ORCID Profile
0000-0002-5135-5237
Current Organisation
Iran University of Science and Technology
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Publisher: Elsevier BV
Date: 05-2007
Publisher: IEEE
Date: 2010
DOI: 10.1109/ISMS.2010.48
Publisher: IEEE
Date: 2010
DOI: 10.1109/ISMS.2010.49
Publisher: Inderscience Publishers
Date: 2006
Publisher: Springer Science and Business Media LLC
Date: 18-05-2013
Publisher: Inderscience Publishers
Date: 2011
Publisher: Emerald
Date: 06-2010
DOI: 10.1108/00251741011043876
Abstract: This paper aims to empirically explore the effects of intellectual property (IP) on intellectual capital (IC) and firm performance in Iran. A questionnaire‐oriented survey from senior and top managers in the Iranian computer and electronic industry was utilized for regression analysis. The findings indicate that IP significantly influences other dimensions of IC, which consists of human capital (HC), relational capital (RC) and structural capital (SC). The study also provides empirical evidence that gaining firm performance is positively related to these three elements of IC. First, more advanced statistical techniques with a larger number of respondents could be used to evaluate the regression equations. Second, the companies chosen for the study are from two specific and fairly similar industries in Iran. Thus, the results may not be applicable to other industries in different countries. With a broad view on IP that considers its creation, protection and utilization too, IP has a central role in knowledge‐based organizations to enhance competitive advantage. This study builds on and extends the research made by Bollen et al., to link IP and IC to company performance. The paper focuses on the effects of IP on other parts of IC.
Publisher: World Scientific Pub Co Pte Lt
Date: 02-2007
DOI: 10.1142/S0218488507004406
Abstract: The establishment of the priorities from pairwise comparison matrices is the major constituent of the Analytic Hierarchy Process (AHP). However, the number of pairwise comparisons necessary in real problems often becomes overwhelming. In such cases, generally the experts are not able to answer all questions and consequently sparse judgment matrix is generated which caused "equal ranks" and "rank reversal" based on AHP method. In this paper, a new ranking system (FARSJUM) is developed for such sparse judgment matrix. The system is constructed on fuzzy rules and fuzzy reasoning methods. The numerical ex le of world cup soccer tournament is brought to clarify the performance of the developed system comparing with AHP method in ranking the sparse judgment matrices.
Publisher: Elsevier BV
Date: 09-2006
Publisher: Elsevier BV
Date: 06-2005
Location: Iran (Islamic Republic of)
Location: Iran (Islamic Republic of)
Location: Iran (Islamic Republic of)
No related grants have been discovered for Mohammad Reza Gholamian.