Current world economy is impacted by the new and the old economy systems primarily due to high-tech software and hardware products that are constantly emerging to the market place. It has brought many innovations and high efficiencies to people¡¦s daily lives, e.g., the food, clothing, housing and transportation, etc. The influence of this evolution is potentially enormous and such evolution inspires people¡¦s confidence in the current Electronic Age. By reviewing the world¡¦s current economy, it appears that winner¡¦s economy system must rely on both the new and the old economy industries positively. In other words, the new economy has to be established on the foundation of stable traditional industries, and the old economy system must be improved and advanced with the help of the new technology. The basic reason is that the necessities of people¡¦s life are mostly supplied by the traditional industries from the old economy. As an island nation under the trend of the world¡¦s economy, Taiwan¡¦s new and old economy systems are required to be balanced in such a way that mutually one benefits the other. Because of this concern, the new government proposed a ¡§Green Silicon-Island Economical Development Project¡¨, and aggressively launched a ¡§Boosting Traditional Industry Plan¡¨ as well. By cultivating the traditional industries, the new economic technology can prosper accordingly. At this opportunistic juncture, Company A formulated a 5-year business plan to venture into a traditional industry: manufacturing of friction materials. The goal is to raise 4 million USD for starting up a production facility to manufacture and market a wide range of friction materials, in an effort to respond to the Government¡¦s call of boosting traditional industries. The main focuses of the proposed business are to build a solid manufacturing foundation on Taiwan, to market the products to the entire world, and to thrive the business to excellence with technology-based operation and management. The variety of friction materials is overwhelming. In terms of material composition, friction materials can be classified into the following four types: semi-metallic, sintered metallic, paper-based, and carbon fiber-based materials. This proposal explores key issues that are essential to the success of the production of all four types of friction materials. These key issues include: industry infrastructure, market size analysis, marketing strategies, operation networking, risk analysis, and core technical strength. Based on the above analysis, a 5-year financial planning is presented. Detailed analysis for the financial objectives on financial feasibility, cash flow, break-even point, and investment interests are also included. ¡K¡K¡K¡K¡K

<p>CleanTech is the sector where technologies intended to reduce the harmful effect that our current lifestyle has on the environment are found. In Sweden the companies developing these technologies has not yet managed to get their deserved part of Swedish venture capital. A number of venture capitalists do invest in CleanTech, however the majority is hesitant. The hesitation is to a large extent said to be born in the many risks associated to a CleanTech investment. This thesis attempts to address this issue by describing and analyzing how venture capitalists reduce risks when investing in a CleanTech company. An abductive approach has been used to conduct the study, mainly based on primary, qualitative data. The data was gathered through six face-to-face interviews with Swedish venture capitalists active within the CleanTech sector.</p><p>The different risks expected to be found in a CleanTech investment are first presented grouped into three broad risks groups; Agency risk, Business risk and Innovation risk. This is followed by a framework covering methods and tools that can be applied by venture capitalists in an attempt to reduce risks in their investments. These being; Convertible equity, Syndication, Information system, Monitoring, Milestones, Bonding, Share options, Stage financing and Intellectual property rights.</p><p>The respondents do not view the risks associated to CleanTech as high as generally perceived. They acknowledge that the risks exists but not to any larger extent than in any other investment. When reducing risk in their investment the respondents make use of commonly known and generally used methods and tools. These are not deliberately chosen in order to reduce a specific risk but rather to safeguard the investment as a whole. It is not just the tools in themselves that leads to a successful reduction of risk, but rather when combined with the respondent’s as well as the entrepreneurs skills and experiences.</p>

Thesis (Ph. D.)--University of Chicago, Graduate School of Business, June 2001. / Includes bibliographical references. Also available on the Internet.

Thesis (Ph. D.)--University of Chicago, Graduate School of Business, December 2003. / Includes bibliographical references. Also available on the Internet.

