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Accounting & Marketing

ISSN: 2168-9601

Open Access

L. Marin

Department of Marketing, University of Murcia, Murcia, Spain

Publications
  • Mini Review   
    A Text Mining and Theme Displaying Based Writing Investigation
    Author(s): L. Marin*

    Given the interest in big Data in marketing research, we present a semi-automated text mining-based research literature analysis with the aim of identifying the main trends in this field. In particular, the analysis focuses on five relevant dimensions and terms: Marketing, big data, the countries and continents of authors' affiliation, products and industries 1560 published articles from were examined in total. Big Data publications did not clearly align cutting edge marketing techniques with benefits, indicating that research is bipartite between technological and research domains. Additionally, there were only a few publications with co-authors across continents. Additionally, the findings indicate that big Data applications to marketing research are still in its infancy. As a result, for Big Data to thrive in marketing, more focused efforts toward business must .. Read More»
    DOI: 10.37421/2168-9601.2022.11.386

    Abstract HTML PDF

Google Scholar citation report
Citations: 487

Accounting & Marketing received 487 citations as per Google Scholar report

Accounting & Marketing peer review process verified at publons

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