The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Customer relationship management and big data enabled: Personalization & customization of services
Open accessAbstract
The emergence of big data brings a new wave of Customer Relationship Management (CRM)’s strategies in supporting personalization and customization of sales, services and customer services. CRM needs big data for better customers experiences especially personalization and customization of services. Big data is a popular term used to describe data that is volume, velocity, variety, veracity, and value of data both structured and unstructured. Big data requires new tools and techniques to capture, store and analyse it and is used to improve decision making for enhancing customer management. The aim of the research is to examine big data for CRM’s scenario. The method of collection of data for this study was literature review and thematic analysis from recent studies. The study reveals that CRM with big data has enabled business to become more aggressive in term of marketing strategy like push notification through smartphone to their potential target audiences.
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Cites
Business intelligence and analytics: from big data to big impact
Chen, H., Chiang, R. H. L., & Storey, V. C. (2012) · MIS Quarterly · doi:10.2307/41703503 · Cited by 6,250
Systematic Literature Reviews in Software Engineering—A Systematic Literature Review
Kitchenham, B., Pearl Brereton, O., Budgen, D., Turner, M., Bailey, J., & Linkman, S. (2009) · Information and Software Technology · doi:10.1016/j.infsof.2008.09.009 · Cited by 4,537
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Big data consumer analytics and the transformation of marketing
Erevelles, S., Fukawa, N., & Swayne, L. (2016) · Journal of Business Research · doi:10.1016/j.jbusres.2015.07.001 · Cited by 1,377
Big data analytics in E-commerce: a systematic review and agenda for future research
Akter, S., & Wamba, S. F. (2016) · Electronic Markets · doi:10.1007/s12525-016-0219-0 · Cited by 684
Tutorial: Big Data Analytics: Concepts, Technologies, and Applications
Watson, H. J. (2014) · Communications of the Association for Information Systems · doi:10.17705/1cais.03465 · Cited by 340
Smartphone habit and behavior in Brunei: Personalization, gender, and generation gap
Anshari, M., Alas, Y., Hardaker, G., Jaidin, J. H., Smith, M., & Ahad, A. D. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.07.063 · Cited by 180
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Cited by
Personalization in personalized marketing: Trends and ways forward
Chandra, S., Verma, S., Lim, W. M., Kumar, S., & Donthu, N. (2022) · Psychology & Marketing · doi:10.1002/mar.21670 · Cited by 595
Digital marketplace and FinTech to support agriculture sustainability
Anshari, M., Almunawar, M. N., Masri, M., & Hamdan, M. (2019) · Energy Procedia · doi:10.1016/j.egypro.2018.11.134 · Cited by 218
Self-citationDrydakis, N. (2022) · Information Systems Frontiers · doi:10.1007/s10796-022-10249-6 · Cited by 180
Theodorakopoulos, L., & Theodoropoulou, A. (2024) · Human Behavior and Emerging Technologies · doi:10.1155/2024/3641502 · Cited by 153
Rizomyliotis, I., Kastanakis, M. N., Giovanis, A., Konstantoulaki, K., & Kostopoulos, I. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.08.035 · Cited by 85
Metadata
- Authors
- Anshari, M., Almunawar, M. N., Lim, S. A., & Al-Mudimigh, A.
- Venue
- Applied Computing and Informatics
- Publisher
- Emerald
- Published
- 2019-07
- Volume
- 15
- Issue
- 2
- Pages
- 94-101
- ISSN
- 2210-8327 (ISSN-L)
- OpenAlex
- W2802539019
- Cited by
- 406
- References
- 7
- FWCI
- 41.91
- Type
- journal article
- Language
- en
- Open access
- diamond
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
