Інноваційний розвиток аудиту фінансового моніторингу

1. Про запобігання та протидію легалізації (відмиванню) доходів, одержаних злочинним шляхом, фінансуванню тероризму та фінансуванню розповсюдження зброї масового знищення: Закон України // Відомості Верховної Ради України (ВВР), 2020, № 25, ст.171. URL: https://zakon.rada.gov.ua/laws/show/361-20#Text 2. Пукала Р., Внукова Н. Спеціально визначений фінансовий моніторинг аудиторів за міжнародними стандартами // ІІ Міжнародна науково-практична інтернет-конференція «Сучасний стан та перспективи розвитку обліку, аналізу, аудиту, звітності і оподаткування в умовах євроінтеграції». Ужгород, Видавництво УжНУ «Говерла» , 2020. С.183-186. 3. Google Trends – руководство как пользоваться. URL: https://www.unisender.com/ru/blog/sovety/google-trends/ 4. Kliuiev O., Vnukova N., Hlibko S., N. Brynza, Davydenko D. Estimation of the Level of Interest and Modeling of the Topic of Innovation Through Search in Google In: Proceedings of the 4th International Conference on Computational Linguistics and Intelligent Systems, 23-24 April,COLINS 2020. Рp. 523-535. URL: http:// repository.hneu.edu.ua/bitstream/123456789/23306/1/O.%20Kliuiev2c% 20N. %20Vnukova% 2c%20S.%20HУведення в дію в Україні нового антилегалізаційного Закону [1] вплинуло на зміни у організації фінансового моніторингу всіх суб’єктів первинного фінансового моніторингу щодо можливості здійснення незалежного аудиту фінансового моніторингу, отже, відбулась поява нової аудиторської послуги [2]. За цих перетворень щодо інноваційного розвитку аудиту аналіз статистики пошукових запитів обізнаності стейкхолдерів набуває актуальності для визначення рівня сприйняття змін у антилегалізаційному законодавстві. Google висуває різні інструменти, які використовуються фахівцями у несхожих сферах, наприклад, Google Trends [3], особливо щодо нового виду діяльності

Computational models of consumer confidence from large-scale online attention data: crowd-sourcing econometrics

Economies are instances of complex socio-technical systems that are shaped by the interactions of large numbers of individuals. The individual behavior and decision-making of consumer agents is determined by complex psychological dynamics that include their own assessment of present and future economic conditions as well as those of others, potentially leading to feedback loops that affect the macroscopic state of the economic system. We propose that the large-scale interactions of a nation's citizens with its online resources can reveal the complex dynamics of their collective psychology, including their assessment of future system states. Here we introduce a behavioral index of Chinese Consumer Confidence (C3I) that computationally relates large-scale online search behavior recorded by Google Trends data to the macroscopic variable of consumer confidence. Our results indicate that such computational indices may reveal the components and complex dynamics of consumer psychology as a collective socio-economic phenomenon, potentially leading to improved and more refined economic forecasting.Comment: 21 pages, 6 figures, 13 table

The Future of Retail Operations

Retailing consists of all the activities associated with the selling of goods to the final consumer. In this article, we review the research on retail operations published in Manufacturing & Service Operations Research (M&SOM) since 1999. We then discuss the current retail landscape and the new research directions it offers, in which M&SOM can play a prominent role

CHORUS Deliverable 2.1: State of the Art on Multimedia Search Engines

Based on the information provided by European projects and national initiatives related to multimedia search as well as domains experts that participated in the CHORUS Think-thanks and workshops, this document reports on the state of the art related to multimedia content search from, a technical, and socio-economic perspective. The technical perspective includes an up to date view on content based indexing and retrieval technologies, multimedia search in the context of mobile devices and peer-to-peer networks, and an overview of current evaluation and benchmark inititiatives to measure the performance of multimedia search engines. From a socio-economic perspective we inventorize the impact and legal consequences of these technical advances and point out future directions of research

Weak signal identification with semantic web mining

We investigate an automated identification of weak signals according to Ansoff to improve strategic planning and technological forecasting. Literature shows that weak signals can be found in the organization's environment and that they appear in different contexts. We use internet information to represent organization's environment and we select these websites that are related to a given hypothesis. In contrast to related research, a methodology is provided that uses latent semantic indexing (LSI) for the identification of weak signals. This improves existing knowledge based approaches because LSI considers the aspects of meaning and thus, it is able to identify similar textual patterns in different contexts. A new weak signal maximization approach is introduced that replaces the commonly used prediction modeling approach in LSI. It enables to calculate the largest number of relevant weak signals represented by singular value decomposition (SVD) dimensions. A case study identifies and analyses weak signals to predict trends in the field of on-site medical oxygen production. This supports the planning of research and development (R&D) for a medical oxygen supplier. As a result, it is shown that the proposed methodology enables organizations to identify weak signals from the internet for a given hypothesis. This helps strategic planners to react ahead of time

Outsourcing labour to the cloud

Various forms of open sourcing to the online population are establishing themselves as cheap, effective methods of getting work done. These have revolutionised the traditional methods for innovation and have contributed to the enrichment of the concept of 'open innovation'. To date, the literature concerning this emerging topic has been spread across a diverse number of media, disciplines and academic journals. This paper attempts for the first time to survey the emerging phenomenon of open outsourcing of work to the internet using 'cloud computing'. The paper describes the volunteer origins and recent commercialisation of this business service. It then surveys the current platforms, applications and academic literature. Based on this, a generic classification for crowdsourcing tasks and a number of performance metrics are proposed. After discussing strengths and limitations, the paper concludes with an agenda for academic research in this new area