Green transformational leadership and green innovation in megaprojects: is green knowledge sharing a missing link?

大型项目 背景(考古学) 业务 变革型领导 知识管理 管理 经济 计算机科学 古生物学 生物
作者
Xiaoyan Chen,Yajiao Chen,Xinyue Zhang,Qinghua He
出处
期刊:Engineering, Construction and Architectural Management [Emerald (MCB UP)]
被引量:18
标识
DOI:10.1108/ecam-02-2023-0117
摘要

Purpose Green innovation (GI) in megaprojects has become a significant research topic that attracts both megaproject management scholars' and practitioners' attention. Green transformational leadership (GTL) is acknowledged as an important antecedent to GI in the permanent context. However, limited research investigates the mechanism and condition of how GTL effectively affects GI in the temporary (i.e. megaproject) context. This study seeks to examine the mechanism and condition of GTL in improving GI by assessing the mediating role of green knowledge sharing (GKS) and the moderating effect of innovation climate (IC). Design/methodology/approach Regression analysis was performed on data obtained from 303 experts who have been involved in megaprojects. Findings GTL has a significant positive impact on two aspects of GI, including green product innovation (GPDI) and green process innovation (GPCI). Besides, GKS mediates the relationship between GTL and the two aspects of GI. Moreover, IC plays a significantly positive moderating role in the relationship between GTL and GKS and the relationship between GKS and the two aspects of GI. Originality/value This study adds knowledge to the theory and practice by unveiling the “black box” between GTL and GI in the temporary (i.e. megaproject) context. First, this study extends the continuing discussion on the direct effect of GTL on GI to the temporary (i.e. megaproject) context. Second, this study facilitates the understanding of the mechanism to generate better GI performance considering the mediating role of GKS and the moderating effect of IC in the temporary (i.e. megaproject) context. The results can illuminate megaproject practitioners on generating better GI performance.
最长约 10秒,即可获得该文献文件

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
领导范儿应助王王采纳,获得10
1秒前
2秒前
搜集达人应助yuanyuan采纳,获得10
2秒前
Dungjyut发布了新的文献求助10
3秒前
大模型应助孙千采纳,获得10
5秒前
完美世界应助务实的静珊采纳,获得10
5秒前
充电宝应助谢谢sang采纳,获得10
6秒前
8秒前
11秒前
赘婿应助surgeon10采纳,获得10
12秒前
Dungjyut完成签到,获得积分10
13秒前
13秒前
夜月残阳发布了新的文献求助10
14秒前
脑洞疼应助...采纳,获得10
14秒前
14秒前
14秒前
nana完成签到,获得积分20
15秒前
15秒前
sdasdd10完成签到,获得积分10
15秒前
15秒前
荡南桥发布了新的文献求助10
16秒前
17秒前
科研通AI5应助xuwan采纳,获得10
17秒前
邓希静完成签到 ,获得积分10
18秒前
小李完成签到,获得积分10
18秒前
流星雨完成签到,获得积分10
18秒前
18秒前
zoujinru发布了新的文献求助10
19秒前
独行侠发布了新的文献求助10
19秒前
huang发布了新的文献求助30
19秒前
菠萝吹雪发布了新的文献求助10
19秒前
20秒前
加油完成签到,获得积分20
20秒前
20秒前
AmyHu完成签到,获得积分10
21秒前
21秒前
22秒前
差劲先森发布了新的文献求助10
22秒前
细心行云完成签到,获得积分10
23秒前
踏实以云发布了新的文献求助30
25秒前
高分求助中
Continuum Thermodynamics and Material Modelling 4000
Production Logging: Theoretical and Interpretive Elements 2700
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
El viaje de una vida: Memorias de María Lecea 800
Luis Lacasa - Sobre esto y aquello 700
Novel synthetic routes for multiple bond formation between Si, Ge, and Sn and the d- and p-block elements 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3516067
求助须知:如何正确求助?哪些是违规求助? 3098247
关于积分的说明 9238827
捐赠科研通 2793272
什么是DOI,文献DOI怎么找? 1532930
邀请新用户注册赠送积分活动 712455
科研通“疑难数据库(出版商)”最低求助积分说明 707290