研发市场界定的适用困境及应对策略

研发市场是经营者在特定产品和技术竞争中形成的市场范围。由于研发活动的不确定性，反垄断执法机关在界定研发市场时难以准确厘定市场边界，更深层次的原因在于维持竞争与激励研发的关系尚不明晰。研发竞争中的垄断行为难以通过相关市场界定的方式判断其违法性，需要结合具体案情和市场条件，动态分析涉案行为是否损害产品或技术研发竞争。     

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。     

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.     

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.     

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.     

国际资金循环测度的统计方法及应用

研究目标：本文研究如何测量国际资金循环（Global Flow of Funds，GFF），试图整合国际金融相关数据源，创建GFF统计矩阵。研究方法：讨论了GFF的基本概念，确定了国际资金循环的统计范围。按照2008SNA所提倡的From Whom to Whom 的统计基准，建立了GFF的统计框架，据此框架整合了国际金融组织之间的数据系统关系和现有的国际金融统计数据源。研究发现：利用相关统计创建了GFF矩阵模型表，试编了一个包含中国在内的由11个国家所构成的“国家×国家”的GFF统计矩阵表。研究创新：创建了GFF矩阵表，展开了以中国为主要观测对象的国际跨境资本比较分析。研究价值：建立了观测GFF统计，开辟了新的分析视野，客观揭示了中国在GFF中的状况及现存的主要问题。     

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.     

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.     

An assessment of organic apparel,environmental beliefs and consumer preferences via fashion innovativeness

The topic of organic apparel has been widely discussed among academics and practitioners in recent years. While numerous studies have been done on the topic, few studies to date have assessed the topic of fashion innovativeness and its influence on attitudes towards organic apparel. In addition, an evaluation of consumer preferences for organic apparel from a conjoint analysis perspective has not been implemented. Thus, the purpose of the present study was to identify which organic apparel attributes are most important to high fashion innovativeness and low fashion innovativeness groups. Furthermore, the variables of environmental beliefs and attitudes towards purchasing organic apparel were assessed. An online survey was developed to measure the variables, including a full profile discrete choice design used to measure attribute preferences for t‐shirts. The data were analyzed using a multinomial logit model and desirability indices. The results indicated that the low fashion innovativeness group preferred organic and eco‐friendly apparel more than the high fashion innovativeness group. In addition, when examining high fashion innovativeness and low fashion innovativeness groups overall, the preferred t‐shirt was Dri‐Fit, Cotton Jersey Knit, Made In America, Eco‐Friendly and $25.00. However, when examining high fashion innovativeness and low fashion innovativeness groups separately for the preferred t‐shirt, differences appeared in Sustainable. The results suggest that high fashion innovativeness and low fashion innovativeness groups may desire different organic apparel attributes when considering organic apparel.     

'More is not necessarily better': the relationship between the quantity and quality of training efforts

International comparisons indicate that, on average, Belgian companies spend less on training than their French, German and Dutch counterparts. Encouraging companies to commit to training has consequently been an important policy goal over the last few years. One notable aspect of the policy to encourage training efforts by companies is that the effort is always represented in terms of the resources invested (input), not in terms of the learning achieved (output) or the quality of training programmes (throughput). Government policy is aimed at increasing the level of investment in company training. One of the questions we wish to investigate is whether this input-oriented approach to the training issue is actually effective. Whether companies will succeed in raising human capital to ever-increasing levels may depend not only (and maybe not even chiefly) on the extent of financial investment in training. The investment level does not necessarily determine the quality of the training processes developed by companies. Therefore, this paper focuses on the following research questions: (1) to what extent do companies monitor the systematic development of sufficiently effective training processes? In other words, is qualitative under-investment an issue, alongside financial under-investment? (2) Is the level of financial investment in company training correlated to the quality of training processes? The empirical data confirm that a kind of 'qualitative' under-investment can be reported and that the relationship between the level of investment in training and the quality of the training programmes is weak.