scholarly journals Research on the Dynamic Evolution Law of Knowledge Sharing Behavior Based on Expectation in Online Learning Community

2019 ◽  
Vol 9 (10) ◽  
pp. 746-750
Author(s):  
Dan Xia ◽  
◽  
Huirong Ke ◽  
Yuan Tian
Keyword(s):  
Online Learning ◽  
Knowledge Sharing ◽  
Learning Community ◽  
Dynamic Evolution ◽  
Online Learning Community ◽  
Evolution Law ◽  
Knowledge Sharing Behavior ◽  
Behavior Based ◽  
Sharing Behavior

The study of the antecedents of knowledge sharing behavior

2016 ◽  
Vol 26 (4) ◽  
pp. 845-868 ◽  
Author(s):  
Dah-Kwei Liou ◽  
Wen-Hai Chih ◽  
Chien-Yun Yuan ◽  
Chien-Yao Lin
Keyword(s):  
Knowledge Sharing ◽  
Learning Community ◽  
Community Participation ◽  
Reciprocal Relationship ◽  
Online Learning Community ◽  
Content Type ◽  
Online Test ◽  
Knowledge Sharing Behavior ◽  
Sharing Behavior ◽  
Norm Of Reciprocity

Purpose – The purpose of this paper is to investigate how the factors from environmental level and personal level influence the knowledge sharing behavior and community participation. Design/methodology/approach – This research study, which consisted of 394 valid respondents who were members of the Yambol online test community, used online survey to collect data. This research used the structural equation modeling to analyze the data with good model fit. Findings – The results of this research showed the following: the anticipated reciprocal relationship, norm of reciprocity, and anticipated extrinsic rewards had a significant and positive effect on knowledge sharing behavior, respectively; knowledge sharing behavior had a significant and positive effect on community participation; knowledge sharing self-efficacy was the mediator between anticipated extrinsic rewards and knowledge sharing behavior; and community identification moderated the relationship between knowledge sharing behavior and community participation. Research limitations/implications – This study was a cross-sectional study. Future research can employ a longitudinal study to conduct long-term observations of knowledge sharing behavioral changes among members of the Yambol online test community. Moreover, this study applied social cognitive theory as the basis to explore the antecedents of knowledge sharing behavior of members of the Yambol online test community. Future research can apply a broad range of behavioral theory or combinations of research variables to explore comprehensive factors of knowledge sharing behavior. Practical implications – From a managerial standpoint, this study can assist professional online learning community in understanding the antecedents of knowledge sharing behavior and community participation from personal and environmental level. Social implications – Yambol online test community managers can enhance reciprocity relationship between members in the emotional level. In addition, Yambol online test community managers can use the appropriate norm of reciprocity to strengthen the trust of community members and enhance the knowledge sharing behavior of community members in the rational level. Originality/value – First, most scholars viewed knowledge sharing from perspectives of corporate, organizational, or a typical internet community, but rarely applied a perspective from a professional online learning community to conduct research. Therefore, this research focussed on professional online learning community as the research subject. Second, the literature review revealed that reciprocity divided into anticipated reciprocal relationship and norm of reciprocity. Previous studies have used anticipated reciprocal relationship or norm of reciprocity as research aspects for examining reciprocity; however, no other study has evaluated both concurrently. Third, studies on the behavioral dimension have included knowledge sharing behavior and community participation. This study examined the influence of knowledge sharing behavior on community participation. Additionally, community identification was the moderator of the effect of knowledge sharing behavior on community participation.

scholarly journals Dynamic Evolution of Knowledge Sharing Behavior among Enterprises in the Cluster Innovation Network Based on Evolutionary Game Theory

2019 ◽  
Vol 12 (1) ◽  
pp. 75 ◽  
Author(s):  
Xiaodan Kong ◽  
Qi Xu ◽  
Tao Zhu
Keyword(s):  
Game Theory ◽  
Knowledge Sharing ◽  
Evolutionary Game Theory ◽  
Evolutionary Game ◽  
Dynamic Evolution ◽  
Innovation Network ◽  
Evolutionary Trajectory ◽  
Knowledge Sharing Behavior ◽  
Sustainable Innovation ◽  
Sharing Behavior

