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The Impact of Content Produced on Instagram Social Network on Successful Economic Services of Isfahan in Corona Crisis Using a Combination of Genetic Algorithm and Forbidden Search Algorithm | ||
| International Journal of Digital Content Management | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 06 مهر 1402 | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.22054/dcm.2022.68395.1105 | ||
| نویسندگان | ||
| Saeed Abdolmanafi* 1؛ Mohammad Majdameli2؛ Aliakbar Neghabi3؛ Soamyeh Izadi4 | ||
| 1Department of Business Management, Payame Noor University, Tehran, Iran | ||
| 2Department of Economics, Faculty of Economics and Accounting, Islamic Azad University, Tehran Markaz Branch, Iran | ||
| 3Faculty of Computer Engineering, Sabzevar Branch, Islamic Azad University, Sabzevar, Iran | ||
| 4PhD Student in Information Technology Engineering, Electronic Commerce, Islamic Azad University, Sabzevar Branch, Iran | ||
| چکیده | ||
| With the prolongation of the Corona crisis and the restrictions imposed on businesses have undoubtedly created many problems for business owners. In this study, the performance of Isfahan service industries in using information technology software on content management produced in the social network Instagram has been studied. Based on qualitative research, four dimensions as performance and efficiency criteria for Instagram, namely advertising dimensions, psychological psychological dimensions, Brand dimensions and media dimensions are examined by preparing a standard questionnaire. The aim is to examine the role of information technology on the content produced on Instagram on successful economic service industries. Since the dimensions of advertising and brand and media are based on information technology, the content produced on Instagram as the organization's software resources is selected based on a combination of genetic algorithm and forbidden search algorithm for users to the best content that of course does not contain malicious ads. Cookies, etc., to be recognized for continuing the service class. Frequency distribution tables based on the number of absolute and relative items; column percentages are usually used to display the results. In inferential statistics, K-S test is used to normalize research hypotheses. For this purpose, Pearson correlation coefficient and linear regression tests using SPSS 21 software are used. Analysis of research and implementation results with two collective intelligence algorithms shows that Instagram has a positive and significant effect on all four dimensions and thus leads to the success of the service classes that have used Instagram. | ||
| کلیدواژه‌ها | ||
| Brand and Advertising Dimensions؛ Media Dimensions؛ Instagram؛ Prohibited Search Algorithm؛ Genetic Algorithm | ||
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آمار تعداد مشاهده مقاله: 15 |
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