Social Capital and the Diffusion of Innovations Within Organizations: The Case of Computer Technology in Schools

Author:

Frank Kenneth A.1,Zhao Yong2,Borman Kathryn3

Affiliation:

1. Kenneth A. Frank, Ph.D., is Associate Professor, Department of Counseling, Educational Psychology, and Special Education and Department of Fisheries and Wildlife, Michigan State University. His main fields of interest are social networks, social capital, causal inference, diffusion of innovations, and multilevel models. He is currently analyzing adolescents emergence of educational and health behaviors in the social context of schools, developing indices of robustness for statistical inference, and...

2. Yong Zhao, Ph.D., is Associate Professor, Department of Counseling, Educational Psychology, and Special Education, Michigan State University. His main fields of interest are educational uses of technology and teachers adoption of technology. He is currently researching teachers knowledge of technology and conducting a cross-cultural examination of educational reforms.

3. Kathryn Borman, Ph.D, is Professor, David Anchin Center, University of South Florida, Tampa. Her main fields of interest are educational policy, educational change and reform, sociology of learning, the transition from school to work, and research methods. She is currently working with colleagues at the American Institutes for Research and NORC on the fourth year of a five-year project, supported by the U.S. Department of Education, to examine the impact of comprehensive school reform on outcomes,...

Abstract

Although the educational community has learned much about better educational practices, less is known about processes for implementing new practices. The standard model of diffusion suggests that people change perceptions about the value of an innovation through communication, and these perceptions then drive implementation. But implementation can be affected by more instrumental forces. In particular, members of a school share the common fate of the organization and affiliate with the common social system of the organization. Thus, they are more able to gain access to each others' expertise informally and are more likely to respond to social pressure to implement an innovation, regardless of their own perceptions of the value of the innovation. This article characterizes informal access to expertise and responses to social pressure as manifestations of social capital. Using longitudinal and network data in a study of the implementation of computer technology in six schools, the authors found that the effects of perceived social pressure and access to expertise through help and talk were at least as important as the effects of traditional constructs. By implication, change agents should attend to local social capital processes that are related to the implementation of educational innovations or reforms.

Publisher

SAGE Publications

Subject

Sociology and Political Science,Education

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