Social capital, motivations, and knowledge sharing intention in health Q&A communities

2017 ◽  
Vol 55 (7) ◽  
pp. 1536-1557 ◽  
Author(s):  
Xing Zhang ◽  
Shan Liu ◽  
Xing Chen ◽  
Yeming (Yale) Gong
Keyword(s):  
Social Capital ◽  
Knowledge Sharing ◽  
Health Professionals ◽  
Structural Equation ◽  
Extrinsic Motivation ◽  
Equation Modeling ◽  
Content Type ◽  
Individual Motivation ◽  
Health Question ◽  
Intrinsic And Extrinsic Motivations

Purpose Although health question-and-answer (Q&A) communities have become popular in recent years, only a few communities have successfully retained and motivated their members to share knowledge. The purpose of this paper is to focus on the ways by which social capital and motivation influence knowledge sharing intention from the perspectives of health professionals and normal users in health Q&A communities. Design/methodology/approach The developed theoretical model integrates individual motivation and social capital theories. On the basis of a sample comprising 363 members from health Q&A communities in China, the authors tested the hypotheses by using structural equation modeling. Findings This study empirically finds that social capital positively affects intrinsic and extrinsic motivations, which then positively influence the intention of health professionals and normal users to share knowledge. Motivations of members fully mediate the effects of social capital on knowledge sharing intention. Specifically, intrinsic motivation influences knowledge sharing intention more for health professionals than for normal users, whereas extrinsic motivation influences knowledge sharing intention more for normal users than for health professionals. Originality/value This study explores the factors that affect the intentions of sharing knowledge in health Q&A communities by integrating social capital and motivation theories. Individual motivations can then bridge social capital and knowledge sharing intention. The effects of the intrinsic and extrinsic motivations of two user types were further examined and compared. These findings can extend the understanding of the underlying drivers of intention to share knowledge in the context of e-health.

scholarly journals How to motivate employees to engage in online knowledge sharing? Differences between posters and lurkers

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mai Nguyen ◽  
Ashish Malik ◽  
Piyush Sharma
Keyword(s):  
Knowledge Sharing ◽  
Organizational Performance ◽  
Self Efficacy ◽  
Structural Equation ◽  
Extrinsic Motivation ◽  
Subjective Norms ◽  
Equation Modeling ◽  
Future Research ◽  
Content Type ◽  
Telecommunication Companies

Purpose This study aims to combine the theory of planned behave or (TPB) and the motivational framework to extend the research on online knowledge sharing (OKS) in an organization by exploring the factors that drive the knowledge sharing intentions (KSI) of posters and lurkers. Design/methodology/approach A field survey with 501 employees in Vietnamese telecommunication companies is used to collect the data and a structural equation modeling approach with AMOS 25.0 is used to test all the hypotheses. Findings Attitudes toward OKS and subjective norms influence online KSI for both posters and lurkers. Self-enjoyment has a stronger effect on the attitudes toward OKS for posters than lurkers. Self-efficacy, reciprocity and rewards only affect posters and not lurkers. Research limitations/implications This study uses self-efficacy and self-enjoyment to represent intrinsic motivation and reciprocity and rewards for extrinsic motivation. Future research may use additional motivational factors to provide additional insights. Practical implications Managers should pay greater attention to subjective norms and attitudes toward knowledge sharing to motivate all the employees to share knowledge with each other to improve organizational performance. Originality/value This is the first study to combine TPB with the motivational framework to explore the factors that drive online knowledge sharing in an organization.

