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Identifying research topics in marketing science along the past decade: a content analysis

Author

Listed:
  • Igor Barahona

    (Universidad Nacional Autónoma de México, Cátedras CONACYT)

  • Daría Micaela Hernández

    (Universitat Politècnica de Catalunya - BarcelonaTech)

  • Héctor Hugo Pérez-Villarreal

    (Universidad Popular Autónoma del Estado de Puebla)

  • María Pilar Martínez-Ruíz

    (Universidad de Castilla - La Mancha)

Abstract

In recent years, how marketing science is conceptualized has changed, as have the methods through which data are investigated. This reconceptualization is making a significant impact on the most important topics of this discipline. Here, a novel approach is used to analyse a collection of 1169 abstracts from articles published in the Journal of Marketing Research and the Journal of Marketing from 2005 to 2014. We apply statistical methods to answer the following questions: How is vocabulary commonly used in marketing science? What are the most relevant topics of these journals? Which articles are the most influential? What words do authors prefer? Is the consumer among the primary topics in marketing research? A set of easy-to-read visual representations are provided to answer these questions. We highlight two main findings: (i) consumers and customers are the main topics of these marketing research journals, which emphasizes the growing interest in consumers and consumer behaviour as the core of both brick-and-mortar and online businesses; and (ii) in contrast to previous periods, product has become an essential concept, perhaps due to the emergence of new product considerations and new and enhanced interrelations.

Suggested Citation

  • Igor Barahona & Daría Micaela Hernández & Héctor Hugo Pérez-Villarreal & María Pilar Martínez-Ruíz, 2018. "Identifying research topics in marketing science along the past decade: a content analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 293-312, October.
  • Handle: RePEc:spr:scient:v:117:y:2018:i:1:d:10.1007_s11192-018-2851-2
    DOI: 10.1007/s11192-018-2851-2
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    References listed on IDEAS

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    1. Loet Leydesdorff & Félix de Moya-Anegón & Vicente P. Guerrero-Bote, 2010. "Journal maps on the basis of Scopus data: A comparison with the Journal Citation Reports of the ISI," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(2), pages 352-369, February.
    2. Kolbe, Richard H & Burnett, Melissa S, 1991. "Content-Analysis Research: An Examination of Applications with Directives for Improving Research Reliability and Objectivity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 18(2), pages 243-250, September.
    3. Jochen Gläser & Wolfgang Glänzel & Andrea Scharnhorst, 2017. "Same data—different results? Towards a comparative approach to the identification of thematic structures in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 981-998, May.
    4. Feinerer, Ingo & Hornik, Kurt & Meyer, David, 2008. "Text Mining Infrastructure in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i05).
    5. Juha Karvanen & Ari Rantanen & Lasse Luoma, 2013. "Survey data and Bayesian analysis: a cost-efficient way to estimate customer equity," Papers 1304.5380, arXiv.org, revised May 2014.
    6. Pengyuan Wang & Eric Bradlow & Edward George, 2014. "Meta-analyses using information reweighting: An application to online advertising," Quantitative Marketing and Economics (QME), Springer, vol. 12(2), pages 209-233, June.
    7. Chencheng Fang & Jiantong Zhang & Wei Qiu, 2017. "Online classified advertising: a review and bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1481-1511, December.
    8. Tomaz Bartol & Karmen Stopar, 2015. "Nano language and distribution of article title terms according to power laws," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 435-451, May.
    9. Christian Weismayer & Ilona Pezenka, 2017. "Identifying emerging research fields: a longitudinal latent semantic keyword analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1757-1785, December.
    10. Lê, Sébastien & Josse, Julie & Husson, François, 2008. "FactoMineR: An R Package for Multivariate Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i01).
    11. Juha Karvanen & Ari Rantanen & Lasse Luoma, 2014. "Survey data and Bayesian analysis: a cost-efficient way to estimate customer equity," Quantitative Marketing and Economics (QME), Springer, vol. 12(3), pages 305-329, September.
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    1. Héctor Hugo Pérez-Villarreal & María Pilar Martínez-Ruiz & Alicia Izquierdo-Yusta & Carmen María Gómez-Cantó, 2020. "Food Values, Benefits and Their Influence on Attitudes and Purchase Intention: Evidence Obtained at Fast-Food Hamburger Restaurants," Sustainability, MDPI, vol. 12(18), pages 1-15, September.
    2. Manoj Kumar Verma & Daud Khan & Mayank Yuvaraj, 2023. "Scientometric assessment of funded scientometrics and bibliometrics research (2011–2021)," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4305-4320, August.

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