Knowledge generation from Big Data for new product development: a structured literature review

IF 3.2 4区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Knowledge Management Research & Practice Pub Date : 2022-07-28 DOI:10.1080/14778238.2022.2094292

Pasquale Del Vecchio, Gioconda Mele, G. Passiante, Donata Serra

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.

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新产品开发中的大数据知识生成:结构化文献综述

摘要本研究旨在为新产品开发（NPD）过程中的大数据文献的系统化提供贡献。基于对2015年至2021年发表的文章的结构化文献综述（SLR）的证据，本文旨在通过强调知识管理视角下的大数据对改进新产品开发过程的贡献，确定未来研究的新领域。调查结果表明，该领域缺乏研究，出版物零散，需要更深入的调查。该分析可以确定这两个著名领域交叉点出现的研究趋势的定量和定性证据，并得出对研究和实践的一些启示。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Knowledge Management Research & Practice Multiple-

CiteScore

7.00

自引率

15.60%

发文量

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.