A data-driven approach to measure restaurant performance by combining online reviews with historical sales data

Restaurant management requires customer responsiveness to deal with increasingly higher expectations and market competitiveness. This study proposes an approach to simplify the decision-making process of restaurant managers by combining both live social media customer feedback and historical sales data in a sales forecast model (based on TripAdvisor data and the Bass model).Our approach was validated with internal and external (i.e., online reviews) data gathered from six restaurants. The collected data was processed using data analytics for developing a dashboard that provides value for restauranteurs by taking advantage of online reviews and sales forecast. Such dashboard was evaluated by restaurant management experts, which provided positive feedback, highlighting in particular the time saved in the decision-making process.     

Leveraging the synergies between design science and behavioral science research methods

For over two decades, information systems researchers have grappled with defining what constitutes good design science research. With too many older papers simply documenting the development of systems without a clear message of the contribution to science, design science fell out of favor with the information systems discipline. With the emergence of intelligent systems and the re-shaping of knowledge work, substantial effort has recently focused on articulating what constitutes a design science research contribution. In recent years, however, the discussion on the role of behavioral theory and behavioral research in complementing design science research has faded away. In this paper, we argue for a broader view on the synergies of behavioral and design science research with an emphasis on the greater role that behavioral science can take in shaping and validating design science research and motivating future research. We use the INSOLVE program of research as a proof of concept for how this synergistic relationship can be leveraged.     

基于DEA模型的我国轻工业经营效率研究

运用DEA模型对我国31个省区市轻工业的经营效率进行了实证研究和分析,结果表明,大部分省份轻工业的经营效率是非DEA有效的,尤其是沿海发达地区的轻工业大省。针对此现象进行了深入分析,并提出了相应的对策。     

人民币汇率变动的贸易效应——基于分国别(地区)面板数据的分析

中国对不同国家(地区),特别是亚洲国家(地区)和西欧国家(地区)的贸易结构的差异很大,人民币汇率(双边)对贸易(双边)的影响也不相同。本文从分国别(地区)视角,通过建立面板数据模型,实证检验了人民币汇率(实际有效汇率)变动对中国同主要贸易伙伴之间贸易的影响。本文还选择分国别(地区)的初级产品和工业制品两种不同类型贸易数据,进一步揭示了汇率对不同国别(地区)不同贸易类型的影响。     

浅析数据挖掘在就业管理信息系统中的应用

高校扩招带来大学生数量大幅度增加,学生管理信息系统数据海量扩充,为了有效地利用和开发这庞大的数据信息库,提取潜在有用的信息和知识,笔者运用数据挖掘技术针对一家用人单位录用学生的数据信息展开分析,采用关联规则挖掘算法,寻找大量数据中项集之间的关联,得出关联规则,帮助学校有针对性地开展学生就业指导工作,为决策者提供理论依据。     

Comparing and Combining Two Approaches for Chance Constrained DEA

This paper presents a comparison of two different models (Land et al (1993) and Olesen and Petersen (1995)), both designed to extend DEA to the case of stochastic inputs and outputs. The two models constitute two approaches within this area, that share certain characteristics. However, the two models behave very differently, and the choice between these two models can be confusing. This paper presents a systematic attempt to point out differences as well as similarities. It is demonstrated that the two models under some assumptions do have Lagrangian duals expressed in closed form. Similarities and differences are discussed based on a comparison of these dual structures. Weaknesses of the each of the two models are discussed and a merged model that combines attractive features of each of the two models is proposed.

我国合同法中违约金责任的成立及违约金的调整研究

赔偿性违约金的调整基准为违约造成的损失包括可得利益的损失,法院在行使减额裁量权时可借鉴我国台湾地区民法"一部履行之酌减"的立法例,比照因一部履行所受之利益,减少违约金。对于惩罚性违约金的减额,可参酌我国现有的相关惩罚性赔偿的立法例,由法院行使自由裁量权。     

改革的转型与突破口选择

我国改革已进入攻坚阶段。加快改革转型,进行政治体制改革是关键。要以政府预算制度改革为突破口, 推动改革转型取得突破性进展。     

面向AFH客户分类主题的数据仓库的构建

近年来,随着客户关系管理（CRM）在商业运作中的巨大成功,其管理理念及价值被越来越多的企业所重视。在电子商务环境下,一对一营销正在受到企业的青睐。以客户为中心的思想,要求企业要能够有效地获取客户的各种信息,识别客户与企业之间的关系。文章在分析数据仓库特点的基础上,以客户平均购买额（A）、购买频率（F）和客户保持时间（H）作为客户价值细分变量,实例化构建了某食品连锁销售企业面向AFH客户分类主题的数据仓库。应用结果表明,新的AFH客户分类模型具有很强的表征性,能充分反映客户的当前价值（贡献度）和增值潜力（忠诚度）,能为企业提供有效的决策支持信息。     

决策支持系统在企业中的初期实践——数据集中分析系统的应用及思考

数据集中分析系统是一个贵阳供电局各生产、营销等各类业务数据的综合展示平台,系统建设初期主要实现了MIS、电能量、用电营销和9559g等系统的数据抽取及分析工作。通过数据集中分析系统的数据平台可以达到消除“电力信息孤岛”,整合已有信息资源,实现了结构化的简单决策支持,为更深入的决策分析和数据挖掘奠定了技术和数据基础,是决策支持系统在电力企业的早期实施案例之一。