Data Science and Marketing in E-Commerce Amid COVID-19 Pandemic
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Zhang, Dan & Pee, L.G. & Cui, Lili, 2021. "Artificial intelligence in E-commerce fulfillment: A case study of resource orchestration at Alibaba’s Smart Warehouse," International Journal of Information Management, Elsevier, vol. 57(C).
- Ballestar, María Teresa & Grau-Carles, Pilar & Sainz, Jorge, 2018. "Customer segmentation in e-commerce: Applications to the cashback business model," Journal of Business Research, Elsevier, vol. 88(C), pages 407-414.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Ballestar, María Teresa & Mir, Miguel Cuerdo & Pedrera, Luis Miguel Doncel & Sainz, Jorge, 2024. "Effectiveness of tutoring at school: A machine learning evaluation," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
- Pramanik, Paritosh & Jana, Rabin K. & Ghosh, Indranil, 2024. "AI readiness enablers in developed and developing economies: Findings from the XGBoost regression and explainable AI framework," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
- Aki Harima & Jan Harima & Jörg Freiling, 2024. "Ecosystem Orchestration: Unpacking the Leadership Capabilities of Anchor Organizations in Nascent Entrepreneurial Ecosystems," Entrepreneurship Theory and Practice, , vol. 48(6), pages 1404-1450, November.
- Etienne Thenoz & Solène Juteau & Frantz Rowe, 2024.
"E-commerce transformation: A literature review from an institutional and organizational perspective,"
Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-20, December.
- Etienne Thenoz & Solène Juteau & Frantz Rowe, 2024. "E-commerce transformation: A literature review from an institutional and organizational perspective," Post-Print hal-04793487, HAL.
- Zuzana Svobodová & Jaroslava Rajchlová, 2020. "Strategic Behavior of E-Commerce Businesses in Online Industry of Electronics from a Customer Perspective," Administrative Sciences, MDPI, vol. 10(4), pages 1-24, October.
- Roy, Sanjit K. & Tehrani, Ali N. & Pandit, Ameet & Apostolidis, Chrysostomos & Ray, Subhasis, 2025. "AI-capable relationship marketing: Shaping the future of customer relationships," Journal of Business Research, Elsevier, vol. 192(C).
- 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).
- Emmanouil Papagiannidis & Ida Merete Enholm & Chirstian Dremel & Patrick Mikalef & John Krogstie, 2023. "Toward AI Governance: Identifying Best Practices and Potential Barriers and Outcomes," Information Systems Frontiers, Springer, vol. 25(1), pages 123-141, February.
- Xu, Lina & Roy, Abhijit, 2022. "Cashback as cash forward: The serial mediating effect of time/effort and money savings," Journal of Business Research, Elsevier, vol. 149(C), pages 30-37.
- Kessara Kanchanapoom & Jongsawas Chongwatpol, 2023. "Integrated customer lifetime value (CLV) and customer migration model to improve customer segmentation," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(2), pages 172-185, June.
- Ali, Omar & Murray, Peter A. & Momin, Mujtaba & Al-Anzi, Fawaz S., 2023. "The knowledge and innovation challenges of ChatGPT: A scoping review," Technology in Society, Elsevier, vol. 75(C).
- Halpern, Nigel & Mwesiumo, Deodat & Budd, Thomas & Suau-Sanchez, Pere & Bråthen, Svein, 2021. "Segmentation of passenger preferences for using digital technologies at airports in Norway," Journal of Air Transport Management, Elsevier, vol. 91(C).
- Tueanrat, Yanika & Papagiannidis, Savvas & Alamanos, Eleftherios, 2021. "A conceptual framework of the antecedents of customer journey satisfaction in omnichannel retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
- Queiroz, Maciel M. & Fosso Wamba, Samuel & Chiappetta Jabbour, Charbel Jose & Machado, Marcio C., 2022. "Supply chain resilience in the UK during the coronavirus pandemic: A resource orchestration perspective," International Journal of Production Economics, Elsevier, vol. 245(C).
- Xiao, Jin & Li, Yuxi & Tian, Yuhang & Jiang, Xiaoyi & Wang, Yuan & Wang, Shouyang, 2025. "Optimising allocation of marketing resources among offline channel retailers: A bi-clustering-based model," Journal of Business Research, Elsevier, vol. 186(C).
- Mohammed Charaf Eddine BOUREZIG & Soumya Chahinez TALEB BOUGUERRI, 2024. "The Intersection of AI and Digital Entrepreneurship: Studying the Varied Ways that AI is Changing Digital Enterprises," Management and Economics Review, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 9(1), pages 78-90, February.
- Joni Salminen & Mekhail Mustak & Muhammad Sufyan & Bernard J. Jansen, 2023. "How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 677-692, December.
- Mashalah, Heider Al & Hassini, Elkafi & Gunasekaran, Angappa & Bhatt (Mishra), Deepa, 2022. "The impact of digital transformation on supply chains through e-commerce: Literature review and a conceptual framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 165(C).
- 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.
- Shrawan Kumar Trivedi & Pradipta Patra & Praveen Ranjan Srivastava & Justin Zuopeng Zhang & Leven J. Zheng, 2024. "What prompts consumers to purchase online? A machine learning approach," Electronic Commerce Research, Springer, vol. 24(4), pages 2953-2989, December.
More about this item
Keywords
; ; ; ;JEL classification:
- L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
- C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
- M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ers:journl:v:xxiv:y:2021:i:special1-part2:p:3-16. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Marios Agiomavritis (email available below). General contact details of provider: https://ersj.eu/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.