Abstract
The emergence of big data analytics (BDA) and artificial intelligence
(AI) offers hospital departments new opportunities to enhance service performance and the quality of care. However, the specific role of BDA-driven AI capabilities in driving innovation ambidexterity, the ability to simultaneously explore new ideas and exploit existing ones, remains unclear. Thus, our work investigates how BDA-driven AI capabilities influence innovation ambidexterity
and, in turn, enhance service performance at the departmental level. In doing so,
we use survey data from 118 Dutch hospital departments and analyze it using
partial least squares structural equation modeling (PLS-SEM). We find that
BDA-driven AI capabilities have a positive impact on the innovation ambidexterity of hospital departments, which subsequently enhances service performance. Supplementary analysis using two-step qualitative comparative analysis
(QCA) confirms our main findings and offers additional insights on the unique
roles of BDA-AI capabilities and innovation ambidexterity in driving service performance. The results are also confirmed through robustness checks using alternative measures of ambidexterity and alternative methods of analysis. This research adds to the extant literature by offering valuable insights into how hospital
departments could drive service performance while leveraging their BDA-driven
AI capabilities that foster innovation ambidexterity.
(AI) offers hospital departments new opportunities to enhance service performance and the quality of care. However, the specific role of BDA-driven AI capabilities in driving innovation ambidexterity, the ability to simultaneously explore new ideas and exploit existing ones, remains unclear. Thus, our work investigates how BDA-driven AI capabilities influence innovation ambidexterity
and, in turn, enhance service performance at the departmental level. In doing so,
we use survey data from 118 Dutch hospital departments and analyze it using
partial least squares structural equation modeling (PLS-SEM). We find that
BDA-driven AI capabilities have a positive impact on the innovation ambidexterity of hospital departments, which subsequently enhances service performance. Supplementary analysis using two-step qualitative comparative analysis
(QCA) confirms our main findings and offers additional insights on the unique
roles of BDA-AI capabilities and innovation ambidexterity in driving service performance. The results are also confirmed through robustness checks using alternative measures of ambidexterity and alternative methods of analysis. This research adds to the extant literature by offering valuable insights into how hospital
departments could drive service performance while leveraging their BDA-driven
AI capabilities that foster innovation ambidexterity.
| Original language | English |
|---|---|
| Title of host publication | Pervasive Digital Services for People’s Well-Being, Inclusion and Sustainable Development |
| Subtitle of host publication | 24th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2025, Limassol, Cyprus, September 9–11, 2025, Proceedings |
| Editors | Achilleas Achilleos, Stefano Forti, George Angelos Papadopoulos, Ilias Pappas |
| Publisher | Springer, Cham |
| Pages | 235-247 |
| Number of pages | 13 |
| Volume | 16079 |
| Edition | 1 |
| ISBN (Electronic) | 9783032061645 |
| ISBN (Print) | 9783032061638 |
| DOIs | |
| Publication status | Published - 28 Sept 2025 |
| Event | 24th IFIP WG 6.11: Conference on e-Business, e-Services and e-Society - Limassol, Cyprus Duration: 9 Sept 2025 → 11 Sept 2025 https://cyprusconferences.org/i3e2025/ |
Publication series
| Series | Lecture Notes in Computer Science |
|---|---|
| Volume | 16079 |
| ISSN | 0302-9743 |
Conference
| Conference | 24th IFIP WG 6.11 |
|---|---|
| Abbreviated title | I3E 2025 |
| Country/Territory | Cyprus |
| City | Limassol |
| Period | 9/09/25 → 11/09/25 |
| Internet address |