The Influence of Cultural Organization on the Application of Social Networks Based on New Technologies in Astara Customs Organization

Abstract

In the world of scientific communication, social networks can be considered as effective platforms in the production of science, sharing ideas, personal and social development. The goal of social network is to promote the level of science by providing communication possibility between individual capital and forming social capital. The general goal of every social network is to create social capital and facilitate communication between experts, artists and different professionals etc. Therefore, this research tries to consider “The influence of cultural organization on the application of social networks based on new technologies in Astara customs organization”. Since we have detailed information about the number of experts in Astara customs organization, the statistical population considered limited that includes 138 persons, according to Morgan table; the statistical sample consists of 103 persons. In this research, both library and field methods are used for data collection. By using library method and studying books, articles, other researches and the existing information on the internet that are in the area of research interest, used for background and research literature and definition of indices. In this research, by using experts and professors’ view, the factors associated with the subject are identified and preliminary questionnaire is provided using Likert rating scale. After determining its validation by identifying validity and for assessing reliability of questionnaire, Cronbach’s Alpha for using Likert is used and final questionaries and required information are collected. Descriptive and inferential statistics used for analysis the data, descriptive statistics including the average frequency distribution table, standard deviation and etc. to answer to research questionaries’ and conclusion of inferential statistics methods different tests by using SPSS22 and Smart Plc software: for normality of data, from the pearson correlation coefficient, MultiMate regression analysis, confirmatory factor analysis, to confirm the identification of questions and keywords of each component and structural equation modeling technique to study collected data mode Kolmogorov -Smirnoff test been used.

DOI: 10.5901/mjss.2016.v7n4S1p171