Social capital, knowledge sharing and innovation of small- and medium-sized enterprises in a tourism cluster

2018 ◽  
Vol 30 (6) ◽  
pp. 2417-2437 ◽  
Author(s):  
Namhyun Kim ◽  
Changsup Shim
Keyword(s):  
Social Capital ◽  
Knowledge Sharing ◽  
Structural Equation ◽  
Business Performance ◽  
Equation Modeling ◽  
Relational Capital ◽  
Content Type ◽  
Structural Capital ◽  
And Performance ◽  
Practical Implications

PurposeThis study aims to identify the structural relationship among social capital, knowledge sharing, innovation and performance of small- and medium-sized enterprises (SMEs) in a tourism cluster.Design/methodology/approachA total of 199 valid questionnaires are collected from SMEs in the Bomun tourism cluster in South Korea. A structural equation modeling approach is used to test the research hypotheses.FindingsThe findings suggest that social capital constructs, including network density of structural capital, relational capital and cognitive capital, all positively influence knowledge sharing among SMEs in the cluster. This implies that creating social capital is critical to enhancing the competitiveness of SMEs. This study confirms that knowledge sharing positively affects SME performance through innovation.Research limitations/implicationsThis study suggests that social capital, consisting of structural, cognitive and relational capital, facilitates increased knowledge sharing and innovation in a tourism cluster, which in turn enhances SME business performance.Practical/implicationsThis study suggests that tourism cluster policies should focus on how to create a friendly operational climate to build social capital and support SME innovation.Originality/valueThis study contributes to the literature on social capital and innovation as well as the discourse on tourism clusters by addressing knowledge sharing among SMEs in a tourism cluster. It also expands the knowledge sharing and innovation literature by focusing on inter-organizational social networking among SMEs.

Antecedents and consequences of intellectual capital

2018 ◽  
Vol 19 (5) ◽  
pp. 858-874 ◽  
Author(s):  
Sayyed Mohsen Allameh
Keyword(s):  
Social Capital ◽  
Knowledge Sharing ◽  
Intellectual Capital ◽  
Structural Equation ◽  
Hotel Industry ◽  
Sem Analysis ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Content Type ◽  
Positive Effects

Purpose The purpose of this paper is to propose and test an integrated model focusing on the drivers and consequences of intellectual capital in the context of the hotel industry. Design/methodology/approach A quantitative study was conducted, including 156 hotels located in Iran. Structural equation modeling examines the validity of constructs and path relationships. Findings The results of the PLS-SEM analysis provided three findings as follows: the three dimensions of social capital, namely the structural, relational, and cognitive social capital, had positive effects on knowledge sharing; knowledge sharing had positive effects on three components of intellectual capital (human capital, structural capital and relational capital); and intellectual capital dimensions, which in turn, lead to innovation. Originality/value The combination of a developing country context and the significance of social capital, knowledge sharing, intellectual capital and innovation in hotel industry enhance the contextual contribution of the paper.

scholarly journals Microfoundations of SME open innovation: the role of help, knowledge sharing and hiding

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Darija Aleksić ◽  
Kaja Rangus ◽  
Alenka Slavec Gomezel
Keyword(s):  
Knowledge Sharing ◽  
Open Innovation ◽  
Structural Equation ◽  
Extrinsic Motivation ◽  
Helping Behavior ◽  
Equation Modeling ◽  
High Tech ◽  
Content Type ◽  
Human Aspects ◽  
Knowledge Hiding

PurposeThe purpose of this research is to better understand the human aspects of open innovation in small- and medium-sized enterprises (SMEs) by exploring how intrinsic and extrinsic motivation influence enjoyment in helping others, knowledge sharing and knowledge hiding and consequently firms' open innovation.Design/methodology/approachWe collected data with a survey among CEOs in 140 SMEs and performed confirmatory factor analysis applying structural equation modeling in IBM SPSS AMOS (v. 26).FindingsResults reveal that intrinsic motivation is positively associated with helping behavior and knowledge sharing and negatively associated with knowledge hiding. We also confirm the positive relationship between extrinsic motivation and knowledge sharing. Moreover, we find that knowledge sharing increases and knowledge hiding decreases the firm-level open innovation. Especially in high-tech industry, knowledge sharing is a vital determinant of open innovation.Originality/valueResponding to the calls for a deeper understanding of the individual-level factors that determine organization-level open innovation, in this research we focus on the human aspect of open innovation in SMEs. Open innovation is a widely recognized and implemented concept among large corporations and facilitates better understanding of new technological and market developments both within and outside of organizations. However, understanding of the microfoundations of open innovation in smaller firms is still limited, but this steam of research is growing rapidly.

