IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 114190 - 114197
Published: Jan. 1, 2024
Language: Английский
Health Policy, Journal Year: 2023, Volume and Issue: 132, P. 104821 - 104821
Published: April 14, 2023
Increasingly, the credibility of online reviews is drawing critical attention due to lack control mechanisms, constant debate about fake and, last but not least, current developments in field artificial intelligence. For this reason, aim study was examine extent which assessments recorded on physician rating websites (PRWs) are credible, based a comparison other evaluation criteria.Referring PRISMA guidelines, comprehensive literature search conducted across different scientific databases. Data were synthesized by comparing individual statistical outcomes, objectives and conclusions.The chosen strategy led database 36,755 studies 28 ultimately included systematic review. The review yielded mixed results regarding PRWs. While seven publications supported PRWs, six found no correlation between PRWs alternative datasets. 15 reported results.This has shown that ratings seem be credible when relying primarily patients' perception. However, these portals inadequate represent comparative values such as medical quality physicians. health policy makers our show decisions perceptions may well data from all decisions, however, do contain sufficiently useful data.
Language: Английский
Citations
4
Signal Image and Video Processing, Journal Year: 2024, Volume and Issue: 18(3), P. 2095 - 2103
Published: Jan. 19, 2024
Language: Английский
Citations
1
Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: April 12, 2024
Abstract This paper develops a theoretical model of determinants influencing multimodal fake review generation using the theories signaling, actor-network, motivation, and human–environment interaction hypothesis. Applying survey data from users China’s three leading E-commerce platforms (Taobao, Jingdong, Pinduoduo), we adopt structural equation modeling, machine learning technique, Bayesian complex networks analysis to perform factor identification, path analysis, feature importance ranking, regime division, network centrality full sample, male female sample reach following conclusions: (1) platforms’ recognition governance capabilities exert significant negative moderating effects on merchants’ information behavior, while it shows no apparent effect users’ behavior; emotional venting, perceived value, reward mechanisms, subjective norms positively influence through perceptual behavior control; (2) factors can be divided into four regimes, i.e., 1 includes mechanisms social costs, indicating they are key generation; merchant perception impact is positioned in 2, signifying its pivotal role 3 capabilities, supporting/disparaging merchants, venting; whereas user 4, weaker (3) both play crucial hiring control agency, exhibit high degree correlation; however, results also heterogeneity between samples, has different trends closeness values betweenness than sample. indicates that interconnected.
Language: Английский
Citations
1
International Journal of Innovation Management, Journal Year: 2024, Volume and Issue: 28(05n06)
Published: Aug. 1, 2024
Artificial intelligence (AI) has gained significant popularity in recent years. This study critically examines the existing literature on role and potential of AI, machine learning (ML) big data driving innovation. To best our knowledge, no survey provided a comprehensive overview this topic. The aim paper is thus to provide coherent theoretical cornerstones as well trends research AI analytics for Using various bibliometric analyses themes including publication counts trends, co-citations, co-authorship, keyword co-occurrence, we infer thematic structure innovation period from 1991 2021. publications are grouped into three major clusters, with Cluster 1 remaining constantly dominant theme digital landscape. 2 includes published studies data, which also received much attention. 3, most prominent, business performance, analytics, information systems. We analyse citation using Poisson negative binomial regressions. results show that structural variation approach provides new method tracking evaluating freshly context. findings current will be identifying areas interest scholars practitioners field worldwide. conclude review limitations practical orientations.
Language: Английский
Citations
1
IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 114190 - 114197
Published: Jan. 1, 2024
Language: Английский
Citations
1