Diploma Thesis deals with the design and launch of the e-shop Hotversionparts.cz. For this purpose is used the knowledge about business through the Internet, Internet marketing, Competitive Intelligence discipline, social networks, car accessories market and the most important - deep knowledge about real competitors. The pur-poses of this thesis are methodical approach to the project, and go from theoretical information surveys to the application of this information in the real environment. The main part of this thesis is the description of Competitive Intelligence field from theoretical point of view with focus on entrepreneur, and using the latest tools for doing the Competitive Intelligence discipline via social networks. The target of theo-retical analysis is the application of methods and principals described here, in the practical part, which focuses on deep analysis of competitive e-shops chosen. The real illustration of the Competitive Intelligence discipline application in the online shop-ping environment is the biggest contribution of this thesis.

The theme of this diploma thesis is design and run the e-shop with airsoft improved airsoft parts and accessories. However, the creation of the e-shop have to be for free. The e-shop will be connected with the same name site page on the social network Facebook.com, where the products will be primarily promoted. To this end, it is necessary to map and explore the possibilities for creating online store for free. Simultaneously, deploy and optimize the Facebook page mentioned before. Partial aim of this thesis is to use tools of Competitive Intelligence at the created Facebook page and on the Facebook pages of competition, to obtain important information for better or for more favorable treatment of Facebook page related to the e-shop.

This thesis deals with the possibilities of using methods of Competitive Intelligence in practice. The main objective of thesis is to design and realize system for collecting, analysis and distribution of data to end users at Crystal Glamour, Ins. To achieve this goal was set several sub - objectives. Analyze the company activities, find its strengths and weaknesses, identify opportunities and threats of company. Based on these data are identified goals of CI and information sources that cover the domain of interest. Then, using software applications from Tovek, spol. Ltd., the relevant articles are searched and analyzed, which are then distributed by the well-arranged report to individual users.

Thesis deals with the use of Competitive Intelligence methods for selected IT company. The main objective of this work is the use of competitive intelligence analysis within the company and the characteristics of the company's competitive environment. Another goal is to identify appropriate information sources to obtain information about the external business environment and tools for monitoring them. The theoretical part of this work comes from the professional literature and focuses on the characteristics of competitive intelligence, and the intelligence cycle, including a description of its phases. Furthermore is mentioned the categorization of information sources and described the tools for collecting and analyzing information on the Internet. Part of theoretical part is a chapter devoted to CI in small and medium-sized companies. The practical part of this thesis deals with designing a system of competitive intelligence for a particular company. The first part includes the evaluation of the current situation in the ICT sector. Next chapter contains useful information sources to track and monitor information. Part of the proposed solution is a proposal profile person responsible for the conduct of CI. Thesis contribution in general involves a practical demonstration of using the CI methods possibilities in small business. From the practical side is the benefit mainly evaluating various analyzes, the conclusions and recommendations drawn from them.

The main purpose of this thesis is to investigate the use of Big Data for the methods and procedures of Competitive Intelligence. Among the goals of the work is a toolkit for small and large businesses which is supposed to support their work with the whole process of Big Data work. Another goal is to design an effective solution of processing Big Data to gain a competitive advantage in business. The theoretical part of the work processes available scientific literature in the Czech Republic and abroad as well as describes the current state of Competitive Intelligence, and Big Data as one of its possible sources. Subsequently, the work deals with the characteristics of Big Data, the differences from working with common data, the need for a thorough preparation and Big Data applicability for the methods of Competitive Intelligence. The practical part is focused on analysis of Big Data tools available in the market with regard to the whole process from data collection to the analysis report preparation and integration of the entire solution into an automated state. The outcome of this part is the Big Data software toolkit for small and large businesses based on their budget. The final part of the work is devoted to the classification of the most promising business areas, which can benefit from the use of Big Data the most in order to gain competitive advantages and proposes the most effective solution of working with Big Data. Among other benefits of this work are expansion of the range of resources for Competitive Intelligence and in-depth analysis of possibilities of Big Data usage, designed to help professionals make use of this hitherto untapped potential to improve market position, gain new customers and strengthen the existing user base.

This thesis serves as Competitive Intelligence in social networks study for 1.A&B a.s. marketing and advertising company. Thesis is devided ito four parts. First part introduces social network as today's phenomenon, presenting it's definiton, basic characteristics and short introduction to Czech and foreign social networks history. It also compares developement trends and user numbers. Second part is focused on defining the competitive environment of 1.A&B company, identifying its competitors on social networks, presenting their basic information. Social networks chosen for competitive intelligence work are selected using Czech internet popullation impact index. Third part is focused on gathering and then analysing introduced competitors' profiles on social networks using automated tools such as Facebook Graph API or commercial one - Social Bakers online tools. In final part, all gathered and analyzed data are evaluated and reccomendations for 1.A&B company are given.

This thesis deals with the possibilities of using methods of Competitive Intelligence in practice. The main objective of thesis is to design and realize system for collecting, analysis and distribution of data to end users at Crystal Glamour, Ins. To achieve this goal was set several sub - objectives. Analyze the company activities, find its strengths and weaknesses, identify opportunities and threats of company. Based on these data are identified goals of CI and information sources that cover the domain of interest. Then, using software applications from Tovek, spol. Ltd., the relevant articles are searched and analyzed, which are then distributed by the well-arranged report to individual users.

The purpose of this dissertation is to investigate the organizational factors that contribute to effective emerging information technology intelligence processes and products. Emerging information technology is defined as a technology which is little commercialized and is currently adopted by not more than twenty percent of the companies within a given industry. By definition, information technology intelligence is a subdivision of competitive intelligence and business intelligence. I discovered evidence that the information technology intelligence process includes assessment of information technology intelligence needs of consumers, collection of data from internal and external sources, analysis of the collected data and distribution of the analyzed data to the consumers. Exploratory factor analysis confirmed the existence of all the variables in the proposed research model. I found empirical evidence that the final technology intelligence product contributes to better decisions made by consumers, their better environmental scanning, and more funding to information technology departments in organizations from different industries and of different sizes.

In retail, the explosion of data sources and data has provided incentive to invest in information systems (IS), which enable leaders to understand the market and make timely decisions to improve performance. Given that users’ perceptions of IS affects their use of IS, understanding the factors influencing user acceptance is critical to acquiring an effective business intelligence system (BIS) for an organization. Grounded in the technology acceptance model theory, the purpose of this correlational study was to examine the relationship between perceived usefulness (PU), perceived ease of use (PEOU), and user acceptance of business intelligence systems (BIS) in retail organizations. A 9-question survey was used to collect data from end-users of BIS in strategic managerial positions from retail organizations in the eastern United States who reported using BIS within the past 5 years. A total of 106 complete survey responses were collected and analyzed using multiple linear regression and Pearson’s product-moment correlation. The results of the multiple linear regression indicated the model’s ability to predict user acceptance, F(2,103) = 21.903, p < .000, R2 = 0.298. In addition, PU was a statistically significant predictor of user acceptance (t = -3.947, p = .000), which decreased with time as shown by the results from Pearson’s product-moment correlation, r = -.540, n = 106, p < .01. The implications of this study for positive social change include the potential for business leaders to leverage BIS in addressing the underlying causes of social and economic challenges in the communities they serve.

The diploma thesis deals with the issue of Competitive Intelligence, its development, typology, process and used information resources. The thesis focuses especially on the analysis of current trends and tools for competition research. The last part of the thesis deals with the use of Competitive Intelligence within the selected company.