How does Knowledge Search Influence Enterprise Innovation Performance? A Literature Review and Prospects

作者
Jiangfeng Ye,Shan Chen,Bin Hao
出处
期刊:Foreign Economics & Management 卷期号:42 (03): 17-34 被引量:4
标识
DOI:10.16538/j.cnki.fem.20191216.001
摘要

The mechanism of knowledge search facilitating enterprise innovation performance has always been the core issue in the fields of knowledge management, innovation management and strategic management. Actually, more than half of articles in the field of knowledge search research focus on discussing the topic of how knowledge search affects enterprise innovation performance, especially after the year of 2012. However, the existing research has not conducted a systematic and comprehensive literature review of a large amount of articles regarding the topic. Therefore, this study presents a systematic literature review for the topic of how knowledge search affects enterprise innovation performance, covering 95 scholarly articles published between 2001 and 2018. Based on the analysis, we provide the shortcomings of existing research results and suggest promising directions for future investigation. Firstly, this study systematically demonstrates the conception, dimensions and measurement methods of knowledge search. Secondly, based on different dimensions of knowledge search, it reviews the influencing mechanism of different types of knowledge search on enterprise innovation performance(including the positive, negative and inverted U-shaped effects). Thirdly, it summarizes the ambidexterity effects(complementary and balanced)of knowledge search and the portfolio effects of the tactics of multidimensional knowledge search on enterprise innovation performance. Fourthly, it fully combs the moderating and mediating effects on the relationship between knowledge search and enterprise innovation performance. Finally, it constructs an integrative framework for the influencing mechanism of knowledge search on enterprise innovation performance, and proposes limitations of current research and five possible directions of future research:(1)The evolution of regularization in knowledge search behavior and its dynamic mechanisms on enterprise innovation performance need to be revealed;(2)The extension of the ambidexterity theory in the research field of knowledge search affecting enterprise innovation performance remains to be improved;(3)The impact of multi-dimensional knowledge search on enterprise innovation performance requires to be expanded;(4)The mediating mechanism of knowledge search affecting enterprise innovation performance should be deepened;(5)Research on knowledge search influencing enterprise innovation performance in the context of China’s special situation and the emergence of new information technology is worth exploring. This paper clarifies the research status of how knowledge search affects enterprise innovation performance, and provides a foundation for the follow-up research in this field.

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
刚刚
算我运气好完成签到,获得积分10
1秒前
俭朴的若雁完成签到,获得积分10
1秒前
清河剑客完成签到,获得积分20
1秒前
无私的遥发布了新的文献求助10
1秒前
2秒前
2秒前
uery完成签到,获得积分10
3秒前
Jasper的应助被小丁采纳,获得10
3秒前
迷路吐司完成签到,获得积分10
3秒前
chenfeng发布了新的文献求助10
4秒前
5秒前
ZZzz发布了新的文献求助10
5秒前
5秒前
酷炫的小鸽子完成签到,获得积分10
5秒前
6秒前
7秒前
包容明辉完成签到 ,获得积分10
7秒前
科研通AI6.2的应助被zhangxiaoru采纳,获得10
7秒前
lhcj发布了新的文献求助10
8秒前
柒兜兜发布了新的文献求助10
9秒前
坚强的哈密瓜完成签到,获得积分10
9秒前
9秒前
9秒前
诚心的冰海完成签到,获得积分10
9秒前
saiki完成签到,获得积分10
10秒前
10秒前
10秒前
FU完成签到,获得积分10
10秒前
情怀的应助被爱吃大嘴巴采纳,获得10
11秒前
新贵发布了新的文献求助10
11秒前
11秒前
小透就是冬冬完成签到,获得积分10
11秒前
江雯君发布了新的文献求助10
11秒前
12秒前
1mo发布了新的文献求助10
12秒前
香蕉觅云的应助被tingtingliuok采纳,获得10
13秒前
14秒前
汉堡包的应助被哩哩采纳,获得10
14秒前
hyc发布了新的文献求助10
16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
Energie-Contracting 1500
Klimaschutzrecht durch den Energiesektor im Mehrebenensystem – Ein Rechtsvergleich 1000
Oncology Clinical Trials: Successful Design, Conduct, and Analysis, Second Edition 800
Stochastic Models in Operations Research,Vol. 2 600
Organizational Behavior 510
桑白皮エキスの実験的, 臨床的育毛効果について 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8044526
求助须知:如何正确求助?哪些是违规求助? 9476211
关于积分的说明 21282869
捐赠科研通 7612158
什么是DOI,文献DOI怎么找? 3392016
关于科研通互助平台的介绍 2523620
邀请新用户注册赠送积分活动 2429957