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All Journal Emerging Science Journal
Ponkratov, Vadim
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Environmental Science

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A New Concept of Transforming Service: Impact of Generative Voice Chatbots on Customer Satisfaction and Banking Industry Productivity Kondybayeva, Saltanat; Daribayeva, Meruyert; Fiume, Raffaele; Abilda, Symbat; Staroverova, Olga; Ponkratov, Vadim; Vatutina, Larisa; Shapoval, Galina; Mikhina, Elena; Nikolaeva, Irina
Emerging Science Journal Vol 8, No 6 (2024): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2024-08-06-09

Abstract

This study examines the impact of implementing generative AI voice chatbots on customer expectations and satisfaction in the banking sectors of Kazakhstan, Russia, and Italy. To achieve this objective, this study conducted a survey of 253 customers from 35 commercial banks in Kazakhstan, Russia, and Italy from November 2023 to early April 2024. This study employed partial least squares structural equation modelling (PLS-SEM) to assess and validate the validity and reliability of the research model. The study integrates the Expectation Confirmation Model with AI components to analyze factors influencing customer satisfaction with AI-enabled digital banking services. Key findings indicate that expectation confirmation, perceived performance, visual attractiveness, problem-solving capabilities, and communication quality significantly affect customer satisfaction with AI chatbots. However, trendiness and customization features showed minimal impact. The research also explores how customer satisfaction and corporate reputation influence chatbot adoption. Additionally, the study investigates the relationship between chatbot adoption and productivity performance in banking operations. The study provides several policy recommendations, including enhancing perceived performance, expectation confirmation, communication quality, visual attractiveness, and corporate reputation, which can improve customer satisfaction and increase confidence in generative AI voice chatbots in the digital banking industry. Doi: 10.28991/ESJ-2024-08-06-09 Full Text: PDF
Energy Price Impact on BRIC Stock Markets: A Granger Causality Analysis Pessoa, Gustavo; Ponkratov, Vadim; Philippov, David; Shvyreva, Olga; Kuznetsov, Nikolay; Elyakova, Izabella; Mikhina, Elena; Kotova, Natalya; Pozdnyaev, Andrey; Durmanov, Akmal; Bloshenko, Tatiana
Emerging Science Journal Vol 8, No 6 (2024): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2024-08-06-015

Abstract

Energy prices and the stock market are two of the crucial factors in the evolving landscape of global finance, particularly in major emerging economies. However, research on how energy price changes impact stock markets in BRIC countries remains limited, despite their diverse roles in global energy markets and economies. This study investigates the causal dynamics between energy prices and stock market performance in BRIC countries, aiming to uncover short-term fluctuations and long-run relationships in these major emerging economies. Utilizing daily data from 2013 to 2023, stationarity tests, cointegration analysis, and Granger causality tests are employed to examine these relationships. Key findings reveal weak evidence of a long-run equilibrium between energy prices and stock market indices, challenging previous assumptions about their cointegration. More significantly, the findings uncovered a strong unidirectional Granger causality from oil prices to all BRIC stock market indices, while gas prices show a more selective influence. Notably, no evidence of reverse causality from stock markets to energy prices was found, highlighting the exogenous nature of global energy prices in relation to BRIC stock markets. This study uniquely analyzes oil and gas price effects on BRIC stock markets, offering insights for investors and policymakers amid increasing commodity-financial market integration. Doi: 10.28991/ESJ-2024-08-06-015 Full Text: PDF
The Modern University’s Mission and Transformation: Addressing Challenges in a Multipolar World Davletova, Ainash; Orazova, Nazerke; Renobell, Víctor; Khairullin, Rafael; Ponkratov, Vadim; Burmykina, Irina; Savenko, Natalya; Dudnik, Olesya
Emerging Science Journal Vol 9, No 1 (2025): February
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-09-01-022

