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bakhshayeshiardestani S, danaye A, faezi razi F. Presenting a viral recovery model in the elections of the Islamic Consultative Assembly in the tenth and eleventh terms. پژوهشهاي سياسي جهان اسلام. 2020; 10 (3) :1-40
URL: http://priw.ir/article-1-1292-en.html
1- PhD Student, Department of Business Management, Semnan Branch, Islamic Azad University, Semnan, Iran.
2- Assistant Professor, Department of Media Management, Semnan Branch, Islamic Azad University, Semnan, Iran
3- Assistant Professor, Department of Industrial Management, Semnan Branch, Islamic Azad University, Semnan, Iran.
Abstract:   (1375 Views)
Today, viral marketing with benefits such as lower cost and greater effectiveness, has become an ideal option for advertising strategy. This study was conducted with the aim of presenting a viral recovery model in the elections of the Islamic Consultative Assembly in the tenth and eleventh terms of Iran. Required data were collected using a questionnaire. The statistical population in this study included members of the Islamic Consultative Assembly in the tenth and eleventh terms. To determine the sample size, a lottery was used and by dividing the country geographically into five regions of east, west, north, south and center, one province was selected from each region by lot. They were selected in the western region of Ilam province, in the east of Khorasan Razavi province, in the north of Gilan province, in the south of Khuzestan province and in the central region of Yazd province. The number of representatives of these provinces in the two tenth and eleventh terms of the Islamic Consultative Assembly was 112, which was determined using a simple random sampling method and Cochran's formula of 87 people. After collecting the data, these data were analyzed using Smart PLS software and the relationships between the components of the model, which were presented as nine hypotheses, were also confirmed, which indicates the explanation of the research model.
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Type of Study: Research | Subject: Special
Received: 2020/06/28 | Accepted: 2020/10/1 | Published: 2020/10/10

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