Zobrazeno 1 - 10
of 50 766
pro vyhledávání: '"Consumer complaints"'
Autor:
Aditya Nugroho1 yohanesadityanugroho@gmail.com, Wei-Tsong Wang1 wtwang@mail.ncku.edu.tw
Publikováno v:
Journal of Electronic Commerce Research. 2024, Vol. 25 Issue 1, p18-40. 23p.
Autor:
KOÇAN, Mahmut1 mahmutkocan@hotmail.com, YILDIZ, Emel2 emel.yildiz@yahoo.com
Publikováno v:
Çankırı Karatekin University Journal of the Faculty of Economics & Administrative Sciences. Spring2024, Vol. 14 Issue 1, p266-289. 24p.
Autor:
Yin, Qian1 (AUTHOR), Sadowski, Sebastian1 (AUTHOR) sebastian.sadowski@ru.nl
Publikováno v:
Journal of Consumer Behaviour. Jul2024, Vol. 23 Issue 4, p2071-2086. 16p.
This paper introduces the Consumer Feedback Insight & Prediction Platform, a system leveraging machine learning to analyze the extensive Consumer Financial Protection Bureau (CFPB) Complaint Database, a publicly available resource exceeding 4.9 GB in
Externí odkaz:
http://arxiv.org/abs/2407.06399
Autor:
Istanbulluoglu, Doga1 (AUTHOR) d.istanbulluoglu@bham.ac.uk, Oz, Seda2 (AUTHOR)
Publikováno v:
Accounting Perspectives. Dec2023, Vol. 22 Issue 4, p435-460. 26p.
Autor:
CAVLAK, Neslihan1 neslihancavlak@nku.edu.tr, SELVİ, Murat Selim2 msselvi@nku.edu.tr
Publikováno v:
International Journal of Management Economics & Business / Uluslararası Yönetim İktisat ve İşletme Dergisi. 2022, Vol. 18 Issue 3, p837-855. 19p.
Digital financial services can introduce new digital-safety risks for users, particularly survivors of intimate partner financial abuse (IPFA). To offer improved support for such users, a comprehensive understanding of their support needs and the bar
Externí odkaz:
http://arxiv.org/abs/2403.13944
Autor:
Vaishnav, Dhwani, Neethinayagam, Manimozhi, Khaire, Akanksha S, Dhoke, Mansi Vivekanand, Woo, Jongwook
Consumer complaints are a crucial source of information for companies, policymakers, and consumers alike. They provide insight into the problems faced by consumers and help identify areas for improvement in products, services, and regulatory framewor
Externí odkaz:
http://arxiv.org/abs/2310.06076
Large Language Models (LLMs) are reshaping consumer decision-making, particularly in communication with firms, yet our understanding of their impact remains limited. This research explores the effect of LLMs on consumer complaints submitted to the Co
Externí odkaz:
http://arxiv.org/abs/2311.16466
We develop an NLP-based procedure for detecting systematic nonmeritorious consumer complaints, simply called systematic anomalies, among complaint narratives. While classification algorithms are used to detect pronounced anomalies, in the case of sma
Externí odkaz:
http://arxiv.org/abs/2308.11138