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A text mining and topic modelling perspective of ethnic marketing research

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  • Moro, Sérgio
  • Pires, Guilherme
  • Rita, Paulo
  • Cortez, Paulo

Abstract

This study presents an enhanced automated approach based on literature analysis and synthesis for establishing the dimensions of the ethnic marketing literature, covering a set of 239 journal articles published by nine major publishers. The approach reported is enhanced by two novel procedures to address previously identified limitations, namely: definition of a relevant dictionary based on both a sufficient lexicon extracted from a definition of the core theme and a conditional dictionary, with related but non-core terms; and a visually appealing pictorial representation to summarize the discovered topics. The application of the method to ethnic marketing indicates that ethnic marketing research is characterized by high conceptual heterogeneity, although a clear definition of “ethnic marketing” is imperative for research development. Overall, the paper advances an approach with considerable scalability advantages when compared with extant approaches, an important issue to consider when textual sources become big data.

Suggested Citation

  • Moro, Sérgio & Pires, Guilherme & Rita, Paulo & Cortez, Paulo, 2019. "A text mining and topic modelling perspective of ethnic marketing research," Journal of Business Research, Elsevier, vol. 103(C), pages 275-285.
    • Handle: RePEc:eee:jbrese:v:103:y:2019:i:c:p:275-285
    DOI: 10.1016/j.jbusres.2019.01.053
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    1. A. Abrizah & A. N. Zainab & K. Kiran & R. G. Raj, 2013. "LIS journals scientific impact and subject categorization: a comparison between Web of Science and Scopus," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 721-740, February.
    2. Engelen, Andreas & Brettel, Malte, 2011. "Assessing cross-cultural marketing theory and research," Journal of Business Research, Elsevier, vol. 64(5), pages 516-523, May.
    3. Moro, Sérgio & Rita, Paulo & Vala, Bernardo, 2016. "Predicting social media performance metrics and evaluation of the impact on brand building: A data mining approach," Journal of Business Research, Elsevier, vol. 69(9), pages 3341-3351.
    4. Engelen, Andreas & Brettel, Malte, 2011. "Assessing cross-cultural marketing theory and research: Reply to Craig and Douglas' commentary," Journal of Business Research, Elsevier, vol. 64(7), pages 782-784, July.
    5. Cleveland, Mark & Laroche, Michel & Papadopoulos, Nicolas, 2015. "You are what you speak? Globalization, multilingualism, consumer dispositions and consumption," Journal of Business Research, Elsevier, vol. 68(3), pages 542-552.
    6. Henderson, Geraldine Rosa & Guzmán, Francisco & Huff, Lenard & Motley, Carol M., 2013. "The Ian's pizza tribe: Reconceptualizing cross-cultural research in the digital age," Journal of Business Research, Elsevier, vol. 66(3), pages 283-287.
    7. João Guerreiro & Paulo Rita & Duarte Trigueiros, 2016. "A Text Mining-Based Review of Cause-Related Marketing Literature," Journal of Business Ethics, Springer, vol. 139(1), pages 111-128, November.
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    6. Mohamed M. Mostafa, 2023. "A one-hundred-year structural topic modeling analysis of the knowledge structure of international management research," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3905-3935, August.
    7. Mara Cerquetti & Domenico Sardanelli & Concetta Ferrara, 2024. "Measuring museum sustainability within the framework of institutional theory: A dictionary‐based content analysis of French and British National Museums' annual reports," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(3), pages 2260-2276, May.
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    13. Chatzopoulou, Elena & Navazhylava, Kseniya, 2022. "Ethnic brand identity work: Responding to authenticity tensions through celebrity endorsement in brand digital self-presentation," Journal of Business Research, Elsevier, vol. 142(C), pages 974-987.
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