海外高层次人才创新创业政策研究:政策工具与创新创业过程视角

在全球人才流动加速的知识经济时代，中央和地方政府相继颁布了一系列鼓励海外高层次人才创新创业的政策。通过构建政策工具—创新创业过程二维框架，以浙江省“九五”至“十三五”期间颁布的海外人才政策为研究对象，采用内容分析法和扎根理论编码进行统计分析。研究发现：浙江省海外高层次人才政策数量增长迅速，从“十五”至“十三五”开局之年政策数量呈明显上升趋势;政策发文主体较多，但协调性较弱，浙江省财政厅是重要联合发文主体;从政策工具维度而言，供给类和环境类政策过溢、需求类政策偏少;创新创业准备阶段缺乏环境型政策，起步阶段缺乏供给型政策，发展阶段缺乏需求型政策。最后，提出优化海外高层次人才政策的对策建议。     

Configurations of business strategy and marketing channels for e-commerce and traditional retail formats: A Qualitative Comparison Analysis (QCA) in sporting goods retailing

This article applies a configurational approach to study the fit between retail format, business strategy, and multi-channel setup. Its empirical material consists of five case studies, and a data set of 74 sporting goods retailers in Sweden. Our results show that a retailer can create strategic advantages when its multi-channel setup fits with its business strategy, and that retail format is important for explaining differences in growth and profit, the former being assigned to e-commerce and the latter to physical stores. Moreover, the study reveals that to some extent online channels also have positive performance implications for physical store retailers.     

Cost-benefit analysis of airport security: Are airports too safe?

This paper assesses the risks and cost-effectiveness of measures designed to further protect airport terminals and associated facilities such as car parks from terrorist attack in the U.S., Europe, and the Asia-Pacific area. The analysis considers threat likelihood, the cost of security measures, hazard likelihood, risk reduction and expected losses to compare the costs and benefits of security measures to decide the optimal security measures to airports. Monte-Carlo simulation methods were used to propagate hazard likelihood, risk reduction and loss uncertainties in the calculation of net benefits that also allows probability of cost-effectiveness to be calculated. It is found that attack probabilities had to be much higher than currently observed to justify additional protective measures. Overall, then, it is questionable whether special efforts to further protect airports are sensible expenditures. Indeed, some relaxation of the measures already in place may well be justified.     

Health and cosmetics: Investigating consumers’ values for buying organic personal care products

In investigating consumers’ intentions to re-purchase organic personal care products (PCP), this study extends the theory of planned behaviour by including perceived value dimensions as the antecedents of attitude in the model. The findings revealed that most of the hypothesised relationships linking the consumer perceived value constructs (namely, health, safety, hedonic and environmental) with attitude towards the rebuying of organic PCP, were supported. Also, better product knowledge about organic PCP would lead to more positive attitudes towards re-purchasing the product. In contrast, social value was not important in predicting attitude. Similarly, the influence of subjective norm on rebuying intention was not supported. In terms of ranking of importance with regards to prediction of re-purchasing intention, attitude was the most important predictor followed by perceived behavioural control, product knowledge, hedonic value, environmental value and safety value.     

Impact of customers' assessment of website attributes on e-relationship in the securities brokerage industry: A multichannel perspective

The paper focuses on the comparison between pure e-retailers and multichannel retailers' customers and how they differ in their evaluations of functional and relational attributes of the website, as well as how these attributes impact online relationships. An online survey among online securities investors was conducted. Subjects were self-selected from blogs and forums dedicated to personal finance. A total of 326 questionnaires formed the final sample of this study. By using a series of univariate analyses of variance, structural equation modeling, and multi-group analysis, this research empirically demonstrates that the e-service quality evaluation and determinants of online relationship are different in multichannel contexts versus pure online ones. Results show that customers of multichannel retailers are not more loyal than those of pure online retailers. However, multichannel retailers exceed pure online retailers at achieving a higher level of online trust and a higher assessment of website features. The paper concludes with managerial implications that may be useful in multichannel retailing.     

DETERMINANTS OF SOVEREIGN BONDS RATINGS: A ROBUSTNESS ANALYSIS

Several studies have attempted to deduce the determinants of sovereign bond ratings. In this study, Extreme Bounds Analysis is applied to approximately 30 factors proposed by the literature in order to assess their robustness with a focus on the relative importance that economic and political variables receive in the shaping of the ratings. We find that policies that constrain the public sector are among the most robust. Variables such as rule of law, openness to economic flows, central bank independence, and market friendly policies are found to be more robustly correlated with the ratings than foreign reserves, fiscal deficit, sovereign bond yields, and economic growth.     

Analysis of tourism information sources using a Mokken Scale perspective

This study contributes to the analysis of information sources as a determinant of the travel decision-making process. It focuses on the use of Mokken Scale Analysis (MSA) as a new methodological approach to detect unidimensional hierarchical scale in the analysis of information sources. The paper shows how MSA can be applied in the tourism field. Findings reveal two different scales (active and passive information search scales) for classifying information sources in tourism. Variations in the scales are revealed, taking socio-demographic and travel behavioural variables into consideration. The conclusions clearly explain the implications for tourism marketers and make recommendations for future research.     

有效提升粮油检测数据的准确度

本文主要探讨粮油检测数据的科学性和准确性,包括粮油样品的扦取、检测误差的控制、检测质量体系的运行、检测数据处理的原则和检测报告的编制等。     

An estimation of returns to scale of airport airsides under multiple optimal solutions in DEA

The returns to scale (RTS) nature of 37 Chinese airport airsides are investigated in this paper. Multiple optimal solutions in DEA (Data Envelopment Analysis) models may lead to error RTS estimation. To address this problem, we use the (Zhu and Shen, 1995) RTS method. The empirical study shows that all those airsides with two runways operate under decreasing RTS and those airsides with only one runway either operate in the area of increasing RTS or in the area of constant RTS.     

The effects of tourism on HSR: Spanish empirical evidence derived from a multi-criteria corridor selection methodology

The exorbitant cost of new High-Speed Rail (HSR) lines requires a selection methodology to define which HSR corridors within a network should be built first, and the most suitable evaluation tool appears to be the multi-criteria approach. In any corridor-ranking methodology, and especially in countries with high tourism attractiveness, tourism impacts on HSR should be considered as a variable.In addition to economic geography and destination choice models, the current literature on tourism demand is dominated by econometric models using a single-equation time-series based approach. However little research has been done so far on methodologies to rank HSR corridors taking into account the tourism variable. In 2014, a ranking methodology developed by Todorovich and Hagler was validated using the current Spanish HSR network. Twelve variables were used to create an index to assign scores to the city pairs, but tourism was not included as a variable. The findings showed the consistency of the model for ranking pairs mainly in the top O–D relations; however the tool failed to discriminate clearly between secondary groups of corridors.The aim of this paper is to assess empirically the positive effect of tourism on HSR and to enhance the abovementioned ranking tool with a tourism database. The new methodology is tested by application to 1176 city pairs in Spain, and the results clearly show that the implementation of a tourism variable helps discriminate between secondary groups of corridors and offers a more effective approach for determining the implications of tourism on HSR.