Fuzzy Systems and its Applications

Fuzzy Systems and its Applications

Fuzzy MARCOS multicriteria decision-making technique for choosing the right influencer for advertising of drinking companies in social networks (Case study: Bismark drinking company)

Document Type : Original Article

Authors
1 Department of Computer Science, Faculty of Mathematical Sciences, Shahrood University of Technology
2 Department of Applied Mathematics and Computer Science, Faculty of Mathematical Sciences, Shahrood University of Technology, Shahrood, Iran
10.22034/jfsa.2025.477241.1242
Abstract
By the increase in the number of production units of food and drinking industries in the country, a competitive marketing has been created between different brands producing these products. Therefore,, advertising in the field of social networks, especially in the last decade, has been one of the most common advertising solutions for various brands. The purpose of this research is to use the new fuzzy multicriteria decision-making method, called fuzzy MARCOS method, to select a suitable Instagram influencer for the advertising of drinking companies. By studying the theoretical and experimental background as well as a survey of experts in this field, twenty effective criteria on the selection of influencers for advertising were identified and ranked, and finally the seven best criteria were selected. Thereafter, the opinions of eight managers of the studied drinking company (Bismark Company) and experts familiar with the research were used to determine the weight of the criteria. Then, five selected influencers were ranked using fuzzy MARCOS multicriteria decision-making method. Using the fuzzy MARCOS multicriteria decision-making method in the field of branding and advertising in the context of social networks is one of the most important achievements of this research.
Keywords
Subjects

 
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Volume 7, Issue 2 - Serial Number 15
Open Access Statement
December 2024
Pages 111-134

  • Receive Date 06 September 2024
  • Revise Date 01 November 2024
  • Accept Date 13 January 2025