The senior high school students’ learning behavioral model of STEM in PBL

The purpose of the study was to explore a learning behavioral model of project-based learning (PBL) for senior high school students in the context of STEM (science, technology, engineering, and mathematics). Using “audio speakers” as the project theme, a series of tasks were designed to be solved using STEM knowledge via an online platform and student group discussions. A total of 84 volunteer students from a senior high school and a vocational school in Pingtung, Taiwan, were divided into 21 groups. Text analysis and questionnaire survey were administered. Data sources were the participants’ information collected via the STEM online platform and the questionnaire survey regarding STEM in PBL. The findings of the study are as follows: (1) the learning behavioral model for STEM in PBL showed a positive influence on students’ behavior in the form of cognition and behavioral intentions. In addition, cognition and behavioral intentions were positively influenced by attitude. The overall model fit was positive and could effectively explain senior high school and vocational school students’ learning behavior as related to STEM in PBL; (2) according to the results of the analysis of STEM from the online platform, students displayed a positive attitude, attained integrated conceptual and procedural knowledge, and demonstrated active behavioral intentions through STEM in PBL. In addition, the students’ creative and organized project outcomes revealed the effects of their behavior.     

Measuring technical and allocative efficiencies for banks in the transition countries using the Fourier flexible cost function

The transition economies are known to have quite different market structures from the market economies. State-owned banks accounts for a major part of the financial sector in East European countries before the transition period. Since the input prices of the sector are frequently under the control of those governments, the misallocated resources may incur the loss of economic efficiency. This paper attempts to gauge the technical and allocative efficiency using unbalanced panel data of 340 banks from 14 transition countries under the framework of the Fourier flexible shadow cost function. Accommodating technical and allocative efficiencies simultaneously, as suggested by Atkinson and Cornwell (Int Econ Rev 35:231–243, 1994a) and Kumbhakar and Wang (J Econom 134:317–340, 2006a), avoids potential specification errors and leads to consistent parameter estimates. The average total cost savings resulting from greater technical and allocative efficiency are around 28.31 and 7.13%, respectively. Foreign-owned banks are found to be the most economically efficient. The enforcement of financial liberalization does gradually improve upon the sample banks’ technical efficiency. The allocative inefficiency arises from over capitalization and excess funds. Scale diseconomies appear to prevail in the sample states with a few exceptions.     

Foreign investors in Taiwan: Their roles and government perspectives

This article describes the financial liberalization process in Taiwan and evaluates the effects of foreign institutional investors on Taiwan's stock market. Gradual liberalization allowed Taiwan to reap the benefits while reducing the harmful impacts of foreign participation during the Asian financial crisis. Overall, the liberalization policies proved to be effective as the stock market has become more stable and efficient. Foreign institutional investors contribute significant growth to the Taiwan stock market, and will continue to play a sizeable role in its future development.     

Estimating the wetland rental fee: a case study involving a Taiwan wetland

Wetlands provide many functions that are both economic and recreational and are valuable in terms of their ecological diversity, while at the same time being nonmarket value products. The purpose of this study is to estimate the optimal wetland rental through estimations of both the demand and supply functions in relation to wetland. The wetland supply function is directly estimated based on the data provided by the owners of the wetland, while the estimation of the wetland input demand function involves using the bootstrapping and contingent visitation approaches. Such estimation approaches could also be applied to other nonmarket value products that give rise to environmental externalities. The estimation of rental fee could provide a long-term leasing contract that gives the landlord with a particular rent to lease their lands to support a wetland eco-tourism park to maintain wetland for substantial management. Several environmental management policy implications are also addressed.     

Exploring location‐specific assets and exploiting firm‐specific advantages: an integrative perspective on foreign ownership decisions

Exploiting existing assets and exploring new assets are two major and often concurrent forces driving firms to invest abroad. Moving beyond prior attention to their separate effects on foreign ownership decisions, this study examines their integrative impact. I develop hypotheses aligning a set of firm‐specific advantages with asset‐seeking motives, and test these relationships on a sample of Taiwanese overseas investments. I find that wholly‐owned subsidiaries are preferred to joint ventures when multinationals are able to tap into host innovatory dynamism by employing extant technological capabilities and to access local natural resources by leveraging corporate scales. Nonetheless, multinationals face difficulties in deploying marketing knowledge in different contexts and thus are more likely to choose joint ventures for an aggressive foreign market entry. Copyright © 2007 ASAC. Published by John Wiley & Sons, Ltd.     

