Abstract
Cloud computing remains an increasingly popular topic among practitioners as well as researchers. The literature spans across multiple disciplines, and the knowledge is fragmented and not systematized. To address this issue we apply topic models to conduct a meta-review on cloud computing. We identify twenty research topics across multiple disciplines, and demonstrate the use of the approach to conduct reviews in the field of information systems (IS). In additionally, we discuss multidisciplinary nature of cloud research, as well as research topics attracting contributions from various scientific fields.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 49th Annual Hawaii International Conference on System Sciences, HICSS 2016 |
| Publisher | IEEE |
| Pages | 3979-3988 |
| Number of pages | 10 |
| Volume | 2016-March |
| ISBN (Electronic) | 9780769556703 |
| DOIs | |
| Publication status | Published - 7 Mar 2016 |
| MoE publication type | A4 Conference publication |
| Event | Annual Hawaii International Conference on System Sciences - Koloa, United States Duration: 5 Jan 2016 → 8 Jan 2016 Conference number: 49 |
Conference
| Conference | Annual Hawaii International Conference on System Sciences |
|---|---|
| Abbreviated title | HICSS |
| Country/Territory | United States |
| City | Koloa |
| Period | 05/01/2016 → 08/01/2016 |
Keywords
- Cloud computing
- Digitalization
- Information systems
- Latent Dirichlet Allocation
- Literature review
- Meta-review
- Topic models
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