Abstract
Big data analytics plays a key role in this era of fourth industrial revolution. However, the impact of big data analytics capabilities on innovative product development and employee development and finally on innovation and learning performance have not been thoroughly examined. To address the gap in existing literature, here research team draws on Dynamic capability view theory to conceptualise a theoretical framework. The unique contribution of this study is the theoretical framework and seven research propositions. Future research plan is to test the theoretical framework and suggest insights for supply chain managers.
| Original language | English |
|---|---|
| Title of host publication | 4th North American IEOM Conference. IEOM 2019 |
| Publisher | IEOM Society |
| Pages | 314-318 |
| Number of pages | 5 |
| ISBN (Print) | 9781532359507 |
| Publication status | Published - 2019 |
| Event | 4th North American IEOM Conference. IEOM 2019 - Toronto, Canada Duration: 23 Oct 2019 → 25 Oct 2019 |
Publication series
| Name | Proceedings of the International Conference on Industrial Engineering and Operations Management |
|---|---|
| ISSN (Electronic) | 2169-8767 |
Conference
| Conference | 4th North American IEOM Conference. IEOM 2019 |
|---|---|
| Country/Territory | Canada |
| City | Toronto |
| Period | 23/10/19 → 25/10/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Big data analytics
- Dynamic capability view theory
- Innovation
- Learning
ASJC Scopus subject areas
- Strategy and Management
- Management Science and Operations Research
- Control and Systems Engineering
- Industrial and Manufacturing Engineering
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