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Discovering ethnic minority business research directions using text mining and topic modelling

Sérgio Moro (Instituto Universitário de Lisboa (ISCTE-IUL), ISTAR-IUL, Lisboa, Portugal)
Guilherme Pires (Faculty of Business and Law, Newcastle Business School, University of Newcastle, Callaghan, Australia)
Paulo Rita (NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Lisboa, Portugal)
Paulo Cortez (ALGORITMI Research Centre, University of Minho, Guimarães, Portugal)
Ricardo F. Ramos (Instituto Politécnico de Coimbra, ESTGOH, Oliveira do Hospital, Portugal; Instituto Universitário de Lisboa (ISCTE-IUL), ISTAR, Lisboa, Portugal and CICEE – Centro de Investigação em Ciências Económicas e Empresariais, Universidade Autonoma de Lisboa, Lisboa, Portugal)

Journal of Research in Marketing and Entrepreneurship

ISSN: 1471-5201

Article publication date: 11 October 2022

Issue publication date: 2 January 2023

101

Abstract

Purpose

This study aims to unveil within the current academic literature the principal directions in the ethnic entrepreneurship and small business marketing research context.

Design/methodology/approach

An automated literature analysis procedure was undertaken, attempting to cover all literature published on the subject since 1962. A total of 188 articles were analysed using text mining and topic modelling.

Findings

The results show a lack of framing of ethnic entrepreneurship literature outside the narrower scope of migration. Some core themes were found (e.g. network, diversity) around which several other themes orbit, including both related issues to the ethnic factor (e.g. barriers and minorities) and managerial issues (e.g. marketing and production).

Originality/value

Ethnic minority business and small business marketing research has seen a growing number of publications. However, a careful review of existing work is missing.

Keywords

Citation

Moro, S., Pires, G., Rita, P., Cortez, P. and Ramos, R.F. (2023), "Discovering ethnic minority business research directions using text mining and topic modelling", Journal of Research in Marketing and Entrepreneurship, Vol. 25 No. 1, pp. 83-102. https://doi.org/10.1108/JRME-01-2022-0004

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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