI behaviour during ‘normal’ times. This relationship, however, loses robustness during the crisis, when employees with more accurate mental models show significant less EDPI behaviour before slowly recovering. We relate these findings to the mental models’ explanatory power and derive recommendations for management. Our study contributes explanatory knowledge on employee-driven digital innovation and related cognitive antecedents.