Dagmar Caganova

Importance of Internet of Things and Big Data in Building Smart City and What Would Be Its Challenges

Cities are regarded as the backbone of the country’s economy and sustainability. To make a city ‘smart’, we need to build upon the strategies which could mitigate city’s current issues and avert future problems which are driven by the urban society and its rapid expansion. According to the UN urbanization report (2011), urban cities occupy 2 % of the earth’s total area and still they are responsible for the 70 % of the global energy consumption and emission of greenhouse gases. The cities will need to attend to these global facts and take upon bigger challenges of fulfilling the essential needs of water, food and shelter, providing necessary public services like utility, security, and mobility and importantly managing scare resources. IoT and big data with their innovating techniques and advancing technology provides those critical tools which helps to address these topics and lay down the foundation for next generation smart cities.

The Strategic Development of Multicultural Competencies Through a Balanced Scorecard Approach

Abstract The need to develop a clear understanding of multicultural competencies is essential to fully develop a strategic approach to human capital management (HCM). As Slovak workplaces become more diverse, culture and intercultural management has gained greater significance and the adoption of a strategic approach is now critical to the success and competitive advantage of the organisation. Moreover, it is necessary to address this field of management to ensure the high performance of organisations, especially those operating within a global setting. The focus of the research is on the identification of multicultural competencies in the context of Slovak industrial enterprises to measure and identify linkages between cultural aspects and the strategic business performance.

Analysis of factors influencing the motivation of generations Y and Z to perform in the educational process

The main objective of the article is to identify and analyse the dominant factors influencing the motivation to perform during a university study in Y and Z generation groups. The selected research sample were the first-year students of the first grade of their study (Bc.) who represented the generation Z and the first-year students of the second grade of study (Eng.) who represented the generation Y. Several factors have been identified in the pre-survey that affects motivation to performance during the learning process within the two generational groups. In the research process, there were used three psychodiagnostic standardized questionnaires (NEO Questionnaire, respectively two of the five items: conscientiousness and neuroticism, Motivation of Performance from D-M-V Questionnaire and the HO-PO-MO Questionnaire, namely its part Motivation to Performance — MO). The NEO questionnaire shows that neuroticism and the scale of performance braking from the D-M-V Questionnaire is much higher for the first-year students (Generation Group Z) than for fourth-year students (Generation Group Y). In overall, Y and Z generating groups have poorer results at a high score of neuroticism and, on the contrary, too low values at high scores for conscientiousness.

The suggestion for newspapers application improvement

The main aim of the submitted paper is to propose recommendations for the newspapers application improvement for smartphones and tablets used by wide range of users. The first part of the paper contains the explanation, advantages and disadvantages of using digital versions of newspapers for better understanding of the dealing issue. The second part of the paper describes the authors survey, the sources and ways of the data gaining for the questionnaire. The results of the survey among users or potential users of the newspapers smartphone and tablet application are presented in the section Results of the survey. The discussion part of the paper summarizes the results of the survey and contains suggestions for possible ways of newspapers application improvement.

Utilization of Exact Methods within Decision-making Process in Innovation Management - Application of AHP Method

The paper deals with the application of method analytical hierarchy process in action of decision-making in the field of innovation management of industrial companies. Analytical hierarchy process is a tool for application of exact methods in process of decision-making. The paper contains theoretical description of analytical hierarchy process and subsequently also application of this method in the field of innovation management. Method of analytical hierarchy process brings into action of decision-making objectivity, exactness and also the quality of the evaluation. Perhaps the biggest advantage of this method is that this method allows to evaluate comprehensively all the criteria of alternative solutions. This paper aims to highlight the widespread use of method analytical hierarchy process in the decision-making process, including in the field of innovation management.

Knowledge Management Perception in Industrial Enterprises Within the CEE Region

Smart Cities work with many data collected from various sources. The data are useless unless people know how to process them effectively. The aim of the submitted paper is to find out what the attitudes of the employees working in industrial enterprises in the CEE region are towards the Knowledge Management and it also focuses on finding the means of possible improvements of the Knowledge Management implementation. In the first part, definition and importance of the knowledge is explained for better understanding of the dealing issue. The second part describes our questionnaire survey with sample of 650 respondents. Selected survey results are presented and interpreted in the following section. Main research findings and recommendations can be found in the fourth part. The last part summarizes all previous parts of the article. From the survey results can be concluded that there is a significant relationship between knowledge management performance and the ease of use of knowledge management tools.

Eco-Innovation in Manufacturing Process in Automotive Industry

One of the current problems of the global nature is environmental pollution caused by industrial production. Nowadays, we know many advanced hi-tech materials and production methods in the car industry, but when it comes to such innovations, the environment is often forgotten. Therefore it is necessary to find a solution that technological innovations in automobiles will go hand in hand with innovations of emission reductions in manufacturing process. One of ways to achieve a reduction of emissions and prevent leakage of harmful substances is to change the structure of the different principles in the production process (substitute auxiliary compounds, change amount of the compounds, the expansion of the recycling process). The aim of this paper is to highlight the innovation of the manufacturing processes in the automotive industry in order to reduce emissions and save the environment and partially point out also the innovated products of the manufacturing process.

Socio-Economics Aspects of Housing Quality in the Context of Energy Poverty

Energy poverty is a term that is used for energy shortages in terms of providing electricity, heat, cold, etc. and it primarily means a limited or no access to these resources in the context of lack of necessary infrastructure, inability to connect to the transmission system, low income households etc. It is a problem that has a significant impact on the development and formation of young people. Quality of life is closely linked to housing and housing is determined by other factors, and energy poverty can be regarded as one of the most important factors. The aim of this paper is to name the energy poverty as an important determinant of the social dimension of housing quality, which may be a negative boundary element to the social exclusion of people.

Application of Frid’s Knowledge Management Model to an Industrial Enterprise

This paper was carried out with an aim to use a modified knowledge management model, that could provide a knowledge management tool that would ensure decreased downtimes, error rates and could enhance knowledge transfer for a company. This research involved quantitative assessment in measuring knowledge management success by using designed methodologies accompanied by data collection from the quality control department. The results of this research were the measurement of the knowledge management tool success.

Cluster Policy and its Influence on Economic Competitiveness

The paper deals with economic benefits of clusters connected to competitiveness and regional development. Hard and soft benefits of clusters are described in relationship to innovation environment. The main focus is put on cluster policy influence on competitiveness of economy from the point of view of advantages of cluster creation for SME ́s. However, cluster policy contributes to the increase of competitiveness of small and medium enterprises.