[[alternative]]以臺灣為例

[[issue]]11

Topological analysis and visualization of micro structure of trabecular bone

published_or_final_versionComputer Science and Information SystemsMasterMaster of Philosoph

Using ZMET to Explore the Taiwan User's Adoption Behavior of Mobile Location-Based Services

In recent years location-based services (LBS) have played as an important role in the global mobile-commerce (M-Commerce) market and the service providers have also detected business opportunities and so are exploring more and more wireless applications to attract and retain their customers. In addition, most private firms in Taiwan now operate a five-day workweek. In such case, it allows Taiwanese people to travel individually in their leisure time. An LBS application can provide location-based information to users for visiting and staying at a new location. The information should be useful and valuable for users. Nevertheless, the adoption rates of the LBS are still far from satisfactory in Taiwan according to statistics conducted by ACI-FIND. Thus, this research attempts to dig out what factors will affect Taiwan's user's willingness to adopt the LBS by employing the ZMET (Zaltman Metaphor Elicitation Technique) method and questionnaire survey, combining both qualitative and quantitative research methods. The result can fill the gap in the case of the low LBS adoption rate, which prior researches have not discussed much. And these findings will become crucial references for the service providers when they attempt to enhance the quality and practicability of LBS to satisfy users' requirements.CHAPTER1 INTRODUCTION 1 1.1 MOTIVATION 1 1.2 OBJECTIVE 2 1.3 SCOPES AND CONFINES 3 1.4 RESEARCH STRUCTURE 4 CHAPTER2 LITERATURE REVIEW 6 2.1 MOBILE COMMERCE (M-COMMERCE) 6 2.1.1 Current Applications Status of M-Commerce in Taiwan 7 2.2 LOCATION-BASED SERVICE (LBS) 9 2.2.1 Current Development Status of LBS Worldwide 12 2.2.2 Current Development Status of LBS in Taiwan 13 2.3 ZALTMAN METAPHOR ELICITATION TECHNIQUE (ZMET) 16 2.4 TECHNOLOGY ACCEPTANCE MODEL (TAM) 19 2.5 SECURITY AND PRIVACY 21 2.6 COST 22 CHAPTER3 THESIS METHODOLOGY 24 3.1 ORIGINAL MODEL DEVELOPMENT 24 3.2 QUALITATIVE RESEARCH METHOD—ZMET APPROACH 26 3.2.1 Processes of ZMET Application 27 3.3 RESEARCH MODEL 43 3.4 HYPOTHESES 44 3.5 QUESTIONNAIRE DESIGN 46 3.6 DATE ANALYSIS 50 CHAPTER4 DATA ANALYSIS 53 4.1 DATA COLLECTION 53 4.2 DEMOGRAPHIC ANALYSIS 53 4.3 VALIDITY ANALYSIS 58 4.4 RELIABILITY ANALYSIS 60 4.5 CORRELATION ANALYSIS 60 4.6 REGRESSION ANALYSIS 63 4.7 DISCUSSION 69 CHAPTER 5 CONCLUSION AND SUGGESTIONS 76 5.1 CONCLUSION 76 5.2 CONTRIBUTION 78 5.3 SUGGESTIONS FOR FUTURE RESEARCH 79 5.4 LIMITATION 80 REFERENCE 8

[[alternative]]An Investigation of Personality Traits on the Stock Investors' Performance and Escalation of Commitment

[[abstract]]　　隨著媒體科技日新月異的快速發展，資訊取得相對方便的現代，投資人可以從很多媒體報章雜誌中獲取資訊，然而每個人的心理特質都是獨一無二的，因此心理特質的影響是值得研究的。過去不少研究針對處分效果、續擴承諾、心理因素等因素進行投資人之投資行為的探討，而本研究將從人格特質這部份來進行研究，探討人格特質的不同是否產生不同程度的續擴承諾之行為，並且探討人格特質對於投資績效之影響。　　本研究以台灣股票投資人為研究對象，共計發出450份問卷，有效樣本數296份。根據本研究實證分析結果提出以下結論：一、五大人格特質量表分析得知，受測的股票投資人在友善性人格平均數為最高，神經質人格平均數最低。二、開放性人格與外向性人格對續擴承諾與投資績效均有正向關係；嚴謹性人格對投資績效有正向關係；神經質人格對投資績效有負向關係。本研究結果可提供投資人對於自身人格特質之不同，而影響投資行為與投資績效，作為後續投資參考之依據。[[abstract]]　　With the rapid development of media technology is changing rapidly, information is relatively easy to obtain modern and investors can get information from newspapers and magazines in many media. Each person is unique psychological characteristics, thus affecting psychological traits are worth studying. Many previous studies focused on the disposition effect, escalation of commitment and psychological factors of investors but this study examines whether the different personality traits affecting escalation of commitment and investment performance of investors.　　The questionnaire is mainly aimed at investors of Taiwan. The 450 questionnaires were delivered and 296 are valid samples. The following conclusions based on empirical results of this study:1. Norman’s Big Five Scale analysis showed that friendly personality is the highest one in investors and neuroticism. Personality is the lowest one.2. Openness and extraversion personality have positive effects on escalation of commitment and investment performance. The effects of rigorous personality on investment performance are positive, but effects of neuroticism personality on investment performance are negative.　　The results can provide investors' decision-making on managing their investment with different types of personality, which will also affect investment behavior and investment performance

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies