Effects of inventive capabilities on new product development performance: the knowledge combination view

独创性 新产品开发 过程(计算) 产品(数学) 汽车工业 知识管理 计算机科学 制造工程 业务 工程类 营销 数学 创造力 航空航天工程 操作系统 法学 政治学 几何学
作者
Luyun Xu,Xin Yin,Hong Gong,Deming Zeng
出处
期刊:Journal of Manufacturing Technology Management [Emerald Publishing Limited]
卷期号:33 (7): 1277-1300 被引量:3
标识
DOI:10.1108/jmtm-12-2021-0504
摘要

Purpose A firm's inventions provide technical information for product planning and technical support for new product development (NPD). In the knowledge-based theory, inventing is regarded as a process of knowledge combination. This paper aims to classify the firm's inventive capabilities based on the combinatorial view and investigate the effects of inventive capabilities on NPD performance. Design/methodology/approach Four types of inventive capabilities are identified concerned with the knowledge used to combine in the inventive activities. By utilizing a dataset of 572 firms from China's automotive manufacturing industry, the roles of different inventive activities in the generation of new inventions are compared. Then the effects of different inventive capabilities on NPD performance are empirically examined by using negative binomial regression analysis. Findings The time series for the number of patented inventions derived from different types of combinations generally exhibits a steady upward trend, and the number of patents derived from recombination is much higher. The empirical results demonstrate that the inventive capabilities associated with reused recombination and creative recombination exhibit positive effects on NPD performance, and the inventive capabilities associated with novel combination and original combination exhibit non-linear effects on NPD performance. Originality/value The findings contribute to NPD literature by investigating the effects of different inventive capabilities on NPD performance. This study also provides guidelines for manufacturing managers to improve NPD performance by building appropriate inventive capabilities.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
Hello应助Ssyong采纳,获得10
1秒前
miemie发布了新的文献求助30
2秒前
2秒前
凶狠的幻丝完成签到,获得积分10
2秒前
5秒前
摆烂ing完成签到,获得积分10
5秒前
茉莉完成签到 ,获得积分10
6秒前
6秒前
6秒前
ZMH完成签到,获得积分10
7秒前
哒哒哒发布了新的文献求助10
8秒前
8秒前
8秒前
EnzeLu发布了新的文献求助10
9秒前
gcr66发布了新的文献求助10
11秒前
JamesPei应助不想睡觉采纳,获得10
11秒前
hhh完成签到,获得积分10
11秒前
旺仔发布了新的文献求助10
11秒前
jiejuezero完成签到,获得积分10
13秒前
灵巧书蝶完成签到,获得积分10
14秒前
16秒前
16秒前
李一鹏完成签到,获得积分10
17秒前
灵巧书蝶发布了新的文献求助10
18秒前
gcr66完成签到,获得积分10
18秒前
笑傲江湖完成签到,获得积分10
19秒前
陈平安发布了新的文献求助10
21秒前
浮浮世世完成签到,获得积分10
22秒前
23秒前
618618完成签到,获得积分20
23秒前
23秒前
小蘑菇应助可乐采纳,获得30
23秒前
chengsi完成签到,获得积分10
24秒前
25秒前
Jasper应助Normally采纳,获得10
25秒前
25秒前
si完成签到,获得积分10
25秒前
小假发布了新的文献求助10
26秒前
隆晓完成签到,获得积分10
26秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
晶种分解过程与铝酸钠溶液混合强度关系的探讨 8888
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
Leading Academic-Practice Partnerships in Nursing and Healthcare: A Paradigm for Change 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6430300
求助须知:如何正确求助?哪些是违规求助? 8246304
关于积分的说明 17536599
捐赠科研通 5486641
什么是DOI,文献DOI怎么找? 2895841
邀请新用户注册赠送积分活动 1872303
关于科研通互助平台的介绍 1711807