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Text data-driven new product development: a systematic mapping review

Navid Mohammadi (University of Tehran, Tehran, Iran)
Nader Seyyedamiri (Department of Corporate Entrepreneurship, Faculty of Entrepreneurship, University of Tehran, Tehran, Iran)
Saeed Heshmati (University of Tehran, Tehran, Iran)

Nankai Business Review International

ISSN: 2040-8749

Article publication date: 17 November 2022

Issue publication date: 23 November 2023

138

Abstract

Purpose

The purpose of this study/paper is conducting a Systematic mapping review, as a systematic literature review method for reviewing the literature of new product development by textmining and mapping the results of this review.

Design/methodology/approach

This research has been conducted with the aim of systematically reviewing the literature on the field of design and development of products based on textual data. This research wants to know, how text data and text mining methods, can use for the design and development of new products.

Findings

This review finds out what are the most popular algorithms in this field? What are the most popular areas in using these approaches? What types of data are used in this area? What software is used in this regard? And what are the research gaps in this area?

Originality/value

The contribution of this review is creating a macro and comprehensive map for research in this field of study from various aspects and identifying the pros and cons of this field of study by systematic mapping review.

Keywords

Citation

Mohammadi, N., Seyyedamiri, N. and Heshmati, S. (2023), "Text data-driven new product development: a systematic mapping review", Nankai Business Review International, Vol. 14 No. 4, pp. 595-625. https://doi.org/10.1108/NBRI-04-2021-0029

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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