Crowdsourcing-based semantic relation recognition for natural language questions over RDF data

ABSTRACT

Natural language query systems over RDF data need to rely on the semantic relations in query. First, we propose the new crowdsourcing model that used to produce semantic relations dataset. The model not only inherits completeness of the iterative model and accuracy of the parallel model, but also saves human resources. Second, we mine the rules of semantic relation recognition from the correlations between dependency structures and semantic relations. Third, we propose an algorithm of semantic relation recognition for natural language query over RDF data, and experiments demonstrate that it can recognize more semantic relations than existing methods.     

Portfolio optimization based on GARCH-EVT-Copula forecasting models

This study uses GARCH-EVT-copula and ARMA-GARCH-EVT-copula models to perform out-of-sample forecasts and simulate one-day-ahead returns for ten stock indexes. We construct optimal portfolios based on the global minimum variance (GMV), minimum conditional value-at-risk (Min-CVaR) and certainty equivalence tangency (CET) criteria, and model the dependence structure between stock market returns by employing elliptical (Student-$t$ and Gaussian) and Archimedean (Clayton, Frank and Gumbel) copulas. We analyze the performances of 288 risk modeling portfolio strategies using out-of-sample back-testing. Our main finding is that the CET portfolio, based on ARMA-GARCH-EVT-copula forecasts, outperforms the benchmark portfolio based on historical returns. The regression analyses show that GARCH-EVT forecasting models, which use Gaussian or Student-$t$ copulas, are best at reducing the portfolio risk.     

The Effects of Search-Related and Purchase-Related Mobile App Additions on Retailers’ Shareholder Wealth: The Roles of Firm Size,Product Category,and Customer Segment

Mobile channel additions have been shown to increase consumer-brand relationships, brand satisfaction towards and overall purchasing from a retailer, but what is less apparent is whether shareholders are fully rewarded for retailers’ mobile channel additions. Results from an event study on 115 announcements relating to mobile app additions of publicly traded U.S. retail firms between 2009 and 2016 indicate that the stock market responds generally positively to mobile app additions, but specifically to the two mobile app addition types. Stock market responses to search-related and purchase-related app additions are moderated by firm size, product category, and target customer age. For announcements of search-related apps, the market responds more positively to product retailers than to service retailers, and to small firms than large ones. For announcements of purchase-related apps, the market responds less positively to firms that target younger customers than firms who do not especially target them.     

The Relationship Between Consumer-Brand Identification and Brand Extension

The present research aims at examining the role of consumer-brand identification (CBI) in attitude toward brand extension regarding the congruency between the values of consumers and brands. In this way, the benefits of CBI to consumers and brand managers are outlined. This research has been conducted through designing a survey and collecting data through a questionnaire. For data mining and investigating the model, the SEM approach is implemented. According to the findings, high levels of CBI lead to positive attitudes toward the brand extension, and that value congruity positively impacts this relationship. The results outline that CBI impacts fit and tie in separate ways, so that CBI effect on fit is more substantial. Furthermore, according to the results, in comparison to the role of tie, the role of fit is more significant in predicting attitudes toward brand extension. The sample from university students is appropriate for testing theory, but limits generalizing the results of the research. In addition, this research has studied one product category and is limited in this perspective. The findings have remarkable recommendations for implementing brand extension as they emphasize the role of perceived fit. Moreover, by reexamining CBI in a less known market, the research has outlined its positive outcomes for firms. This research has used perceived tie in a brand extension context and, similar to perceived fit, has implemented it as another factor to predict attitude toward brand extension. In addition, this research is unique, as it has investigated CBI in a new context.     

A review of empirical research on interorganizational relations in tourism

During the last few decades, a growing body of literature has been produced on various aspects of interorganizational relations (IOR) in tourism. This paper provides a review of that literature. The findings are based on a review of 269 empirical papers published in 37 tourism journals between 1989 and the first quarter of 2017. The review identifies six main research themes relating to relationship formation, structure and activities, governance, maintenance, outcomes, and evolution. Based on the insights from this review, an organizing framework for research on IOR in tourism is developed and four opportunities for advancing research on IOR in tourism are proposed relating to the pursuit of causal inference, supply networks as a unit of analysis, quantifying outcomes of IOR in tourism, and addressing marginalized topics.     

