消费者在进口跨境电商平台间转移行为意向研究

本文整合人口学推拉理论和技术接受模型,从推送力、拉动力、锚定力三个方面构建理论模型和提出假设,收集数据验证消费者在进口跨境 电商平台间的转移行为影响因素。研究结果表明,经济性因素、平台服务质量是影响消费者向新平台转移的推送力,感知有用性和感知易用性是新平台 吸引消费者转移的拉动力,转换成本和消费者习惯是阻碍消费者转移的锚定力。对此,企业可通过提高用户体验、增加转移成本防止消费者流失。     

Critical factors associated with relationship conflicts and group atmosphere among Taiwanese adolescents

This paper investigates relationship conflict amongst Taiwanese adolescents. The data was taken on Taiwanese adolescents aged 15–17 who attended 16 high schools which are located in north, middle, south, and the east of Taiwan. They were invited to participate in the study during the 2010 school year. This paper explores the patterns among relationship conflict including its impact, the social dimensions, the time aspects, the psychological implications, the physical dimensions, and the performance and overall risks involved in group atmospheres. The ways relationship conflict handling styles correlate with the group atmosphere were also explored. Each one of the risk variables’ correlations and relationship conflict were explored. As part of this study upon correlating each one of the risk variables and relationship conflict, the researchers studied the correlations between the risk variables and the group atmosphere.     

应用ANSYS建立再生混凝土随机骨料模型的方法研究

通过对再生混凝土粗骨料成份的分析,初步提出将再生粗骨料大致分为以附着砂浆石子为主要成分并含有少量砂浆块和砖块杂质,并确定某批次再生粗骨料中各类骨料的百分含量。应用ANSYS的APDL参数化编程,结合蒙特卡罗方法和富勒级配理论,从细观层次上生成再生混凝土各类骨料的二维圆形与三维球形随机骨料模型,并赋予各类骨料的材料属性。然后根据选定的单元类型进行有限元网格的划分,通过判断各单元与骨料形心的位置关系来识别砂浆基质与骨料之间的界面单元,并赋予它相应的材料属性。从而建立起再生混凝土的数值模拟试件,为今后在ANSYS中直接对其进行加载求解,以此来模拟各种力学性能试验提供了必要的基础。     

浅论两汉时期河湟羌人的种姓家支制度

两汉时期的羌乱给汉王朝带来了巨大的灾祸,是促使东汉灭亡的因素之一。除了共同的政治经济利益使河湟各羌落凝聚起来反对汉王朝对羌民的歧视和苛政外,其本身存在已久的种姓家支制度亦使河湟羌落间始终有种潜在的联系,也正是这种制度使得徙入塞内上百年的羌人仍与塞外的羌落间有着相同的认知,促进羌落间的聚合。因此种姓家支制度是种潜在的凝聚机制。汉王朝亦认识到羌人家支制度对其统治产生的威胁,也有意识的予以破坏。     

证明函数零点问题的研究

证明函数有且只有一个零点,通过构造方程,转化成方程有且仅有一个实根的问题,然后利用闭区间上连续函数的性质以及微分中值定理或函数单调性即可证明。     

Revisiting the relationship between suicide and unemployment: Evidence from linear and nonlinear cointegration

This study employs the linear and nonlinear ARDL cointegration methodologies to examine the potential symmetric and asymmetric responses of suicide rates to unemployment rates in the US from 1928 to 2013. Our results suggest that suicide rates are pro-cyclical with respect to the business cycle (measured by changes in the unemployment rate) after extensively controlling for divorce and fertility rates. Unemployment has symmetric long-run effects on the age-adjusted suicide rate and four age-specific (from ages 25–34 to 55–64) suicide rates, while the effect of an economic expansion on suicide rates for those aged over 45 is greater than the effect of an economic recession. These findings imply that the effect of an economic expansion on the decrease of the suicide rate is higher than the effect of an economic recession on the increase of the suicide rate for individuals aged over 45. Therefore, intervention designed to reduce suicidal behaviors should emphasize periods of economic recession more than periods of economic expansion for those of middle age and beyond.     

