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神经营销研究趋势与影响的文献计量分析:洞察消费者大脑

A Bibliometric Analysis of the Trends and Impact of Neuromarketing Research: Peering Into the Consumer Brain.

作者信息

S Lekshmi, Joseph Melby, Simon Bobby, Joseph Sibichan, Jacob Gibin, Lukose Alan

机构信息

Research and PG Department of Commerce, Government College Attingal, Attingal, IND.

Department of Business Administration, Marian College Kuttikkanam Autonomous, Kuttikkanam, IND.

出版信息

Cureus. 2024 Sep 13;16(9):e69314. doi: 10.7759/cureus.69314. eCollection 2024 Sep.

Abstract

Neuromarketing is the application of neuroscience and cognitive science to understand and influence consumer behavior and the different underlying decision-making processes. This neuromarketing bibliometric study uses Scopus for bibliographic data and Biblioshiny and Citespace for the overall analysis. Annual scientific production is considered to outline some general lines of critical trends in volume over time. It provides an overview of the most relevant authors and their contributions and creates co-citation networks with the cited authors to identify influential researchers and collaborative networks. Sources that are most relevant to the discussion, together with co-citation patterns, show important articles and journals. Mapping countries' scientific production and collaboration show the manifold contributions of single countries to global research and how some topics can be created out of cooperation. Trend topics were analyzed to detect emerging research themes; factorial analysis helped in the actual clustering of the research topics. It identifies keywords with the most robust citation bursts, meaning times of the most concentrated research activity and emerging areas of interest. The research identifies gaps and produces some practical implications, putting forward a roadmap for future research directions and the necessity of advanced computational techniques in neuromarketing research.

摘要

神经营销是应用神经科学和认知科学来理解和影响消费者行为以及不同的潜在决策过程。这项神经营销文献计量学研究使用Scopus获取文献数据,并使用Biblioshiny和Citespace进行全面分析。考虑年度科研产出以勾勒出随着时间推移在数量上一些关键趋势的大致脉络。它概述了最相关的作者及其贡献,并与被引作者创建共被引网络以识别有影响力的研究人员和合作网络。与讨论最相关的来源以及共被引模式展示了重要的文章和期刊。绘制各国的科研产出与合作情况展示了单个国家对全球研究的多种贡献以及如何通过合作产生一些主题。对趋势主题进行分析以检测新兴研究主题;因子分析有助于对研究主题进行实际聚类。它识别出具有最强引用爆发的关键词,即研究活动最集中的时期以及新兴的感兴趣领域。该研究识别出差距并产生一些实际影响,为未来研究方向提出路线图以及神经营销研究中先进计算技术的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00c1/11471006/15773ceb5e35/cureus-0016-00000069314-i01.jpg

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