Abstract

In the modern higher education sphere, universities’ ability to adapt has become more vital to their success and longevity. This study investigates the influence of leadership, technological innovation, sociopolitical engagement, skill and curriculum development, institutional collaboration, and governmental regulatory frameworks on university adaptability. Quantitative research was conducted by surveying 980 participants from various institutions in Kazakhstan, Russia, and Spain, using a standardized questionnaire. Structural equation modeling was employed to analyze variable connections. The findings suggest that leadership (β = 0.32, p < 0.001), technological innovation (β = 0.28, p < 0.001), sociopolitical engagement (β = 0.19, p < 0.001), and curriculum and skills development (β = 0.25, p < 0.001) have a substantial positive impact on the adaptability of universities. Furthermore, the mediation analysis demonstrated that institutional collaboration partially mediated the relationship between university adaptability and both leadership (indirect effect = 0.14, p < 0.01) and technological innovation (indirect effect = 0.12, p < 0.01). Additionally, moderation analysis verified that the government regulation framework substantially moderated the effects of leadership (β = 0.15, p = 0.02) and technological innovation (β = 0.10, p = 0.03) on university adaptability. These findings emphasize the importance of new technologies, effective leadership, and institutional collaboration for improving university adaptability. Doi: 10.28991/ESJ-2025-09-01-022 Full Text: PDF
Modeling and Forecasting the Dynamics of BRICS Socioeconomic Integration in Context of Global Economic Fragmentation Pessoa, Gustavo; Vlasova, Yulia; Shkalenko, Anna; Kaldibayev, Nurlan; Ponkratov, Vadim; Kuznetsov, Nikolay; Elyakova, Izabella; Bloshenko, Tatiana; Kireeva, Elena; Romanenko, Elena
Emerging Science Journal Vol. 9 No. 5 (2025): October
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-09-05-029

Abstract

This research aims to model and forecast the trajectory of socioeconomic integration between the BRICS countries and Turkey in the context of deglobalization and escalating geoeconomic fragmentation. The study evaluates the impact of external shocks, including the updated US tariff regime, trade conflicts, global downturns, sanctions pressure, and institutional limitations, on the sustainability and intensity of intra-bloc engagement. Employing a comparable panel time series from 2000 to 2023 for a selected set of countries, we apply several econometric methods for the first time in a unified framework: panel ARDL, Dumitrescu-Hurlin panel Granger causality tests, impulse response functions, variance decomposition, and ARIMA forecasting up to 2030. The empirical analysis results show that regional financial integration, infrastructure development, and R&D have a statistically significant and persistently positive impact on intra-bloc trade volumes and socioeconomic cooperation between BRICS countries and Turkey. Simultaneously, digital connectivity shows a short-term stimulating effect followed by phase saturation, indicating the need for the structural modernization of the digital environment. Institutional attributes exhibit heterogeneous effects, underscoring the necessity of harmonizing regulatory frameworks and aligning them with international sustainable development standards. The scientific novelty of this study resides in the design and empirical validation of an advanced forecasting model that incorporates institutional, infrastructural, innovation-related, and digital dimensions. This study delineates integration scenarios for BRICS and Turkey intended to inform strategies for regional macroeconomic coordination, establish transaction mechanisms based on national currencies, and define balanced investment priorities within the transition toward a multipolar global governance architecture.
Co-Authors Abilda, Symbat Bloshenko, Tatiana Burmykina, Irina Daribayeva, Meruyert Davletova, Ainash Dudnik, Olesya Durmanov, Akmal Elyakova, Izabella Fiume, Raffaele Kaldibayev, Nurlan Khairullin, Rafael Kireeva, Elena Kondybayeva, Saltanat Kotova, Natalya Kuznetsov, Nikolay Mikhina, Elena Nikolaeva, Irina Orazova, Nazerke Pessoa, Gustavo Philippov, David Pozdnyaev, Andrey Renobell, Víctor Romanenko, Elena Savenko, Natalya Shapoval, Galina Shkalenko, Anna Shvyreva, Olga Staroverova, Olga Vatutina, Larisa Vlasova, Yulia