https://cajitmf.casjournal.org/index.php/CAJITMF <p style="text-align: justify;"><strong>Central Asian Journal of Innovations on Tourism Management and Finance (ISSN: 2660-454X)</strong> is an interdisciplinary, high-impact, open-access journal that publishes scholarly research across a wide spectrum of economic and management disciplines, with a special emphasis on tourism, finance, and related fields. The journal welcomes diverse contributions, including original research, case studies, theoretical papers, surveys, reviews, and articles on emerging trends and global innovations. With a commitment to a fast and rigorous peer-review process, the journal ensures that submissions are both relevant and of high quality, advancing academic and practical knowledge in tourism, finance, and broader economic sectors. Contributions from other economic and management disciplines are also encouraged, fostering a multidisciplinary approach that bridges theory and practice.</p> Central Asian Studies en-US Central Asian Journal of Innovations on Tourism Management and Finance 2660-454X <p>In submitting the manuscript to the <strong>Central Asian Journal of Innovations on Tourism Management and Finance</strong>, the authors certify that:</p> <ul> <li class="show">They are authorized by their co-authors to enter into these arrangements.</li> <li class="show">The work described has not been formally published before, except in the form of an abstract or as part of a published lecture, review, thesis, or overlay journal.</li> <li class="show">That it is not under consideration for publication elsewhere,</li> <li class="show">The publication has been approved by the author(s) and by responsible authorities – tacitly or explicitly – of the institutes where the work has been carried out.</li> <li class="show">They secure the right to reproduce any material that has already been published or copyrighted elsewhere.</li> <li class="show">They agree to the following license and copyright agreement.</li> </ul> <p><strong>License and Copyright Agreement</strong></p> <p>Authors who publish with <strong>Central Asian Journal of Innovations on Tourism Management and Finance</strong>&nbsp;agree to the following terms:</p> <ol> <li class="show">Authors retain copyright and grant the <strong>Central Asian Journal of Innovations on Tourism Management and Finance</strong>&nbsp;right of first publication with the work simultaneously licensed under <strong>Creative Commons Attribution License</strong> <strong><a href="http://creativecommons.org/licenses/by/4.0/">(CC BY 4.0)</a></strong> that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.</li> <li class="show">Authors can enter into separate, additional contractual arrangements for the non-exclusive distribution of the <strong>Central Asian Journal of Innovations on Tourism Management and Finance</strong>&nbsp;published version of the work (e.g., post it to an institutional repository or edit it in a book), with an acknowledgment of its initial publication in this journal.</li> <li class="show">Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) before and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.</li> </ol> https://cajitmf.casjournal.org/index.php/CAJITMF/article/view/1326 <p>The integration of artificial intelligence into sustainable finance is becoming an important factor in the transformation of emerging financial markets. While sustainable finance aims to mobilize capital for environmental, social and climate-related objectives, artificial intelligence provides advanced tools for data processing, risk assessment, ESG analysis, investment screening and regulatory supervision. This article examines the opportunities, risks and regulatory challenges associated with AI-powered sustainable finance in emerging financial markets. The study is based on a systematic literature review and conceptual analysis of academic publications, policy reports and institutional documents related to artificial intelligence in finance, ESG analytics, climate finance, financial stability and regulatory governance. The findings show that AI can support sustainable finance through improved ESG data analytics, climate-risk modelling, green investment screening, sustainable lending, fraud detection and financial inclusion. However, the adoption of AI also creates significant risks, including algorithmic bias, low data quality, model opacity, cybersecurity threats, greenwashing, regulatory lag and unequal access to digital financial infrastructure. The article proposes a conceptual framework linking AI tools, sustainable finance functions, expected benefits, potential risks and regulatory responses. The study concludes that AI-powered sustainable finance can contribute to sustainable development in emerging financial markets only if it is supported by transparent data governance, explainable AI models, cybersecurity standards, ethical principles and adaptive regulation.</p> Allanazarova Bibinaz Zarekeev Ajiniyaz Aymuratov Islambek Kamalatdinovich Copyright (c) 2026 Central Asian Journal of Innovations on Tourism Management and Finance https://creativecommons.org/licenses/by/4.0 2026-06-29 2026-06-29 7 4 1 8 10.51699/cajitmf.v7i4.1326 https://cajitmf.casjournal.org/index.php/CAJITMF/article/view/1327 <p>This paper econometrically assesses the entrepreneurial efficiency of private educational institutions in Namangan region of Uzbekistan based on quarterly data from LSL (Learning Skills Lab) center in 2017–2024 (32 observations). Several log-linear regressions were estimated in Stata, employing a step by step procedure—correlation criteria, lag term tests, log transformation, VIF test and elimination of insignificant regressors. Dependent variable: profit; independent regressors: students flow, number of courses, branches, monthly fee per student, professors’ qualification, advertising cost, infra-structure cost, incurrent investments. The conclusions of the study deny the perfect managerial strategy and encourage a flexible institution-focused strategy—development of retailed admission levels and consumer oriented prices, optimal service levels, appraisal of branches.