| Creators: |
Mittermeier, Ferdinand and Hund, Axel and Beimborn, Daniel and Wagner, Heinz-Theo |
| Title: |
Towards a Conceptual Model of Digital Innovation Success |
| Item Type: |
Conference or Workshop Item |
| Event Title: |
(Proceedings of the) 21st ACM SIGMIS Conference on Computers and People Research |
| Event Location: |
Nürnberg, Germany (Virtual online conference) |
| Event Dates: |
30. Juni 2021 |
| Projects: |
IDI |
| Page Range: |
pp. 79-88 |
| Date: |
2021 |
| Divisions: |
Informationsmanagement |
| Abstract (ENG): |
Although digital innovation (‘DI’) is a popular research field in these days, when it comes to innovation success, it has not yet been properly grounded in theory. Accordingly, there are problems in identifying both generic and context-specific critical success factors (CSF) within the innovation process. Existing literature has focused mainly on the development of dynamic capabilities. We argue that to build digital innovation capabilities, an organization must first understand and support the actions of those who are actively developing DI. To uncover specific actions that constitute CSFs within every dimension of the digital innovation process, we follow a multiple case study design with seven companies from different industries. Here, we build upon the ‘digital innovation framework’ which defines the process of creating DI across four dimensions (initiate, develop, implement, exploit). Based on these case studies, we build a conceptual model consisting of digital innovation actions, critical success factors and contingency factors. The proposed model serves as a starting point for future research, which should focus on a detailed quantitative investigation of the cause-effect relationships and the contingency factors to validate our propositions. |
| Forthcoming: |
No |
| Language: |
English |
| Citation: |
Mittermeier, Ferdinand and Hund, Axel and Beimborn, Daniel and Wagner, Heinz-Theo
(2021)
Towards a Conceptual Model of Digital Innovation Success.
In: (Proceedings of the) 21st ACM SIGMIS Conference on Computers and People Research, 30. Juni 2021, Nürnberg, Germany (Virtual online conference), pp. 79-88.
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