Navigating the landscape: Unveiling the reflection of AI in the sharing economy through bibliometric-based approach
Recent scholarly attention has surged in integrating artificial intelligence (AI) across various scientific domains, prompting a closer examination of AI’s pervasive influence on economic paradigms like the sharing economy (SE). This study delves into the multifaceted intersections of AI within the...
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| Format: | Article |
| Language: | deu |
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Faculty of Economics University of Rijeka
2024-12-01
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| Series: | Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu |
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| Online Access: | https://www.efri.uniri.hr/upload/1/09-Uskokovi%C4%87_et_al-2024-2.pdf |
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| author | Veljko Uskoković Milica Maričić Aleksandra Dacić-Pilčević Veljko Jeremić |
| author_facet | Veljko Uskoković Milica Maričić Aleksandra Dacić-Pilčević Veljko Jeremić |
| author_sort | Veljko Uskoković |
| collection | DOAJ |
| description | Recent scholarly attention has surged in integrating artificial intelligence (AI) across various scientific domains, prompting a closer examination of AI’s pervasive influence on economic paradigms like the sharing economy (SE). This study delves into the multifaceted intersections of AI within the SE, employing a bibliometric-based analytical framework. By establishing a terminological grounding in AI, the study surveys a broad spectrum of AI applications in the SE, culminating in a bibliometric analysis that identifies emerging themes and trends. Analysing literature metadata from the Web of Science database over the past eight years, the focus is on citation topics within the SE. In-depth analyses, facilitated by the Bibliometrix R package, are applied to a curated selection of papers. The findings reveal key insights, such as how AI-driven text analytics significantly enhance customer satisfaction through user-generated reviews. Additionally, AI plays a crucial role in promoting energy-efficient behaviour in smart accommodations, while algorithmic oversight is increasingly integrated into digital labour platforms to balance automation with human dignity. Furthermore, AI optimizes resource allocation and improves matching algorithms on online labour platforms, thereby boosting platform efficiency. The study suggests future research avenues, advocating for broader exploration of AI’s role in digital economic models and greater governmental involvement. |
| format | Article |
| id | doaj-art-040c4a15bc4d4054940d3f79ce6e379c |
| institution | Kabale University |
| issn | 1331-8004 1846-7520 |
| language | deu |
| publishDate | 2024-12-01 |
| publisher | Faculty of Economics University of Rijeka |
| record_format | Article |
| series | Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu |
| spelling | doaj-art-040c4a15bc4d4054940d3f79ce6e379c2025-01-29T12:01:25ZdeuFaculty of Economics University of RijekaZbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu1331-80041846-75202024-12-0142247950710.18045/zbefri.2024.2.5Navigating the landscape: Unveiling the reflection of AI in the sharing economy through bibliometric-based approachVeljko Uskoković0https://orcid.org/0000-0001-9720-308XMilica Maričić1Aleksandra Dacić-Pilčević2Veljko Jeremić3Teaching Associate, University of Belgrade, Faculty of Organizational Sciences, Jove Ilića 154, 11000 Belgrade. Scientific affiliation: applied statistics, biostatistics, scientometrics. E-mail: vel-jko.uskokovic@fon.bg.ac.rsAssistant professor, University of Belgrade, Faculty of Organizational Sciences, Jove Ilića 154, 11000 Belgrade. Scientific affiliation: applied statistics, SEM analysis, multivariate statistical analysis. E-mail: milica.maricic@fon.bg.ac.rsEuropean Medicines Agency, Domenico Scarlattilaan 6, 1083 HS Amsterdam, The Netherlands. Scientific affiliation: ICT & AI in health, Project Management in ICT. E-mail: aleksan-dra.dacicpilcevic@ema.europa.euFull professor, University of Belgrade, Faculty of Organizational Sciences, Jove Ilića 154, 11000 Belgrade. Scientific affiliation: applied statistics, scientometrics, quantitative methods. E-mail: veljko.jeremic@fon.bg.ac.rsRecent scholarly attention has surged in integrating artificial intelligence (AI) across various scientific domains, prompting a closer examination of AI’s pervasive influence on economic paradigms like the sharing economy (SE). This study delves into the multifaceted intersections of AI within the SE, employing a bibliometric-based analytical framework. By establishing a terminological grounding in AI, the study surveys a broad spectrum of AI applications in the SE, culminating in a bibliometric analysis that identifies emerging themes and trends. Analysing literature metadata from the Web of Science database over the past eight years, the focus is on citation topics within the SE. In-depth analyses, facilitated by the Bibliometrix R package, are applied to a curated selection of papers. The findings reveal key insights, such as how AI-driven text analytics significantly enhance customer satisfaction through user-generated reviews. Additionally, AI plays a crucial role in promoting energy-efficient behaviour in smart accommodations, while algorithmic oversight is increasingly integrated into digital labour platforms to balance automation with human dignity. Furthermore, AI optimizes resource allocation and improves matching algorithms on online labour platforms, thereby boosting platform efficiency. The study suggests future research avenues, advocating for broader exploration of AI’s role in digital economic models and greater governmental involvement.https://www.efri.uniri.hr/upload/1/09-Uskokovi%C4%87_et_al-2024-2.pdfartificial intelligencesharing economybibliometric analysis |
| spellingShingle | Veljko Uskoković Milica Maričić Aleksandra Dacić-Pilčević Veljko Jeremić Navigating the landscape: Unveiling the reflection of AI in the sharing economy through bibliometric-based approach Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu artificial intelligence sharing economy bibliometric analysis |
| title | Navigating the landscape: Unveiling the reflection of AI in the sharing economy through bibliometric-based approach |
| title_full | Navigating the landscape: Unveiling the reflection of AI in the sharing economy through bibliometric-based approach |
| title_fullStr | Navigating the landscape: Unveiling the reflection of AI in the sharing economy through bibliometric-based approach |
| title_full_unstemmed | Navigating the landscape: Unveiling the reflection of AI in the sharing economy through bibliometric-based approach |
| title_short | Navigating the landscape: Unveiling the reflection of AI in the sharing economy through bibliometric-based approach |
| title_sort | navigating the landscape unveiling the reflection of ai in the sharing economy through bibliometric based approach |
| topic | artificial intelligence sharing economy bibliometric analysis |
| url | https://www.efri.uniri.hr/upload/1/09-Uskokovi%C4%87_et_al-2024-2.pdf |
| work_keys_str_mv | AT veljkouskokovic navigatingthelandscapeunveilingthereflectionofaiinthesharingeconomythroughbibliometricbasedapproach AT milicamaricic navigatingthelandscapeunveilingthereflectionofaiinthesharingeconomythroughbibliometricbasedapproach AT aleksandradacicpilcevic navigatingthelandscapeunveilingthereflectionofaiinthesharingeconomythroughbibliometricbasedapproach AT veljkojeremic navigatingthelandscapeunveilingthereflectionofaiinthesharingeconomythroughbibliometricbasedapproach |