This thesis analyzes the current situation of the company ST Profi podlahy. Due to the nature of the business is presented product range the company, business processes and shopping atmosphere. Containing are proposals to expand the supply of goods and services to customers, corporate promotion, a new website and internal corporate signs of potrfolio. Enterprise decreases mainly due to increasing trading floors via the internet for lower prices. Monitoring price of internet retailers and renaming goods is a way how a company can defend itself and remain competitive.

This thesis deals with creating a draft website and information system for the Pension Radost. Defines theoretical basis necessary for the creation of websites and information systems, analyzes the current status and requirements. The work also includes a survey. Based on the findings and proposal requirements are designed website and information system and their evaluation in terms of time and cost.

Diploma thesis is about creating server application that process and interprets data from the database. Main aim of such application is able to process a large number of database requests in real-time environment. Provided database contains records of measuring download speed and quality of mobile connection via different radio technology from various providers. Those measured data are sent from users all around the world and amount of data collected is still growing. Therefore created server application can adapt to increasing size of database thanks to aggregation. This method of aggregation and use of index in database tables are further discussed in the theoretical part. Mainly putting indexes in tables produce significant acceleration of processing database requests. Final product of this thesis is an application that consist of three components: a server application running aggregation, website that interprets measured data and back-end interface providing measured data as well. Data at the website are presented in form of graphs for different countries and used radio technologies. Web address and user manual for finished applications are provided in the fourth chapter of diploma thesis. In the last part of thesis are performed various speed tests of programmed application that confirm the effectiveness of selected and described methods to accelerate work with the database.

Als Vertreter einer webbasierten eGovernment-Anwendung wird die Website der Stadt Leipzig in Hinblick einer möglichen Optimierung der Suchmechanismen analysiert. Dazu wird zu Beginn die Ausgangssituation auf vorhandene Daten und existierende Probleme untersucht. Es wird eine These bzgl. des unterschiedlichen Sprachgebrauchs auf Redaktions- und auf Nutzerseite formuliert. Der Analyse liegen die Dokumente der Website, sowie Suchanfragen der Nutzer zu Grunde. Aus den Dokumenten werden Fachbegriffe mit Hilfe des ConceptComposers extrahiert und diese zusätzlich mit den Suchanfragen verglichen. Andersherum werden auch die Suchanfragen mit den Dokumenten der Website verglichen und spezifische Begriffe des Sprachgebrauchs der Nutzer ermittelt. Während der Analyse wird eingehend auf das Thema Mehrwortbegriffe eingegangen, sowie verschiedene Methoden der Automatischen Sprachverarbeitung beleuchtet. Im direkten Zusammenhang mit der Analyse sind Werkzeuge entstanden, die es ermöglichen die Analyse in andere Umgebungen zu portieren. Es ist ein einfaches Framework für die Integration von Verfahren zur Berechnung von Synonymen entstanden, das auf die gewonnen Daten aufsetzt und es werden Wege für die Generierung eines Wörterbuches 'Amt-Bürgersprache' aufgewiesen.

Title: The FTVS Website as an Instrument of Marketing Communication: Content Analysis of the English Version from the Viewpoint of Target Audience. Objectives: To asses the content of the English version of the website and suggest its improvements to increase the efficacy of marketing communication. Methods: Content analysis, comparison Results: Detailed analysis of the website has been carried out, drawbacks of current layout (both content and formal) have been described. Modifications and improvements have been proposed. Keywords: Marketing, communication, website, web content, university, FPES

Hohe Benutzertauglichkeit und Akzeptanz eines Webseitenservices sind nur dann gewährleistet, wenn diese auf die funktionalen Bedürfnisse, aber auch auf die strukturellen Vorstellungen ihrer Benutzer zugeschnitten sind. Im Kontext einer Webseite zur „Suche nach E-Learning-Produkten im Internet“ wurde untersucht, inwieweit die Kenntnis der Mentalen Modelle potenzieller Nutzer den Softwareentwicklungsprozess positiv beeinflussen kann. Dabei erlaubte die Erhebung Mentaler Modelle mit Hilfe der Struktur-Lege-Technik (SLT) als Evaluationsmethode einen Vergleich mit der tatsächlich entwickelten Webseite. Die Studie zeigte, dass trotz zuvor bereits durchgeführter, klassischer Evaluationen (Usability Tests, Anwendung von Heuristiken und Cognitive Walkthroughs) 40 Funktionsbereiche genannt wurden, die auf der tatsächlichen Webseite nicht vorgesehen oder umgesetzt sind. Daraus folgt, dass die Erhebung von Mentalen Modellen ebenfalls bereits vor dem Software-Entwicklungsprozess durchgeführt werden soll.

