Theoretical and Methodological Approaches to Studying Artificial Intelligence in the Context of International Relations and International Law

Deleted Journal, Journal Year: 2024, Volume and Issue: 93(1), P. 4 - 21

Published: March 15, 2024

This article addresses one of the pressing issues regarding role artificial intelligence (AI) in international relations and law. The research question revolves around defining theoretical methodological approaches applicable to strategic analysis AI utilization these fields. In contemporary world, there is a demand at both interstate societal levels define political legal spheres. because development affects crucial areas state such as security, law, ethical norms, dependencies. prospective use technologies without corresponding regulation may disrupt already fragile balance world order, which could be exacerbated by competition applications military domain, grey area Analyzing this issue from perspective law theory allows for examining AI's impact on interactions developing new application strategies. Similarly, it helps understand how regulates relations, including aspects related applications. By various concepts necessary understanding global affairs, its influence diplomacy, governance structures, well issues, contributes Kazakhstan's evolving discourse implications actors.

Language: Английский

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AI capabilities and export performance: the moderating role of province market development and cultural distance

International Journal of Emerging Markets, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 30, 2024

Purpose Artificial intelligence (AI) is a significant trend in digital technology that revolutionizing the field of global business and internationalization. Based on institutional theory resource-based view, this study examines intricate relationship between AI capabilities export performance, taking into account different province market development within country cultural distance. Design/methodology/approach This gathered data from websites privately owned Chinese exporters complemented it with survey 2023. In conducting survey, we employed simple random-sampling approach to select 1,500 China, focus economic indicators, particularly GDP contribution. We received 1,000 surveys, but only 749 were valid due missing data. The study’s comprehensive coverage regions ensured inclusion potential variations subnational disparities country. conducted ordinary least squares (OLS) regression, standardized variables before entering regressions. Findings results demonstrate have positive impact performance. addition, influence performance varies depending home-country host-country environment. strengthened by larger distance, while has negative moderating effect relationship. less developed markets, can drive significantly markets more advanced development, significance reducing transaction costs diminishes established institutions structures. serve as an intermediary mechanism connects context home environment host Originality/value While international internationalization growing area study, further exploration factors needed. Organizations operating diverse are profoundly shaped contexts their operational environments. research addresses relatively unexplored role (provincial development) (cultural distance) effects illuminates dynamics underlying specific province-level Employing overarching framework, sheds light how serves mechanism, bridging gaps related differences varying levels. doing so, contributes academia advancing our understanding shaping interaction factors. Additionally, offers insights for managers policymakers make informed strategic decisions regarding capabilities.

Language: Английский

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Significance of Artificial Intelligence and Machine Learning in Business Enterprises

International Journal of Scientific Research in Computer Science Engineering and Information Technology, Journal Year: 2024, Volume and Issue: 10(6), P. 1093 - 1098

Published: Nov. 30, 2024

The rising demand for Artificial Intelligence (AI) and Machine Learning (ML) technologies in the corporate sector offers significant opportunity firms to foster innovation change. Incorporating generative AI capabilities into AI/ML adoption plans can significantly improve performance efficacy of these technologies. By adopting with functionalities, organizations may optimize content production workflows, provide synthetic data enhance ML model training, more captivating consumer experiences. This connection enhances creativity innovation, accelerating development refinement, leading expedited advancement creation sophisticated systems. article discusses significance business. Future trends difficulties are also examined.

Language: Английский

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Business Management in the Information Age: Use of Systems, Data Processing and Scalability for Organizational Efficiency

ICST Transactions on Scalable Information Systems, Journal Year: 2024, Volume and Issue: unknown

Published: March 21, 2024

Abstract: This article reviews the challenges and opportunities facing companies in business management era of information. Challenges managing large volumes data, emerging trends cybersecurity, companies' ability to adapt digitalized environment are analyzed. The methodology used includes an exhaustive search articles indexed journals application inclusion criteria select 50 relevant articles. Key findings include obstacles data management, increasing sophistication cyber threats, adaptation strategies such as digital transformation integration technologies. In conclusion, importance addressing these leveraging presented by technology enhance efficiency competitiveness is highlighted.

Language: Английский

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Articulating Deep Learning and Internet of Things (IoT) in the Hospitality Industry as a Catalyst for Sustainable Consumption and Food Wastage

Practice, progress, and proficiency in sustainability, Journal Year: 2024, Volume and Issue: unknown, P. 182 - 199

Published: May 10, 2024

A new age of innovation in the hospitality sector is being ushered by confluence deep learning (DL) and internet things (IoT), which offers a comprehensive solution to sustainability issues. Due large part its complex supply networks high resource consumption, contributes significantly food waste environmental damage. In order provide more sustainable socially responsible approach management, this chapter explores how combination DL IoT systems might play crucial role it. algorithms are used optimize number areas operations because their capacity evaluate massive datasets. These models service industry for customized menu improvement, inventory control demand forecasting. technologies can help achieve SDGs 1 2 creating ecologically industries through promotion consumption patterns effective management.

