Pasquale Del Vecchio, Gioconda Mele, G. Passiante, Donata Serra
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引用次数: 1
Abstract
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.
期刊介绍：
Knowledge management is a term that has worked its way into the mainstream of both academic and business arenas since it was first coined in the 1980s. Interest has increased rapidly during the last decade and shows no signs of abating. The current state of the knowledge management field is that it encompasses four overlapping areas: •Managing knowledge (creating/acquiring, sharing, retaining, storing, using, updating, retiring) •Organisational learning •Intellectual capital •Knowledge economics Within (and across) these, knowledge management has to address issues relating to technology, people, culture and systems.
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