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August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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Modeling the Role of Service Quality, Customer Satisfaction and Customer Loyalty in Building Service Brand Equity

International Journal of Asian Business and Information Management. 2019. Vol. 10. No. 2. P. 55–72.
Zameer H., Ying W., Yasmeen H., Ahmed W.

This study comprehends a framework for measuring strength of service brands in service industry of Pakistan using three fundamental pillars in building service brand equity i.e. service quality, customer satisfaction and customer loyalty. The results validated through the structural equation modeling (SEM) indicates the significance of customer loyalty that is contingent to satisfied customers. Moreover, in the context of service sector organizations, customer satisfaction is highly dependent on service quality. The mediation testing further indicates that customer satisfaction mediates and strengthens the relationship between service quality and customer loyalty, while, the latter fully mediates the relationship between customer satisfaction and service brand equity. Based upon the findings, this study develops a pyramid of building service brand equity. Finally, theoretical and managerial implications have been discussed.

Research target: Economics and Management Psychology
Language: English
DOI
Keywords: qualitybrand equitycustomersServicesstructure equation modeling
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