Economic growth has virtually dropped to depression era levels in recent years as the domestic economy was and is still being impacted by severe competition in the international market. With the competition in the markets of most industries, how can we deal with the different stressful challenges to gain a dominant position in regard to competitiveness? There are numerous factors preventing many domestic traditional industries from being transformed, such as: the lack of innovative technical knowledge and competence, the limited necessary funds for manpower and equipment, the restriction of our government¡¦s subsidy clauses, etc. Accordingly, industry holders still keep and run their existing traditional industries, thereby raising obstacles to the promotion of the regional innovative system. The key point to solve the problem is to raise the knowledge technology level for the regional industry clusters. How can our government¡¦s policy help to assist the related industries to form the clusters and practice regional balanced development? The goal is to raise innovation in the necessary technologies; only then can an enterprise¡¦s business be sustained. According to the above, industry clusters constitute an important key to promote industrial development. The regional innovative system emphasizes the reactions and flow among organizations, including government, academia, research organizations, intermediaries, the financial market, the information network, etc. The thriving growth in the domestic economy relies much on the strengthening of innovation policies regarding urban areas. This research will discuss Chinese, Japanese and Korean governments¡¦ achievements in regard to the policies concerning regional innovations and management. The aims of the discussion include the following: 1. Investigating these 3 governments¡¦ successful cases of their innovation policies and strategies of industry clusters, in order to offer the greater Kaohsiung area a reference for practicing an innovative system; 2. Applying the results of the successful cases as suggestions for domestic traditional industries; and 3. Through integrated comparisons and analysis, substantial suggestions and measures for future development are proposed for the interaction between industry and academia, the enforcement of the administrative management regulations of the central and regional governments, the clustering strategies, etc. In addition, new energy, new materials and high technology industries are advised as a direction for the overall industrial development in the greater Kaohsiung area. Finally, the issues of industrial pollution of the environment, increasing the employment opportunities, and the cross-region and cross-nation innovative interactions are also explored.

The electronics industry has become the main industry in Taiwan due to the progress in information technology and emergence of globalization. Generally the management in high technology industry represents¡¨Speedy¡¨,¡¨Systematic¡¨and¡¨Professional¡¨. However, does this management system really mean optimal? Does highly work specialization work better? This study adopts narrative inquiry as the methodology, sharing my working experiences of different management styles and different solutions in similar cases... Based on the reflection of my working experiences, this study finds that the management in traditional industry may work more efficiently than in hi-tech industry. In traditional industries, most employees do not follow standard operating procedure and they even do not build up a complete information platform, but its management is much more ¡§Speedy¡¨¡B¡¨Systematic¡¨ and ¡¨Professional¡¨ than the high technology industry. Furthermore, employees in the traditional industry display more organizational cohesion than employees in the high technology industry. Although the high technology industry builds up a perfect information platform, it also changes and alienates the relationship between employees.

This study examines revenue recognition methods used by high technology firms for sales to distributors. Revenue is either recognized when products are delivered to distributors (sell-in) or when distributors resell products to end-users (sell-through). This is the first empirical study to examine the firms that use these revenue recognition methods and the quality of financial information reported under the methods. I use a logistic regression to compare 479 firm-year observations in the computer and electronic equipment industries that use either the sell-in method or the sell-through method. I find that firms with higher growth opportunities and strong corporate governance are less likely to use the sell-in method. In addition, corporate governance strength moderates the association between use of the sell-in method and both capital requirements and management incentive compensation. Using ordinary least squares regression, I also examine two proxies for financial information quality: the ability of accounting information to predict future cash flows and the association between accounting information and stock returns. Results of these regressions suggest that financial information quality is higher under a deferred revenue recognition method (sell-through). Specifically, the ability of accounting information to predict future cash flows and the association between accounting information and returns are both higher for sell-through firms than for sell-in firms. The results of this study suggest that systematic differences exist between sell-in firms and sell-through firms and financial information quality differs between the two revenue recognition methods.

The purpose of this study is to investigate the relationship between knowledge capital (including research & development (R&D), Automation capital stock (AICT), Electronic system (EICT)) diffusion and productivity. We used translog production function to estimate for all six Taiwan high-technology industries. And we also construct the diversification (DIV) and vertical indicator (VIC) to analysis the relationship with organization using the AICT and EICT.

Everyone has to make different choices when they are in different career stages. Individual choices for study subject and occupation lead to individual career directions and future developments. So this research aims to listen to individual life stories and influence factors through narrative analysis to understand why R&D people choose R&D engineer as their occupation. This research applies narrative analysis of Qualitative research by using intensive interviews to collect life experience of each participant. Individual story style showed individual decision experience and related analysis factors. This research aims to focus on seven participants concerning the issue of career decision making of R&D people in the high technology industries. In order to select a model containing participants¡¦ decision making processes to each of their selecting factors are adequately analyzed with respect to abstracted issues and messages based on their experiences sharing.

As we progress towards the era of knowledge economy, organizations become more dependent on the knowledge-based resources possessed by their employees. In the past, organizations are only concerned with employees¡¦ commitment to the company and hoping they perform citizenship behaviors in favor of the company. Nowadays, it is more important to know that employees also develop an overall belief concerning the extent to which organizations values and cares about them, which is called perceived organizational support. Mutual trust and commitment is needed to fulfill the expectations from the organizations and employees. The purpose of this study is to examine whether employees¡¦ perceptions of organizational support positively affect their commitment to the organization ; whether organizational commitment positively affect the extent to which employees perform citizenship behaviors ; whether commitment mediates the relationship between perceived organizational support and organizational citizenship behavior. After a survey directed at engineers in high-tech industries, results are as the following: (1) perceived organizational support increases employees¡¦ commitment to the organization ; (2) organizational commitment increases employees¡¦ citizenship behaviors ; (3) organizational commitment mediates the relationship between perceived organizational support and organizational citizenship behavior.

In markets with cyclical fluctuations, firms may have different dynamic decision rules facing upturns and downturns of industry cycles. This paper extends the dynamic factor demand model to consider industry cycles. Because investment behavior could be endogenous uncertainty involved on industry dynamics, the current industry dynamic models with state-of-the-art would not appropriately interpret industry dynamics. In order to solve the uncertain problem, we utilize the idea of transfer probability in Markov switching model to catch the industry cyclical behavior. Explicitly incorporating the Markov regime switching mechanism based on Nelson and Kim (2000), this paper measures the firm¡¦s dynamic adjustments when facing upturns and downturns of industry cycles. The empirical work is based on firm level data of Taiwan high-technology industries. The empirical results show that the expansionary strategy in labor and capital usage may not have positive impacts on output when considering uncertainty that may be casued by business cycles. To have correct prediction in cyclical fluctuation becomes important task for high-technology firms. However, the positive contribution of exogenous technology to output growth is so significant. This proves why every industry tries to impel technology in recent years. The industry dynamic model integrated with cyclical fluctuation and demand uncertainty allows us to examine how sharp changes in financial factors might affect investment behavior, technological nature and adjustment effects for industries in facing demand and investment shocks.

Thesis (Ph. D.)--University of Missouri-Columbia, 2000. / Typescript. Vita. Includes bibliographical references (leaves 114-117). Also available on the Internet.

Thesis (Ph. D.)--University of Missouri-Columbia, 2000. / Typescript. Vita. Includes bibliographical references (leaves 114-117). Also available on the Internet.

Thesis (Ph. D.)--University of Chicago, Dept. of Economics, August 2001. / Includes bibliographical references. Also available on the Internet.