I dagens samhälle är maskininlärning en metod som blir allt mer populär för att lösa olika problem som företag ställs inför världen runt. Många företag har berg av lagrad data som inte används till någon nytta. Den datan kan användas på många olika sätt för att göra förbättringar inom företagen. Ett av sätten är maskininlärning, det har blivit mer och mer populärt för att skapa rekommendationer. Det här projektets syfte är att skapa ett bevis på konceptet att en maskininlärningsmodell är kapabel att ge rekommendationer baserat på historisk data. Projektet kommer vara riktlinjer för hur Centrala Studiestödsnämnden (CSN) ska fortsätta med maskininlärning som ett alternativ till manuella rekommendationer. Det uppnås genom att determinera vilken data som ska användas, förstå datan som används och välja en algoritm som passar den datan. Sedan kan algoritmerna användas för att skapa maskininlärda modeller som kan testas i diverse olika sätt för att se vilken som passar ändamålet. Två modeller skapas med olika algoritmer som båda passar uppgiften. Modellerna testas genom praktiska och teoretiska test. Resultatet visar att algoritmerna är liknande i deras predikterade rekommendationer men har en del variation. / In today's society machine learning is a growing method to solve certain problems faced by companies worldwide. Many companies have mountains of stored data that are not being utilised. This data can be used in numerous ways to make improvements within these companies. One of the ways is machine learning, it is used more and more these days to generate recommendations. This project's purpose is to make a proof of concept of a machine learning model capable of giving recommendations based on historical data. This proof of concept will serve as guidelines to Centrala Studiestödsnämnden (CSN) in how they should approach machine learning as an alternative to manual recommendations. This is achieved by determining what data is to be used, understanding the data selected and then picking an algorithm suitable for that data. Then the algorithms will be used to create machine learned models which will be tested in various ways to see which works best for the task at hand. Two models are created with different algorithms that both fit the purpose. The models are tested through practical and theoretical tests. The results show that the algorithms are similar in which predicted recommendations they give but have slight variation.

Due to digitalization, e-commerce and online presence is something most of us take for granted. Companies are moving more towards an internet-based arena of sales, rather than traditional commerce in physical stores. This development has led to that firms’ choses to market themselves through various online channels such as social media. Big data is our digital DNA that we leave behind on every part of the internet that we utilize. Big data has become an international commodity that can be sold, stored and used. The authors of this thesis have investigated the way international firms extract and use big data to construct customized marketing for their customers. This thesis has also examined the ethical perspective of how this commodity is handled and used, and people’s perception regarding the matter. This is interesting to investigate since very few researches has been previously conducted combining big data usage with ethics. To accomplish the aim of this thesis, significant theory has been reviewed and accounted for. Also, a qualitative research has been conducted, where two large companies that are working closely with big data has been investigated through a case-study. The authors have also conducted six semi-structured interviews with people between the age of 20-30 years old. The outcome of this thesis shows the importance of implementing ethics within the concept and usage of big data and provide insight into the mind of the consumer that has been lacking in previous research of this subject.

This thesis analyzes behavior of customers on an e-commerce website in order to predict whether the customer is willing to buy something or is just window shopping. In addition the secondary model predicts, if the customer is going to leave the e-commerce website in next few clicks. To answer this questions different frameworks are tested. The base model used is the Logit model. The base model is compared with more sophisticated methods in machine learning - with neural networks. The best results were yielded by Recurrent neural network - the Long Short-Term Memory (LSTM). The results of the analysis confirm importance of the click stream data and calculated features that track user behavior on the e-commerce website, type of the page (product, category, information), product variance and category variance. The thesis emphasizes practical implications of this models. Two possible practical implementations are presented. The models are tested in novel ways to see how would they perform if implemented on the real e-commerce website.

The implementation of electronic business (e-business) in organisations has led to a major improvement in business performance in both developed and developing countries. This improvement as well as market forces have put pressure on Small and Medium-sized Enterprises (SMEs) to adopt e-business. However, the e-business models adopted by SMEs are often abstruse and poorly represented, which leads to time consumption and miscommunication between the stakeholders involved, the business operations and Information Technology (IT) functions. These unclear e-business models make it difficult to evaluate its value. This research examines the elements necessary for this e-business value creation and draws from different disciplines and theories to create a comprehensive model for e-business evaluation in Southern African SMEs. Most studies done on e-business in Southern Africa have been found to be on challenges of technology, a lack of resources such as financial and user capabilities and challenges in business processes. Some gaps in the e-business literature have been found to exist on issues of alignment of business mission and strategy, entrepreneurial drive and management capabilities. The study adopted Gerbner’s theory of communication exchange for the data collection strategy and process, which posits that by studying the events of the communication exchange, one can infer about the state of the systems engaged in the exchange and their relationships. Consequently quantitative website content analysis of 100 Southern African SMEs was conducted to determine their e-business value. The results revealed that an SME that comprises of a properly aligned business mission and strategy, business processes that are enabled by e-business, an entrepreneurship orientation, management capabilities and employees as well as technology integration will achieve ebusiness value. This was seen by a positive influence of 68% on e-business value from these elements. Conversely 32% of this influence is from external elements, and future studies could explore more elements that influence e-business value. Also, a small employee size was found to not be a hindrance of e-business value. Lastly, overall infrastructural e-readiness is the same in Botswana and South Africa, which refutes claims that e-readiness is higher in South Africa than the rest of the Southern African countries. However, SMEs in Botswana lag behind when it comes to technological aspects such as technology equipment, successfully integrating their systems within the businesses; and their IT in their entire businesses and networks, forming technology interdependencies of processes with external businesses, and using online means to transfer information to clients/customers. The developed model (EBVE model) could help (1) stakeholders investigate, communicate and make appropriate decisions and (2) aid SMEs to successfully integrate e-business in their business processes and practices.