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کاربران مهمان: 139
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Helping relief campaigns: Social cognitive factors underlying important issues using structural equation modelling
Abstract:

Natural disasters which are happening around the world have put a huge burden on local and international charities in the last few years. The present study intends to examine and explore the underlying factors that cause the turnaround of people to charitable behavior. Which is based on social cognitive theory. The factor “News exposure” has also been added to the model. In this study, an already existing expanded model by Oosterhof et al. was also modified. Donation to disaster relief campaigns: Underlying social cognitive factors exposed. For the purpose of conducting the study, a list of 411 people of Tehran's Red Crescent Society’ staff was prepared which among them 199 people were randomly selected and the questionnaires were distributed between them. In this study, the five-item Likert-type Scale was used. Amos18 software and SEM (structural equation modeling) statistical technique were used for data analysis. Furthermore, the modified model explained more than one-third of the variance of the intention to donate to a disaster relief campaign. The first, second, fourth, eighth, and tenth hypotheses were confirmed and the third, fifth, sixth, seventh, ninth, and eleventh hypotheses were rejected. The greatest predictor of the intention to donate proved to be “Intention to donate to charity.” The factor “Attitude toward donation” was indicated to be a valuable additional factor and it turned out that it had a significant total effect on “ Intention to donate to a disaster relief campaign”. The factor “News exposure” was shown not to have a significant overall effect on “ Intention to donate to a disaster relief campaign”.

Keywords: donation; social cognitive theory; disaster relief campaigns
Author(s): غلامرضا رسولی ، کریم حمدی
Source: Cogent Business & Management Volume 7, 2020 - Issue 1
Subject: بازاریابی
Category: مقاله مجله
Release Date: 1399
No of Pages: 23
Price(Tomans): 9000
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