Recurrent Marketing Decisions: Decision Complexity,Decision Focus,and Firm Performance

In this paper we examine the nature of the decision-making process for recurrent marketing decisions and its effects on firm performance. A conceptual model of recurrent decision-making in a competitive environment is developed and used as a framework for analyzing 96 tactical decisions made by 35 management groups in the last three periods of a management simulation. The decisions were based entirely on a set of decision rules developed by the management groups. The decision rules were coded for whether they were internally or externally focused and how complex their decision process was. These two factors were then used to predict firm performance. There are a number of important results. The greater the uncertainty in the link between a decision variable and its outcome, i) the more likely managers are to prespecify the value of the decision variable rather than construct a decision rule, ii) the less complex the decision rules that are constructed, and iii) the greater the proportion of internally-focused decision rules. In addition, the focus of a decision rule, but not the complexity of the process—independent of the focus—is positively related to performance with firms that focus on both internal and external factors doing best.     

数据质量评估框架及其信息量分析

统计数据质量重要性催生出各国用于数据质量评估的框架、系统,IMF制定的数据质量评估框架因其结构完整性和较强归纳性受到成员国的广泛采用。文章通过运用信息熵理论对数据质量评估框架(DQAF)本身的维度、指标信息量问题进行研究,得出：(1) DQAF各维度、指标在账户内     

基于利益相关者视角的统计数据质量管理体系研究

统计数据质量涉及到数据的生产者、使用者、提供者和监督者等利益相关者,不同主体关注的数据质量维度各有侧重。文章提出作为统计数据质量评估主体的统计机构,应突破自身作为数据生产者的局限,兼顾数据生产者、使用者、提供者和监督者的不同质量要求,采取与之相应的评估指标、方法和多样化的评估形式,全面评估统计数据质量,实施有针对性的数据质量管理策略。最后,给出简短结论与未来展望。     

多学科视角下的统计数据质量管理

统计学科对数据质量管理的系统研究和实践落后于信息科学和会计学,因此有必要结合质量管理的一般原则和这两个学科的经验来改进统计数据质量管理。文章在全面数据质量管理的框架中补充了适合统计数据质量管理的一些特征。结合会计信息质量框架和对数据质量的效益成本的综合考虑,文章认为可以用其他数据质量特征取代客观性,而对可及性的处理则必须权衡数据保密性、信息技术和成本的诸多约束。     

统计数据质量评价体系探讨

统计数据质量是统计工作的生命,统计数据质量的高低直接关系到各类经济主体和政府部门对经济形势的判断和决策。文章借鉴全面质量管理的思想,从满足用户和统计数据产生全过程的角度,系统地阐述了统计数据质量的内涵,在此基础上提出构建我国政府统计数据质量评价体系的设想,以期为相关决策部门提供参考。     

数据生产者权之证成——以数据资源排他权为视角

非个人数据作为一种资源,其价值在于不断地流通。而在现行法律框架内,合同法+侵权法+技术措施为数据生产者架构了一个事实财产权的框架,在实现数据保护的同时加剧了数据锁定之风险,不能为数据流通提供行为预期。而数据赋权的意义在于,承认数据的事实财产权,并进一步将之塑造为实证法上的权利概念,从而为数据流通提供行为预期。数据生产者(包括单个数据生产者和数据集生产者)作为数据流通的发起者,在数据生产过程中投入了大量的人力、财力,因而需要赋之以权利,通过法律上的激励机制实现数据流通。排他权是权利结构的核心,数据资源的排他权并非没有先例可循,商业秘密即可借鉴。对于数据资源排他权的塑造,其维度有二:一是通过合同界定出价值量相对完整的客体,即单个数据抑或数据集(维度广、种类多、数据量大);二是通过行为规范,即从来源合法和使用不违法两个层面构建数据利用行为规范。只是客体特定化需要通过技术手段(如可追溯日志)甚至法院确权程序(如果有的话)来确定。其结果就是,该项权利消弭了对世性,即有限对世,丧失控制即丧失权利。这样的权利设计既迎合数据资源属性,亦符合财产法原理。     

Role of Family Resources in Firm Performance: Evidence from Tanzania

The main purpose of this article is to examine the role of intangible family resources in the performance of family enterprises in Tanzania. In particular, the article examines the role of information sharing, family patient capital and family labor in firm performance. Using a sample of 163 family firms and the structural equation model of analysis, the findings indicate that family patient capital and information sharing contribute significantly to the performance of firms. With regard to the cost of labor, the study does not show any evidence that lower labor costs improve family firms' performance, most probably because these businesses incur additional labor costs which are not directly linked to the business. Based on the results, it is concluded that the family has an influence on the strategic level of family businesses, thereby contributing to their success.     

