University of Tehran Press Organizational Culture Management 2423-6942 16 1 2018 03 21 Identify Cultural Barriers Iran Administrative System Faces Identify Cultural Barriers Iran Administrative System Faces 67 87 65642 10.22059/jomc.2018.201229.1006757 FA Hamed Mohammadi Ph.D. Student, Faculty of Management & Accounting, Qazvin Islamic Azad University, Qazvin, Iran Seyed Mahdi Alvani Professor, Faculty of Management & Accounting, Allameh Tabatabaii University, Tehran, Iran Gholam Reza Memarzade Tehran Associate Professor, Faculty of Management & Accounting, Qazvin Islamic Azad University, Qazvin, Iran Naser Hamidi Associate Professor, Faculty of Management & Accounting, Qazvin Islamic Azad University, Qazvin, Iran Journal Article 2016 04 02 The purpose of this survey is to identify cultural barriers the administrative system of Iran faces. Considering the existing theoretical basis and library studies, 21 cultural characteristics have been identified which the administrative system of Iran comes up with as obstacles. Delphi Method is applied to collect data. Fuzzy method is used to analyze data, and in order to cluster cultural characteristics, k-means clustering method is used. Fuzzy clustering is done for three modes in k-means algorithm, based on which fuzzy clustering with three branches is the optimal cluster. Fuzzy method shows that cultural characteristics like authority and hierarchy, low confidence in each other, favoritism, and nepotism, weakness in meritocracy and general irrational culture are the most average. Therefore, they are the characteristics the administrative system of Iran considers as the obstacles. The purpose of this survey is to identify cultural barriers the administrative system of Iran faces. Considering the existing theoretical basis and library studies, 21 cultural characteristics have been identified which the administrative system of Iran comes up with as obstacles. Delphi Method is applied to collect data. Fuzzy method is used to analyze data, and in order to cluster cultural characteristics, k-means clustering method is used. Fuzzy clustering is done for three modes in k-means algorithm, based on which fuzzy clustering with three branches is the optimal cluster. Fuzzy method shows that cultural characteristics like authority and hierarchy, low confidence in each other, favoritism, and nepotism, weakness in meritocracy and general irrational culture are the most average. Therefore, they are the characteristics the administrative system of Iran considers as the obstacles. https://jomc.ut.ac.ir/article_65642_84859c2308aca8110ee46fef30a20905.pdf