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المؤلفAmit, Singh
المؤلفJenamani, Mamata
المؤلفThakkar, Jitesh J.
المؤلفRana, Nripendra P.
تاريخ الإتاحة2023-06-08T07:25:28Z
تاريخ النشر2021-09-10
اسم المنشورJournal of Business Research
المعرّفhttp://dx.doi.org/10.1016/j.jbusres.2021.08.060
الاقتباسSingh, A., Jenamani, M., Thakkar, J. J., & Rana, N. P. (2022). Quantifying the effect of eWOM embedded consumer perceptions on sales: An integrated aspect-level sentiment analysis and panel data modeling approach. Journal of Business Research, 138, 52-64.
الرقم المعياري الدولي للكتاب0148-2963
معرّف المصادر الموحدhttps://www.sciencedirect.com/science/article/pii/S0148296321006275
معرّف المصادر الموحدhttp://hdl.handle.net/10576/44081
الملخصThis paper proposes a text-analytics framework that integrates aspect-level sentiment analysis (ASLSA) with bias-corrected least square dummy variable (LSDVc) – a panel data regression method – to empirically examine the influence of review-embedded information on product sales. We characterize the online perceptions as consumer opinions or sentiments corresponding to the product features discussed within the review. While ASLSA discovers key product features and quantifies the opinions in corresponding content, the LSDVc-based panel data regression analyses the consumer sentiments to explore their influence on product sales. The proposed framework is tested on the mid-sized car segment in India. Our findings suggest that review volume and the sentiments corresponding to the exterior and appearance significantly influence the mid-size car sales in India.
اللغةen
الناشرElsevier
الموضوعOnline reviews
Aspect-level sentiment analysis
Panel data analysis
Bias-corrected least square dummy variable
Sales prediction
Automobile industry
العنوانQuantifying the effect of eWOM embedded consumer perceptions on sales: An integrated aspect-level sentiment analysis and panel data modeling approach
النوعArticle
الصفحات52-64
رقم المجلد138
ESSN1873-7978
dc.accessType Abstract Only


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