大数据时代会计师事务所质量控制机制研究——来自中兴财光华会计师事务所的经验启示

在大数据时代下,信息技术既可以深层次加强资源开发和资源共享,还可以增强信息管理的高效化以及精准化。审计的对象是以会计为主的信息系统,审计软件及审计底稿也是复杂的系统数据。基于大数据对审计的程序、方法、证据、成本等工作均产生影响,结合大数据时代审计质量控制机制建设的新内容,以中兴财光华会计师事务所为例,对其在大数据时代审计质量控制机制内容与不足方面进行了研究,并提出了加强和优化控制机制的系列建议。     

The Effect of Brand Management and Product Quality on Firm Performance: The Italian Craft Brewing Sector

The article contributes to the limited literature on marketing strategies of microfirms operating in new niches within mature industries. The study explores the effect of brand management processes and product quality on performance of microfirms in the Italian brewing industry. Preliminary qualitative interviews with eight entrepreneurs were realized. Then 92 questionnaires were collected from the entire population of 335 microbreweries operating in Italy for quantitative analysis. Findings suggest intrinsic product quality being the most relevant determinants of firms’ performance, while the adoption of brand management processes exerts a significant, negative impact. The article takes into account the relationship between brand management, quality, and performance by focusing on a single industry. Future research may enhance the significance of our findings by including multiple sectors. Entrepreneurs and microbusiness leaders should carefully assess both external (industry life-cycle stage) and internal (resource availability) factors before engaging in any brand management activity. In mature firms, it may be more beneficial and effective focusing on enhancing product quality. The article addresses an important gap regarding the adoption of brand management practices in microfirms, adding to the emerging strategic marketing literature in the small business field.     

基于过程集成的钢铁企业质量管理研究

面向功能的质量管理系统,是一种传统的管理模式,其主要缺陷是流程控制能力的不足。针对这一课题,顺应质量管理发展的趋势,结合钢铁企业质量管理中的问题,从供应链的角度出发,以采购过程、质量设计过程、质量控制过程、面向顾客的服务过程为研究对象,提出了基于过程集成的质量管理系统的体系结构,研究了由ERP/MES/CONTROL三层构筑的企业集成框架,分析了钢铁企业产品实现过程质量管理的功能模型,并在此基础上提出了集成质量管理系统研究的关键技术,研究了钢铁企业过程质量管理中的质量设计方法与技术。     

Firm Size and Job Quality: A Survey of the Evidence from Germany?

Small Business Economics - Small firms provide and create a large proportion of jobs in Germany. Are these jobs worse than jobs in larger firms? The mosaic picture that emerges from a review of...     

人力资源管理模式:基于工作与素质的研究

基于工作与素质的人力资源管理不仅追求人与职的匹配,更关注人与组织的匹配。由于对员工的知识、技能要求较高,这种管理模式相应地增加了企业的成本,而且要求有相应的组织环境、文化环境做支撑。因此,不同的企业在构建基于工作和素质的人力资源管理模式时,应充分考虑企业自身的实际加以运作。     

Data Science,Predictive Analytics,and Big Data: A Revolution That Will Transform Supply Chain Design and Management

We illuminate the myriad of opportunities for research where supply chain management (SCM) intersects with data science, predictive analytics, and big data, collectively referred to as DPB. We show that these terms are not only becoming popular but are also relevant to supply chain research and education. Data science requires both domain knowledge and a broad set of quantitative skills, but there is a dearth of literature on the topic and many questions. We call for research on skills that are needed by SCM data scientists and discuss how such skills and domain knowledge affect the effectiveness of an SCM data scientist. Such knowledge is crucial to develop future supply chain leaders. We propose definitions of data science and predictive analytics as applied to SCM. We examine possible applications of DPB in practice and provide examples of research questions from these applications, as well as examples of research questions employing DPB that stem from management theories. Finally, we propose specific steps interested researchers can take to respond to our call for research on the intersection of SCM and DPB.     