The effect of knowledge management on intellectual capital, social capital, and firm innovation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahdi Salehi ◽  
Mohammad Ali Fahimi ◽  
Grzegorz Zimon ◽  
Saeid Homayoun
Keyword(s):  
Social Capital ◽  
Knowledge Management ◽  
Intellectual Capital ◽  
Chief Executive Officers ◽  
Structural Equation ◽  
Chief Executive ◽  
Equation Modeling ◽  
Capital Social ◽  
Manufacturing Companies ◽  
Content Type

Purpose This study aims to analyze the literature on knowledge management on intellectual capital, social capital and its contribution to Iranian companies’ innovation. Design/methodology/approach To investigate knowledge management’s relationship on intellectual capital, social capital and innovation, using structural equation modeling based on data collected from 205 chief executive officers, production managers and marketing managers of Iranian companies. The research instrument is a standard questionnaire consisting of 109 questions in which 5 of them are demographic questions, 26 questions were asked to reveal the knowledge management process, 40 questions for intellectual capital, 21 for social capital and 17 for innovation. Findings The results show that knowledge management has a positive and significant relationship between intellectual capital and social capital. Knowledge management did not have a significant effect on innovation. However, intellectual capital and social capital have a significant effect on innovation. On the other hand, knowledge management mediated by intellectual capital and social capital has a positive and significant indirect effect on innovation. Originality/value The paper includes the implications for developing knowledge management and intellectual, social capital leading to innovation in manufacturing companies. Knowledge management can improve the innovation performance of a company if it is shared and applied effectively. This study addresses an important subject and the findings may be used by professionals and managers or another person interested in advancing knowledge management that leads to innovation.

Effect of social capital on agribusiness diversification intention in the emerging market

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Le Dang Lang ◽  
Abhishek Behl ◽  
Nguyen Trung Dong ◽  
Yama Temouri ◽  
Nguyen Hong Thu
Keyword(s):  
Social Capital ◽  
Global Economy ◽  
Structural Equation ◽  
Emerging Market ◽  
Measurement Scale ◽  
Equation Modeling ◽  
Group Discussions ◽  
Content Type ◽  
Depth Interviews

PurposeCoronavirus disease 2019 (COVID-19) has seriously affected the global economy. How agribusinessmen are overcoming this crisis is being noticed in emerging markets. Using social capital to diversify agribusiness for getting more customers is a useful solution for the growth of agribusiness. However, there is a lack of evidence on the aggregate measurement scale of social capital and the influence of behavioral goals on the intention toward agribusiness diversification. Therefore, this study aims to develop an integrated measurement of social capital and investigate its effect on agribusiness diversification intention using the expanded theory of planned behavior (TPB).Design/methodology/approachA mixed-methods approach is used, including four in-depth interviews, three focus group discussions and two surveys. Structural equation modeling is applied to a sample of 484 respondents to test the proposed hypotheses.FindingsThe study shows the role of social capital in influencing the intention to diversify agribusiness under the premises of the resource-based view (RBV). The scale of social capital is also developed, which is the first integrated measurement of this asset. The findings contribute significantly to the existing knowledge of social capital, the TPB and diversifying agribusiness.Originality/valueThis is the first study to explore the comprehensive effect of the facets of social capital on behavioral intention through behavioral goals and determinants of the TPB under the premises of the RBV. The findings will help emerging economies, for example, Vietnam, where most farmers are family business owners or microscaled entrepreneurs in agriculture.

