Business sustainability has been one of the leading topics of the financial management of Slovak companies since the beginning of the millennium. The initially relatively strict link only to environmental aspects has been supplemented by the economic and social dimensions in recent years, under the pressure of the business environment. Examining the link between a company's financial performance and sustainability is addressed in this paper by the financial ratios method and the correlation and linear regression analysis methods. The subjects of investigation are enterprises from three selected sectors, with the selection criterion for the sample being determined based on the share of sales of the enterprises in the sectoral sales such that the sample includes enterprises with a total share of more than 50%. The aim was to design an integral indicator of business sustainability and linking it to the identified economic performance indicator, Economic Value Added, whereby it insists on economic pillar of sustainability exclusively. The research results show a strong direct dependence of the financial performance to the IU UP (Integral business sustainability indicator) in the supply of "Supply of electricity, gas, steam and cold air" and the independence of the IU UP in the "Information and communication" and "Industrial production" sectors. Further research should go beyond the borders of the Slovak Republic and should be aimed at proposing changes and amendments in IU UP , applying more comprehensive evaluation procedures, while respecting the public availability of input information.

The reputation of companies is one of their key success factors. It is therefore necessary to value this intangible asset. In order to detect possible threats quickly, continuous monitoring of corporate reputation plays an important role in this valuation process. Family businesses are an ideal object for reputation management research, as through their brands they integrate tradition and addressability at the same time. The main aim of the paper is to discuss the issue of innovative approaches to the online reputation management. We performed an in-depth analysis of online reputation through an Advanced sentiment analysis on the significant sample of ten largest family-owned businesses in the world. Taking into account all relevant determinants of reputation such as Google as well as major social networks, namely Facebook, Twitter, YouTube, and LinkedIn. As there is a noticeable difference between the marketing communication of the parent company and the marketing communication of the brand owned by the company, the findings of the analyses will provide a better insight into the issue of sustainable brand development. By identify good practices, as well as highlighting weaknesses, our research has the ambition to contribute to the shift of knowledge in the field of reputation management.

Purpose: The revenues for mobile data transmission overtook the revenue of voice calls for the first time in 2014 in the USA. It can be observed that demand for mobile data -largely driven by video and cloud -is increasing exponentially, while overall data revenue is rising only moderately. This will lead to insufficient revenues stream to increase investments into mobile networks and ensure quality service. Consequently, hereof network performance will deteriorate sharply. At the heart of the problem is the current global pricing regime of fixed multiple MB/GB bundles, irrespective of time of the day, intensity of usage (e.g. video vs. email) and underlying economic value of the data. A new framework is proposed as to optimize and align network capacity and implicit data value/utility, which is crucial to ensure customer satisfaction and access justice.Methodology/Approach: The fundamental differences in pricing voice and data in voice and/or data centric networks are analysed in detail. Information has been synthesized as to develop insights into the impact of different devises and type of digital traffic for the overall performance of mobile networks. Based hereupon, a new framework for mobile data has been proposed to address the increasing misalignment between network capacity, usage and underlying data value/utility. Initial solutions have been proposed and discussed.Findings: While voice calls are easily quantifiable and are largely predictable in its occurrence and network load implications, mobile data traffic shows very large variations depending on type of traffic. While social media messaging by many customers consumes very little capacity, consumption of video streaming by relatively few customers can lead already to network saturation.Research Limitation/implication: Carriers set prices for a fixed amount of data -irrespective of intensity and time of data traffic -which leads to sharp spiky type of traffic patterns essentially signalling sharp overuse during busy hours coexist with large period of underused times.

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