This thesis is an exploration on the growth and profitability models of Internet enterprises. Via literature review and interview with experts ,we try to answer the following questions: 1.What's the vision of Internet? 2.How Internet enterprises expand and grow? 3.How to earn profits? And how to generate the synergy by connecting them with each other? 4.Are there any ways to maintain continuous growth and profitability? From the general influence diagram of Heijden, we could believe that knowledge management is the basis of growth, value chain is the gravity center of development, and continuous innovation is the driver of growth. However, the main actions to make external growth are strategic alliance and M&A, and they are also the fastest ways to expand the scale of business. Furthermore, our research also finds that there are ten profit models with respect to dot com companies. They are (1)Customer Solutions Profit, (2)Value Chain Position Profit , (3)Time Profit , (4)Specialization Profit, (5)Brand Profit , (6)New Product Profit , (7)Switchboard Profit , (8)Blockbuster Profit, (9)Patronize Profit ,and (10)Returns Sharing Model¡C Every dot com company could select 2 or 3 models to manage her business and make profits. For network ecology being continuously changeable, every company could develop suitable profit models according to her management character. Finally, by analyzing that how SOFTBANK CO., a venture capital, expands her Netbatsu kingdom, we conclude that cooperation between dot com companies is the best way to survive and grow stronger.

Federally Qualified Health Center (FQHC) organizations, which provide health care services to low-income, underserved patients, are underfunded. From 2000 to 2007, the cost of treating an FQHC patient increased by $146, while federal compensation to FQHCs increased by only $44 per patient. One FQHC organization in rural Alabama experienced financial losses from the fiscal year 2011 through 2014, jeopardizing services to approximately 6,000 low-income patients. The purpose of this qualitative case study was to analyze the subject organization and discover opportunities to improve financial performance. The research question pertained to the opportunities for improving profitability at the subject organization. The conceptual framework was the systems thinking model. Along with data from the literature review, reviews of the organization's archived data containing employee feedback and feedback from unstructured interviews of four of the 14 FQHC chief executive officers in Alabama were used to develop the profitability model. No employees were interviewed or surveyed during this study, however, a review of archived documents revealed information provided by employees that was helpful in developing the profitability model. To help determine the subject organization's performance, data from independent auditors, technical assistants, FQHC performance reports, the organization's electronic health record system, accounting system, meeting minutes and performance reports were coded, classified, and analyzed. Data from these sources was compared to the profitability model and a gap analysis was used to identify the areas and causes of poor performance. The results indicated that the rural environment impacted the organization's financial performance. The subject FQHC organization may be able to use the results of this study to improve profitability. This study contributes to positive social change by providing a profitability model that other FQHC organizations may use to improve their financial viability and expand services to underserved patients throughout the United States.

Thesis "Data Mining in the Field of English Football League Third Division's Betting Odds" deals with data mining referring to acquiring knowledge from data. The main objective of this work is to develop data models for prediction of match results and to compare these predictions with a chosen strategy of betting. The selected betting strategy is based on betting single bets with odds belonging to chosen intervals, which generate a profit. These odds intervals were discovered by analyzing 2006-2009 football matches in a created simulator. On the basis of these odds ranges data models were constructed. Each data model contains a hypothesis which is generated by SD4ft procedure of LispMiner based on all football matches played in seasons 2001-2008. Developed data models are tested afterwards using 2006-2009 football matches data. Results show that all derived data models are profitable in all four seasons under consideration. More than half of them successfully predicted 2009 matches as well. The analysis showed that betting agencies offer mostly odds which make it almost impossible to be profitable while betting on matches according to their odds. In spite of this fact I identified some odds intervals with which you can success while betting single bets on home-team, draw or visitor-team with odds falling within these intervals. Association rules with reasonable confidence and support can generate high profitability. It is important to realize that there are no data models which guarantee a certain profit. Most of developed data models are not applicable in the real world, some of them can actually generate a loss. Nevertheless there are data models to be found that could generate a profit in the real world.