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

Navid Mohammadi, Nader Seyyedamiri and Saeed Heshmati

Nankai Business Review International, 2022, vol. 14, issue 4, 595-625

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: Text mining; New product development; New product design; Data-driven NPD (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eme:nbripp:nbri-04-2021-0029

DOI: 10.1108/NBRI-04-2021-0029

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