区域耕地生态价值补偿量化研究——以新疆为例

[目的]在耕地保护形势日趋严峻的情形下,开展耕地生态价值补偿量化研究对了解耕地外部性价值的大小及深化耕地生态价值的量化方法和思路具有重要意义。[方法]文章以新疆为例,从14个地州市的耕地生态服务价值出发,将生态超载指数作为耕地生态服务价值与生态足迹在各地州市转移的测度,同时综合考虑各地州市的经济发展状况,通过构建市域生态价值补偿量化模型分别测算各地州市耕地生态价值补偿量。[结果](1)2015年新疆耕地生态服务价值整体上有盈余输出,全疆共可获得生态补偿费103.31亿元;(2)2015年新疆南北疆耕地生态服务价值比为1:1.7,生态足迹总量比为1:2.2,生态超载指数北亏南盈,表明南北疆耕地生态足迹和耕地生态服务价值间呈"空间异位"格局;(3)新疆北疆乌鲁木齐市、克拉玛依市、吐鲁番市及哈密市共需支付耕地生态补偿费55.67亿元,北疆(乌鲁木齐市、克拉玛依市、吐鲁番市及哈密市外)和南疆地区分别可获得生态补偿费为96.59亿元和62.39亿元。[结论]该文可为新疆各地州市构建耕地生态价值补偿路径提供新思路,也可为以耕地生态价值量确定耕地保护指标和构建耕地生态补偿机制提供参考。     

The role of brand personality,self-congruity,and sensory experience in elucidating sky lounge users’ behavior

This study attempted to develop an integrated model linking brand personality, self-image congruity, hedonic and utilitarian values, and behavioral intentions in the sky lounge context. Our results indicated that brand personality was significantly related to self-image congruity, which in turn influenced hedonic and utilitarian values. While hedonic value significantly affected intentions to revisit and recommend, utilitarian value significantly influenced intention to recommend. Moreover, self-image congruity and values played a significant mediating role. Furthermore, the links from hedonic value to intentions to revisit and recommend, and from utilitarian value to intention to revisit were significantly moderated by sensory experience.     

Tracing VARDI coefficients: a proposal

ABSTRACT

We propose a new approach for tracing the so-called ‘value-added-(re)distribution-important coefficients’ (in short the VARDI coefficients) in a world input–output model. From the perspective of a selected group of economies, VARDI coefficients may be defined as those elements in world input–output matrix in the case of which a small change in their levels leads to the maximization of a share of this group of economies in value added in global value chains. Due to the rapid development of the World Input Output Database, this approach may be easily applied in empirical research to different groups of countries and sectors in world IO models. In an illustrative empirical case study, we use the new approach in order to answer a question regarding what the main directions of the future macroeconomic policy of the U.S. could be in order to ensure the maximization of the country’s share in global value added.     

Interaction between securitization gains and abnormal loan loss provisions: Credit risk retention and fair value accounting

This study investigates whether managers use asset securitization gains to substitute loan loss provision (LLP) management for earnings management, and, if so, whether the percentage of credit risk retained affects such a relationship. The literature provides evidence that managers have used securitization transactions to boost earnings. Using 2001?2014 data for a sample of bank holding companies, I find that managers use securitization gains and LLPs as partial substitutes and that earnings management from securitization gains grows at an increasing rate to substitute income increasing LLP management as the level of risk retention increases. These findings are consistent with the argument that the higher the level of risk retention, the greater the potential impact on achieving earnings targets, given banks’ exercise of discretion over securitization gains through estimation of fair value of retained interest. In addition, I document that the substitution effect between the two tools is non‐existent in the post‐SFAS 166/167 period. Taken together, the findings have timely implications for accounting standards by informing the effect of risk retention that I measure through earnings management techniques. Moreover, my findings provide additional support for improved disclosures on assets‐backed securities.