Empirical study on Chinese tourists’ perceived trust and intention to use biometric technology

This paper presents a theoretical model based on the Technology Acceptance Model combined with a perceived trust model. SPSS 23 and Amos 22 were used to analyze Chinese tourists’ responses regarding use of biometric technology in hotels and to assess whether their perception of trust – measured through five potential factors – affected their intention to use it. Chinese tourists traveling in Macau were recruited, and three types of biological identification technology were discussed. A total of 600 questionnaires were sent out, and 583 effective questionnaires were recovered. The results that in addition to perceived ease of use, other factors affected visitors’ perceptions of trust. The degrees of effectiveness, however, differed between the three biological identification technologies. Fingerprint technology was revealed to be the most trusted and accepted biometric technology.     

Vertical Integration,Firms’ Entry,Exit, Strategic Shifts,Age, and The Productivity Growth in Korea's Core Growth‐Leading Industries

This study attempts to measure the impact of firms’ entry, exit, strategic shifts, and age on the productivity growth of Korea's three core growth‐leading industries and their vertical integration with capital share (VI) firms and non‐VI (NVI) firms in view of the 2008 global financial crisis and the institutional push by the Korean Government. A stochastic frontier production model was applied to firm‐level panel data from 2006 to 2011 for Korea's automobile, electronics and general machinery industries. The results show that exogenous shocks to the market triggered large‐scale resource reallocations from firms with declining productivity to firms with less declining or rising productivity, and market share reallocation between VI firms and NVI firms. The Korean Government's institutional push led the productivity growth of NVI firms to reach their highest levels in 2010. In a VI structure, a structure comprising VI firms only, the agency problem dominated the synergies of secure supply chains and saving on transaction costs, while NVI firms endeavoured to raise their productivity to step into a VI structure to secure stable supply chains, only to find their R&D initiatives stagnated once they took on the VI structure. Therefore, efficient resource reallocation is hindered by the agency problem within the bounds of vertically integrated industrial structures.     

Pricing temperature derivatives with a filtered historical simulation approach

In this paper, we propose pricing temperature derivatives using a filtered historical simulation (FHS) approach that amalgamates model-based treatment of volatility and empirical innovation density. The FHS approach implicitly captures the risk premium with the entire risk-neutral model (except the innovation distribution), thereby providing significantly more flexibility than existing methods that use only one designated parameter to capture the risk premium. Additionally, instead of relying on the fitted innovation distribution, the FHS approach uses empirical innovations to capture excess skewness, excess kurtosis, and other non-standard features in the temperature data, all of which are important for the correct pricing of temperature derivatives. We apply the FHS approach to pricing derivatives written on the temperature of Chicago, and demonstrate that this approach yields better in-sample and out-of-sample pricing performance than the constant market price of risk method and the consumption-based method.     

Methods for determining areas for improvement based on the design of customer surveys

Many firms conduct satisfaction surveys of their customers, with a view to using the analyzed results to identify areas of potential improvement. The weakness in this approach is that attributes with a lower satisfaction level might not be in need of improvement. They might merely be of little concern to customers. The present research develops several methods to identify areas that do require improvement. These methods include the importance–satisfaction (I–S) model, the improvement index, the quality-improvement index, the SERVQUAL survey, Kano's model, the extent of satisfaction, and the extent of dissatisfaction. An integrated model of service-quality measurement is used to cover all the customer surveys required for an international certification service company. In the case study, valuable information of various kinds is obtained from an analysis of the customer surveys. On the basis of this information, the firm can make appropriate decisions on areas for improvement, which are significantly different from those identified on the basis of a simple satisfaction survey.     

中国利率市场化与若干经济问题

利率市场化作为中国一项重要的金融制度安排,其改革成功与否,关键取决于社会经济的承受能力。在肯定利率市场化的优化金融资源配置功能的同时,更要充分估计到利率市场化对社会需求扩大、国有企业生存和商业银行经营等方面所形成的压力。因此,中国在推进利率市场化的进程中,应密切结合经济实际,做好相关性改革与制度安排,以降低利率市场化改革成本,促进利率市场化目标的顺利实现。     

The relationship between innovation network and innovation capability: a social network perspective

The key for acquiring innovation capability is knowledge transmission which is primarily based on the closer and tighter connections among businesses and other actors within innovation networks. Previous literature of patent analysis based on social network only explains the most influential corporations within an industry through social network indicators, but did not investigate the impact of these indicators on a firm’s innovation capability. This study uses social network perspective ‘centrality, cohesion and density’ to investigate the relationship between innovation network and innovation capability in the global semiconductor industry. Two purposes of this study are: (1) to investigate the innovation network relationship within the semiconductor industry at different periods and its evolution and (2) to study whether network position occupied by a firm in innovation network influences innovation capability. The empirical results show that firms with higher centrality and higher density have stronger innovation capability, but the weaker innovation capability with closer connection of sub-cluster (cohesion).     

The Impact of Dividend Reinvestment Plans on Firm Payout Choices—Evidence from Real Estate Investment Trusts

This study investigates whether firm dividend payout choices are influenced by the presence of a Dividend Reinvestment Plan (DRIP). Given that DRIPs help retain capital, we show that dividend‐paying firms with a DRIP will tend to pay a high dividend and maintain a stable payout policy. Using a multinomial logistic model, we show that in comparison to REITs without DRIPs, REITs with DRIPs have a higher payout ratio and are less likely to: (1) pay regular dividends with extra dividends and share repurchases, (2) distribute extra dividends, repurchase shares, yet omit regular dividends and (3) omit all payouts. In addition, we find that REITs with a capital‐retaining DRIP invest more aggressively and such increased investment activities are undertaken without raising the reliance on external financing.     

我国区域科技投入与经济增长相关性及实证研究

本文通过对区域科技投入的构成要素分析,确定了科技投入的评价指标,再通过构建科技投入与经济增长相关性评价方法,测算了1991-2005年吉林省科技投入要素与经济增长的关联系数和关联度。通过对吉林省科技投入要素与经济增长的关联度分析发现,与科技人力投入、科技财力投入要素相比,科技设备投入与经济增长更为密切。     

Understanding tourist preferences for travel packages: a conjoint analysis approach

Tourism is one of the most economically vital sectors in India, contributing around 122 billion USD to the Gross Domestic Product in the recent past. Tour packages are extensively used by travel agencies to attract potential clients and expand their customer base. Hence, the design of tour packages which cater to a wide range of tourists poses to be a challenging problem for travel agencies. The purpose of this study is to identify the important factors while deciding a particular travel package, as recognised by Indian tourists. A comprehensive survey was conducted to collect the data and a conjoint analysis method was used to analyse consumer preferences and marginal willingness to pay depending on their socio-economic backgrounds. The present findings and implications will help tour operators to understand their customers better and thereby design more appealing travel packages.