Methodology for selecting corporate information systems in the conditions of digital transformation of a defence company

A methodology of expert analysis of the market of alternative corporate information systems (CIS) is proposed in order to choose the platform for creating a CIS that fully meets the requirements of a particular defence company. The proposed methodology is based on a set of adapted methods of the decision support theory applied to the problems of multi-criteria collective choice of alternatives.

SECURITY OF CORPORATE INFORMATION IN FINTECH ECOSYSTEM

Background. With the intensification of digitalization processes, the use of FinTech tools by various business entities, which include both financial service offerors and their consumers, is becoming especially important. Analysis of recent researches and publications. The works of many scientists are devoted to the functioning of various aspects of corporate information systems. However, there is currently a lack of research on the feasibility of using financial technology instruments by business entities, their threats and security for corporate information systems. The aim of the article is to study the place of FinTech tools in the corporate information system, identify threats to their use and ensure the security of their operation. Materials and methods. The theoretical and methodological basis of the study are the works of domestic and foreign scientists on the functioning of corporate information systems and FinTech ecosystems. Results. The basis of digital transformation is the use of innovative technologies in the financial services market. This leads to the appropriate transformation of information systems of business entities and ensuring their security. There is an intensification of business use of digital banking services, digital insurance, payment platforms, raising funds through crowdfunding platforms, investing. The FinTech ecosystem within the sectoral approach should be understood as the areas of application of financial technology instruments, the services of which are used by various consumers, in particular, business entities, individuals, public authorities.The increasing digitalization of financial activities of business entities as a result of the Covid-19 pandemic has intensified the creation of additional challenges for corporate information systems for the implementation of cyber risks. Conclusion. The use of financial technology tools by business entities leads to the formation of FinTech ecosystems. Ensuring the security of information systems is the key to corporate stability. The challenge of countering cyber threats is not only for financial service offerors, but also for business entities that are their consumers, as the use of financial technology tools in financial transactions causes risks to all participants in the FinTech ecosystem.

Retención de la información en la empresa: cuestión de sostenibilidad

It is not sustainable to keep all information indefinitely. Retention is an essential aspect of corporate information governance that facilitates data and document lifecycle management. Future trends in information technologies lead us to reflect on the methodologies available and the professional qualifications needed to find new ways to help define and implement the necessary retention policies in companies and organizations. Resumen Guardar toda la información indefinidamente no es sostenible. La retención es un aspecto esencial de la gobernanza de la información que facilita la gestión del ciclo de vida de datos y documentos. Las tendencias futuras de las tecnologías de información nos llevan a reflexionar sobre las metodologías disponibles y las cualificaciones profesionales necesarias para encontrar nuevos caminos que ayuden la definición y aplicación de las necesarias políticas de retención en empresas y organizaciones.

LEGAL VIEW AT A DIGITAL HUMAN BEING

In continuation of previous research, the article offers a legal view at certain features of the digital human being and the formulation de lege ferenda of the special characteristics of a person of the offense. One of the problems is the question about delusion or weakness of will for digital human being, the decision was made by artificial intelligence, which may call into question the fact that there is a factual basis for legal liability. Regarding the digital person, the possibility of escalation of improved intelligence in all spheres of economic, political, corporate, information and military confrontation is argued. It has been proven that artificial intelligence can eliminate the need to think by human and digital human being, and then eliminate the ability to do it.

ABOUT NEW GENERATIONS OF CORPORATE INFORMATION SYSTEMS IN THE XXI CENTURY

The article describes the strategy of reforms being implemented in Uzbekistan at the present stage, which involves the introduction of new educational technologies in the educational process of higher school. The tasks of training specialists who meet the requirements of the time and market requirements are given. According to the results of the study, the role of modern educational technologies in the educational process of the university was revealed. An innovative pedagogical technology is a project of a certain pedagogical activity that is consistently implemented in practice. Information technologies are an integral part of the advanced world, they largely determine the subsequent economic and social development of mankind. In these criteria, revolutionary configurations require a training system. Thus, we can say that the significance of this problem takes place in the modern educational environment, because at present, competent teaching of disciplines cannot be carried out without using the means and capabilities provided by computer technologies and the Internet.

Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion

Past research offers mixed perspectives on whether domain experience helps or hurts algorithm-augmented worker performance. Reconciling these perspectives, we theorize that intermediate levels of domain experience are optimal for algorithm-augmented performance, due to the interplay between two countervailing forces—ability and aversion. Although domain experience can increase performance via increased ability to complement algorithmic advice (e.g., identifying inaccurate predictions), it can also decrease performance via increased aversion to accurate algorithmic advice. Because ability developed through learning by doing increases at a decreasing rate, and algorithmic aversion is more prevalent among experts, we theorize that algorithm-augmented performance will first rise with increasing domain experience, then fall. We test this by exploiting a within-subjects experiment in which corporate information technology support workers were assigned to resolve problems both manually and using an algorithmic tool. We confirm that the difference between performance with the algorithmic tool versus without the tool was characterized by an inverted U-shape over the range of domain experience. Only workers with moderate domain experience did significantly better using the algorithm than resolving tickets manually. These findings highlight that, even if greater domain experience increases workers’ ability to complement algorithms, domain experience can also trigger other mechanisms that overcome the positive ability effect and inhibit performance. Additional analyses and participant interviews suggest that, even though the highest experience workers had the greatest ability to complement the algorithmic tool, they rejected its advice because they felt greater accountability for possible unintended consequences of accepting algorithmic advice.

Using waterfall, iterative and spiral models in ERP-system implementation projects under uncertainty

The article considers the use of cascade and multi-pass implementation models of corporate information systems in case of business and technological uncertainty. A review of waterfall, iterative and spiral ERP-systems implementation models is given. The business and technological uncertainties inherent in software systems implementation projects are introduced. The basic principles of development complex applications in ERP-systems are analyzed, including the rules of evolution and functionality. One compares business uncertainty for refined requirements in the waterfall and Agile-based implementation models, which operate with a change request and allocation requirements to a new round of development respectively. There is no or minimal technological uncertainty in ERP-systems implementation projects, however high business uncertainty exists, which can not be decreased by any basic implementation approaches. The application area of the waterfall and multi-pass implementation models is clarified for ERP projects from scratch, rollout and evolution under business uncertainty.