Abdolmanafi, Saeed, Majdameli, Mohammad, Neghabi, Aliakbar, Izadi, Soamyeh. (1403). 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. سامانه مدیریت نشریات علمی, 5(9), 236-258. doi: 10.22054/dcm.2022.68395.1105
Saeed Abdolmanafi; Mohammad Majdameli; Aliakbar Neghabi; Soamyeh Izadi. "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". سامانه مدیریت نشریات علمی, 5, 9, 1403, 236-258. doi: 10.22054/dcm.2022.68395.1105
Abdolmanafi, Saeed, Majdameli, Mohammad, Neghabi, Aliakbar, Izadi, Soamyeh. (1403). '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', سامانه مدیریت نشریات علمی, 5(9), pp. 236-258. doi: 10.22054/dcm.2022.68395.1105
Abdolmanafi, Saeed, Majdameli, Mohammad, Neghabi, Aliakbar, Izadi, Soamyeh. 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. سامانه مدیریت نشریات علمی, 1403; 5(9): 236-258. doi: 10.22054/dcm.2022.68395.1105

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

Journal of Digital Content Management
مقاله 11، دوره 5، شماره 9، 2024، صفحه 236-258    اصل مقاله (935.41 K)
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.22054/dcm.2022.68395.1105
نویسندگان
Saeed Abdolmanafi* 1؛ Mohammad Majdameli2؛ Aliakbar Neghabi3؛ Soamyeh Izadi4
1Assistant Professor, Department of Business Management, Payame Noor University, Tehran, Iran
2Professor, Department of Economics, Faculty of Economics and Accounting, Islamic Azad University, Tehran Markaz Branch, Iran
3Assistant Professor, Faculty of Computer Engineering, Sabzevar Branch, Islamic Azad University, Sabzevar, Iran
4Ph.D. Candidate in Information Technology Engineering, Electronic Commerce, Islamic Azad University, Sabzevar Branch, Iran
چکیده
Purpose: The purpose of this research was to provide a model for choosing the best content for the activity of service guilds.
Method: In inferential statistics, the K-S test is used for the normality of research hypotheses. For this purpose, Pearson's correlation coefficient and linear regression tests have been used through SPSS 21 software, and the best content generated using genetic algorithms and forbidden search were introduced.
Findings: 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.
Conclusion: In this article, a combination model of genetic algorithm and forbidden search algorithm was chosen for users so that the best content, which of course does not contain malicious ads and cookies, etc., is introduced for the continuation of the service industry.
کلیدواژه‌ها
Brand and Advertising Dimensions؛ Media Dimensions؛ Instagram؛ Prohibited Search Algorithm؛ Genetic Algorithm
مراجع
آمار
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