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A Virtual Intelligent Creativity Matrix for Employees Clustered Interactivity Network with Knowledge Development Program

A Virtual Intelligent Creativity Matrix for Employees Clustered Interactivity Network with Knowledge Development Program

Iraj Mahdavi, Hamed Fazlollahtabar, Nezam Mahdavi-Amiri, Mohsen Arabmaghsudi, Mohammad Hassan Yahyanejad
Copyright: © 2014 |Volume: 4 |Issue: 1 |Pages: 15
ISSN: 2155-6393|EISSN: 2155-6407|EISBN13: 9781466655331|DOI: 10.4018/ijkbo.2014010104
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MLA

Mahdavi, Iraj, et al. "A Virtual Intelligent Creativity Matrix for Employees Clustered Interactivity Network with Knowledge Development Program." IJKBO vol.4, no.1 2014: pp.65-79. http://doi.org/10.4018/ijkbo.2014010104

APA

Mahdavi, I., Fazlollahtabar, H., Mahdavi-Amiri, N., Arabmaghsudi, M., & Yahyanejad, M. H. (2014). A Virtual Intelligent Creativity Matrix for Employees Clustered Interactivity Network with Knowledge Development Program. International Journal of Knowledge-Based Organizations (IJKBO), 4(1), 65-79. http://doi.org/10.4018/ijkbo.2014010104

Chicago

Mahdavi, Iraj, et al. "A Virtual Intelligent Creativity Matrix for Employees Clustered Interactivity Network with Knowledge Development Program," International Journal of Knowledge-Based Organizations (IJKBO) 4, no.1: 65-79. http://doi.org/10.4018/ijkbo.2014010104

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Abstract

Creative organizations needing teams to combine and integrate inputs from other teams, the teams' structure of interaction is an important prerequisite for creativity. Here, the authors investigate different structural aspects teams' network organization and their creativity within a knowledge development program (KDP). Initially, a pilot group of people in an organization is selected. This group is evaluated through creativity parameters using a questionnaire. Considering the questionnaires' data, a decision maker configures the creativity matrix by a bipolar scoring technique. Applying the creativity matrix, clustering is performed. The pilot group is divided into some research teams. The research subjects are submitted to the teams and their progress in solving the problem is assessed through a comprehensive network interaction assessment method (CNIAM). Finally, an allocated problem is solved and some new research subjects are evolved to be assigned to the next configured teams. This procedure is repeated dynamically for different time periods. A case study in Mazandaran Gas Company in Iran is worked out to illustrate the effectiveness and applicability of the proposed approach.

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