Simulated Rank Model of Intellectual Capital with Organizational Ambidextrous Learning: Case of Pharmaceutical Industry

Authors
1 Ph.D. of Public Management, Department of Publicmanagement, Allameh Tabataba'i University, Tehran, Iran
2 Associated Prof., Department of Publicmanagement Faculty of Management and Accounting, Allameh Tabataba'i University, Tehran, Iran
3 Assistant Prof., Department of Publicmanagement, Faculty of Management and Accounting, Allameh Tabataba'i University, Tehran, Iran
4 Associated Prof., Department of Publicmanagement, Faculty of Management and Accounting, Allameh Tabataba'i University, Tehran, Iran
Abstract
One of the new research domain which affect managers, researchers and scientific approaches is ambidexterity and its effect on all aspects of organizations. This means that how an organization can benefit from using simultaneously mechanisms of exploration and exploitation, and efficiency and innovation and be successful. In this paper authors reviewed the literature and theoretical foundations in the area of ambidextrous learning and its interaction with the intellectual capital (human capital, social capital and organizational capital) to adapt and develop an ambidextrous learning in organizations. Designed model is consistent with the logic of ambidexterity mode and is used 90 degree crossed modes to show results. In order to test the model, a questionnaire distributed among the senior executives of pharmaceutical industry. Companis data analyzed using content analysis and application of Max QDa. The results showed that for developing ambidextrous learning in organizations, all aspects of intellectual capital are needed to be Simulated Ranked with the concept of ambidextrous learning.
Keywords

 
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