دورية أكاديمية

Contextual-based Affinity Analytics Research on Association of Manager Response and Customer Reviews

التفاصيل البيبلوغرافية
العنوان: Contextual-based Affinity Analytics Research on Association of Manager Response and Customer Reviews
المؤلفون: Babu, Xavier, Zhang, Julie
المصدر: NEAIS 2023 Proceedings
بيانات النشر: AIS Electronic Library (AISeL)
سنة النشر: 2023
المجموعة: Association for Information Systems Research: AIS Electronic Library (AISeL)
مصطلحات موضوعية: Affinity Analytics, Panel Vector Autoregression, Review Convergence, Semantic Text Analytics, Contextual Embedding
الوصف: We study the affinity between managers' responses and customer reviews and explore its influence on review convergence, customer ratings, and prices. While previous research has explored the influence of product reviews on price and reputation, little attention has been given to the effectiveness of managers' responses and their impact on product price and rating. This study fills this gap by examining managers' responses and their correlation with product review convergence/divergence. Additionally, we investigate whether managers respond similarly to their peers and whether their responses are tailored to specific product review issues or exhibit a general similarity to their past responses. We develop a deep learning framework to understand semantic textual information in managers' responses and analyze the semantic affinity score. We investigate the dynamic relationships among the affinity of managers' responses and product reviews, review convergence, product reputation and price with the Panel Vector Autoregression model with a travel dataset from TripAdvisor.com.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: unknown
العلاقة: https://aisel.aisnet.org/neais2023/6Test; https://aisel.aisnet.org/context/neais2023/article/1005/viewcontent/NEAIS_2023_paper_10.pdfTest
الإتاحة: https://aisel.aisnet.org/neais2023/6Test
https://aisel.aisnet.org/context/neais2023/article/1005/viewcontent/NEAIS_2023_paper_10.pdfTest
رقم الانضمام: edsbas.31B7A31A
قاعدة البيانات: BASE