A multilevel analysis of relationships among mianzi, reward/punishment and knowledge sharing

Science Research Management ›› 2018, Vol. 39 ›› Issue (8): 161-168.

Previous Articles Next Articles

A multilevel analysis of relationships among mianzi, reward/punishment and knowledge sharing

Duan Guang¹, Pang Changwei¹, Jin Hui²

1. School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu, China;
2. School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang 212003, Jiangsu, China

Received:2015-07-10 Revised:2017-08-04 Online:2018-08-20 Published:2018-08-21

Abstract

Abstract: The relationship between Mianzi and knowledge sharing (KS) on individual level, and the moderation effect of team sanction on the relationship are studied based on crowding-out effect. The multilevel analysis of 74 knowledge team sample using HLM shows that Mianzigain is positively related with KS and the relationship is negatively moderated by team sanction, Mianziloss is negatively related with KS and the relationship is negatively moderated by team sanction. The crowding-out effect of team sanction on Mianzi is significant. At last, some suggestion are provided in this paper.

Key words: mianzigain, mianziloss, reward/punishment, knowledge sharing, multilevel analysis

Duan Guang, Pang Changwei, Jin Hui. A multilevel analysis of relationships among mianzi, reward/punishment and knowledge sharing[J]. Science Research Management, 2018, 39(8): 161-168.

[1]	Yang Xianghao, Ye Xu, Liu Yun, Wang Xiaoli. Research on the dynamic evolution game of tacit knowledge sharing in patent commercialization [J]. Science Research Management, 2023, 44(6): 154-164.
[2]	Luo Jianqiang, Guo Yatao, Hu Bingkun. Boundary recognition of knowledge blocking or sharing for hybrid offerings in manufacturing enterprises [J]. Science Research Management, 2023, 44(2): 156-164.
[3]	Liu Lin, Wang Jiuhe. The research on customer knowledge sharing decision behavior based on evolutionary game [J]. Science Research Management, 2022, 43(2): 149-159.
[4]	Bai Jingkun, Li Sihan, Li Hongyan. Enterprise knowledge governance and tacit knowledge sharing from the perspective of openness [J]. Science Research Management, 2022, 43(1): 143-152.
[5]	Liu Lin, Wang Jiuhe. A research on customer participation in knowledge sharing based on the super-network model [J]. Science Research Management, 2021, 42(7): 147-155.
[6]	Zhang Jiemei, Ma Yuejie. The influence of social capital on users′ loyalty to virtual communities [J]. Science Research Management, 2021, 42(3): 139-149.
[7]	Liu Fengchao, Luo Lei, Zhang Shuhui. Knowledge attributes, knowledge relations and firms′ innovation performance in the R&D cooperation [J]. Science Research Management, 2021, 42(11): 155-163.
[8]	Pi Shenglei，Ding Mingming. Knowledge sharing and C2C network location: The moderating role of evaluation mechanism [J]. Science Research Management, 2020, 41(6): 210-218.
[9]	Dai Wanliang, Su Lin, Yang Jiaoping. The relationship among psychological ownership, knowledge sharing and innovative behavior of team members: The multilevel moderating effect of coworker trust [J]. Science Research Management, 2020, 41(12): 246-256.
[10]	Zhang Rui, Zhou Wankun, Chen Qianzhu. An analysis of evolutionary game between organizational trust and knowledge sharing [J]. Science Research Management, 2020, 41(10): 210-217.
[11]	Gao Zhonghua, Zhao Chen, Wu Chunbo. Impacts mechanism of knowledge sharing rewards based on the interactive process [J]. Science Research Management, 2019, 40(9): 159-169.
[12]	Cai Liling, Bao Gongmin. Peer evaluation and knowledge sharing among R&D personnel：The moderating effect of group attention [J]. Science Research Management, 2019, 40(5): 264-274.
[13]	Jin Hui, Li Zhidong, Duan Guang. A research on collectivism orientation, knowledge attributes and knowledge sharing behavior#br# [J]. Science Research Management, 2019, 40(11): 236-246.
[14]	Zuo Bo, Zhang Wei, Wang Chen. An evolution from individual absorptive capability to organizational absorptive capability by taking knowledge sharing as mediator [J]. Science Research Management, 2019, 40(1): 32-41.
[15]	Yang Yi, Dang Xinghua, Cheng Long. Divisive faultlines and knowledge sharing in technology innovation network: The moderating effect of network position and knowledge power [J]. Science Research Management, 2018, 39(9): 59-67.

A multilevel analysis of relationships among mianzi, reward/punishment and knowledge sharing

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics