A neural network based price sensitive recommender model to predict customer choices based on price effect

The impact of price and price changes should not be ignored while designing algorithms for predicting customer choice. Consumer preferences should be modeled with consideration of price effects. Businesses need to consider for efficient prediction of an individual's purchase behaviour. Personalized recommendation systems have been studied with machine learning algorithms. However, the price-aware personalized recommendation has received little attention. In this paper, we attempt to capture insightful economic results considered in the marketing and economics disciplines by employing modern machine learning architecture for predicting customer choice in a large-scale supermarket context. We extract personalized price sensitivities and examine their importance in consumer behaviour. The employed data collected from a supermarket chain in Germany consists of implicit feedback based on customer-product interactions and the price of every interaction. We propose a two-pathway matrix factorization (2way-MF) model that is price-aware and tries to memorize customer-product interaction's implicit feedback. The proposed models achieve better model performance than standard Matrix Factorization models widely used in the industry. The approach was re-validated with data from supermarket chain in Taiwan. Other industries can adopt the proposed framework of modeling customer's preferences based on price sensitivity. We suggest that further research and analyses could help understand the cross-price elasticities.     

沿海地区金融空间关联的经济效应研究——以山东省为例

金融作为经济增长核心助推器,对其空间集聚与扩散的经济效应准确识别,是沿海地区发展蓝色经济的关键所在。本文以山东省为例,通过建立金融发展空间关联网络识别区域的金融空间关联关系,基于此设计金融关联空间权重矩阵,对金融空间关联的经济效应进行检验。结果表明：山东省城市间金融发展具有稳健的空间关联性;区域金融发展水平同区域经济发展之间存在显著正向促进效应,金融发展能有效拉动本区域经济状况,对周边区域经济正向拉动效应相对微弱。建议从加快推进区域一体化进程,加强城际间金融交流合作,鼓励金融创新发展等方面充分发挥金融发展正向溢出效应,拉动沿海地区蓝色经济向好发展。     

Assessing the economic impact of entrepreneurship on a regional economy using social accounting matrices: the case of Andalusia

This article analyses the impact that entrepreneurial activity has, from the economic point of view, on a regional economy (Andalusia), based on a Social Accounting Matrix linear model. Moreover, to measure entrepreneurship at regional level, it is defined what can be considered an entrepreneurial initiative company from a quantitative point of view. The results obtained, in terms of Production, GDP and job creation, show how entrepreneurship, in the case of Andalusia, contributes to the sustainability of the economy, its growth and, above all, the reduction of unemployment in the short term.     

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。     

Estimation of interregional input–output table using hybrid algorithm of the RAS method and real-coded genetic algorithm

In this paper, we propose a method for improving the accuracy of the estimation of interregional input–output tables, by combining the RAS method and the real-coded Genetic Algorithm (GA); these are simple representative methods for the estimation of an interregional input–output table. By comparing the performance evaluation results obtained using the proposed method, the RAS method, and Simulated Annealing, we verified that the combination of the genetic algorithm and the RAS method can enhance the estimation accuracy of an interregional input–output table. In addition, performance is further enhanced by adjusting GA parameters.     

Updating Input–Output Tables with Benchmark Table Series

Numerous methods have been proposed to update input–output (I–O) tables. They rely on the assumption that the economic structure will not change significantly during the interpolation period. However, this assumption may not always hold, particularly for countries experiencing rapid development. This study attempts to combine forecasting with a matrix transformation technique (MTT) to provide a new perspective on updating I–O tables. Under the assumption that changes in the trend of an economic structure are statistically significant, the method extrapolates I–O tables by combining time series models with an MTT and proceeds with only the total value added during the target years. A simulation study and empirical analysis are conducted to compare the forecasting performance of the MTT to the Generalized RAS (GRAS) and Kuroda methods. The results show that the comprehensive performance of the MTT is better than the performance of the GRAS and Kuroda methods, as measured by the Standardized Total Percentage Error, Theil's U and Mean Absolute Percentage Error indices.     

LCD供应商质量控制和改进应用研究实例

文章分析了公司所采用的质量改进的方法及相关理论如何运用于供应商的质量管理工作中,并对著名的摩托罗拉六西格玛质量管理理念的应用作了详细的阐述。通过公司对供应商的质量控制,改进效果,使供应商的质量控制标准化,从而使供应商遵循标准化文件,达到质量良率的要求。     

浅议矩阵式管理与国有商业银行管理创新

矩阵式管理是国际上商业银行为了应对经济全球化、金融一体化和客户需求多样化带来的挑战而采取的新型管理模式。它按区域、产品和客户等多重目标建立管理和报告关系,较好地解决了传统管理模式中存在的管理低效问题。本文以中国工商银行吉林省分行为例,研究矩阵式管理对我国银行业管理创新的借鉴意义,在指出了吉林分行现有组织结构的缺陷的基础上,进一步研究了引进矩阵式管理对吉林分行管理创新的重大意义,并对引进方式及注意事项提出了建议。引进矩阵式管理模式,将有助于我国的商业银行塑造完整的产品链条,增强管理的专业性,从而提高经营效率。     

低碳发展视域下的科技政策:模式构建与演化路径

科技政策具有鲜明的时代特征,随着时代进步而不断演进与发展。基于低碳发展视域,以低碳经济理论、政策设计理论为基础,分析科技政策发展现状,从政策主体、政策客体、政策目标3个方面识别科技政策维度,构建基于战略、中观与基础层面的S-M-B科技政策模式系统框架,并运用博弈观点分析科技政策模式作用机理。研究表明,低碳科技政策是一个不断发展演变的政策体系,需要基于系统观构建政策模式,并保障主客体之间在低碳发展中的政策均衡。最后,运用放大镜模型探析科技政策体系演化模型,提出对接-整合-融合的动态演化路径及具体管理启示。     

基于SAM的价格敏感性行业甄别及其传递路径分析

本文运用社会核算矩阵价格乘数理论构建价格敏感性指标,将其应用于甄别对价格波动更敏感且价格影响辐射更广的行业或生产要素,并探讨了价格冲击的具体传递路径。根据价格前向与后向联系的相对大小,本文将各行业或要素分为价格敏感型、价格波动诱因型、价格不敏感型和易受价格波动影响型四类。实证表明,不同行业或要素的价格敏感性存在显著差异;非熟练劳动力对行业的价格传递主要是通过直接路径发生作用,而熟练劳动力、资本、土地的价格传递则存在直接或间接路径等多种渠道。本文研究结论可为有针对性地依据价格敏感性与传递路径来制定通胀宏观调控政策提供参考。