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Dataset on social capital and knowledge integration in project management.

ABSTRACT: This research aimed at gaining insight into the behavioural dimensions of projects by recognizing the social capital and the ability of project leaders to incorporate knowledge. The concept and three dimensions of social capital theory, namely structural, relational and cognitive, serve as the basis of the design in this research. The theoretical framework based on the interaction between social capital and the integration of knowledge. A survey was conducted to assess the latent variables of social capital of a project leader on the latent variable of knowledge integration capability. The research carried out with a sample of project management professionals (n = 316), provided project members' perceptions on the behavioural attributes of project leaders. Structural equation modelling demonstrated the significant positive effect of structural and relational social capital on the integration of knowledge in the project management, but no significant relationship established between cognitive social capital and knowledge integration.

SUBMITTER: Ekemen MA

PROVIDER: S-EPMC7016259 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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Dataset on social capital and knowledge integration in project management.

Ekemen Mehmet Ali MA Şeşen Harun H

Data in brief 20200204

This research aimed at gaining insight into the behavioural dimensions of projects by recognizing the social capital and the ability of project leaders to incorporate knowledge. The concept and three dimensions of social capital theory, namely structural, relational and cognitive, serve as the basis of the design in this research. The theoretical framework based on the interaction between social capital and the integration of knowledge. A survey was conducted to assess the latent variables of so ...[more]

PMID: 32071997

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Project description:BackgroundWe developed and validated an instrument to measure community-level social capital based on data derived from older community dwellers in Japan.MethodsWe used cross-sectional data from the Japan Gerontological Evaluation Study, a nationwide survey involving 123,760 functionally independent older people nested within 702 communities (i.e., school districts). We conducted exploratory and confirmatory factor analyses on survey items to determine the items in a multi-dimensional scale to measure community social capital. Internal consistency was checked with Cronbach's alpha. Convergent construct validity was assessed via correlating the scale with health outcomes.ResultsFrom 53 candidate variables, 11 community-level variables were extracted: participation in volunteer groups, sports groups, hobby activities, study or cultural groups, and activities for teaching specific skills; trust, norms of reciprocity, and attachment to one's community; received emotional support; provided emotional support; and received instrumental support. Using factor analysis, these variables were determined to belong to three sub-scales: civic participation (eigenvalue = 3.317, α = 0.797), social cohesion (eigenvalue = 2.633, α = 0.853), and reciprocity (eigenvalue = 1.424, α = 0.732). Confirmatory factor analysis indicated the goodness of fit of this model. Multilevel Poisson regression analysis revealed that civic participation score was robustly associated with individual subjective health (Self-Rated Health: prevalence ratio [PR] 0.96; 95% confidence interval [CI], 0.94-0.98; Geriatric Depression Scale [GDS]: PR 0.95; 95% CI, 0.93-0.97). Reciprocity score was also associated with individual GDS (PR 0.98; 95% CI, 0.96-1.00). Social cohesion score was not consistently associated with individual health indicators.ConclusionsOur scale for measuring social capital at the community level might be useful for future studies of older community dwellers.

Dataset Information

Dataset on social capital and knowledge integration in project management.

Publications

Dataset on social capital and knowledge integration in project management.

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