A Meta-analysis of Knowledge Sharing in Virtual Communities: The Moderating Effect of Membership Types

2018 ◽  
pp. 83-93 ◽  
Author(s):  
Hui-Min Lai ◽  
Yu-Wen Huang ◽  
Shin-Yuan Hung
Keyword(s):  
Knowledge Sharing ◽  
Virtual Communities ◽  
Meta Analysis ◽  
Moderating Effect ◽  
Analysis Of Knowledge

scholarly journals Investigation of moderator factors in e-business adoption: A quantitative meta-analysis of moderating effects on the drivers of intention and behavior

2017 ◽  
Vol 14 (1) ◽  
pp. 75-102 ◽  
Author(s):  
Bostjan Sumak ◽  
Marjan Hericko ◽  
Zoran Budimac ◽  
Maja Pusnik
Keyword(s):  
Technology Acceptance ◽  
New Technologies ◽  
Causal Effect ◽  
Meta Analysis ◽  
Moderating Effect ◽  
Factors Affecting ◽  
Adoption Research ◽  
Acceptance Model ◽  
Almost All ◽  
Business Technology

E-business technology is becoming one of the most important global markets where e-business solutions will have to adapt to new technologies. The main objective in this study was to synthesize existing knowledge in the field of e-business technology acceptance and to understand differences in Technology Acceptance Model (TAM) related causal effect sizes for different e-business contexts. A quantitative meta-analysis of existing empirical research about factors affecting e-business adoption was conducted using 89 published papers that provided empirical data about causal relationships. A moderator analysis was carried out to investigate the moderating effect of four factors: consumer type, device type, continent and respondent type. The results of the study showed a moderating effect for all four proposed factors in almost all TAM-related causal paths. The study also showed that TAM is the most common theory being applied in e-business adoption research.

Design and Development of Platform about Information Management and Knowledge Sharing in Virtual Communities

2012 ◽  
Vol 198-199 ◽  
pp. 581-585
Author(s):  
Gui Wang ◽  
Zi Juan Yang ◽  
Xiang Cheng Li ◽  
Xing Tong ◽  
Liang Lu
Keyword(s):  
Software Development ◽  
Knowledge Sharing ◽  
Information Management ◽  
Virtual Communities ◽  
Virtual Community ◽  
Function Design ◽  
Analysis Design ◽  
Waterfall Model ◽  
Teaching Modules ◽  
Development Structure

This Article is based on the waterfall model of software development ,according to the mechanism of information management and knowledge-sharing in the virtual community which has been constructed analyze the platform of information management and knowledge-sharing in the virtual community, from functional and technical to explain the platform; on the count of this analysis the paper make the functional design, and build three-tier architecture about the platform of information management and knowledge-sharing in the virtual community, describe teaching modules, exchange and sharing of modules of education system in two pairs of the ER design, the module function design; finally clarify test content for the platform.Software development of waterfalls model[1] essentially is a software development structure, the process have a series of stage sequence, begin from requirement analysis, design, test, setup, to maintenance, each stage generates circulating feedback, if the some stage appears a problem and then return to guarantee the integrality.

The influence mechanism of rewards on knowledge sharing behaviors in virtual communities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nan Wang ◽  
Jielin Yin ◽  
Zhenzhong Ma ◽  
Maolin Liao
Keyword(s):  
Intrinsic Motivation ◽  
Knowledge Sharing ◽  
Tacit Knowledge ◽  
Self Efficacy ◽  
Virtual Communities ◽  
Explicit Knowledge ◽  
Virtual Community ◽  
Content Type ◽  
Integrated Framework ◽  
Tacit Knowledge Sharing

Purpose The purpose of this paper is to explore the effects of organizational rewards on two forms of knowledge sharing – explicit knowledge sharing and tacit knowledge sharing in virtual communities, and further to explore the mediating effect of intrinsic motivation on the effect of virtual community rewards on implicit knowledge sharing. Design/methodology/approach Based on relevant knowledge sharing theories, this study develops an integrated framework to explore virtual community rewards and tacit and explicit knowledge sharing in a virtual context. This study then collected data from 429 virtual community users in four virtual communities via an online survey. Hierarchical regression analyzes were used to test the proposed research model. Findings The results of this study show that virtual rewards have a significantly positive linear relationship with explicit knowledge sharing but have an inverse U-shape relationship with tacit knowledge sharing in virtual communities. In addition, intrinsic motivations including enjoyment and self-efficacy mediate the relationship between rewards and tacit knowledge sharing. Practical implications This study suggests more virtual community rewards may not always lead to more tacit knowledge sharing. Instead, too many rewards may weaken the motivation for tacit knowledge sharing. Knowledge management practitioners should make full use of the positive impact of self-efficacy and enjoyment to set up appropriate reward incentives to encourage knowledge-sharing, in particular, tacit knowledge sharing and to better manage virtual communities. Originality/value This study explores knowledge-sharing behavior in virtual communities, an important step toward more integrated knowledge-sharing theories. While online communities have become increasingly important for today’s knowledge economy, few studies have explored knowledge and knowledge sharing in a virtual context and this study helps to bridge the gap. In addition, this study develops an integrated framework to explore the mechanism through which virtual community rewards affect knowledge sharing with intrinsic motivation mediating this relationship in online communities, which further enriches the understanding on how to use virtual rewards to motivate knowledge sharing behaviors in the virtual context.

