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Predictors of Social Networking and Individual Performance

Predictors of Social Networking and Individual Performance

Michael A. Brown, Mohamad Alkadry
Copyright: © 2012 |Pages: 17
ISBN13: 9781466603189|ISBN10: 1466603186|EISBN13: 9781466603196
DOI: 10.4018/978-1-4666-0318-9.ch008
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MLA

Brown, Michael A., and Mohamad Alkadry. "Predictors of Social Networking and Individual Performance." Citizen 2.0: Public and Governmental Interaction through Web 2.0 Technologies, edited by Kathryn Kloby and Maria J. D’Agostino, IGI Global, 2012, pp. 129-145. https://doi.org/10.4018/978-1-4666-0318-9.ch008

APA

Brown, M. A. & Alkadry, M. (2012). Predictors of Social Networking and Individual Performance. In K. Kloby & M. D’Agostino (Eds.), Citizen 2.0: Public and Governmental Interaction through Web 2.0 Technologies (pp. 129-145). IGI Global. https://doi.org/10.4018/978-1-4666-0318-9.ch008

Chicago

Brown, Michael A., and Mohamad Alkadry. "Predictors of Social Networking and Individual Performance." In Citizen 2.0: Public and Governmental Interaction through Web 2.0 Technologies, edited by Kathryn Kloby and Maria J. D’Agostino, 129-145. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-0318-9.ch008

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Abstract

Public organizations that can successfully predict participation and understand the value propositions that drive performance can be very effective in social networking, which is a process and practice by which people and organizations are drawn together by family, work, or hobby to interact via websites. This chapter examines the relationship between social networking and individual performance and suggests a social networking participation model that takes advantage of innovation adoption and other important theories to help public organizations understand acceptance or rejection of participation. In a recent study, responses from 191 public administrators were analyzed using structural equation modeling (SEM) to focus on the relationship between participation and five constructs: perceived usefulness, perceived ease of use, perceived improvement potential (PIP), intra-organizational trust, and type of use. The study found favorable model fit statistics that support positive correlations between the latent variables examined and the dependent variable, participation. The results demonstrate the potential of the survey instrument to serve as an adoption and participation methodology that can provide public organizations with knowledge that predicts and promotes social networking activities as they relate to perceived performance improvement. This approach arms organizations and leaders with a new lens with which to focus on the value proposition regarding perceived improvement potential based on social networking participation.

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