This thesis examines firm performance through the dot-com bubble through the lens of executive compensation. Hypotheses based on the theoretical literature of Bolton, Scheinkman and Xiong (2006) as well as Bertrand and Mullainathan (2001) in regards to management compensation in a speculative bubble motivate three regression models with differing market-cap-growth based dependent variables and specific compensation variables. Regression analyses test the models using public compensation and security data from S&P's Execucomp and Compustat databases. Synthesizing regression results show that stock option vesting schedules and executives' status on the board of directors may significantly affect firm performance through the dot-com bubble, but more analysis, using more robust data, is necessary to verify either claim.

中國網路市場近兩年的火紅讓許多人注意到中國的快速成長，噹噹網作為此次的研究對象，用來深入探討整個中國網路市場的生態與環境。 此篇論文探討中國網路公司噹噹網，如何在商業模式與亞馬遜相同，並且只擁有中國市場之下，仍然可以得到投資人很好的投資評價。中國的特殊環境造就了本土公司可以打敗全球跨國公司的現象。 最後此論文提到一些對投資中國網路股的建議，希望從噹噹網近一年的表現給予投資人一些投資啟示 / This article discusses Dangdang, the Chinese Amazon.com to demonstrate the characters of Chinese internet industry. I found out that Chinese internet industry is prospering due to the overall economy growth and improved internet penetration. Albeit Dangdang has a very similar business model with Amazon, the complicated Chinese market leads Dangdang to beat Joyo/Amazon.cn in online book sales in China. In the general merchandise Dangdang wants to aim for is a huge challenge and may lead the future instability to Dangdang. The stock price correction of Dangdang and other Chinese internet companies give investors some warnings that the sustainable and profitable business model should be more important than anything. It should be very careful to invest in Chinese internet stock even the growth rate is appealing.

This thesis deals with the impacts of information and communication technology investment surge on USA economic growth in the 1990s. Besides others, rapid development of these technologies also led to the creation of a stock market bubble, which affected the expansion phase of the economic cycle. Its burst in 2000-2001 resulted in economic slow-down and end of the longest recorded economic expansion in the history of the United States. Main part of the thesis discusses the benefits of information technology for economy and further evaluates the role of the speculative bubble in the development of consumption and investment expenditures. The thesis results suggest that the increase in capital intensity and sharp stock market price inflation significantly accelerated the dynamics of the economic growth in the second half of the described cycle.

Economic growth is the increase in the inflation-adjusted market value of the goods and services produced by an economy over time. The total output is the quantity of goods or servicesproduced in a given time period within a country. Sweden was affected by two crises during the period 2000-2010: a dot-com bubble and a financial crisis. How did these two crises affect the economic growth?     The changes of domestic output can be separated into four parts: changes in intermediate demand, final domestic demand, export demand and import substitution. The main purpose of this article is to analyze the economic growth during the period 2000-2010, with focus on the dot-com bubble in the beginning of the period 2000-2005, and the financial crisis at the end of the period 2005-2010. The methodology to be used is the structural decomposition method.     This investigation shows that the main contributions to the Swedish total domestic output increase in both the period 2000-2005 and the period 2005-2010 were the effect of domestic demand. In the period 2005-2010, financial crisis weakened the effect of export. The output of the primary sector went from a negative change into a positive, explained mainly by strong export expansion. In the secondary sector, export had most effect in the period 2000-2005. Nevertheless, domestic demand and import ratio had more effect during the financial crisis period. Lastly, in the tertiary sector, domestic demand can mainly explain the output growth in the whole period 2000-2010.