How closeness matters: the role of geographical proximity in social capital development and knowledge sharing in SMEs

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pollawat Chumnangoon ◽  
Anukal Chiralaksanakul ◽  
Asda Chintakananda
Keyword(s):  
Social Capital ◽  
Knowledge Sharing ◽  
Group Analysis ◽  
Equation Modeling ◽  
Geographical Proximity ◽  
Geographical Distance ◽  
Structural Dimension ◽  
Cognitive Dimension ◽  
Content Type ◽  
Capital Development

Purpose This study aims to investigate the impacts of geographical proximity on social capital development through the inter-relationship between three social capital dimensions (structural, relational and cognitive dimension) and the knowledge sharing between small- and medium-sized enterprises (SMEs). The authors empirically test a main hypothesis that the mechanism of social capital development that subsequently results in tacit knowledge sharing is different for SME buyer-supplier partners across their different geographical distances. Design/methodology/approach Multiple-group analysis in structural equation modeling (SEM) was conducted to test the research hypotheses using data collected from approximately 200 SMEs in Thailand’s food industry. Findings At a great geographical distance, the structural dimension impacts the cognitive dimension only in an indirect way through a relational dimension, which subsequently leads to knowledge sharing between SME buyer-supplier partners. At close geographical proximity, while the indirect impact of structural dimension on cognitive dimension through a relational dimension is still presented as it is in a great geographical distance, structural dimension has a positive and direct impact on the cognitive dimension as a complementary way to jointly reinforce knowledge sharing between SME partners. Among distant SME partners, the relational dimension shows a stronger impact on the cognitive dimension. In contrast, the direct influence of structural, relational and cognitive dimensions on knowledge sharing is identical, regardless of geographical distance. Practical implications The managers of SMEs can design their network-building approach in such a way that different location partners can enhance knowledge sharing. Policymakers could consider these results as a guideline when imposing SME development policies and geographical cluster policies in emerging economies. Originality/value This study provides empirical evidence that demonstrates how geographical proximity between SME partners in an emerging economy influences their social proximity through the lens of social capital development mechanism and thus leads to knowledge sharing between them.

Relationships between leadership, motivation and employee-level innovation: evidence from India

2020 ◽  
Vol 49 (7) ◽  
pp. 1363-1379
Author(s):  
Vishal Gupta
Keyword(s):  
Intrinsic Motivation ◽  
Structural Equation ◽  
Extrinsic Motivation ◽  
Organizational Context ◽  
Work Motivation ◽  
Sense Of Self ◽  
Autonomous Motivation ◽  
Work Behavior ◽  
Equation Modeling ◽  
Content Type

PurposeIntegrating the behavioral theory of leadership, the componential theory of creativity and the self-determination theory (SDT), the study tests the relationships between leadership, work motivation (intrinsic motivation, integrated extrinsic motivation, extrinsic motivation) and employee-level innovation (innovative work behavior and innovation outcomes) in a work setting.Design/methodology/approachData were collected using a survey questionnaire from 493 scientists working in India's largest civilian research and development (R&D) organization. The structural equation modeling (SEM) method was used to test the hypothesized relationships between the study variables.FindingsThe study found evidence for positive relationships between leadership, employee autonomous motivation (intrinsic and integrated extrinsic motivation) and employee-level innovation. The study shows that extrinsic motivation is positively related to innovation only when the value of rewards is integrated to one's sense of self (integrated extrinsic motivation). Extrinsic motivation, otherwise, is not related to innovation.Research limitationsThe study was cross-sectional, so inferences about causality are limited.Practical implicationsFirst, while extrinsic motivation is considered bad for innovation, the study provides evidence that integrated extrinsic motivation complements intrinsic motivation and encourages employee-level innovation. Second, the study shows that leaders can aid the process of development of autonomous motivation by displaying positive behaviors. Third, the study validates the mediating role of autonomous motivation for the leadership–innovation relationship.Originality/valueThe study provides an insight into the underlying process through which leaders can impact innovation at the workplace. To the best of the author's knowledge, such a study is the first of its kind undertaken in an organizational context.

