THE IMPACT OF ARTIFICIAL INTELLIGENCE AND AUTOMATION ON SERVICE QUALITY

THE IMPACT OF ARTIFICIAL INTELLIGENCE AND AUTOMATION ON SERVICE QUALITY | Zenodo Skip to main Communities My dashboard Log in Sign up Zenodo is currently experiencing slowness and intermittent outages due to heavy automated traffic from bots and AI crawlers. We are aware of the problem, and our team is focused on stabilizing the service. Thank you for your patience. Published May 3, 2026 | Version v1 Journal article Open THE IMPACT OF ARTIFICIAL INTELLIGENCE AND AUTOMATION ON SERVICE QUALITY Authors/Creators Ablaizov Abduvafo o'g'li, Akbar Description This article examines the impact of artificial intelligence and automation on service quality in the context of global digital transformation. The study analyzes how AI technologies improve service efficiency, personalization, customer satisfaction, and decision-making processes across various sectors such as banking, healthcare, education, and public services. Based on recent empirical studies, international reports from OECD and McKinsey, and regulatory frameworks such as the EU Artificial Intelligence Act, the research highlights both the benefits and challenges of AI integration. Files 190-194.pdf Files (269.0 kB) Name Size Download all 190-194.pdf md5:078c4b154578d01a4a1d13cc1cabea6d 269.0 kB Preview Download Additional details References 1.Brynjolfsson, E., Li, D., & Raymond, L. R. (2023). Generative AI at work. National Bureau of Economic Research. https://www.nber.org 2.European Union. (2024). Artificial Intelligence Act: Regulation on artificial intelligence systems. Official Journal of the European Union. https://eur-lex.europa.eu 3.International Monetary Fund. (2024). AI and the future of work in global services. IMF Working Papers. https://www.imf.org 4.McKinsey Global Institute. (2025). The state of AI in 2025: Global survey results. McKinsey & Company. https://www.mckinsey.com 5.OECD. (2025). OECD artificial intelligence policy observatory: AI adoption and impact on productivity. OECD Publishing. https://www.oecd.org 117 Views 72 Downloads Show more details All versions This version Views Total views 117 117 Downloads Total downloads 72 72 Data volume Total data volume 19.6 MB 19.6 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Keywords and subjects Keywords artificial intelligence, automation, service quality, digital transformation, customer satisfaction, machine learning, service efficiency, OECD, McKinsey, EU AI Act Details DOI DOI Badge DOI 10.5281/zenodo.19999928 Markdown [](https://doi.org/10.5281/zenodo.19999928) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19999928.svg :target: https://doi.org/10.5281/zenodo.19999928 HTML <a href="https://doi.org/10.5281/zenodo.19999928"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.19999928.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.19999928.svg Target URL https://doi.org/10.5281/zenodo.19999928 Resource type Journal article Publisher Zenodo Published in International journal of artificial intelligence, 6(05), 190-194, ISSN: 2692-515-x, 2026. Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created May 3, 2026 Modified May 3, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies

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