Syfte: Syftet med denna studie var att se hur och varför volatiliteten påverkades i DJIA, S&P 500 och NASDAQ Composite under IT-bubblan. Metod: Års- och månadsvolatiliteten för DJIA, S&P 500 och NASDAQ Composite har beräknats under 1995-2004 med hjälp av data från Yahoo Finance. Empiri: Resultatet visar att volatiliteten var väsentligt högre i NASDAQ Composite än vad den var i S&P 500 och DJIA som i sin tur höll en liknande volatilitet i förhållande till varandra. Analys: I analysen framträdde det att volatiliteten blev väsentligt högre i samband med att bubblan sprack under maj 2000 fram till dess att paniken lade sig kort efter maj 2002. Det fanns en hög överensstämmelse mellan denna rapport och övriga tidigare studier. Teorierna var mestadels väl applicerbara. Slutsats: Volatiliteten för DJIA, S&P 500 och NASDAQ Composite var som högst mellan 2000 och 2002 under undersökningsperioden 1995-2004. IT-bubblan uppstod samt sprack till följd av irrationellt investeringsbeteende bland investerarna på aktiemarknaden och paniken som uppstod efteråt gjorde att volatiliteten på aktiemarknaden höll sig förhållandevis hög fram tills den lade sig kort efter maj 2002. NASDAQ Composite hade högst volatilitet till följd av IT-bubblan medan DJIA och S&P 500 hade likvärdig volatilitet. Samtliga index följde ett liknande mönster, detta var troligtvis på grund av att företag från NASDAQ Composite kunde återfinnas i S&P 500 samt DJIA. / Purpose: The purpose of this thesis is to see how and why the volatility was affected in DJIA, S&P 500 and NASDAQ Composite during the Dot-com bubble. Method: The yearly and monthly volatility of DJIA, S&P 500 and NASDAQ Composite were computed with data from a period spanning 1995-2004, which were collected from Yahoo Finance. Empiricism: The results illustrate that the volatility was vastly higher in NASDAQ Composite than in DJIA and S&P 500 which in turn yielded a comparable volatility in relation to each other. Analysis: The analysis extracted the fact that the volatility rose considerably after the bubble burst during May 2000 and started waning after the panic died out circa May 2002. There were a relatively high harmony between the results of this report and the earlier studies which it was compared to. Conclusion: The volatility for DJIA, S&P 500 and NASDAQ 500 was higher between 200 and 2002 than during the rest of the observed period. The Dot-com bubble arose due to irrational investment behavior among investors and the panic which arose afterwards contributed to the increasing volatility which maintained a high level until it subsided after May 2002. NASDAQ Composite had the highest volatility during the Dot-com bubble while DJIA and S&P 500 had a similar volatility. All indexes followed a similar pattern, this was probably due to that companies from NASDAQ Composite reasonably should be found in S&P 500 and DJIA.

This thesis is devoted to design and build a comprehensive business plan with a view to future implementation in practice. The work is devoted to complete the process from setting up a company to develop a business plan and its planned implementation. The introductory part describes the theoretical foundations for new business, which are followed by my knowledge in analytical and practical part. The practical part is focused on developing very specific dot-com business plan, there is an emphasis on feasibility in practice.

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.

The economic prosperity of the late 1990s was characterized by a perceived expansive growth that increased the expectations of a company's performance. WorldCom, a telecommunications company, was a victim of these expectations that led to the evolution of a fraud designed to deceive the public until the economic outlook improved. Through understanding what led to the fraud, how the fraud grew, and what its effects were, lessons can be derived to gain a better understanding of the reasons behind a fraud and to prevent future frauds from occurring or growing as big as the WorldCom fraud did.

<p>This thesis examines companies offering their services for free to Internet users, byemploying digital free business models. As a framework Chris Anderson’s classificationsof “free” business models are used. A sample of eleven companies that provide “free”services was selected and divided into four groups. These were search engine, socialnetworking/community, content based and others. Their profitability was then measuredin relation to their valuation with the help of P/E ratios within and among the groups. Aregression analysis was also conducted to compare profitability of either one of two“free” business models used by the researched companies.Findings were that search engine and social networking/community companies appear tohave profits for the period researched. No strong trend for overvaluation could be foundin either of these groups, except for individual companies with high P/E ratios. Neithercompany within the content based group showed any profits. Their marginal costs weretoo high but this may change with technological progress. Regression analysis could notshow any significant results employing either the “Freemium” or the advertising “free”business model to be more profitable than the other. Significant results could be shownbeing a content based company and being unprofitable. Comparison between specificcompanies gave mixed results but network effects appear to create dominant playerswithin each group. Employing more than only the advertising “free” business modelseems to be efficient in raising revenue per user for social networking/communitycompanies.</p>

This thesis examines companies offering their services for free to Internet users, byemploying digital free business models. As a framework Chris Anderson’s classificationsof “free” business models are used. A sample of eleven companies that provide “free”services was selected and divided into four groups. These were search engine, socialnetworking/community, content based and others. Their profitability was then measuredin relation to their valuation with the help of P/E ratios within and among the groups. Aregression analysis was also conducted to compare profitability of either one of two“free” business models used by the researched companies.Findings were that search engine and social networking/community companies appear tohave profits for the period researched. No strong trend for overvaluation could be foundin either of these groups, except for individual companies with high P/E ratios. Neithercompany within the content based group showed any profits. Their marginal costs weretoo high but this may change with technological progress. Regression analysis could notshow any significant results employing either the “Freemium” or the advertising “free”business model to be more profitable than the other. Significant results could be shownbeing a content based company and being unprofitable. Comparison between specificcompanies gave mixed results but network effects appear to create dominant playerswithin each group. Employing more than only the advertising “free” business modelseems to be efficient in raising revenue per user for social networking/communitycompanies.