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Consumer recommendation dynamics in online retail business under logistic regression and naïve Bayes analyses


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Agarap, A.F.M. (2020). Statistical analysis on e-commerce reviews with sentiment classification using bidirectional recurrent neural networks. Preprint. Available at https://arxiv.org/pdf/1805.03687.pdfSearch in Google Scholar

Androniceanu, A., Georgescu, I., & Kinnunen, J. (2020a). The key role of social media in identifying consumer opinions for building sustainable competitive advantages. In Meiselwitz G. (Eds.) Social Computing and Social Media. Participation, User Experience, Consumer Experience and Applications of Social Computing. HCII 2020. Lecture Notes in Computer Science, vol. 12195, Springer, Cham, 261-277.Search in Google Scholar

Androniceanu, A., Kinnunen, J., Georgescu, I., & Androniceanu A.-M. (2020b). Multidimensional analysis of consumer behaviour on the European digital market. In: Sroka W. (eds.) Perspectives on Consumer Behaviour. Contributions to Management Science. Springer, Cham. https://doi.org/10.1007/978-3-030-47380-8_410.1007/978-3-030-47380-8_4Search in Google Scholar

Andzulis, J. M., Panagopoulos, N. G. & Rapp, A. (2012). A review of social media and implications for the sales process. Journal of Personal Selling& Sales Management, 2(3), 305-316.10.2753/PSS0885-3134320302Search in Google Scholar

Brooks, N. (2018a). Guided numeric and text exploration E-commerce, available at: https://www.kaggle.com/nicapotato/guided-numeric-and-text-exploration-commerceSearch in Google Scholar

Brooks, N.:(2018b) Women’s e-commerce clothing review, available at: https://www.kaggle.com/nicapoto/womens-ecommerce-clothing-viewsSearch in Google Scholar

Chen, W-K, Huang, H-C, & Chou, S-C. (2010). Understanding consumer recommendation behavior. In Pousttchi, K. & Wiedemann, D.G. (eds.) Handbook of Research on Mobile Marketing Management, IGI Global, pp. 401-41610.4018/978-1-60566-074-5.ch021Search in Google Scholar

Chivandi, A., Vafana, S., Samuel, O.G., & Muchie, M. (2018). Social media innovation consumption of hair products in South Africa; African female perception. Journal of Retail and Consumer Services, JJRC2018759Search in Google Scholar

Chivandi, A., Samuel, M. O., & Muchie, M. (2019). Social media, consumer behaviour and service marketing. Consumer Behaviour and Service Marketing. Matthew Reyes. IntechOpen, Available at: https://www.intechopen.com/books/consumer-behavior-andmarketing/socialmediaconsumer-behavior-and-service-marketing10.5772/intechopen.85406Search in Google Scholar

Fotiadis, A. K. & Stylos, N. (2017). The effects of online social networking on retailer consumer dynamics in the attraction industry: The case of ‘E-da’ theme park, Taiwan. Technological Forecasting and Social Change. 124, 283-294.10.1016/j.techfore.2016.06.033Search in Google Scholar

McHugh, M.L. (2009). The odds ratio: calculation, usage, and interpretation. Biochem Med., 19(2), 120-126.10.11613/BM.2009.011Search in Google Scholar

Mitchell, T. (2020). Machine Learning (2nd ed.) McGraw Hill.Search in Google Scholar

Sperandei, S. (2014). Understanding logistic regression analysis. Biochem Med., 24(1), 12-18.10.11613/BM.2014.003393697124627710Search in Google Scholar

Siering, M, Deokar, A.V., & Janze, C. (2018). Disentangling consumer recommendations: Explaining and predicting airline recommendations based on online reviews. Decision Support Systems, 107, March 2018, 52-63.10.1016/j.dss.2018.01.002Search in Google Scholar

Vaitkevicius, S., Mazeikiene, E., Bilan, S., Navickas, V., & Savaneviciene, A. (2019). Economic demand formation motives in online-shopping. Inzinerine Ekonomika Engineering Economics, 30(5), 631-640.10.5755/j01.ee.30.5.23755Search in Google Scholar