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News
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Ex-post customer reference effects of lead-time quotation in an online waiting experiment

Journal of Retailing and Consumer Services. 2027. Vol. 94. Article 105064.
Pavlov V., Mogre R., Olsen T.
In press

Retailers and service providers routinely quote waits for deliveries, collections, appointments, and digital support. These quotes shape expected durations and customers’ ex-post evaluations. We examine how realized waits and deviations from quoted waits affect overall satisfaction, satisfaction with waiting time, and satisfaction with quote accuracy. In a randomized online waiting experiment, U.S. MTurk workers received a quoted wait, experienced a realized wait, and then reported satisfaction; primary analyses use participants who confirmed completion and completed the measures. Longer realized waits reduced satisfaction, and later-than-quoted completion robustly lowered the framed, transaction-level overall-satisfaction item. Deviations in either direction reduced satisfaction with quote accuracy, whereas earlier-than-quoted completion neither reliably improved nor reliably harmed overall satisfaction. The findings show that quote accuracy is a distinct evaluative dimension and that early and late completion have asymmetric consequences for customer evaluations. For managers, the results support avoiding lateness, improving quote accuracy, and updating customers when completion times change, especially in short digitally mediated waits where customers use quoted times to plan their attention.

Research target: Economics and Management
Language: English
DOI
Text on another site
Keywords: customer satisfactionService design experimental designLead-time quotationCustomer waitingQuote accuracyEx-post reference effectsWaiting-time estimatesFiller activities
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