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The impact of digital transformation on the business model
69-79Views:446The aim of this study is to examine the characteristics of the digital economy and digital business models, summarising and contextualising the milestones, tools, conditions, socio-economic impacts and areas of the emergence and development of the digital economy. Due to the interdisciplinary nature of the digital economy and its wide range of interpretations, there are no universally accepted, precise definitions and taxonomies, and the subject is delimited by a number of definitions, due to the specificities of the discipline and the approaches taken by studies in particular sub-disciplines. The digital economy is the main driver of economic growth, changing lifestyles, transforming the economy and leading to profound consequences for businesses, jobs and people. The first wave of the emergence of the digital economy can be detected in the second half of the 20th century, when it was driven primarily by the new technology itself, mainly the internet, as a widely affordable and accessible factor driving exponential growth. The future digital economy could be based on a combination of IoT (Internet of Things) and AI (Artificial Intelligence). In a general sense, the digital transformation brought about by the digital economy can be defined as the modification or adaptation of existing business models, as a result of the dramatic transformation in consumer and societal behaviour, attitudes and ways of being, as well as the dynamic pace of technological development, modernisation and innovation. Other areas of the digital economy are new digital models (digital platforms, cloud services), automation, massive data collection, data processing, data analytics, algorithm-based decision making.
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Erasmus+ student flow analysis with the gravity model
Views:291This study aims to examine Erasmus student flows between the 33 Erasmus+ programme countries using a gravity model. The regression analysis quantifies the impact of the factors influencing decisions on the country choice in 2018. The results suggest that the costs embodied by geographical distance and cultural differences significantly diminish the intensity of bilateral student mobility. The research also shows that students prefer to choose a country with reputable, high-quality universities, while tourist attractions do not increase the attractiveness of the host country.
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VALUATION AND APPEARANCE OF HUMAN RESOURCES IN CORPORATE ASSETS
24-31Views:320A significant part of the value of a company is represented by intangible resources, which can be referred to under various names in the scientific literature (e.g. intellectual capital, intangible assets, knowledge capital, etc.). In the scope of the present study, the importance of valuing human resources and possible valuation methods are presented. Human resource accounting is mentioned in a number of academic works, but no unified definition has emerged for describing the term. The human value added model is also discussed, which provides the adjusted value of the company by adding the human assets to the assets side of the balance sheet and the human capital with the related future payment obligations of the employees to the liabilities side. Expert suggestions are also presented, according to which human assets should also be depreciated by means of a certain method or revalued at regular intervals. The provisions of the International Financial Reporting Standards (IFRS) are mentioned, as IFRS also regulate the recognition of future employee expenses and the recognition of internally generated intangible assets and intangible assets acquired in business combinations.
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Is loyalty measurable? The importance and effective assessment of customer satisfaction
45-57Views:245Customer satisfaction is one of the key factors of corporate competitiveness and long-term business success in the 21st century. The rapid advancement of digitalization and the increasing expectations of consumers further emphasize the need to measure and improve satisfaction. The aim of this research is to examine which factors influence customer satisfaction in the case of a specific company, and how discrepancies between service quality and customer expectations can be identified. The study focuses on the gap between perceived service quality and customer perception, for which the GAP model and the SERVQUAL scale provided the theoretical and methodological framework. The research is based on both secondary and primary data collection; the primary research was conducted using a questionnaire, measuring customer perceptions across five key dimensions: reliability, responsiveness, assurance, empathy, and tangible elements. The results indicate that the company has a fundamentally strong customer satisfaction base, particularly in terms of employee expertise and the quality of communication. However, areas for improvement were identified regarding the accuracy of information provision and customer communication, which are also relevant from the perspective of service gaps. The study highlights that properly applied measurement models not only enable the assessment of satisfaction levels but also serve as effective tools for the targeted improvement of service quality.
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The Applicability of Controlling at the SMEs in the Construction Industry
351-358Views:306This model was created mainly for those SMEs from the building industry which have such industrial specialties like low capitalization and tight liquidity. Due to these factors the fast management information system and the focus on operational and financial issues are essential. Based on the facts mentioned above I have tried to provide a technical assistance for the owners/CEOs of these SMEs. Although they have no controlling department they need the fast information flow to support their business processes and to base their decisions aiming for a profitable operation and a sustainable liquidity.