Internet of Things Data Visualization for Business Intelligence
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
This study contributes to the research on Internet of Things data visualization for business intelligence processes, an area of growing interest to scholars, by conducting a systematic review of the literature. A total of 237 articles published over the past 11 years were obtained and compared. This made it possible to identify the top contributing and most influential authors, countries, publishers, institutions, papers, and research findings, together with the challenges facing current research. Based on these results, this work provides a thorough insight into the field by proposing four research categories (Technology infrastructure, Case examples, Final-user experience, and Big Data tools), together with the development of these research streams over time and their future research directions.
Details
| Original language | English |
|---|---|
| Pages (from-to) | 478-503 |
| Number of pages | 26 |
| Journal | Big data |
| Volume | 12 |
| Issue number | 6 |
| Early online date | 8 Feb 2022 |
| Publication status | Published - Dec 2024 |
| Peer-reviewed | Yes |
| Externally published | Yes |
External IDs
| Scopus | 85171395330 |
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Keywords
Keywords
- Business Intelligence, Big Data, Industry 4.0, data visualization, Internet of Things