Scientific journal paper Q1
A text mining and topic modelling perspective of ethnic marketing research
Sérgio Moro (Moro, S.); Guilherme Pires (Pires, G.); Paulo Rita (Rita, P.); Paulo Cortez (Cortez, P.);
Journal Title
Journal of Business Research
Year (definitive publication)
2019
Language
English
Country
United States of America
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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.
Acknowledgements
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Keywords
Ethnic marketing,Filtering dictionaries,Literature analysis and synthesis,Literature dimensions,Text mining,Topic modelling
  • Economics and Business - Social Sciences
  • Social and Economic Geography - Social Sciences
Funding Records
Funding Reference Funding Entity
UID/MULTI/0446/2013 Fundação para a Ciência e a Tecnologia
UID/PSI/03125/2013 Fundação para a Ciência e a Tecnologia

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