scholarly journals A public goods model of outcomes from online knowledge sharing mediated by mental model processing

2019 ◽  
Vol 23 (1) ◽  
pp. 1-22 ◽  
Author(s):  
Ronald E. Rice ◽  
Marni Heinz ◽  
Ward van Zoonen
Keyword(s):  
Public Goods ◽  
Knowledge Sharing ◽  
Public Good ◽  
Mental Model ◽  
Structural Equation ◽  
Equation Modeling ◽  
Costs And Benefits ◽  
Learning Potential ◽  
Content Type ◽  
The Individual

Purpose This study aims to take a public goods approach to understand relationships between collecting and contributing knowledge to an online knowledge sharing portal (KSP), mental model processing and outcomes at the individual and collective levels. Design/methodology/approach This study reports on a survey (N = 602) among tax professionals, examining the perceived individual and collective benefits and costs associated with collecting and contributing knowledge. Hypotheses were tested using structural equation modeling. Findings Collecting and contributing knowledge led to considerable mental model processing of the knowledge. That in turn significantly influenced (primarily) individual and (some) collective costs and benefits. Results varied by the kinds of knowledge sharing. Whether directly from knowledge sharing, or mediated through mental modeling, the perceived costs and benefits may be internalized as an individual good rather than being interpreted at the collective level as a public good. Research limitations/implications The study is situated in the early stages of a wiki-type online KSP. A focus on the learning potential of the system could serve to draw in new users and contributors, heightening perceptions of the public goods dimension of a KSP. Practical implications A focus on the learning potential of the system could serve to draw in new users, and thus the number of subsequent contributors, heightening perceptions of the collective, public goods dimension of a KSP. Originality/value This study explores how knowledge sharing and mental model processing are directly and indirectly associated with individual and collective costs and benefits. As online knowledge sharing is both an individual and public good, costs and benefits must be considered from both perspectives.

Capture coproduction behavior in networking alumni communities: Progress from platform belongingness, knowledge sharing, and citizenship behavior

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
My-Trinh Bui ◽  
Don Jyh-Fu Jeng
Keyword(s):  
Knowledge Sharing ◽  
Structural Equation ◽  
Knowledge Exchange ◽  
Citizenship Behavior ◽  
Equation Modeling ◽  
Collaboration Network ◽  
Conservation Of Resources ◽  
Content Type ◽  
Community Platforms ◽  
Relational Mechanism

Purpose The purpose of this study is to investigate coproduction behavior in networking alumni communities via the progress from platform belongingness, knowledge sharing and citizenship behavior. Alumni networking communities have emerged as valuable assets for conserving institutional resources, supporting members and contributing new resources for alumni-institutional professional development. However, the previous literature has not yet captured the explicit processes by which these contributions are made. Design/methodology/approach Data from 711 respondents selected from an alumni collaboration network were subjected to structural equation modeling analysis. Findings The study explored resource conservation (belongingness) as the primary relational mechanism for alumni to share their instrumental resources (knowledge sharing), supporting resources (citizenship behavior) and competent resources (coproduction behavior). Knowledge sharing and citizenship behavior act as intermediate agents to trigger coproduction behavior. The authors show how subjective norm, group norm and trust is regarded as a tool to reduce bonding intrusiveness (i.e. the intrusive side-effects of a bond) and moderate the indirect effect of belongingness on coproduction and the direct effect of citizenship on coproduction. Research limitations/implications By applying attachment theory, conservation of resources theory and digital platform networking perspectives, this study describes major implications for designing inspiring and compatible community platforms. Practical implications Guidance is provided for improving sustainable alumni communities through citizenship-sharing and coproduction behavior. Social implications Online alumni communities are regarded as resource conservators, which can result in valuable coproduction, via the sharing of knowledge, expertise and skillsets to create profit for a range of institutions and industries. Originality/value Alumni networking platforms encourage alumni cohesiveness, stimulate knowledge exchange and improve professionalism.

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