期刊全称 | Journal of Marketing Analytics | ||||||||||||||||||||||||||||||||||||||||||
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温馨提示 | (此期刊未被最新的JCR期刊引证报告收录) | ||||||||||||||||||||||||||||||||||||||||||
涉及主题
(科研通AI识别) |
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期刊介绍 | Data has become the new ore in today’s knowledge economy. However, merely storing and reporting are not enough to thrive in today’s increasingly competitive markets. What is called for is the ability to make sense of all these oceans of data, and to apply those insights to the way companies approach their markets, adjust to changing market conditions, and respond to new competitors. Marketing analytics lies at the heart of this contemporary wave of data driven decision-making. Companies can no longer survive when they rely on gut instinct to make decisions. Strategic leverage of data is one of the few remaining sources of sustainable competitive advantage. New products can be copied faster than ever before. Staff are becoming less loyal as well as more mobile, and business centers themselves are moving across the globe in a world that is getting flatter and flatter. The Journal of Marketing Analytics brings together applied research and practice papers in this blossoming field. A unique blend of applied academic research, combined with insights from commercial best practices makes the Journal of Marketing Analytics a perfect companion for academics and practitioners alike. Academics can stay in touch with the latest developments in this field. Marketing analytics professionals can read about the latest trends, and cutting edge academic research in this discipline. The Journal of Marketing Analytics will feature applied research papers on topics like targeting, segmentation, big data, customer loyalty and lifecycle management, cross-selling, CRM, data quality management, multi-channel marketing, and marketing strategy. The Journal of Marketing Analytics aims to combine the rigor of carefully controlled scientific research methods with applicability of real world case studies. Our double blind review process ensures that papers are selected on their content and merits alone, selecting the best possible papers in this field. | ||||||||||||||||||||||||||||||||||||||||||
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期刊ISSN | print: 2050-3318on-line: 2050-3326 | ||||||||||||||||||||||||||||||||||||||||||
2025最新影响因子 (2025年6月18日公布) 与上一年的差值 |
3.5↓ 0.5 | ||||||||||||||||||||||||||||||||||||||||||
历年影响因子 |
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历年发表/被引量 (科研通AI通过大数据分析) 最后更新日期:2025-07-29 |
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h-index(2021) | 暂无h-index数据 | ||||||||||||||||||||||||||||||||||||||||||
自引率 | 47.50% | ||||||||||||||||||||||||||||||||||||||||||
涉及的研究领域 | BUSINESS- | ||||||||||||||||||||||||||||||||||||||||||
中科院2025年分区 (2025年3月20日发布) |
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WOS期刊分区 (2025年6月18日公布) |
JCR学科分类
JCI学科分类
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中科院2024年分区 (2023年12月27日发布) |
暂无 | ||||||||||||||||||||||||||||||||||||||||||
中科院《国际期刊预警名单(试行)》名单 |
2024年02月发布的2024版:不在预警名单中 2023年01月发布的2023版:不在预警名单中 2021年12月发布的2021版:不在预警名单中 2021年01月发布的2020版:不在预警名单中 |
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期刊主页 |
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投稿网址 | https://www.editorialmanager.com/jrma | ||||||||||||||||||||||||||||||||||||||||||
编辑部地址 | |||||||||||||||||||||||||||||||||||||||||||
出版商 | Springer Nature | ||||||||||||||||||||||||||||||||||||||||||
出版国家(地区) | Switzerland | ||||||||||||||||||||||||||||||||||||||||||
出版语言 | |||||||||||||||||||||||||||||||||||||||||||
出版周期 | 4 issues per year | ||||||||||||||||||||||||||||||||||||||||||
每年出版文章数 | 45 | ||||||||||||||||||||||||||||||||||||||||||
Gold OA文章占比 | 19.62% | ||||||||||||||||||||||||||||||||||||||||||
原创研究文献占比 (排除综述) |
96.36% | ||||||||||||||||||||||||||||||||||||||||||
SCI收录类型 |
Emerging Sources Citation Index (ESCI) Scopus (CiteScore) |
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PubMed链接 | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=2050-3318%5BISSN%5D | ||||||||||||||||||||||||||||||||||||||||||
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