Exploring the Intersection Between Data-Driven Marketing and Economics

Author:

dos Santos João Rodrigues1ORCID,Machado Andreia de Bem2ORCID,Sacavém António3,Boechat Ana Carolina4ORCID,Sousa Maria José5ORCID

Affiliation:

1. Instituto Superior de Educação e Ciências, Portugal

2. Universidade Federal de Santa Catarina, Brazil

3. Universidade Europeia, Portugal

4. IADE, Universidade Europeia, Portugal

5. ISCTE, Instituto Universitário de Lisboa, Portugal

Abstract

In a contemporary business scenario, we are witnessing a significant convergence between data-driven marketing and economics, triggering fertile ground for scientific research. One of the central themes that emerged from this exploration is the escalating economic significance of big data in marketing practices. With the digital age, these disciplines intertwine as marketing-driven data analysis intersects with economic principles. This crossover raises pertinent questions about the implications for economic dynamics as organizations increasingly rely on data to guide their marketing strategies. The analysis revealed emerging trends and research streams within data-driven marketing and economics. This scientific chapter emerged from a bibliometric review to address this intersection, highlighting data-driven marketing personalization, strategic segmentation, and consumer feedback on economic performance. By mapping trends, gaps, and debates in the literature, it aims to provide a more comprehensive understanding of these interdisciplinary dynamics.

Publisher

IGI Global

Reference66 articles.

1. Data-driven marketing

2. Abdian, S., Hosseinzadeh Shahri, M., & Khadivar, A. (2022). Identifying Fields of Big Data Application in Marketing. Perspective of Business Management, (47).

3. Sentiment analysis of a nomadic tax social enterprise

4. The Role of Predictive Analytics in Knowing the Future Prices of Listed Stocks in The Market: دور التحليلات التنبؤية في معرفة أسعار الأسهم المستقبلية المدرجة في السوق

5. Ayouni, M., & Lanzi, T. (2022). Credence goods, consumer feedback and (in) efficiency. Consumer Feedback and (In) Efficiency. Retrieved from https://beta.u-strasbg.fr/WP/2022/2022-27.pdf

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3