Predicting customer quality in e-commerce social networks: a machine learning approach

Citations

Cited by:

1. Ying Song & Octavio Escobar & Unai Arzubiaga & Alfredo De Massis, 2022. "The digital transformation of a traditional market into an entrepreneurial ecosystem," Review of Managerial Science, Springer, vol. 16(1), pages 65-88, January.
   • Y. Song & Octavio Escobar & U. Arzubiaga & A. de Massis, 2022. "The Digital Transformation of a Traditional Market into an Entrepreneurial Ecosystem," Post-Print hal-04435629, HAL.
2. Truong Thi Hue & Ta Huy Hung, 2025. "Impact of artificial intelligence on branding: a bibliometric review and future research directions," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-11, December.
3. Ballestar, María Teresa & Díaz-Chao, Ángel & Sainz, Jorge & Torrent-Sellens, Joan, 2020. "Knowledge, robots and productivity in SMEs: Explaining the second digital wave," Journal of Business Research, Elsevier, vol. 108(C), pages 119-131.
4. Adrian Micu & Angela-Eliza Micu & Marius Geru & Alexandru Capatina & Mihaela-Carmen Muntean, 2021. "The Impact of Artificial Intelligence Use on the E-Commerce in Romania," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(56), pages 137-137, February.
5. Byron Graham & Karolis Matikonis, 2025. "SME crisis management and performance: leveraging algorithm supported induction to unravel complexity," Journal of Computational Social Science, Springer, vol. 8(3), pages 1-33, August.
6. W. Shabeena Shah & Zakaria Elkhwesky & K. Mohamed Jasim & Esraa Fayez Youssif Elkhwesky & Fady Fayez Youssif Elkhwesky, 2024. "Artificial intelligence in healthcare services: past, present and future research directions," Review of Managerial Science, Springer, vol. 18(3), pages 941-963, March.
7. Ballestar, María Teresa & Díaz-Chao, Ángel & Sainz, Jorge & Torrent-Sellens, Joan, 2021. "Impact of robotics on manufacturing: A longitudinal machine learning perspective," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
8. Peng, Peng & Jacobs, Sofie & Cambré, Bart, 2022. "How to create more customer value in independent shops: A set-theoretic approach to value creation," Journal of Business Research, Elsevier, vol. 146(C), pages 241-250.
9. Jacopo Ballerini & Dorra Yahiaoui & Guido Giovando & Alberto Ferraris, 2024. "E-commerce channel management on the manufacturers’ side: ongoing debates and future research pathways," Review of Managerial Science, Springer, vol. 18(2), pages 413-447, February.
10. Abdulaziz Alotaibi, 2024. "Artificial Intelligence in the Saudi Arabian Banking Sector: Role in Customer Satisfaction and Its Implementation Challenges," International Journal of Business and Management, Canadian Center of Science and Education, vol. 19(5), pages 172-172, September.
11. Xu, Zhaoyi & Saleh, Joseph Homer, 2021. "Machine learning for reliability engineering and safety applications: Review of current status and future opportunities," Reliability Engineering and System Safety, Elsevier, vol. 211(C).
12. Sunčica Rogić & Ljiljana Kašćelan & Vladimir Kašćelan & Vladimir Đurišić, 2022. "Automatic customer targeting: a data mining solution to the problem of asymmetric profitability distribution," Information Technology and Management, Springer, vol. 23(4), pages 315-333, December.
13. Richa Sharma, 2022. "Corporate Social Responsibility and Customer Satisfaction: Role of Artificial Intelligence," Acta Universitatis Bohemiae Meridionalis, University of South Bohemia in Ceske Budejovice, Faculty of Economics, vol. 25(2), pages 162-174.
14. Witkowski Aron & Wodecki Andrzej, 2024. "An Exploration of the Applications, Challenges, and Success Factors in AI-Driven Product Development and Management," Foundations of Management, Sciendo, vol. 16(1), pages 139-156.
15. Julián Chaparro-Peláez & Ángel Hernández-García & Ángel-José Lorente-Páramo, 2022. "May I have your attention, please? An investigation on opening effectiveness in e-mail marketing," Review of Managerial Science, Springer, vol. 16(7), pages 2261-2284, October.
16. Rituparna Basu & Md. Nayeem Aktar & Satish Kumar, 2025. "The interplay of artificial intelligence, machine learning, and data analytics in digital marketing and promotions: a review and research agenda," Journal of Marketing Analytics, Palgrave Macmillan, vol. 13(2), pages 267-287, June.
17. Wu, Chao, 2024. "Data privacy: From transparency to fairness," Technology in Society, Elsevier, vol. 76(C).
18. Ballestar, María Teresa & García-Lazaro, Aida & Sainz, Jorge & Sanz, Ismael, 2022. "Why is your company not robotic? The technology and human capital needed by firms to become robotic," Journal of Business Research, Elsevier, vol. 142(C), pages 328-343.
19. Huňady Ján & Pisár Peter & Khawaja Sarwar & Qureshi Fayyaz Hussain, 2024. "The Digital Transformation of European Union Countries before and during COVID-19," Business Systems Research, Sciendo, vol. 15(1), pages 22-45.
20. Ngai, Eric W.T. & Wu, Yuanyuan, 2022. "Machine learning in marketing: A literature review, conceptual framework, and research agenda," Journal of Business Research, Elsevier, vol. 145(C), pages 35-48.
21. Piotr Sawicki & Hanna Sawicka & Marek Karkula & Krzysztof Zajda, 2025. "Combined Rough Sets and Rule-Based Expert System to Support Environmentally Oriented Sandwich Pallet Loading Problem," Energies, MDPI, vol. 18(2), pages 1-48, January.
22. Marco Cioppi & Ilaria Curina & Barbara Francioni & Elisabetta Savelli, 2023. "Digital transformation and marketing: a systematic and thematic literature review," Italian Journal of Marketing, Springer, vol. 2023(2), pages 207-288, June.
23. Mustak, Mekhail & Salminen, Joni & Plé, Loïc & Wirtz, Jochen, 2021. "Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda," Journal of Business Research, Elsevier, vol. 124(C), pages 389-404.
24. Manuela Ingaldi & Robert Ulewicz, 2019. "How to Make E-Commerce More Successful by Use of Kano’s Model to Assess Customer Satisfaction in Terms of Sustainable Development," Sustainability, MDPI, vol. 11(18), pages 1-22, September.
25. Ballestar, María Teresa & Doncel, Luis Miguel & Sainz, Jorge & Ortigosa-Blanch, Arturo, 2019. "A novel machine learning approach for evaluation of public policies: An application in relation to the performance of university researchers," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
26. Fatemeh Safara, 2022. "A Computational Model to Predict Consumer Behaviour During COVID-19 Pandemic," Computational Economics, Springer;Society for Computational Economics, vol. 59(4), pages 1525-1538, April.