Data Quality Measures for Computational Research: Ensuring Informed Decisions with Emerging Data Sources

IF 5.4 2区 管理学 Q1 BUSINESS Journal of Advertising Pub Date : 2024-10-03 DOI:10.1080/00913367.2024.2403609
Edward C. Malthouse, Ewa Maslowska, Joanna Strycharz, Martin Block, Theo Araujo
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Abstract

The proliferation of computational advertising (CA) and other technological developments in artificial intelligence have greatly expanded the types of data used in advertising research, thereby cre...
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计算研究的数据质量措施:确保利用新兴数据源做出明智决策
计算广告(CA)的普及和人工智能领域的其他技术发展极大地扩展了广告研究中使用的数据类型,从而创造了更多的广告数据。
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来源期刊
CiteScore
11.20
自引率
10.50%
发文量
55
期刊介绍: The Journal of Advertising is the premier journal devoted to the development of advertising theory and its relationship to practice. The major purpose of the Journal is to provide a public forum where ideas about advertising can be expressed. Research dealing with the economic, political, social, and environmental aspects of advertising, and methodological advances in advertising research represent some of the key foci of the Journal. Other topics of interest recently covered by the Journal include the assessment of advertising effectiveness, advertising ethics, and global issues surrounding advertising.
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