Consumer recommendation dynamics in online retail business under logistic regression and naïve Bayes analyses
By:
References
- 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.pdf
- 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.
- 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_4
- 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/PSS0885-3134320302
- Brooks, N. (2018a). Guided numeric and text exploration E-commerce, available at: https://www.kaggle.com/nicapotato/guided-numeric-and-text-exploration-commerce
- Brooks, N.:(2018b) Women’s e-commerce clothing review, available at: https://www.kaggle.com/nicapoto/womens-ecommerce-clothing-views
- 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.ch021
- 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, JJRC2018759
- 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.85406
- 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.2016.06.033
- McHugh, M.L. (2009). The odds ratio: calculation, usage, and interpretation. Biochem Med., 19(2), 120-126.10.11613/BM.2009.011
- Mitchell, T. (2020). Machine Learning (2nd ed.) McGraw Hill.
- Sperandei, S. (2014). Understanding logistic regression analysis. Biochem Med., 24(1), 12-18.10.11613/BM.2014.003393697124627710
- 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.2018.01.002
- 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.30.5.23755
DOI: https://doi.org/10.2478/icas-2021-0011 | Journal eISSN: 2668-6309
Language: English
Page range: 120 - 128
Published on: May 31, 2021
Published by: Grupul de Econometrie Aplicata
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year
Keywords:
Related subjects:
© 2021 Irina Georgescu, Jani Kinnunen, published by Grupul de Econometrie Aplicata
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.