This dissertation examines the effect of career concerns on the pattern of investments selected by venture capital fund managers. I propose a simple model in which managers strategically adjust the variance of their portfolio to maximize the probability of raising a follow-on fund. The model demonstrates that career concerns can encourage venture capital fund managers to inefficiently select investments that are too conservative. The influence of these career incentives declines following good initial fund performance, leading to a positive correlation between early fund performance and late fund risk-taking. Using a unique data set of company-level cash flows from 181 venture capital funds, I demonstrate that the intra-fund patterns of investment in venture capital broadly match the predictions of the model. First, I show that the characteristics of career concerns in the venture capital industry are consistent with the assumptions which drive the model. Funds who perform well in their initial investments raise a new fund more quickly, and the size of their next fund is concave with respect to the existing fund's performance. Second, using a maximum likelihood methodology I show that venture capital fund managers select more risky portfolio companies following good performance and tend to be less diversified. / text

This thesis comprises three essays dealing with information and learning in business decision-making. The first essay presents a theory explaining the existence of dedicated financial intermediaries (i.e., venture capitalists) who serve the entrepreneurial sector. Building on the well-established idea that informational asymmetries are central in entrepreneurial financing, the main hypothesis is that venture capitalists exist precisely because they develop special expertise in reducing information-based market failures through careful selection, monitoring, and other means. The primary contribution of this chapter lies in linking the theoretical structure to detailed evidence on venture capital investment in Canada. Specifically, the theory suggests four empirical predictions. It is argued that the evidence is consistent with these predictions and therefore with the central hypothesis. In the second essay, two agents, an entrepreneur and a venture capitalist, engage in repeated, ultimatum-style bargaining about a two-dimensional financial contract. They base their offers on simple heuristics, which are processed by a genetic algorithm. The algorithm captures some fundamental principles of human learning. A simulation experiment reveals that with incomplete information, disagreement and delays in bargaining are observed more frequently than under complete information. This can be explained by the sensitivity of agents' learning to information. It is also found that the agent in the weak bargaining position might benefit from incomplete information. The third essay explores a range of hypotheses that might explain differential intra-industry firm performance. A behavioral model is developed in which simple rules guide firms on whether to adapt internally and/or imitate others in order to effect organizational change. This dynamic, multi-period model, in which firms simultaneously compete, is simulated under assumptions which correspond to the hypotheses about differential firm performance. Results reveal that stochastic managerial choice and organizational inertia are plausible sources of differential firm performance. Experiential learning, in and of itself, has only limited influence on heterogeneous firm performance. Interestingly, imitation may be an undesirable strategy for underperforming firms either because it is aimed at a "moving target" or because the targeted market niche is already crowded.

All venture capital investments exhibit some form of asymmetric information. The seminal paper on the structure of venture investments, Kaplan and Stromberg (2004), investigates how venture capitalists use deal construction to control agency conflicts within funded deals and their associated internal, external and execution risks. Another key strand of the academic literature has reviewed the contractual arrangements venture capital firms reach, the process of venture capital selection and determinants of their success from a post-investment perspective (Fried and Hisrich (1994), Manigart, Vermeir and Sapienza (1996), Gompers and Lerner (2004), Wright and Robbie (1998)). This thesis also explores venture capital investment, albeit from a preinvestment standpoint. In contrast to Kaplan and Stromberg???s (2004) demonstration of the use of venture capital mechanisms to control agency issues, this research addresses how agency issues influence the final selection of potential investments by venture capitalists. Kaplan and Stromberg (2004) use post-funding metrics to capture risks, which influence post-contract design. From a pre-funding perspective, internal, external and execution risks are subjective, rare and difficult to measure. Nevertheless, this thesis uses pre-funding proxies to replicate these risks, some of which have direct empirical academic support. Information for sixtytwo deals, thirty-four funded and twenty-eight unfunded, was hand collected through a combination of surveys, interviews and consultation with five of Australia???s leading venture capital firms, and individuals from the Australian Private Equity and Venture Capital Association (AVCAL) board and executive. The key results indicate that once past initial screening stages, investment proposals that have a higher likelihood of receiving venture investment are those that had prior government investment, and/or, where the entrepreneur has proposed the investment be through milestone tranches and where revenue is already being generated (for early stage ventures). The results suggest that venture capitalists tend to allocate capital to investments perceived as ???safer??? with respect to agency conflicts. More specifically, venture capitalists are more reliant on signals of quality and lower risk, such as government grants, restriction of capital outlay and prior revenue generation ??? all of which reduce associated levels of internal and execution risk in new ventures.

Dissertation--Technische Universität Dresden, 2005 / Includes bibliographical references.

Thesis (Ph. D.)--University of Washington, 2007. / Vita. Includes bibliographical references (leaves 136-148).

Dissertation--Technische Universität Dresden, 2005 / Includes bibliographical references.