Does combining analytical and synthetic knowledge benefit eco‐innovation? Evidence from Norway

互补性(分子生物学) 合成数据 知识管理 计算机科学 人工智能 生物 遗传学
作者
Faraimo Jay Vai
出处
期刊:Business Strategy and The Environment [Wiley]
卷期号:33 (6): 4977-4989
标识
DOI:10.1002/bse.3734
摘要

Abstract Analytical or synthetic knowledge is widely considered beneficial for eco‐innovation (EI). For a firm, analytical and synthetic knowledge can be acquired externally through collaboration with various partners or generated internally through R&D and other internal firm activities. However, evidence supporting the assumption that both forms of knowledge are complementary and that “doing more of all” will benefit EI is unclear. We found that external analytical and synthetic knowledge and internal analytical and synthetic knowledge all positively affect EI, with internal analytical being the most prominent. However, combining analytical and synthetic knowledge may not be beneficial for EI. The interaction between analytical and external synthetic knowledge is generally substitutive. We found a particularly significant substitutive effect between internal analytical and internal synthetic knowledge, as well as between internal analytical and external synthetic knowledge. In short, we found little evidence of complementarity between analytical and synthetic knowledge, regardless of where it is acquired from. These findings advise caution to firm managers and policymakers who are considering strategies to combine different forms of knowledge from different sources to successfully achieve EI goals.

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
木子李完成签到,获得积分10
1秒前
菠萝炒饭发布了新的文献求助20
1秒前
2秒前
你好完成签到,获得积分10
2秒前
2秒前
青藤完成签到,获得积分10
3秒前
烟味完成签到,获得积分10
4秒前
4秒前
爆米花应助tough采纳,获得20
4秒前
rputation完成签到,获得积分10
4秒前
5秒前
zh完成签到,获得积分10
6秒前
勤奋书包完成签到,获得积分10
7秒前
8秒前
爱撒娇的靖雁完成签到,获得积分10
9秒前
9秒前
777发布了新的文献求助10
9秒前
10秒前
jessicaw发布了新的文献求助10
10秒前
408443733完成签到,获得积分10
10秒前
chen完成签到,获得积分10
10秒前
黑神话发布了新的文献求助10
13秒前
郭哈哈完成签到,获得积分10
13秒前
qing1245完成签到,获得积分10
14秒前
灵巧乐儿发布了新的文献求助10
14秒前
不要晚安的寒流完成签到,获得积分10
15秒前
慕青应助wushangyu采纳,获得10
16秒前
冯冯完成签到 ,获得积分10
16秒前
哈哈完成签到,获得积分10
17秒前
18秒前
19秒前
勤恳的依珊完成签到,获得积分10
20秒前
科研通AI6.1应助liu采纳,获得30
20秒前
21秒前
22秒前
马克董完成签到,获得积分20
22秒前
凯哥跳大神完成签到,获得积分10
23秒前
25秒前
Lucifer·闪电完成签到,获得积分10
25秒前
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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
How to Design and Conduct an Experiment and Write a Lab Report: Your Complete Guide to the Scientific Method (Step-by-Step Study Skills) 333
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 6363443
求助须知:如何正确求助?哪些是违规求助? 8177381
关于积分的说明 17232600
捐赠科研通 5418590
什么是DOI,文献DOI怎么找? 2867088
邀请新用户注册赠送积分活动 1844316
关于科研通互助平台的介绍 1691850