根據調查指出，台灣12歲以下的人口上網率已達61%以上，平均三位學童就有兩位曾經使用過網路，足見網路在青少年族群中的滲透力。這些「網路世代」的孩子們在自我概念、人格發展與社會關係，也深受網路的影響，不同於過往世代的成長經驗。 此一新興媒體的影響力，在他們的身上表現的最為明顯。然而，網路是一個多元卻也複雜的媒體。而此時正是兒童價值觀與人格形塑的重要時期，其心智未成熟，無法判斷網路內容與行為的正確性。因此，本研究欲探討網路使用與網路社群關係對此階段的兒童在價觀上的相關影響，並得到結論如下：一、人口背景變項對於學童價值觀的影響力有限；二、自我意向與兒童價值觀具有相當程度之關連；三、網路社會化學習機制的參與，對於兒童價值觀具有影響力。 / Based on survey, the average rate of internet use of those who under 12 years old is beyond 61%.It is obvious that internet has great impact on self concept, personality development and social relation of this "Net generation".They have different experience from other generations. However, internet is a emerging media of variety and complexity. And this is an important period of child personal value developing and personality shaping. Their immature mind may not determine the correctness of internet content and behavior.Consequently, this study examined how internet usage and virtual community affect personal value.

目前世界各地風起雲湧的創業競賽，不論是大學或民間單位主辦，都有規模逐漸變大，參加隊伍數量增多等趨勢。參賽的隊伍由某區域性大學擴展到該國所有大學，進而全球化。這一波大學生參加創業競賽的風潮，也帶動各知名大學逐漸重視創業研究，在創業課程的數量、種類、重要性也日趨增加。 　　在各國創業競賽風行之時，國內兩大創業競賽也已悄悄地邁入第四屆的比賽了，也算是漸入成熟的階段。本研究嘗試以參賽者主觀評鑑的角度來探討其對於參加創業競賽的學習效果。 　　因此不同的創業競賽模式、團隊背景、參賽動機甚至於團隊運作情形對於知識學習與能力提升的學習成效否有不同的影響？若是不同，又有哪些差異？這便是本研究欲探討的問題。 　　本研究採用結構式問卷輔以個案訪談來收集資料，主要研究對象為第三屆TIC100科技創新競賽與第三屆台灣工業銀行創業大賽之團隊成員。 　　經分析資料，研究發現如下： 　　1. 透過創業競賽的學習，確實可以學習到創業的知識與能力。 　　2. 透過創業課程的要求與輔助參加創業競賽，對於創業知識與能力的學習成效最佳。 　　3. 不同的創業競賽模式其對於知識學習、能力提升與整體學習成效無明顯差異。 　　4. 學習型導向創業競賽整體學習成效較實務型導向創業競賽佳。 　　5. 競賽參與動機對於知識學習、能力提升與整體學習成效有明顯正相關。 　　6. 不同的團隊背景其對於知識學習、能力提升與整體學習成效無明顯差異。 　　7. 團隊運作情形對於知識學習、能力提升與整體學習成效有明顯正相關。 / There are more and more entrepreneurial competitions held by universities or big famous companies years by years. The number of teams participating games grows rapidly and the region of some contest expands from within a college activity to a global one. With this popular activities, it also makes all famous universities and colleges pay much attention to entrepreneurial research and the quantity and variety of entrepreneurial courses have become increasingly important. 　　With foreign entrepreneurial competitions’ popular, the tow entrepreneurial competitions in Taiwan are also get into 4th . This study try to focus on entrepreneurial competitions’ learning effect. 　　Therefore, if there any different learning effect on entrepreneurial knowledge and skill between different competition model, team background, motivation, even if teamwork situation? 　　This study has adopted structural questionnaire and case study to collect data and information. The major study targets are the members of 3rd TIC100 Technology Innovation Competition and 3rd Industrial Bank of Taiwan Cross-Century Entrepreneur Competition. 　　After doing interview and analysis, it gets several conclusions in this investigation: 　　1. It indeed can learn about entrepreneurial knowledge and skill through entrepreneurial competition. 　　2. The learning effect on entrepreneurial knowledge and skill will be better by taking entrepreneurial course and participating in entrepreneurial competition. 　　3. There are not noticeable different on learning effect between different entrepreneurial competition model. 　　4. Learning-orientated entrepreneurial competition’s learning effect is better then practical-orientated entrepreneurial competition. 　　5. There are noticeable correlation between participating motivation and learning effect. 　　6. There are not noticeable different on learning effect between different team background. 　　7. There are noticeable correlation between teamwork situation and learning effect.