Government debt and fiscal execution efficiency

Governments have used deficit policies in recent years, yet many still face fiscal debt problems. Thus, this research uses Range Directional Measure Dynamic Directional Distance Function model with negative data to explore the financial efficiency of local governments in Taiwan from 2011 to 2018. This article has three major contributions: (1) The research uses RDM Dynamic DDF model with negative data to solve the problem of negative values on input and output data and uses dynamic models to make up for the deficiencies of past research. (2) Due to the differences in regions, local governments have different fiscal budgets. Therefore, this article uses the Wilcoxon Test to explore the efficiency differences of local governments in different regions. (3) This article analyzes the impact of central subsidies and government deficits (debts) of local governments on fiscal efficiency, and discusses the efficiency of government fiscal execution. The results are as follows. (1) Seven counties and cities with the best efficiency, and seven local governments with poor efficiency. (2) The fiscal performances of outlying islands and eastern local governments are better than those of western local governments. (3) Kaohsiung City has the highest accumulated debt and Tainan City exhibits poor financial performance.     

A fuzzy AHP approach based on the concept of possibility extent

The main purpose of this paper is to develop a fuzzy AHP method for tackling the uncertainty and imprecision existing in multi-criteria decision process. The proposed method uses fuzzy pair-wise comparison judgments in place of exact numerical values of the comparison ratios. The geometric mean technique is used to integrate all decision-makers’ opinions and construct the fuzzy positive reciprocal matrices. The algebraic operations of triangular fuzzy numbers are utilized to calculate the fuzzy suitability indices of all alternatives. The extent analysis method is used to compute the degree of possibility of priority among fuzzy suitability indices. Besides, two principles are presented to solve the multi-criteria decision problem in a fuzzy decision environment. Principle I provides a partial preorder, and Principle II gives a total preorder on the set of the possible alternatives. Finally, a numerical example of selecting the company with optimal performance in performing customer relationship management is used to demonstrate the decision process of proposed method.     

Evaluating the operational performance of knowledge-based industries: the perspective of intellectual capital

Performance evaluation is more than a quantitative concept but should also take industrial characteristics into account in order to form an accurate evaluation. In the past, evaluations of the operational performance of knowledge-based industries have missed out a significant factor, which is intellectual capital (IC). By adopting data envelopment analysis (DEA), a multiple-objective decision making method, this study aims to construct an efficiency evaluation model for the Taiwanese digital content industry based on the perspective of IC. The empirical results suggest that the scale of the digital content companies does play an important role in influencing the operating efficiency. The firms have a small amount of capital can still attain optimal efficiency, from the perspective of IC. In addition, human resource capital and customer capital are the most significant influential factors that deserve digital content firms’ attention. It is suggested that enterprises in the digital content industries should focus more on managing their IC. DEA can provide the semiconductor firms’ operations with insights into resource allocation and competitive advantage as well as help with strategic decision-making.     

Sequential estimate for linear regression models with uncertain number of effective variables

As a result of novel data collection technologies, it is now common to encounter data in which the number of explanatory variables collected is large, while the number of variables that actually contribute to the model remains small. Thus, a method that can identify those variables with impact on the model without inferring other noneffective ones will make analysis much more efficient. Many methods are proposed to resolve the model selection problems under such circumstances, however, it is still unknown how large a sample size is sufficient to identify those “effective” variables. In this paper, we apply sequential sampling method so that the effective variables can be identified efficiently, and the sampling is stopped as soon as the “effective” variables are identified and their corresponding regression coefficients are estimated with satisfactory accuracy, which is new to sequential estimation. Both fixed and adaptive designs are considered. The asymptotic properties of estimates of the number of effective variables and their coefficients are established, and the proposed sequential estimation procedure is shown to be asymptotically optimal. Simulation studies are conducted to illustrate the performance of the proposed estimation method, and a diabetes data set is used as an example.