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Sharing Scientific and Social Knowledge in a Performance Oriented Industry: An Evaluation Model

Sharing Scientific and Social Knowledge in a Performance Oriented Industry: An Evaluation Model

Haris Papoutsakis
Copyright: © 2013 |Pages: 30
ISBN13: 9781466619456|ISBN10: 1466619457|EISBN13: 9781466619463
DOI: 10.4018/978-1-4666-1945-6.ch059
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MLA

Papoutsakis, Haris. "Sharing Scientific and Social Knowledge in a Performance Oriented Industry: An Evaluation Model." Industrial Engineering: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2013, pp. 1085-1114. https://doi.org/10.4018/978-1-4666-1945-6.ch059

APA

Papoutsakis, H. (2013). Sharing Scientific and Social Knowledge in a Performance Oriented Industry: An Evaluation Model. In I. Management Association (Ed.), Industrial Engineering: Concepts, Methodologies, Tools, and Applications (pp. 1085-1114). IGI Global. https://doi.org/10.4018/978-1-4666-1945-6.ch059

Chicago

Papoutsakis, Haris. "Sharing Scientific and Social Knowledge in a Performance Oriented Industry: An Evaluation Model." In Industrial Engineering: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1085-1114. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-1945-6.ch059

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Abstract

The chapter evaluates the contribution of shared knowledge and information technology to manufacturing performance. For this purpose, a theoretical model was built and tested in praxis through a research study among manufacturing, quality and R&D groups. The social character of science is perceived as a matter of the aggregation of individuals, not their interactions, and social knowledge as simply the additive outcome of mostly scientists, members of the three groups, making sound scientific judgments. The study results verify the significant contribution of shared knowledge to the manufacturing group performance. They also demonstrate that information technology influences notably the manufacturing group performance and, in a less significant way, the sharing of knowledge. Study results are useful to researchers and the business community alike as they may be used as a springboard for further empirical studies and can help put together strategies involving knowledge management and information technology.

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