This study aims to provide a contribution to the systematisation of the state-of-the art of the literature on Big Data for the process of New Product Development (NPD). Based on the evidence of a structured literature review (SLR) on articles published from 2015 to 2021, the paper aims to identify new areas for future research, by highlighting the contribution of Big Data in the perspective of knowledge management for the improvement of the new product development process. Findings demonstrate a lack of research in this field and the fragmentation of the publications that require more in-depth investigation. The analysis allows the identification of quantitative and qualitative evidence of the research trends emerging at the intersection of the two well-known areas and to derive several implications both for research and practice.
Knowledge generation from Big Data for new product development: a structured literature review
Del Vecchio, P
;Mele, G;Passiante, G;Serra, D
2022-01-01
Abstract
This study aims to provide a contribution to the systematisation of the state-of-the art of the literature on Big Data for the process of New Product Development (NPD). Based on the evidence of a structured literature review (SLR) on articles published from 2015 to 2021, the paper aims to identify new areas for future research, by highlighting the contribution of Big Data in the perspective of knowledge management for the improvement of the new product development process. Findings demonstrate a lack of research in this field and the fragmentation of the publications that require more in-depth investigation. The analysis allows the identification of quantitative and qualitative evidence of the research trends emerging at the intersection of the two well-known areas and to derive several implications both for research and practice.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