Language: Английский

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Revolutionizing Responsible Consumption and Production of Food In Hospitality Industry

Advances in hospitality, tourism and the services industry (AHTSI) book series, Journal Year: 2024, Volume and Issue: unknown, P. 445 - 474

Published: Sept. 20, 2024

The hospitality industry is pivotal in addressing responsible consumption and food production challenges. hotel sector leading the way tackling important issues related to lead revolutionary solutions using deep learning machine technology. Integrating modern technical becomes crucial current setting, where global poverty, malnutrition, complex dynamics of adulteration considerably affect industry's demand-supply mechanism. Keeping a close eye on larger scene, this study promotes practical actions beyond simple technology implementations. In face such as hunger, malnutrition adulteration, assimilation advanced technological strategies imperative. This chapter explores role ML DL achieving zero waste within sector, challenges presenting innovative for adequate loss-waste management.

Language: Английский

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Research on adapting marketing techniques to different culture economics and regulatory environment to entering new international markets

Информатика Экономика Управление - Informatics Economics Management, Journal Year: 2024, Volume and Issue: 3(4), P. 0257 - 0277

Published: Dec. 26, 2024

The study focuses on how products from emerging markets are sold abroad. According to case studies, companies actively seek out countries with a large Bangladeshi diaspora and hire locals who familiar business culture. Manufacturers' globalization is aided by this strategy since it raises their profile fosters understanding local buyers. cultural literature benefits illuminating the ways in which collectivism avoidance of ambiguity promote marketing strategy, trust, networks. It proposes modern, people-focused IM approach that innovation-driven, shaped customer preferences for food products, places an emphasis contributions diaspora. Organizations’ potential use access hitherto untapped also explored research. Corporations' strategies methods penetrating these face both opportunities threats as result globalization. qualitative looks at characteristics related international market entrance global expansion based previous results demonstrate businesses may become more globally competitive adapting behavioral differences selecting most effective strategies. significance varied commodities, works, services economic activity shown research, lends credence methods.

Language: Английский

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DIGITALIZATION OF UKRAINIAN COMPANIES' ACTIVITIES IN WAR CONDITIONS: CHALLENGES vs OPPORTUNITIES

VISNYK оf Donetsk National University of Economics and Trade named after Mykhailo Tugan-Baranovsky, Journal Year: 2024, Volume and Issue: 2(81) (2024), P. 63 - 72

Published: Dec. 30, 2024

Objective. The objective of this study is to summarize the pressing problems Ukrainian companies in times war and select relevant areas digitalization that would help reduce these problems. Methods. To achieve outlined objective, following methods empirical theoretical research are used: literature review, generalization (to identify, collect analyse modern on enterprise activities overcoming companies), descriptive method highlight business consequences Russia's military aggression against Ukraine), analysis systematization identify promising ways overcome domestic producers group them by functional characteristics). Results. Diagnostics arose during grouping digital technologies solve carried out focusing subsystems companies: financial, personnel, marketing, operational research. reveals a wide range tools suitable for use producers. transfer basic supporting processes into virtual format, spread forms remote work, widespread highly specialized software products artificial intelligence give great chance stay afloat improve their competitive position market. Digital allow both reducing physical risks impact business, providing new opportunities adaptation, automation, development innovation. At same time, successful implementation solutions, technical organizational changes, state support, as well readiness enterprises themselves rapid adaptation learning necessary.

Language: Английский

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РОЗРОБЛЕННЯ ПРОГРАМИ ПІДВИЩЕННЯ КОНКУРЕНТОСПРО-МОЖНОСТІ ПІДПРИЄМСТВА В ПОСТІНДУСТРІАЛЬНУ ЕПОХУ

Економіка та суспільство, Journal Year: 2024, Volume and Issue: 70

Published: Dec. 30, 2024

Стаття присвячена специфіці розроблення програми підвищення конкурентоспроможності підприємства за постіндустріальних умов і розкриттю сфер використання цифрового інструментарію при реалізації зазначеної програми. В роботі проведена поетапна декомпозиція процесу з акцентуванням на використанні інструментарію. Визначено зміст перспективи мережевих форм організації команд для виконання програм наведено успішні приклади їх застосування. Охарактеризовано негативний досвід продуктів корпорацій Apple Samsung у 2024 році. Продемонстровано, що функціонал штучного інтелекту та організаційних структур стануть нагоді відповідних етапах розробки вітчизняних підприємств.

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