Can customer sentiment impact firm value? An integrated text mining approach

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dc.authorid0000-0001-8857-5148
dc.contributor.authorDelen, Dursun
dc.contributor.authorDelen, Dursun
dc.contributor.authorEachempati, Prajwal
dc.contributor.authorSrivastava, Praveen Ranjan
dc.contributor.authorKumar, Ajay
dc.contributor.authorMu˜noz de Prat, Javier
dc.contributor.authorDelen, Dursun
dc.contributor.otherYönetim Bilimleri Fakültesi, İşletme Bölümü
dc.contributor.otherYönetim Bilimleri Fakültesi, İşletme Bölümü
dc.date.accessioned2021-11-01T18:21:02Z
dc.date.available2021-11-01T18:21:02Z
dc.date.issued2022
dc.departmentİHÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü
dc.description.abstractDeveloping measures to capture customer sentiment and securing a positive customer experience is a strategic necessity to improve firm profitability and shareholder value. The paper considers the relationship between customer satisfaction, earnings, and firm value as these drives change in stock prices, customer, and investor sentiment. The present study investigates the impact of customer sentiment polarity on stock prices based on Indian automobile sector databased such as the Indian Nifty Auto SNE (Maruti Suzuki, Tata Motors, and Eicher). A top-down approach is adopted to construct a financial proxy-based sentiment index completed with sentiment extracted from automobile news and customer reviews. The paper uses a text mining approach to holistically measure customer sentiment’s impact on investor sentiment and stock prices. The study was initially performed at the overall individual stock from the Nifty Auto NSE but focused on the top three passenger vehicle manufacturing companies i.e., Maruti Suzuki, Tata Motors, and Eicher. It was found that the sentiment index was augmented with news and customer reviews allows predicting more accurately NIFTY AUTO stock price movements. This implies that customer sentiment is a major driver of investor sentiment which in turn impacts the stock market and the firm value. Thus, the present study is an integrated approach to holistically measure customer sentiment’s impact on investor sentiment and stock prices.
dc.identifier.citationEachempati, P., Srivastava, P. R., Kumar, A., Mu˜noz de Prat, J. ve Delen, D. (2022). Can customer sentiment impact firm value? An integrated text mining approach. Technological Forecasting & Social Change, 174.
dc.identifier.issn0040-1625
dc.identifier.issue174
dc.identifier.scopus2-s2.0-85116946304
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://hdl.handle.net/20.500.12154/1643
dc.identifier.wosWOS:000711381400025
dc.identifier.wosqualityQ1
dc.indekslendigikaynakScopus
dc.indekslendigikaynakWeb of Science
dc.institutionauthorDelen, Dursun
dc.institutionauthorid0000-0001-8857-5148
dc.language.isoen
dc.publisherElsevier
dc.relation.ihupublicationcategory114
dc.relation.ispartofTechnological Forecasting and Social Change
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectCustomer Sentiment
dc.subjectResearch Methods
dc.subjectFirm Value
dc.subjectText Mining
dc.subjectSocial Media
dc.titleCan customer sentiment impact firm value? An integrated text mining approach
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublicationde384c43-bcde-4ccb-a0b7-39ead0e59bd0
relation.isAuthorOfPublication.latestForDiscoveryde384c43-bcde-4ccb-a0b7-39ead0e59bd0
relation.isOrgUnitOfPublicationc9253b76-6094-4836-ac99-2fcd5392d68f
relation.isOrgUnitOfPublication.latestForDiscoveryc9253b76-6094-4836-ac99-2fcd5392d68f

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