Priorities of marketing, competitiveness, and innovative development of transport service providers under sustainable urban development

Monitoring the growing role of implementing sustainable development goals, on the one hand, and the use of the Internet of things in various spheres of life, on the other, is changing the way people think about their mobility. The urgency of this scientific problem is the need to review municipal policies on approaches to the use of appropriate methods of public transport to improve municipal transport infrastructure policies in the light of advances in «green» energy development. This article justifies the need to focus on the study of changes in the Ukrainian taxi drivers’ behavior in the urban environment on the development of «green» energy, development of appropriate programs to coordinate the requests of users and providers of taxi services through sustainable development and digitization of taxi services. In addition, the impact of sustainable energy development on transport diversification and the use of environmental modes of transport, in particular, electric cars as taxis, are analyzed, depending on the number of charging stations and access to electricity. The methodological tools used were cluster analysis, expert surveys, face-to-face interviews, statistical and fuzzy multiple estimation methods. The subject of the study was selected taxi services and taxi users in the Ternopil region. According to the survey results, the priority factors for the environmental behavior of Ukrainian taxi drivers were the level of business automation and the size of the taxi fleet. In a survey conducted by experts to examine the environmental safety of vehicles and the level of automation of enterprises, most taxi services were found to be environmentally unsound, focusing on sustainable development and environmental issues. The most problematic are technical support, automated ordering system, and significant vehicle wear in small cities. To determine the approaches to the management of greening, the objects of study were organized into relatively homogeneous groups. To this end, a cluster analysis was conducted. The study subjects were grouped into relatively homogeneous groups. The authors justified the feasibility of differentiated strategies and reaffirmed the idea of developing different approaches to environmental development depending on the level of environmental friendliness of vehicles, business automation, and relative shares of the fleet. The study results could be useful for infrastructure scientists and practitioners, taxi managers and owners, andlocal government officials.

The influence of Covid-19 on the field of social security – The example of the Republic of Serbia

This wide-ranging article takes a theoretical look at the implications of the SARS-CoV-2 (Covid-19) virus for the concept of the securitisation of a state, encompassing the debate about whether social security occupies a place within securitisation studies. The authors point to, and explore, the concurrent presence of three social phenomena with global effects: digitalisation and business automation; securitisation of the systems of health and social protection; and the emergence of the Covid-19 pandemic with all its disruptive potential. They also consider closely how these phenomena relate to the already-troubled social position in the Republic of Serbia, alluding also to the deliberate use of the concept of securitisation to convince the population of the need to take drastic safeguarding steps, including the announcement of a state of emergency. The authors conclude broadly on the implications that Covid-19 has for socio-economic development, that social security does play a role within securitisation and, with a sharp prod to nationalisms as a response to the virus, that global problems and risks require global solutions.

Artificial Intelligence, Machine Learning and Data Science as Iterations of Business Automation for Small Businesses

Artificial intelligence and machine learning, the two iterations of automation are based on the data, small or large. The larger the data, the more effective an AI or machine learning tool will be. The opposite holds the opposite iteration. With a larger pool of data, the large businesses and multinational corporations have effectively been building, developing and adopting refined AI and machine learning based decision systems. The contention of this chapter is to explore if the small businesses with small data in hands are well-off to use and adopt AI and machine learning based tools for their day to day business operations.

Design, Development and Implementation of Databases in Pharmaceutical and Medicine

This paper presents the design and implementation of databases in pharmacy, points out the most common problems that may be encountered, and describes practical solutions. The paper also describes the structure in terms of linking multiple applications to one single database in terms of achieving business automation.

Adaptive patching strategy

Providing sustainable availability, confidentiality, and integrity of all services and resources within associates and counterparts is a key concept to be in the “Leaders” quadrant. No respectable vendor will reject the idea that systems should be always up-to-date with the latest security patches and solutions available. Having a fully patched environment does not always correspond very well with the full business automation strategies. This article glances over an approach for delivering the latest updates to Microsoft systems, and at the same time putting minimum degradation of the production systems process.