已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

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
朱颖发布了新的文献求助10
刚刚
月未见明完成签到 ,获得积分10
刚刚
刚刚
1秒前
molihuakai应助失眠的大侠采纳,获得10
2秒前
五十完成签到,获得积分20
2秒前
熊有鹏完成签到,获得积分20
3秒前
米龙完成签到,获得积分10
3秒前
今后应助老大黎明采纳,获得10
3秒前
3秒前
4秒前
我是老大应助haha采纳,获得10
6秒前
花海发布了新的文献求助10
7秒前
隐形曼青应助tzl采纳,获得10
7秒前
丘比特应助bingo采纳,获得10
7秒前
小马甲应助小涵采纳,获得10
9秒前
FashionBoy应助FrozenMask采纳,获得10
10秒前
yifi发布了新的文献求助10
10秒前
自信甜瓜发布了新的文献求助10
10秒前
诚洁完成签到 ,获得积分10
11秒前
爆米花应助爱听歌笑寒采纳,获得10
12秒前
乐羽乐发布了新的文献求助10
13秒前
Ghiocel完成签到,获得积分10
14秒前
wz完成签到 ,获得积分10
14秒前
Epiphany_wts完成签到,获得积分10
14秒前
14秒前
tzl完成签到,获得积分20
15秒前
庆庆完成签到 ,获得积分10
16秒前
16秒前
17秒前
18秒前
直率雨柏发布了新的文献求助10
19秒前
潘果果完成签到,获得积分10
20秒前
蓬蓬完成签到,获得积分10
20秒前
20秒前
老大黎明发布了新的文献求助10
20秒前
21秒前
21秒前
小涵发布了新的文献求助10
22秒前
Rita发布了新的文献求助10
23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
Picture this! Including first nations fiction picture books in school library collections 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
ON THE THEORY OF BIRATIONAL BLOWING-UP 666
Signals, Systems, and Signal Processing 610
Chemistry and Physics of Carbon Volume 15 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 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 6388986
求助须知:如何正确求助?哪些是违规求助? 8203308
关于积分的说明 17357899
捐赠科研通 5442552
什么是DOI,文献DOI怎么找? 2877984
邀请新用户注册赠送积分活动 1854352
关于科研通互助平台的介绍 1697854