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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Vydáno v:Zbornik radova Ekonomskog fakulteta u Rijeci Ročník 42; číslo 2; s. 479 - 507
Hlavní autoři: Maričić, Milica, Dacić-Pilčević, Aleksandra, Jeremić, Veljko, Uskoković, Veljko
Médium: Journal Article Paper
Jazyk:angličtina
Vydáno: Rijeka Sveuciliste u Rijeci 23.12.2024
Sveučilište u Rijeci, Ekonomski fakultet
Faculty of Economics University of Rijeka
Témata:
Algorithms
Artificial intelligence
artificial intelligence, sharing economy, bibliometric analysis
Automation
bibliometric analysis
Bibliometrics
Business models
Citations
Client satisfaction
Customer satisfaction
Digital economy
Economic models
Economic theory
Energy efficiency
Human dignity
Innovations
Literary criticism
Resource allocation
Satisfaction
Sharing economy
Trends
ISSN:1331-8004, 1846-7520
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Shrnutí: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. Recentna znanstvena pozornost porasla je u svezi integracije umjetne inteligencije (AI) u različitim znanstvenim područjima, što je potaknulo pomnije ispitivanje sveprisutnog utjecaja AI-a na ekonomske paradigme poput ekonomije dijeljenja (SE).Ova se studija bavi višestrukim sjecištima umjetne inteligencije unutar SE-a, koristeći bibliometrijski analitički okvir. Uspostavljanjem terminološke osnove u umjetnoj inteligenciji, studija istražuje široki spektar primjena umjetne inteligencije u SE-u, što kulminira bibliometrijskom analizom koja identificira nove teme i trendove. Analizirajući meta-podatke literature iz baze podataka Web of Science tijekom proteklih osam godina, fokus je na citiranim temama unutar SEa. Dubinske analize, koje omogućuje Bibliometrix R paket, primjenjuju se na odabrani izbor radova. Rezultati otkrivaju ključne uvide, poput toga kako tekstualna analitika vođena umjetnom inteligencijom značajno povećava zadovoljstvo korisnika putem recenzija koje generiraju korisnici. Osim toga, umjetna inteligencija igra ključnu ulogu u promicanju energetski učinkovitih ponašanja u pametnim smještajima, dok se algoritamski nadzor sve više integrira u digitalne platforme rada kako bi se uravnotežila automatizacija s ljudskim dostojanstvom. Nadalje, umjetna inteligencija optimizira raspodjelu resursa i poboljšava algoritme usklađivanja na mrežnim platformama rada, čime se povećava učinkovitost platforme. Studija predlaže buduće istraživačke puteve, zagovarajući šire istraživanje uloge umjetne inteligencije u digitalnim ekonomskim modelima i veću uključenost vlade.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
325021
ISSN:1331-8004
1846-7520
DOI:10.18045/zbefri.2024.2.5