Digital Transformation

Artificial Intelligence (AI) is influencing almost every area of modern life from entertainment, commerce, and healthcare to organizations internal processes operations. Netflix knows what movies and series people want to watch, Amazon knows when and where people like to shop, and Google knows what users are looking for. All this information may be utilized to create very comprehensive personal profiles, which can be useful not just for behavioral analysis and targeting, but also for forecasting economic trends, political changes and for understanding people’s attitude towards different topics. There is a lot of hope that AI could lead to significant breakthroughs in all aspects of life. It can help in organizing public administration institutions’ internal processes as well as urban development and/or transformation. In this article, the author considers both of those directions similarly important to citizens and provides a list of political, economic and administrative benefits in using AI applications in public organizations (at local, regional or national levels). Several ethical considerations regarding the use of AI and its potential impact on the current labor market are included in the discussion section.

One of the main reasons why people use robo-advisors is that the traditional financial instruments (e. g. deposits, bonds) will promise zero returns in the near future. Robo-advisors using built-in algorithms to determine the assets of investment portfolios for short-run and long-run periods will be one of the promising options for the investor to obtain income in order to achieve his/her goals. Live Trading bots will be able to provide substantial passive in-come for investors, that is an attractive alternative, compared to the advice of traditional human advisors. The goal of this paper is to develop a robo-advisor bot to make investment decisions in order to choose the best financial instruments considering risk-return criterion using different investment strategies. The paper deals with the models of robo-advisor bot for different risk attitudes of investors. Each investor can choose among different investment strategies, such as buy-and-hold strategy, moving average strategy, relative strength index strategy, support and resistance strategy with different performance measures. All strategies dealing with risk-return criterion for precious metals demonstrate the greatest efficiency for risk-averse investors. RSI (relative strength index), buy-and-hold strategies are also effective for Netflix shares. Oil and cryptocurrencies are most appropriate for different strategies of risk-seeking investors. Tesla stock is the most appropriate for risk-neutral investors under definite period.

The present paper introduces the concept of video content analysis based system for road traffic regulations compliance monitoring at unguarded railway crossings.

The described system named SafeCross is currently being developed by the consortium of Elmontaż Sp. z o. o. (ltd.) and University of Bielsko-Biała.

Recently it gained the final phase of development. The technical goals have been achieved and some work results are available.

This study aims to examine the impact of social media knowledge discussion groups (SMKDGs) on creativity through knowledge utilization, and the impact of SMKDGs on employee creativity through information elaboration in a multi-level model. In addition, the moderating effect of knowledge-oriented leadership (KOL) was also tested at two levels. Multisource and multi-wave data were collected from 356 employees in 61 workgroups and used for empirical analysis. The results support our hypothesis and confirm the mediating role of knowledge utilization and information elaboration at two levels. In addition, KOL positively moderates the mediating effects of knowledge utilization and information elaboration at both levels. These findings complement research on SMKDGs and creativity and have instructive value for teams to effectively use social media to enhance the team and employee creativity in the future.

The development of a new global ecosystem increases requirements for the continuous refreshing of knowledge and expanding the skills of all employees throughout their working lives. In the conditions of individualization and isolation of society, the expansion of the IT-technologies usage makes it possible to simplify the task of creating such a system and make the learning process accessible to every employee. The purpose of the article is to analyze the effectiveness of online training for personnel of companies in the creative sector of the economy of Ukraine. To evaluate the effectiveness of online learning, a survey was carried out among companies that belong to the creative economy of Ukraine. The purpose of the survey was to determine the level of satisfaction of the management with the results of employee training and development management system in their companies. The survey was conducted in parallel, from December 2021 to January 2022, participants were the representatives of the top management of companies and heads of HR departments; the selection of survey participants has been carried out automatically and was randomized. A total of 53 Ukrainian companies took part in the study. The research proves that online learning is no less effective than full-time learning, however, its effectiveness largely depends on the correct selection of programs and methods of staff training. We recommend the extended use of gamification for the sphere of the creative economy. The current level of IT-technology development makes it possible to combine full-time, mixed, and e-learning, enhancing the synergistic effect.

Big data analytics (BDA) is increasingly becoming a critical component of the business decision-making process. The purpose of this study is to highlight the barriers/inhibitors in the implementation of an BDA. The interest of researchers and practitioners in the subject is growing. However, the body of empirical research on the main barriers in the implementation of a BDA in the field of auditing is still an underexplored topic. The research in question has as main objective to address the main inhibitors (barriers) for the implementation of an analytical big data in the audit. Based on prestigious literature; the main points of difficulties in the implementation of a BDA system were raised. Using a Likert-type scalar matrix, data from Audit professionals in Brazil were collected. The results indicated that the main barriers in the implementation of the BDA concern the dynamic and digital capabilities of organizations. On the other hand, big data analytics capabilities are not significant in most of its dimensions. The main contributions of this study are: (a) it identifies the main barriers/inhibitors in the implementation of a BDA in the field of auditing in Brazil; (b) serves as a guide for managers in their decision making in choosing resources to implement BDA; (c) this research is original and fills a gap in the literature on big data management. Therefore, it advances the body of knowledge on BDA implementation inhibitors.

Microservices is a set of independent software developments communicating over APIs (application program interfaces) to achieve a whole generic system. This paper aims at addressing the usefulness of a fractal architectural design in modern organization with an IT (Information Technology) orientation and a variety of businesses under single entity, on structuring and integrating such microservices on system of systems. It is crucial to maintain proper alignment concerns and autonomy concerns while adhering to the general purpose of the business and considering other factors such as competition. Fractal architecture provides a conceptual framework for a balanced trade-off between autonomy and alignment concerns. This study analyses the feasibility of fractal architecture, its opportunities and challenges based on previous literature when applying to microservices on system of systems. For this purpose, various metrics defined by the authors are used to achieve research objectives and identify limitations of fractal architecture.

The globalization of the world economy increased the role of value chains, where disruptions in the realization of the logistics processes occur repeatedly. Pandemics, military conflicts, and climate change further increase the difficulties in matching demand and supply. Therefore, proper Supply Chain Management (SCM) is crucial and the digital transformation of SCM is considered an important solution for several SCM concerns. Extensive subject matter literature research highlighted that several technologies have been studied and implemented as SCM solutions contrary to the blockchain. As a result, the research aim of the article is to examine the current and future challenges of SCM with particular emphasis on blockchain technology perception in this context. Proper research has been conducted with the use of structured in-depth interviews with SCM experts. Pilot study results highlighted that blockchain is perceived as a technology with significant potential to support the creation of Digital Supply Chains. They also pointed out that blockchain is not the technology of the first choice when planning the digital transformation of SCM.