市场情报的研究趋势:通过数据驱动的定量方法进行审查

IF 4 Q2 BUSINESS
Mostofa Wahid Soykoth, Woojong Sim, Sydney Frederick
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引用次数: 0

摘要

现代商业中数据驱动决策的指数级增长激发了市场情报(MI)在产业界和学术界的引力。因此,过去几十年来,大量文献对市场情报领域产生了重大影响。本研究通过仔细分析以往的文献并绘制相关研究构成图,做出了学术贡献。通过对 293 篇文章进行文献计量学透视,我们发现过去几十年来发表的论文数量明显增加。在管理信息系统文献中,最受关注的地区是英国,其次是美国;但是,发表论文最多的机构是瑞典。此外,详细的关键词分析使研究更上一层楼,确定了六个关键研究主题,包括 "战略决策情报"、"市场营销与销售"、"创业动力与新兴市场"、"动态环境中的战略导航"、"整体产品开发、研究与创新"、"信息系统与知识管理",以及 13 个未来研究问题。本研究为研究人员提供了有关管理信息系统的学术地位、未来研究方向的统计和可视化总结,并为营销分析从业人员提供了在全面、高效的营销决策支持系统中实施管理信息系统的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Research trends in market intelligence: a review through a data-driven quantitative approach

Research trends in market intelligence: a review through a data-driven quantitative approach

The exponential growth of data-driven decision-making in modern business stimulates the gravity of market intelligence (MI) in both industry and academia. Consequently, the field of MI has been significantly influenced by a substantial body of literature over the past few decades. The study makes a scholarly contribution by carefully analyzing the previous literature and plotting relevant research constituents. Employing a bibliometric lens to 293 articles, we found a notable increase in the number of publications over last few decades. The United Kingdom, followed by the United States, received the most attention as a region in the MI literature; however, the most prolific institution is located in Sweden. Besides, a detailed keyword analysis takes the study to the next level, identifying six key research themes, including ‘strategic decision intelligence,’ ‘marketing and sales,’ ‘entrepreneurial dynamics and emerging markets,’ ‘strategic navigations in dynamic environments,’ ‘holistic product development, research and innovation,’ and ‘information systems and knowledge management,’ and 13 future research questions. The study lends a hand to researchers providing a statistical and visual summary of MI’s scholarly status, future research direction, and marketing analytics practitioners by offering insights on implementing MI in a holistic and efficient marketing decision-support system.

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来源期刊
CiteScore
5.40
自引率
16.70%
发文量
46
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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