創新一直是經濟學長久想要補捉的現象之一, 能夠成功地描述人類的創新, 就能解釋微觀的個體興衰以及巨觀的經濟成長。本研究嘗試建立一個以商品內涵為中心的經濟體系, 包裝在生產者和消費者所組成的商品市場。個體是以軟體代理人 (software agent) 來建模, 其被賦予獨立的學習機制。藉由個體的市場互動模擬, 我們可以更進一步的瞭解創新所帶來經濟成長背後的底層結構。有別於過去的研究對商品的描述。我們使用的方法可以同時兼具商品的質與量, 換言之, 商品的異質與同質大量生產目的是為了滿足各式各樣不同的消費族群。透過消費者對商品的篩選機制, 生產者的優勝劣敗於是產生。什麼樣的特徵具有較佳的存活機率, 什麼樣的組合結構會帶來較高的經濟成長 (即創新所帶來的福利效果), 便成為我們積極想要探索的問題。 / Innovation has always been viewed as one of the phenomena economists ardently attempt to explain. Once the process of innovation is successfully identified, it can be applied to describe not only individual progress but also the economic development as a whole. In this study, a commodity market with producers and consumers is conducted. Each producer has been modeled as a software agent who can independently perform learning functions. The simulation of the market activities may foster our understanding of the base structure of economic development brought by innovation. Unlike past research, our approach takes into account both the quality and quantity of a manufactured good. In other words, in respond to the need of diverse consumers, a producer may choose to adopt quantity-oriented or quality-oriented strategy. Success is defined in terms of the popularity of goods. This paper aims to discuss the characteristics and commodity combinations of successful producers. By doing this, the benefit of innovation can therefore be unveiled.

本研究探討長期投資人之最適資產配置問題，並著重於通貨膨脹風險之分析。第一部份討論確定提撥退休金制度下，機構投資人或高所得自然人如何擬定投資策略規避通貨膨脹風險，達到極大化期末財富效用期望值。此研究擴展Battocchio與Menoncin (2004)所建構資產模型，不僅探討市場風險，亦考量通貨膨脹不確定性與基金費用誘因、下方風險保護兩機制，研究對資產配置行為之影響，並依動態規劃方法求得投資策略公式解。第二部份則強調下方風險之重要性，檢視在最低保證收益下，長期投資人跨期資產配置之財富管理議題，並回顧Deelstra et al.(2003)之模型架構，依平賭方法求得投資策略公式解，研究結果顯示基金投資策略可表示為最適CRRA(γ,T)型態共同基金與最低收益避險之組合。另一方面，如何估計通貨膨脹風險亦為本文強調之重點。Campbell和Viceira (2001)首次納入通貨膨脹風險並探討跨期投資議題，結論市場缺乏通貨膨脹連動投資標的時，投資人將減碼長期債持有比例。Brennan和Xia (2002)假設通貨膨脹率服從Ornstein-Uhlenbeck過程，結論投資人之避險需求隨持有債券到期日與投資期限改變。但以上結論未將通貨膨脹學習機制納入模型，因此，在第三部份提出依學習機制修正之投資策略可顯著增加財富效用，並分析在不同參數設定下，學習機制對於期末財富效用之影響。 / In this study, we study three essays of asset allocation problem for long term investors, which means that in this discourse we emphasis the importance of inflation risk. In the first topic, we derive the dynamic optimal investment strategy of the defined contribution pension schemes which include two mechanisms of partial floor protection and incentive fees and their benchmarks. We find investors should hold high proportion of stock index fund to hedge the inflation risk; moreover, the ratio of incentive fees to the setting of benchmark will change the optimal investment trend of underlying assets. In the second topic, we introduce the optimal investment portfolio with minimum guarantees and show that the fund manager should adjust the optimal weights of underlying assets with the ratio of the guarantee fund's value to the value of fund. Finally, this work focuses on how to precisely predict the dynamics of inflation rate. We apply learning method to adjust the prediction of inflation process and we use numerical analysis to study the effect of learning mechanism under different parameter setting.