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News
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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Exploring Consumer Perceptions of Technological Innovations and Payment Systems in China-Pakistan Cross-Border E-Commerce: A Hybrid Sem and AI-Driven Approach

SSRN Working Papers. 2025. P. 00–00.
Iqbal V., Malik M. S., Ain Q. U., Ali I., Ahmed W.

Cross-border e-commerce (CBEC) is reshaping global trade, yet disparities in technological readiness hinder its uniform adoption. While China has established an advanced digital ecosystem through artificial intelligence (AI), secure logistics, and digital payments, Pakistan lags behind due to low digital trust, reliance on cash transactions, and infrastructural constraints. This study explores Pakistani consumers’ perceptions of technological innovations and payment systems in China–Pakistan CBEC, addressing barriers of trust, security, and digital payment adoption. Building on the Technology Acceptance Model (TAM), this research integrates Trust in Technology (TR) and Digital Payment Preference (DPP) to extend its explanatory capacity. A hybrid methodology combining Structural Equation Modeling (SEM) with AI-based techniques was employed. Data were collected from 450 Pakistani consumers experienced in CBEC platforms such as Alibaba, Daraz Global, and AliExpress. SEM tested hypothesized relationships among Perceived Usefulness (PU), Perceived Ease of Use (PEOU), TR, DPP, and Behavioral Intention (BI). Complementing this, AI-driven clustering and Natural Language Processing (NLP) identified consumer subgroups and thematic patterns in qualitative responses. Findings indicate that PEOU significantly influences PU and TR, both of which strongly predict BI. DPP emerged as a critical determinant of adoption, mediating the link between PEOU and BI. AI clustering revealed distinct consumer profiles: risk-averse users reliant on cash, digitally literate adopters embracing mobile wallets, and transitional users shaped by social influence. Sentiment analysis further emphasized concerns about fraud, payment security, and weak regulatory enforcement. This study contributes by enhancing TAM with trust and payment constructs, offering a more nuanced lens for adoption in emerging economies. Practically, it provides insights for policymakers and businesses to promote CBEC adoption through secure payment systems, localized trust-building mechanisms, and AI-enabled personalization strategies tailored to Pakistani consumers.

Research target: Economics and Management
Language: English
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Keywords: электронная коммерцияcross-border e-commercestructural equation modeling (SEM)Technology Acceptance Modelмодель принятия технологийанализ данных и искусственный интеллектtrust in technology artificial intelligenceDigital PaymentsЦифровые платежиДоверие к технологиямМоделирование структурных уравнений
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