| Autor: |
Fotova Čiković, Katerina, Milković, Marin, Rassameethes, Bordin |
| Přispěvatelé: |
Suwannarat, Pornlapas, Meeampol, Sasivimol, Rassameethes, Bordin, Sooksmarn, Suparerk |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Popis: |
The number of devices connected to the Internet is ever-growing and is expected to continue to grow exponentially as people increase the number of devices they purchase for both private and business purposes. Therefore, the Internet of Things (IoT) is currently an emerging topic of technical, social, and economic importance. Moreover, IoT-related research has drawn considerable public attention. Considering the applicability of IoT in many areas of life and business, it should come as no surprise that IoT- related research is the main focus of this study. This systematic literature review explores the applications of the non-parametric Data Envelopment Analysis (DEA) in IoT-related research. The main objective is to survey, identify and present the relevant studies and their findings regarding the application of the Data Envelopment Analysis (DEA) in efficiency evaluation in IoT-related research. Notwithstanding, another goal is to provide a theoretical background on the DEA methodology and the Internet of Things. The conducted literature review has explored the Scopus and Web of Science scientific databases with the key phrases „DATA ENVELOPMENT ANALYSIS“ and „INTERNET OF THINGS“, which resulted in a total of 45 studies (25 in the Scopus and 20 in the Web of Science database). After applying all the exclusion criteria, a total of nine papers are qualitatively analysed in this study. The findings indicate that the surveyed studies have been published in the period between 2016 and 2022. Moreover, they primarily show the applicability of DEA in the IoT-related literature |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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