</p> Abdusattorov Sodikjon Copyright (c) 2026 Central Asian Journal of Innovations on Tourism Management and Finance https://creativecommons.org/licenses/by/4.0 2026-06-30 2026-06-30 7 4 9 14 10.51699/cajitmf.v7i4.1327 https://cajitmf.casjournal.org/index.php/CAJITMF/article/view/1324 <p>This article examines the innovation-driven competitiveness of the service sector in the era of artificial intelligence. The study explores the role of artificial intelligence technologies in enhancing service quality, operational efficiency, customer experience, and sustainable business development. Comparative, analytical, and systematic research methods were employed to assess the relationship between artificial intelligence, innovation, and competitiveness within the service sector. The findings indicate that the integration of AI-based solutions contributes significantly to productivity growth, service personalization, cost reduction, and the creation of competitive advantages. Furthermore, the study highlights the importance of digital transformation and innovation-oriented strategies in strengthening the long-term competitiveness of service enterprises. Based on the research findings, practical recommendations are proposed to support the effective implementation of artificial intelligence technologies and foster sustainable development in the service sector.</p> A'zamova Feruza Abduholiq qizi Kuldoshev Lazizjon Sharifovich Copyright (c) 2026 Central Asian Journal of Innovations on Tourism Management and Finance https://creativecommons.org/licenses/by/4.0 2026-06-30 2026-06-30 7 4 15 19 10.51699/cajitmf.v7i4.1324 https://cajitmf.casjournal.org/index.php/CAJITMF/article/view/1330 <p>A sport tourism resource, when deployed in the process of delivering sport tourism services, yields a defined economic and social effect. However, the output of each resource in the sport tourism sector is bounded and is characterised by its finiteness. This article provides a scientific examination of the essence and the theoretical–methodological foundations of sport tourism resources. Drawing on scientific analysis, a comparative approach, survey data and the study of statistical sources, the paper classifies sport tourism resources into five interrelated categories—natural, infrastructural, financial, technological and labour resources—and evaluates their role in the sustainable development of sport tourism in the mountainous regions of Uzbekistan. Using the Omonqo‘ton (Amankutan) area of the Urgut district, Samarkand region, as a case study, the study assesses the territory’s potential for establishing a sustainable sport tourism zone. The results indicate that the country’s national nature parks alone hold a development potential of more than 213,000 hectares, and that several mountain districts of the Samarkand region possess a high capacity to form sustainable sport tourism zones. The study concludes that the rational, balanced and complementary use of an integrated resource base is the principal precondition for the efficient and sustainable development of sport tourism.</p> Jalol Abdujalilovich Kalandarov Copyright (c) 2026 Jalol Abdujalilovich Kalandarov https://creativecommons.org/licenses/by/4.0 2026-07-01 2026-07-01 7 4 20 31 10.51699/cajitmf.v7i4.1330 https://cajitmf.casjournal.org/index.php/CAJITMF/article/view/1331 <p>Land degradation and desertification are among the most pressing threats to arid regions, yet the same degraded landscapes increasingly attract visitors drawn by their stark beauty, their scientific interest and their cautionary environmental narratives. This article asks how tourism can be developed sustainably in such settings, using the Aral Sea region of Uzbekistan - and the autonomous Republic of Karakalpakstan in particular - as a critical case. The desiccation of the Aral Sea, the emergence of the Aralkum salt desert and the resulting salt-and-dust storms constitute one of the most severe human-induced environmental disasters of the modern era. Drawing on reports of the World Tourism Organization (UN Tourism), the World Economic Forum and the United Nations Development Programme, peer-reviewed literature, and policy documents, the study uses a qualitative case-study design to develop a typology of tourism forms suited to degraded arid landscapes and a multi-level framework of the mechanisms - regulatory, economic, capacity-related and knowledge-based - required to make such tourism sustainable. The results show that the degraded landscape can function as a legitimate and valuable tourism resource when four conditions are met: visitor pressure is matched to ecological carrying capacity; revenue is recycled into restoration such as saxaul afforestation of the dried seabed; local communities own a meaningful share of the value created; and the ethical hazards of profiting from catastrophe are managed through interpretation and education. The article positions tourism not as a stand-alone sector but as one instrument within an integrated green-economy and ecological-restoration agenda, and discusses the principal tensions, risks and transferable lessons for other degraded drylands.</p> Akramova Feruza Copyright (c) 2026 Akramova Feruza https://creativecommons.org/licenses/by/4.0 2026-07-01 2026-07-01 7 4 32 44 10.51699/cajitmf.v7i4.1331