Combining value averaging and Bollinger Band for an ETF trading strategy

The decision-making of investors is highly influenced by their feelings. According to behavioural finance, investor greed and fear would form irrational behaviour and affect their portfolio allocation. Although well-known mechanical investment strategy of dollar cost averaging (DCA) and value averaging (VA) could eliminate the problems of when to purchase, there are still some disadvantages to consider. For example, using a DCA strategy may be able to decrease volatility in portfolio so as to not effect investment decision, but it gives no rule for selling and may increase the opportunity cost of time if investors start deducted at peak prices. On the other hand, VA gives more aggressive sell signals to control the value of the portfolio to the level desired, but the investor may not have enough money purchase of a large number of shares in sharp decline period. Therefore, we use VA as main strategy and Bollinger Band as assist indicator for check for volatility for entry or exit. Through analysis and simulation, the new strategy we design does improve the performance during both bull and bear market periods.     

A feasibility study of stateful automaton packet inspection for streaming application detection systems

The rapid development of the internet has brought huge benefits and social impacts; however, internet security has also become a great problem for users, since traditional approaches to packet classification cannot achieve satisfactory detection performance due to their low accuracy and efficiency. In this paper, a new stateful packet inspection method is introduced, which can be embedded in the network gateway and used by a streaming application detection system. This new detection method leverages the inexact automaton approach, using part of the header field and part of the application layer data of a packet. Based on this approach, an advanced detection system is proposed for streaming applications. The workflow of the system involves two stages: the training stage and the detection stage. In the training stage, the system initially captures characteristic patterns from a set of application packet flows. After this training is completed, the detection stage allows the user to detect the target application by capturing new application flows. This new detection approach is also evaluated using experimental analysis; the results of this analysis show that this new approach not only simplifies the management of the state detection system, but also improves the accuracy of data flow detection, making it feasible for real-world network applications.     

Combining conjoint analysis,scenario analysis,the Delphi method,and the innovation diffusion model to analyze the development of innovative products in Taiwan's TV market

In science and technology industries, innovative products are launched rapidly, making the lifecycle of new products ever shorter. Thus, it is important that companies understand consumers' needs and consider expert opinion when analyzing the development of a new technology. However, no studies have combined these two perspectives with regard to the development of a new product. Therefore, this research combined conjoint analysis, scenario analysis, and the Delphi method with the innovative diffusion model to analyze the development of Taiwan's TV market over the next 10 years. The results show that the outlook for demand for light-emitting diode (LED) TVs in Taiwan is very optimistic; sales of LED TVs will surpass sales of liquid crystal display TVs in 2015 in the optimistic scenario and in 2017 in the most likely scenario.     

A New Framework Integrating Environmental Effects into Technology Evaluation

This study aims to propose a framework considering both economic issues and environmental effects in technology evaluation in order to provide firms’ decision makers a useful reference in adopting technologies that will enable them to fulfill corporate social responsibilities and get competitive advantages at the same time. Recently, the demands for technology evaluation have increased with the flourishing development of technology licensing, technology transaction or joint venture on the one hand and with the pressing needs of environmental protection for human beings’ sustainable development on the other hand. Under such conditions, it thus goes without saying that firms’ decision makers are propelled to take into account both economic benefits and environmental effects in evaluating technologies by choosing low or nonpolluting technologies for manufacturing products. Although technology evaluation is not a new and emerging subject currently besetting scholars in the field of management, previous research on this topic has unwittingly left behind the pressing issue of environmental effects. Based on this observation, this study purports to develop a new framework for technology evaluation by taking both economic benefits and environmental perspectives into consideration. In it, we seek to demonstrate that our proposed framework will not only be a workable model but also can serve as a useful point of reference for technology appraisers and firms’ decision makers.     

Increasing HR's strategic participation: The effect of HR service quality and contribution expectations

Strategic participation is important for HR professionals who wish to have increased influence in their organizations. While a number of previous studies have suggested a link between strategic human resource management and firm performance, few have explored the specific factors enabling HR strategic participation. This study examines the impact of HR service quality and expectations of HR contributions on HR strategic participation. A total of 244 survey responses were received from 42 companies in Taiwan. All hypotheses were supported, thus signifying significant relationships between HR service quality, expectations of HR contributions, and HR strategic participation. The study results also indicate that HR professionals are able to proactively increase the value of HR in organizations by enhancing HR service quality and addressing potential internal customers' needs accordingly. © 2012 Wiley Periodicals, Inc.