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Research and Selection of the Optimal Reputational Model in b2b Segment

Student: Viktoriya Semakova

Supervisor: Tatiana Yakushkina

Faculty: Graduate School of Business

Educational Programme: Business Informatics (Bachelor)

Year of Graduation: 2018

The following work is devoted to the choice of the optimal model for quantitative estimation of reputation of agents in B2B sector. This market segment has its features, that is why multiple models used in social networks were analysed, their strong and weak sides were determined. Also reputation models currently used in B2B and B2C markets were analysed. The current study has shown that most social networks employ simple models of simple summation, which possess a number of drawbacks, also discussed in the research. The main outcome of the study was the estimation of the companies' reputation based on the chosen model and the recommendations for the implementation of the given model.

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