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1 – 5 of 5Ganli Liao, Xinshuai Hou, Yi Li and Jingyu Wang
Driven by the development of the global digital economy, knowledge management in industrial enterprises offers more possibilities for green innovation. Based on the perspective of…
Abstract
Purpose
Driven by the development of the global digital economy, knowledge management in industrial enterprises offers more possibilities for green innovation. Based on the perspective of external knowledge sources, this study aims to construct a panel regression model to explore the relationship between digital economy and industrial green innovation efficiency.
Design/methodology/approach
Panel data from 30 regions in China from 2011 to 2020 were selected as research samples. All data are obtained from national and provincial statistical yearbooks. Coupling coordination degree analysis, entropy method, panel regression analysis, robustness test and threshold effect test by Stata 16.0 were used to test the hypotheses.
Findings
The empirical results demonstrate the hypotheses and reveal the following findings: the digital economy is positively related to industrial green innovation efficiency and external knowledge sources, and external knowledge sources mediate the relationship between them. Moreover, based on the threshold test results, the digital economy has a double-threshold effect on industrial green innovation efficiency.
Originality/value
Based on the perspective of external knowledge sources, the proposed mediating mechanism between the digital economy and industrial green innovation efficiency has not been established previously, further enriching the research on the antecedents and outcomes of external knowledge sources. Moreover, this study estimated the direct influence mechanism and double-threshold effect of the digital economy on industrial green innovation efficiency from theoretical and empirical analysis, thus responding to the call of scholars and adding to existing research on how the digital economy affects the green transformation of industrial enterprises.
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Ganli Liao, Mengyao Li, Yi Li and Jielin Yin
Employees’ knowledge management, which influences creativity, is a pivotal resource in organizational innovation activities, as it helps activate the knowledge resource pool and…
Abstract
Purpose
Employees’ knowledge management, which influences creativity, is a pivotal resource in organizational innovation activities, as it helps activate the knowledge resource pool and improves knowledge flow. Using social information processing theory, this study aims to construct a cross-level model to examine how knowledge hiding plays a role in the relationship between leader–member exchange differentiation (LMXD) and employee creativity.
Design/methodology/approach
This study surveyed 754 leader–employee matching samples from 127 teams in China innovation enterprises at two time points. Confirmatory factor analysis, convergent analysis, hierarchical regression analysis and bootstrapping method by SPSS and AMOS were used to test the hypotheses.
Findings
The empirical results demonstrate the cross-level model’s efficiency and reveal the following findings: Team-level LMXD is negatively related to employee creativity, whereas it is positively related to knowledge hiding; knowledge hiding is negatively associated with employee creativity; thus, knowledge hiding plays a mediating role in the relationships between them.
Originality/value
Based on the knowledge-hiding perspective, this study analyzed an underlying mechanism between LMXD and employee creativity, thereby further enriching the literature on the influence of knowledge management. This proposed connection has not been established previously. Moreover, the findings respond to the reasons for the inconsistent conclusions of previous literature on the cross-level relationship between LMXD and employee creativity based on the social information processing theory. It thus clarifies the cross-level influence path, as well as provides a theoretical basis for further research on the relationship between the two.
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Jielin Yin, Zhenzhong Ma, Haiyun Yu, Muxiao Jia and Ganli Liao
This paper aims—based on past research works which have shown that transformational leadership has positive impact on knowledge sharing—to explore the impact of different…
Abstract
Purpose
This paper aims—based on past research works which have shown that transformational leadership has positive impact on knowledge sharing—to explore the impact of different leadership dimensions of transformational leadership on knowledge sharing and further to explore the mechanism through which transformational leadership affects employee knowledge sharing in China.
Design/methodology/approach
Based on the transformational leadership theory and the team learning theory, it is proposed that all four dimensions of transformational leadership, including intellectual stimulation, individualized consideration, inspirational motivation and idealized influence, have unique impact on employee knowledge sharing. It is further proposed that psychology safety and team efficacy mediate these relationships. Then data were collected from over 400 employees from knowledge-based companies in China to empirically test the proposed relationships with the method of structural equation modeling.
Findings
The results show that psychological safety fully mediated the impact of intellectual stimulation on knowledge sharing, and team efficacy fully mediated the impact of inspirational motivation on knowledge sharing. Both factors also mediated the impact of individualized consideration on knowledge sharing. The results thus provide empirical support for the impact of transformational leadership on employee knowledge sharing in an international context.
Originality/value
The past years have seen increasing interest in leadership and knowledge sharing in emerging markets, yet the mechanism through which leadership affects employee knowledge sharing remains understudied. This study explores the impact of different dimensions of transformational leadership on employee knowledge sharing, and further shows that psychological safety and team efficacy mediate these relationships in a collectivistic society where knowledge sharing is consistent with cultural norms. The findings help develop more robust knowledge sharing theories in the international context and provide insightful suggestions for management practitioners in emerging markets.
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Jielin Yin, Muxiao Jia, Zhenzhong Ma and Ganli Liao
The purpose of this study is to investigate how a team leader’s conflict management style (CMS) affects team innovation performance (TIP) in entrepreneurial teams using a team…
Abstract
Purpose
The purpose of this study is to investigate how a team leader’s conflict management style (CMS) affects team innovation performance (TIP) in entrepreneurial teams using a team emotion perspective.
Design/methodology/approach
It is proposed in this study that team passion mediates the impact of team leader’s CMSs on team performance, which is further moderated by team emotional intelligence (TEI). Then this study collected paired data from 105 teams including 105 team leaders and 411 team members to test the proposed model.
Findings
The results show that a team leader’s cooperative CMS has a significant positive impact on TIP and team passion further mediates the relationship between the team leader’s CMSs and TIP. The results also show that TEI moderates the relationship between the leader’s CMSs and team passion.
Originality/value
This study helps enriches the literature of conflict management by exploring the mechanisms through which a team leader’s CMSs affect team performance in entrepreneurial activities, and the findings of this study highlight the important role of team passion in this process. In addition, this study integrates the research on conflict management and the research on team passion in entrepreneurial teams to provide a new perspective to explore the dynamic process of entrepreneurial activities, which sheds light on the investigation of the important implications of effective conflict management in the entrepreneurship.
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Renhuai Liu, Steven Si, Song Lin, Dean Tjosvold and Richard Posthuma