Knowledge sharing behavior based on the cluster innovation network has become the primary measure for enterprises to realize sustainable innovation. In order to promote the proactive knowledge sharing behavior among enterprises in the long term, the dynamic evolutionary process and law of knowledge sharing in the network need to be further studied. As different from the hypothesis of the rational man in the classical game theory, this paper establishes an evolutionary game model of knowledge sharing behavior in the cluster innovation network based on the evolutionary game theory, and discusses how the bounded rational enterprises can achieve the evolutionary equilibrium through continuously adaptive learning and strategy optimization, further explores the influence factors on the evolutionary trajectory. Combined with mathematical derivation and simulation analysis, the following results are obtained: over time, the dynamic evolution of knowledge sharing behavior in the cluster innovation network is influenced by initial states of the system, but can always reach the evolutionary stable equilibrium; factors such as synergy revenue have a positive impact on the evolutionary results, while factors such as opportunity interest have a negative impact on the evolutionary results; the factor of revenue distribution has a U-shape relationship with the evolutionary results, and the factor of direct revenue has no effect on the results. The results are expected to have an implication for improving the sustainable innovation development of enterprises in the cluster innovation network.

Influence of psychological safety and social presence on knowledge sharing behavior in higher education online learning environment

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Putra Endi Catyanadika ◽  
Jay Rajasekera
Keyword(s):  
Higher Education ◽  
Online Learning ◽  
Learning Environment ◽  
Knowledge Sharing ◽  
Learning Community ◽  
Social Presence ◽  
Online Learning Environment ◽  
Online Learning Community ◽  
Content Type ◽  
The Relationship

Purpose The absence of physical interactions in online learning environment brings psychological influences on learning participants in interacting and sharing knowledge with others, such as ignorance of other member’s presence and insecurity to share something in online environment. The purpose of this research was to examine the knowledge sharing behavior (KSB) by online learning community members in terms of their psychological safety (PS) and social presence (SP) perceptions. In addition, this research also identified the influence of PS to promote SP and the mediation impact of SP in the relationships between PS and KSB. Design/methodology/approach The data were gathered through self-administered questionnaire distributed to 133 online class members at a university in Indonesia where online learning has created a new learning experience. To represent key behavioral attributes, 12 items were used to represent PS, SP and KSB. The relationships among the variables were analyzed using the structural equation modelling method. Findings The result showed that PS positively influenced SP and KSB. SP also brought a positive impact on promoting KSB and fully mediated the relationship between PS and KSB. Research limitations/implications The result may not have fully captured the reflection of the influencing factors of KSB, as this research focused only on two psychological factors, namely, PS and SP. The research may be further enriched by including additional factors and expanding the data collection to include more online learning institutions. Practical implications The results implied the importance of PS and SP perception to promoting KSB in online learning environments. The results highlighted an important message to universities and schools to be more concerned on students’ feeling safe personally and students’ awareness of others’ presence to maximize knowledge sharing activities in online class environment. Originality/value This paper revealed the importance of PS and SP to promote KSB in the higher education online learning community. To the best of the researchers’ knowledge, this is the first study to link PS and SP to KSB and identify the importance of the mediation effect of SP on the relationship between PS and KSB specifically in higher education online learning environment.

A learning organization perspective on knowledge-sharing behavior and firm innovation

2006 ◽  
Vol 25 (4) ◽  
pp. 227-236
Author(s):  
Li-Fen Liao
Keyword(s):  
Knowledge Sharing ◽  
Learning Organization ◽  
Significant Relationship ◽  
Shared Vision ◽  
Firm Innovation ◽  
Positive Effects ◽  
Knowledge Sharing Behavior ◽  
Relationship Of ◽  
The Relationship ◽  
Sharing Behavior

Sharing knowledge and firm innovation are the crucial ways to sustain competitive advantage. This study builds a nested model to test the relationship between learning organization, knowledge-sharing behavior, and firm innovation. Data gathered from 254 employees were used to examine the relationship of the learning organization to employees' knowledge-sharing behavior and firm innovation. The results indicate that open-mindedness, shared vision and trust have positive effects on both knowledge-sharing behavior and firm innovation. While commitment to learning does not shows significant relationship on knowledge-sharing behavior and firm innovation. Communication has significance on firm innovation but not significance on knowledge-sharing behavior.

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