A Formal Taxonomy of Knowledge Organization: Meta-Analysis and Facet Analysis

2020 ◽  
Vol 47 (7) ◽  
pp. 558-573
Author(s):  
Richard P. Smiraglia ◽  
Joshua Henry ◽  
Elizabeth Milonas ◽  
Chris Marchese ◽  
Sergey Zherebchevsky
Keyword(s):  
Meta Analysis ◽  
Scientific Journal ◽  
Open Data ◽  
Domain Analysis ◽  
Knowledge Organization ◽  
New Concepts ◽  
Facet Analysis ◽  
Formal Taxonomy ◽  
Conference Papers ◽  
Analysis Of Knowledge

Nearly fifty years after the incorporation of the International Society for Knowledge Organization and the introduction of its formal scientific journal Knowledge Organization, a comprehensive encyclopedia of the domain appeared. The practice of domain analysis for knowledge organization, twenty years after its introduction as a core methodology, has created the largest corpus of theoretical knowledge in the domain analysis of knowledge organization itself. A substantial body of research data, therefore, is available in the corpus of articles and conference papers reporting on the epistemological and ontological pillars of the science of knowledge organization. This paper is a report on the evolution of a formal taxonomy of knowledge organization, which is a product of an exhaustive meta-analysis of the KO domain. Our team compiled the corpus of twenty-nine formal published analyses together with key formative historical documents. We then analyzed the corpus thematically, bibliographically, and using co-word analysis to extract key concepts and the underlying faceted conceptual infrastructure. The taxonomy itself is faceted and is linked where possible to published definitions in the KO literature and as well as to the online ISKO Encyclopedia of Knowledge Organization. A dynamic project, the taxonomy will be maintained as linked open data and will grow as emergent research contributes new concepts or generates new facets.

Motivators of Researchers' Knowledge Sharing and Community Promotion in Online Multi-Background Community

2021 ◽  
Vol 17 (2) ◽  
pp. 23-49
Author(s):  
Siwei Sun ◽  
Fangyu Zhang ◽  
Victor Chang
Keyword(s):  
Knowledge Sharing ◽  
Communication Technology ◽  
Virtual Communities ◽  
Self Determination Theory ◽  
Self Determination ◽  
Mediating Effects ◽  
Demographic Groups ◽  
Knowledge Sharing Behavior ◽  
Knowledge Innovation ◽  
Sharing Behavior

As an essential group in knowledge innovation, researchers are encouraged to exchange ideas with each other for further brainstorm through advanced communication technology. However, efficient online knowledge sharing among researchers is still limited. Although past literature proposes a series of motivators of online knowledge sharing, the differences in the effects of motivators remain in dispute. Thus, it is time to understand how motivators influence each other and inspire scientists to share knowledge and promote virtual communities. Based on the self-determination theory, this study proposes a model with several factors and analyze 301 Chinese researchers' data in an online WeChat cross-disciplinary research community by adopting SmartPls 2.0 and SPSS 22. The results reveal the effects of several antecedents and mediating effects of altruism and knowledge sharing behavior and report the differences of results among different demographic groups. This study enriches the literature in knowledge sharing on social media and proposes further research points to researchers and useful advice to practitioners.

The Effect of Explicit Knowledge Sharing on Human Resource Performance Efficiency: Moderating Role of Human Capacity Development

2020 ◽  
Keyword(s):  
Human Resources ◽  
Knowledge Sharing ◽  
Human Resource ◽  
Quantitative Study ◽  
Explicit Knowledge ◽  
Capacity Development ◽  
Moderating Effect ◽  
Wide Range ◽  
Human Capacity ◽  
The Impact

There are numerous causes responsible for attaining performance efficiency of human resource within the organizations. In this pursuit, the current research has been aimed to further evaluate the relationship exists between Explicit Knowledge Sharing (EKS) within organizations and performance efficiency of the human resources. A quantitative study for the said purpose has been undertaken to ascertain the impact of EKS on performance of human resources while considering the moderating effect of Human Capacity Development (HCD). Quantitative study approach was adopted, and a structured questionnaire was developed based on the relevant studies already conducted in this field. The questionnaires were distributed among 500 respondents, out of which 345 responded, which provided the researcher with 69% response rate. Population of the study comprises wide range of organizations such as Government, Non-Government, International & Private Sector, which were consulted for the primary data collection across the province of Khyber Pakhtunkhwa & Capital Territory of Islamabad by adopting Simple Random Sampling technique. Analysis were drawn through the application of statistical software tools i.e. Amos for factor analysis & SPSS for statistical analysis.The analysis of the data revealed that organizations with EKS practices, subsequently accomplishes efficiency in the performance of their human resources through a positive moderating effect of Human Capacity Development. The usefulness of findings has been endorsed through numerous studies by the local and international scholars of the area. Keywords: Explicit Knowledge Sharing, Human Resource Performance Efficiency, Knowledge Management, Knowledge Sharing

Identification and Measurement of the Knowledge-Sharing Requirements in Collaborative Business Processes

2011 ◽  
pp. 215-231
Author(s):  
Farhad Daneshgar
Keyword(s):  
Knowledge Sharing ◽  
Conceptual Model ◽  
Business Process ◽  
Business Processes ◽  
Modelling Language ◽  
Collaborative Processes ◽  
Semantic Concepts ◽  
Analysis Of Knowledge ◽  
What Matters

This chapter introduces a modelling language called Awareness Net for both representation as well as measuring the knowledge-sharing requirements in collaborative business processes. It is a conceptual model that facilitates representation and analysis of knowledge-sharing requirements of the actors in collaborative business processes. The representation and measurement are handled by a set of collaborative semantic concepts and their relationships. The proposed language enforces overall specification of what matters to the actors in collaborative processes when collaborating in business process to keep them aware of the collaboration context.

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