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Industrial Engineering & Management

ISSN: 2169-0316

Open Access

L. Marin

Department of Marketing, University of Murcia, Murcia, Spain

Publications
  • Mini Review   
    Applications of Text Mining in the Construction Sector
    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: 10.37421/2169-0316.2022.11.181

    Abstract HTML PDF

Google Scholar citation report
Citations: 739

Industrial Engineering & Management received 739 citations as per Google Scholar report

Industrial Engineering & Management peer review process verified at publons

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