Information is present all around us in different kind of forms. Huge amounts of information are produced every day in big variety of forms. Information plays crucial role for people and for companies as well. Their survival in the highly competitive environment depends upon possessing the right information in the right time. Companies must have information concerning their customers, products, environment and themselves also. The aim of the paper is to show the way to reach competitive advantage by using big data and innovation approaches based on the analysis of literature and conducted research. During the research were used these methods: content analysis, documents study, comparative analysis, process analysis, statistic analysis, empirical research and more. One of the main results is model of information system for work with big data, that is base for successful correct using of information to reach competitive advantage in the market

Building Smart City management concepts is based on the implementation and use of advanced technologies. The primary impulse for writing the article was the ambition to identify the current advanced technologies of Smart City management. The aim of the article is to propose a general model for the implementation of advanced technologies for Smart City management, based on the knowledge gained from the analysis of literature and case studies. In order to fulfill the set goal, it is necessary to obtain answers to two research questions. The findings were obtained through a secondary analysis of the literature, i.e., relevant articles from the scientific databases Web of Science and Scopus analysis of case studies of the best Smart Cities practices. According to the Smart City Index 2020 and IESE Cities in Motion, the leaders among the Smart Cities are Singapore and London, followed by Helsinki. In addition to the analyses, the article also uses methods of summarization, comparison, creativity, logic, induction and deduction. Smart Cities use 12 identified advanced technologies in their practice. Strategic management in Singapore, London and Helsinki adapts technology to the needs and requirements of its citizens, thus connecting the technological aspect with the managerial and social aspects. The contributions of the work include results for fellow researchers and a model for strategic management of new Smart Cities. The results of the article provide fellow researchers with the findings of a secondary analysis of relevant articles, from which they can draw when writing their own publications without the need for time-consuming search of the articles about this topic in databases. The general model of implementation of advanced technologies serves as a basis for strategic management of new Smart Cities that want to implement a technological base and at the same time do not want to forget the managerial and social aspects. Testing the model in practice with a new Slovak Smart City is part of future research activities.

Sustainability in Smart Cities is a current and trendy topic in a global sense. The primary impetus for writing this article was to create a general implementation model for the smart governance of European Smart Cities based on the American best practice. The ambition is to be able to modify the generally created model to meet the local conditions of all countries. The aim of the article is to point out the essential elements and differences between the implementation standards, models and clusters in the cities of North America and Europe, including their benefits and limitations. This article compared standards, implementation and cluster models for Smart Cities in North America and Europe through a secondary analysis from Arcadis and IDC consultants, standards agencies, and relevant sources. In addition, comparisons and summaries of the results were used. The results of this article point out the fundamental differences between the American and European approaches to building Smart Cities. American models are more centrist-oriented to people and complex in their simplicity, thus achieving a higher degree of reputation. Europeans are less consistent and top-down oriented. The new model will make European Smart Cities more focused on the needs and expectations of all stakeholders. The main results of this article are the answers to the research questions and the general implementation model, the verification of which will take place in practice in the future.

Organizations, nowadays, operate in highly dynamically-developing environments. This fact also applies to sports organizations, which are looking for various ways to succeed or survive in these environments. There are various solutions available, but from a long-term perspective it is important for sports organizations to think in a complex way. One of the solutions of this issue is to ensure the long-term sustainability and development of these organizations. The aim of this paper is to focus on strategic factors in the management of mutual relationships with stakeholders. The importance of managing cooperation with stakeholders is very high for the achievement of both short-term and long-term objectives. This paper presents, in addition to the results of research aimed at the cooperation of sports organizations and their stakeholders (425 respondents participated in the research), solutions to issues currently troubling sports organizations in this field. These issues include the lack of funds for the functioning of the sports organization, as well as the insufficient size of sports organization membership. Sports organizations cannot only reduce the intensity of these issues, but can also eliminate them by utilising selected key factors in the management of mutual relationships with stakeholders.

The current business environment faces numerous new challenges closely linked to the rapid development of information and communication technologies, which influence the corporate landscape. This article focuses on exploring the possibilities of integrating artificial intelligence, as one of the key technologies of today, into the recruitment process. Its aim is to examine the potential applications of artificial intelligence across various stages of employee recruitment. To achieve this goal, the authors employed various methods and techniques, including the PICOS framework, scientific mapping, and case study analysis. The outcome of this study identifies opportunities for leveraging artificial intelligence in the employee recruitment process within corporate settings. The results reflect the current research gaps concerning the analysis of the personnel processes and conceptualizing the implementation possibilities of artificial intelligence in these processes. The contribution of this article to the academic community lies in its conceptualization, providing a foundation for further research focused on analyzing the impacts of integrating AI into recruitment processes.

Problems of successful application of social CRM in the company are still poorly explored and in practice weakly applied area of marketing management. Managers often do not know modern techniques and metrics for assessing implementation of social CRM. The aim of this paper is to create a system for successful application of social CRM in the company based on detailed analysis of sources and conducted research. In addressing were identified innovative approaches to relationship marketing (e-CRM, social CRM…) and their use in conditions of Slovak companies (conducted own empirical research)