高职类国际贸易专业法律教学改革之探讨——兼论经济法和国际商法课程的整合

高职类国际贸易专业的法学教育主要分两块,即经济法教学和国际商法教学,分别对应经济法课程和国际商法课程。很多从教人员认为经济法课程和国际商法课程内容存在重合,建议取消经济法,只保留国际商法课程。对此,文章认为,经济法作为基础课和国际商法作为专业课,都有存在之必要;但针对二者所含内容的部分交叉,所以必须进行教学改革。改革思路是首先应重新整合两门课程的教学内容;其次应切实加强实践教学环节,特别是经济法教学过程中的实践教学。另外,鉴于劳动法的现实性,劳动法律制度的教学应从经济法课程中剥离出来,集中于学生毕业实习前进行专项培训,方能更好的达到实用之目的。     

Using Lexical Semantic Analysis to Derive Online Brand Positions: An Application to Retail Marketing Research

This paper provides an innovative approach to brand tracking in the context of online retail shopping by deriving meaning from the vast amount of information stored in online search engine databases. The method draws upon research in lexical text analysis and computational linguistics to gain insights into the structural schema of online brand positions. The paper proposes a simple-to-use method that managers can utilize to assess their brand's positioning relative to that of their competitors’ in the online environment.     

The extended website stage model: a study of Canadian winery websites

Rao, Metts, and Mora Monge (2003) proposed a stage model to reflect the progression small businesses follow in their use of Internet technology. We extend their work in two ways. We introduce marketing integration into this technology-focused model and further differentiate the transactions stage of the framework. We then use the model to examine differences in the degree of sophistication of websites used by businesses in the Canadian winery sector. Data collection entailed a content analysis on a census of English language Canadian winery websites (N = 206). A supplementary survey was used to distinguish among those sites that were making use of relatively advanced technologies. A multinomial logit analysis was applied to examine a series of research questions based upon our integrated model. Implications of the findings for scholarship and practice are discussed. Copyright © 2009 ASAC. Published by John Wiley & Sons, Ltd.     

高炉铁水含硅量组合预报模型

利用模糊贝叶斯网络模型和小波时间序列模型进行高炉铁水含硅量预报,预测命中率(预测值与实际值误差±0.1)分别为84%和76%,基本反映高炉生产实际.对比分析两个模型的预报结果以及高炉内部反应机理的特点,结合两个模型优势,提出组合预报模型,把预报命中率提高到92%,具有生产应用价值.     

浅析科技英语简单句中的名词化结构

科技英语的特点不仅表现在科技内容上，而且还表现在其特有的语言体系上。大量使用名词化结构是科技英语的显著特点之一。它能使语篇简洁、正式、客观、权威。文章分析了名词化结构在科技英语简单句中语义的逻辑内涵，以及英译汉时的翻译技巧。     

二语习得研究:回顾与展望

系统探讨第二语言习得本质及习得过程的第二语言习得研究作为一门独立的学科发展到现在已有40多年的历史,其间研究领域不断拓宽,研究方法和手段日益多样,各种理论/模式层出不穷。     

债券评级包装与“担保正溢价”之谜

信用评级通常被认为是企业债券违约风险的重要预警指标,信用评级的准确性和前瞻性对于促进债券市场健康发展极为重要。本文使用中国非金融上市企业债券违约数据,探究企业信用评级对债券违约率的预警有效性,深入考察信用评级虚高、失真现象。研究发现：企业信用评级对债券违约的预警作用并不显著;当信用评级由高评级区间向低评级区间变化时预警作用越来越弱,在低信用评级区间信用评级上升反而显著提高违约概率。进一步探究发现,信用评级无法很好地反映企业基本面信息和宏观经济信息,造成评级信息的失真。     

Explaining Nigeria’s Economic Growth: Balance of Payments Constrained Growth Approach With External and Internal Imbalances

This study employs a system estimator to examine the validity of balance of payment constrained growth model in the case of Nigeria. We modified a version of Thirlwall’s model developed by Soukiazis et al. (2014) to incorporate the role of foreign contents in growth process. The new version of the model improves significantly explaining the growth in Nigeria. The outcome of this study shows that imported intermediate and capital goods significantly contribute to manufacturing export and domestic investment growth. However, high reliance on the imports of intermediate goods constrains economic growth. World real income exerts significant effect on aggregate exports, similar arguments could not be established when the manufacturing export sector is considered in isolation. Our results reveal that economic growth in Nigeria is constrained by internal and external imbalances. The study recommends among others increasing the manufactured export share, efficient use of oil rents as well as containing budget deficit within acceptable threshold to position the economy on a viable growth path.     

Investigating the effect of status changes in review platforms

Review platforms often use transient status reward systems where the granted status is not permanent, and reviewers can experience gains and losses in status. To evaluate the effectiveness of such systems, review platforms need to consider a trade-off between the potential positive effects of a status gain and the potential negative effects of a status loss on the quantity and characteristics of reviewers’ contributions. This article examines this trade-off. The results of an empirical study that uses matched difference-in-differences analysis of data from Yelp show that: (i) the positive effect of a status gain on the number of reviews is about three times greater than the negative effect of a status loss; (ii) these effects are more pronounced for reviewers with less experience; and (iii) status changes also change the valence and elaborateness of reviews.     

Restaurant survival prediction using customer-generated content: An aspect-based sentiment analysis of online reviews

Business failure prediction or survival analysis can assist corporate organizations in better understanding their performance and improving decision making. Based on aspect-based sentiment analysis (ABSA), this study investigates the effect of customer-generated content (i.e., online reviews) in predicting restaurant survival using datasets for restaurants in two world famous tourism destinations in the United States. ABSA divides the overall review sentiment of each online review into five categories, namely location, tastiness, price, service, and atmosphere. By employing the machine learning–based conditional survival forest model, empirical results show that compared with overall review sentiment, aspect-based sentiment for various factors can improve the prediction performance of restaurant survival. Based on feature importance analysis, this study also highlights the effects of different types of aspect sentiment on restaurant survival prediction to identify which features of online reviews are optimal indicators of restaurant survival.