基于层次分析法的多校区高校管理决策研究——以广东农工商职业技术学院为例

多校区高校要就如何在各校区安排学生、配置教学资源的问题作出决策,该管理决策主要的考虑因素有人才培养质量、学生就业便利性、管理效率、专业建设、办学成本等。校园分区的方式有按年级分区、按专业分区和综合模式。该文用层次分析法对校园分区管理决策问题进行了定性和定量分析,找出合适的校园分区管理决策。     

开发区土地集约利用评价——以四川省达州市经济开发区评价为例

随着经济的不断发展,开发区在城市中的地位越显特殊,作为当前城市经济的增长点,开发区的土地集约利用程度直接关系到开发区的可持续发展,因而评价开发区的土地集约利用状况具有重要意义。本文在分析开发区土地集约利用内涵基础上选取了14个指标,按照层次分析方法分为3个层次,分别确定各层次指标的权重,以达州市为例,对开发区土地集约利用进行评价。     

土地综合整治效益评价研究——以河南省陕县为例

通过选取陕县2个土地整理项目、4个土地综合整治项目,借助层次分析法(AHP)对陕县土地综合整治从经济、社会、生态三个方面效益进行评价分析,并构建相对完善的评价指标体系,得出如下结论:土地综合整治效益优于土地整理效益、经济基础是土地综合整治效益高低制约因素的结论。     

黑龙江省国有林区生物质能源发展模式研究

利用超效率DEA分析法对黑龙江省国有林区的40个林业局发展生物质能源绩效进行评价,结果表明:选择具有黑龙江省特色的生物质能源二元梯度发展战略模式,通过此模式能协调高低梯度区域的发展水平,重点发展生物质能源,推进黑龙江省国有林区能源、经济、环境协调发展,最终达到林业可持续发展的目的。     

中心城市金融服务功能比较研究

本文基于如何评估中心城市的综合服务功能强弱及提升城市综合服务功能这一极具现实意义的问题,结合国内外城市综合服务功能研究中的理论知识及实践经验,构建能够反映中心城市的金融服务的规模、结构、效率和辐射力等四大类指标,并进一步从可操作性的角度进行了细分,最终形成一整套较为完善的中心城市金融服务功能强弱的指标体系。文中选取京津沪穗渝五大国家中心城市和经济快速增长、金融业相对发达的深圳、杭州和苏州共八个城市进行实证比较研究,结果表明,北京和上海不但是国家的金融中心城市,正向国际金融中心城市迈进,深圳的国家金融中心城市地位明显,其他所比较的城市发展成为国家金融中心城市制约因素各异。     

基于价值工程和层次分析法的矿井设备选型方法与应用

价值工程是新兴的现代化管理方法之一,本文将价值工程的概念及方法引入矿井设备选型中,对价值工程在矿井设备选型中的应用进行了研究,并引入层次分析法,改进了价值工程方案评价的方法,为建立和优化矿井机械设备选型模型作了应用上的探讨,以便为价值工程的在煤炭工程中的应用提供更为广阔的空间。     

Political risk assessment on air logistics hub developments in Taiwan

Political risk assessment has long been practiced by multinational corporations, but has been rarely used for air performance reviews. This study is a political risk assessment of the development of an air logistics hub in Taiwan, and thus examines the factors leading to physical property losses of air carriers based at the hub. It utilizes a checklist and a brainstorming session to identify risk factors, a 5×5 risk matrix to undertake a qualitative risk survey, and an analytical hierarchy process to assess the risk. The study concludes that micro- and macro-factors are approximately of equal importance to the development of an air hub in Taiwan. Issues relating to inland vehicle parking, air logistics infrastructure developments and the cross-strait relationship appear to be particularly crucial.     

The Effect of Accountability and Time Budgets on Auditors' Testing Strategies*

This study investigates the joint effects of accountability and time budgets on auditors' testing strategies. The task studied, substantive analytical procedures, requires auditors to identify and test hypotheses when investigating the cause of unexpected fluctuations. Thus, auditors must determine the number of tests to conduct (i.e., extent), the number of potential hypotheses to directly test (i.e., breadth), the number of tests for each hypothesis (i.e., depth) and the number of potential error or non‐error hypotheses to test (i.e., focus). Testing strategies, which we define as choices made with respect to extent, focus, depth, and breadth of testing, have significant practical and theoretical implications. For example, reducing the breadth of testing may result in failure to test the correct hypothesis, potentially impairing audit effectiveness. In this study, auditors inherited five potential causes of an unexpected increase in the gross margin of a client. As in practice, their task was to conduct tests to investigate and identify the actual cause of the fluctuation. Auditors were randomly assigned to one of four conditions created by fully crossing accountability and time budgets. The results indicate that accountability leads to an increase in the extent and breadth of testing but does not affect the depth of testing. Further, accountability leads to an increase in the testing of errors but results in a decrease in the testing of non‐errors. The focus on breadth and error testing is consistent with the notion that accountability, to a superior with unspecified preferences, promotes more cautious behavior. The results also show that a time budget decreases the extent and depth of testing but does not affect the breadth of testing. There was no evidence that the two factors interactively affected testing strategies or performance. Finally, increased breadth of testing was the mechanism that led to better performance as measured by the identification of the actual cause of the unexpected fluctuation.     

顾客忠诚度测量模型研究——以移动行业为例

顾客忠诚度的测量对于市场细分以及制定差异化的市场营销战略有非常重要的意义。本文通过对移动行业顾客忠诚影响因素的研究,提出顾客忠诚度的测量模型,并运用层次分析法来计算出指标权重。     

Scientific method and retailing research: A retrospective

In this paper, we review the 164 articles published in the Journal of Retailing over the 2002-2007 time-span, the period reviewed by Grewal and Levy in their recent article entitled “Retailing Research: Past, Present and Future” [Grewal, Dhruv and Michael Levy (2007), “Passing the Baton, Journal of Retailing 2001 to 2007,” Journal of Retailing, 83 (4) (in this issue)] for their content. Two study characteristics are reviewed for each publication: (1) approach adopted for methodology (classified into eight categories of Student Surveys, Consumer Surveys, Secondary Data, Laboratory Studies, Industry Surveys, Qualitative Methods, modeling, and other) and (2) inferential tools employed by the scholars. The latter are sub-grouped into six categories of regression, ANOVA/MANOVA, structural equation modeling (SEM), analytical modeling, qualitative analysis, and other. Patterns of the usage of these approaches and techniques are tracked over the years and across content areas. We find that researchers in a particular Substantive Content Area tend to focus on particular methodological approaches and inferential tools. We argue that much is to be gained by shaking up these historical patterns.