混合服务质量：研究述评与未来展望

信息技术的进步极大地改变了服务生产、传递和消费的形式,促进了人-人交互和人-技术交互结合的混合服务发展。单渠道情境中的传统服务质量和电子服务质量已受到广泛关注,但多渠道融合情境中的混合服务质量还缺乏深入探索。混合服务质量逐渐成为近年来服务营销和管理领域新的研究主题。文章按照混合服务质量的内涵、构成、测量、影响因素以及对顾客行为的影响研究,对国内外该领域的研究情况进行了系统回顾和全面梳理,掌握了国内外的最新研究动态,并对未来研究方向进行了展望,以期促进国内学术界对混合服务质量的关注与探索。     

贸易与环境质量:基于面板数据的分析

贸易与环境问题一直是学术界广泛研究和争论的热点问题,目前国内现有相关文献多是将贸易的环境效应进行分析,测算我国部分经济要素对环境质量的影响,缺乏对主要经济要素的环境效应的系统分析。根据我国1990-2009年间(除西藏以外29个省及直辖市)的面板数据进行回归分析,试图揭示开放经济条件下我国主要经济要素与环境污染的关系。结果表明:对外贸易对不同污染物排放的影响效应不同;对外贸易对环境质量影响的规模-技术效应和结构效应均为正;由对外贸易而引致的经济结构有双重环境效应,即污染天堂动因的积极环境影响和要素禀赋动因的消极环境影响;技术进步和经济结构优化升级有利于我国环境质量的改善。     

环境信息披露质量与银行信贷决策--来自我国沪深两市A股重污染行业上市公司经验证据

本文以沪深两市A股重污染行业2012－2013年上市公司为样本,实证考察我国重污染行业上市公司环境信息披露质量与银行信贷决策两者之间的相互关系。研究发现：重污染行业上市公司环境信息披露质量越高,可获得的银行借款越多。进一步研究发现,环境信息披露质量对重污染行业上市公司短期银行借款的影响更为显著,对长期银行借款的影响则较弱。研究证实,重污染行业上市公司提高环境信息披露质量有助于企业获取更多的银行借款,尤其是短期银行借款。     

Making use of quantitative content analysis: Insights from academia and business practice

This article features a moderated conversation between the author and five leading researchers and practitioners in the field of quantitative content analysis and, more specifically, computer-aided textual analysis (CATA). The interview subjects discuss the factors contributing to CATA’s rise as a research method as well as the benefits and pitfalls of using CATA. The conversation also covers best-practice advice that companies may employ to increase the accuracy of CATA results. These include using different programs or algorithms for the same problem, known as algorithm error.     

Firm heterogeneity,sunk costs,spatial characteristics and export market participation: Evidence from China

This paper develops a dynamic discrete-choice model to analyze the exporting decisions of Chinese firms in Zhejiang province. The results show that sunk costs are found to be significant and prior export experience, productivity, scale, FDI, export spillovers, coastal area and economic zones are all positively related with the propensity of exporting while state ownership concentration has a negative impact. The export behavior of firms varies with country-specific characteristics.     

基于线上线下融合的混合服务质量--内涵、维度及其测量

信息技术的进步促进了线上线下渠道的融合发展,传统服务业正在积极利用线上线下渠道改变服务的生产、传递和消费方式,线上线下融合的混合服务质量管理变得日益重要。文章基于多渠道交易过程视角,考虑顾客通过混合服务传递系统与服务企业的接触体验,全面定义和测量了线上线下融合的混合服务质量。运用访谈法、内容分析法、预调研和大样本调查分析,在中国情景下开发了线上线下融合的混合服务质量测量量表(OMO-HSQ)。通过因子分析、信度检验、效度检验和竞争模型比较分析,证明该量表有良好的心理测量学品质。研究表明,线上线下融合的混合服务质量包括了实体服务质量、电子服务质量和整合服务质量三个主维度及其十五个次级维度和对应的六十一个测量题项,混合服务质量构成维度对总体混合服务质量的相对贡献由大到小依次为整合服务质量、实体服务质量和电子服务质量,实体服务质量评价得分要依次高于电子服务质量和整合服务质量,企业类型、消费者类型和服务行业类型对混合服务质量有差异化影响。研究为测量混合服务质量提供了科学依据和工具,对混合服务企业服务质量管理有重要实践启示。