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Discovering prominent themes of the application of eye tracking technology in marketing research

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  • Muñoz Leiva, Francisco
  • Rodríguez López, María Eugenia
  • García Martí, Bárbara

Abstract

[EN] This study shows the main results of a bibliometric analysis of academic research that has applied eye tracking technology in the marketing discipline, drawing from 923 documents extracted from the WoS bibliographic data-base. The aims of the study are to (i) identify the structure of the relationships between past and current research topics, (ii) provide a longitudinal perspective on eye tracking as a research tool for academics, covering the period 1992-2020, and (iii) identify emerging research trends for the future. Among other results, we find that the eye tracking methodology has been applied in marketing research particularly over the last decade due to scholarly interest in studying the visual attention of consumers and users in behavioral studies. More broadly, over the last 30 years, there are five major thematic areas identified: (a) brand-attention-modeling, (b) eye tracking-movements-communication, (c) web-online, (d) HCI-gaze-perception and (e) choice-labeling. The work is the first to identify the structure of the relationships between past and current research topics, and to predict future research trends in the marketing scholarship applying eye tracking as a research tool. Some limitations and potential future research themes are discussed at the end of the paper.

Suggested Citation

  • Muñoz Leiva, Francisco & Rodríguez López, María Eugenia & García Martí, Bárbara, 2022. "Discovering prominent themes of the application of eye tracking technology in marketing research," Cuadernos de Gestión, Universidad del País Vasco - Instituto de Economía Aplicada a la Empresa (IEAE).
    • Handle: RePEc:ehu:cuader:55441
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    1. Ying Yang & Mingzhi Wu & Lei Cui, 2012. "Integration of three visualization methods based on co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 659-673, February.
    2. M.J. Cobo & A.G. López‐Herrera & E. Herrera‐Viedma & F. Herrera, 2012. "SciMAT: A new science mapping analysis software tool," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(8), pages 1609-1630, August.
    3. Cobo, M.J. & López-Herrera, A.G. & Herrera-Viedma, E. & Herrera, F., 2011. "An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field," Journal of Informetrics, Elsevier, vol. 5(1), pages 146-166.
    4. van Eck, N.J.P. & Waltman, L., 2009. "How to Normalize Co-Occurrence Data? An Analysis of Some Well-Known Similarity Measures," ERIM Report Series Research in Management ERS-2009-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    5. Erjia Yan & Ying Ding, 2010. "Weighted citation: An indicator of an article's prestige," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(8), pages 1635-1643, August.
    6. Leone, Robert P. & Robinson, Larry M. & Bragge, Johanna & Somervuori, Outi, 2012. "A citation and profiling analysis of pricing research from 1980 to 2010," Journal of Business Research, Elsevier, vol. 65(7), pages 1010-1024.
    7. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    8. Espigares-Jurado, Francisco & Muñoz-Leiva, Francisco & Correia, Marisol B. & Sousa, Carlos M.R. & Ramos, Célia M.Q. & Faísca, Luís, 2020. "Visual attention to the main image of a hotel website based on its position, type of navigation and belonging to Millennial generation: An eye tracking study," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    9. Rumpf, Christopher & Boronczyk, Felix & Breuer, Christoph, 2020. "Predicting consumer gaze hits: A simulation model of visual attention to dynamic marketing stimuli," Journal of Business Research, Elsevier, vol. 111(C), pages 208-217.
    10. Henry Small, 1973. "Co‐citation in the scientific literature: A new measure of the relationship between two documents," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 24(4), pages 265-269, July.
    11. Leon Zurawicki, 2010. "Exploring the Brain," Springer Books, in: Neuromarketing, chapter 0, pages 1-53, Springer.
    12. Erjia Yan & Ying Ding, 2010. "Weighted citation: An indicator of an article's prestige," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(8), pages 1635-1643, August.
    13. Wolfgang Glänzel, 2015. "Bibliometrics-aided retrieval: where information retrieval meets scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2215-2222, March.
    14. M.J. Cobo & A.G. López-Herrera & E. Herrera-Viedma & F. Herrera, 2012. "SciMAT: A new science mapping analysis software tool," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(8), pages 1609-1630, August.
    15. del Barrio-García, Salvador & Muñoz-Leiva, Francisco & Golden, Linda, 2020. "A review of comparative advertising research 1975–2018: Thematic and citation analyses," Journal of Business Research, Elsevier, vol. 121(C), pages 73-84.
    16. Thales S. Teixeira & Michel Wedel & Rik Pieters, 2010. "Moment-to-Moment Optimal Branding in TV Commercials: Preventing Avoidance by Pulsing," Marketing Science, INFORMS, vol. 29(5), pages 783-804, 09-10.
    17. Nees Jan van Eck & Ludo Waltman, 2009. "How to normalize cooccurrence data? An analysis of some well‐known similarity measures," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(8), pages 1635-1651, August.
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    1. Aroa Costa-Feito & Ana M. González-Fernández & Carmen Rodríguez-Santos & Miguel Cervantes-Blanco, 2023. "Electroencephalography in consumer behaviour and marketing: a science mapping approach," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.

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