Action Research is Similar to Design Science

In management information systems (MIS) action research is long considered as promising but low-level research approach. It has an utmost relevance because action researchers are working with practitioners to solve the important practical problem. Design science outlined some years ago is just winning a wider audience. Action research was traditionally classified into qualitative research methods. But it seems to be the “wrong” home of action research. We shall show that after comparison of the seven aspects: concrete results of the study, knowledge produced, activities, the intent and the nature of a study, the division of labor in a study and generation, use and test of knowledge, the concordance between the characteristics of action research on the one hand and of design science on the other hand is very good. Hence, action research and design science should next be considered as similar research approaches, and this is a turning point in the history of both action research and design science.     

创业投资公司的后续管理模式设计

文章认为创业投资的后续管理是创业投资机构或专家减少投资风险,确保预期的投资收益率的重要手段。文章以某创业投资公司设计的积极干预型后续管理模式为例,探讨该管理模式把增值服务揉合在监控过程之中,使其能有效地介入创业企业的管理,并进一步突破信息不对称的束缚、减少各种代理风险。     

军事装备物流管理信息系统设计方法研究

阐述了军事装备物流管理信息系统的基本功能；介绍了军事装备物流管理信息系统的构成及各个组成部分的基本知识；在分析军事装备物流管理信息系统工作内容的基础上，运用生命周期法，提出了一种军事装备物流管理信息系统的设计方法。     

基于网格技术的城市公共汽车到站时刻预测研究

在介绍了网格技术的含义和基础知识后,结合我国目前公共汽车预测研究的现状,设计了基于网格技术的城市公共汽车到站时间的预测系统,并对其进行了详细的设计。     

喷粉桩在广州地区软基处理中的应用

文章通过分析喷粉桩工作原理,总结广州地区的经验,对喷粉桩的设计提出了见解。     

山区高速公路选线设计的探讨

对在公路建设中如何贯彻可持续发展战略进行了简要论述,阐明了作者的观点;介绍山区公路的特点,对山区公路传统的选线原则提出了不同的看法;结合常德至吉首高速公路湘西段,从整体把握路线方案,平、纵指标分析,局部方案比选等方面谈山区公路选线。     

宁波市上市公司盈利质量不高的原因与对策

盈利质量的不断改善和提高是企业可持续发展的根本。上市公司的主营业务利润比重与企业盈利质量存在正相关关系，即主营业务利润比重越大，上市公司的盈利质量越高，因此，提高盈利质量的关键就是要突出主业，壮大主业，不断提高主营业务利润比重，形成自己的核心盈利能力。     

基于网络规划的道路系统设计

针对物流系统设计，基于网络规划法提出了一种在物流中心已经确定的条件下，进行道路系统的新的设计方法。通过合理但设把道路系统的设计转变为网络规划中求解最短路径的问题．通过统计每个路段的最短路径通过率．得出路段的运量负担情况，从而为道路的功能和等级设计提供依据。在此基础上．以宁波化工区的物流系统为例，建立了宁波化工区道路系统的网络模型，对宁波化工区的道路系统进行了功能设计。结果表明，该方法在区域物流系统设计中有良好的应用前景．     

Multiple aspect testing for case-control designs

When testing for the equality of two distributions in a case-control design with treatment effects presumed to act possibly on more than one aspect, different tests may be properly considered for testing for different features of a null hypothesis, leading to the multiple aspect testing issue. Two different aspects are therefore of interest: the location-aspect, based on the comparison of location indexes, and the distributional-aspect, based on the comparison of the empirical distribution functions. A simulation study shows that the combined testing procedure exhibits a good robust overall performance, and an application in biomedical research is also presented.     

Linking performance drivers in production planning and inventory control to process choice

This study investigates how process choice relates to production planning and inventory control decisions. We empirically examine the validity of deductively derived patterns about these types of decisions. More importantly, we look for normative insights by exploring how production planning and inventory control decisions affect operations performance. Our findings show that production line and continuous flow plants use more of a level production strategy, and carry less raw material and work-in-process inventory. The performance drivers for these plants, through which the operations function excels, are effective utilization of equipment, reduced finished goods inventory, and reduced setup down time. To gain forward demand visibility and batching economies, job and batch shops rely much more on backlogs in their planning process. These plants use more of a production chase strategy and position inventory lower in the bills of materials. Four performance drivers for top-performing job and batch shops are to find ways that better anticipate customers' orders, have a more responsive chase strategy, carry less raw material or purchased inventory, and shorten production planning horizon, partly through less reliance on backlogs. It is intriguing that top-performing plants not only do the expected things, given their choice of process, but also excel in selected dimensions—some of which fit the profile normally associated with a different process choice. To monitor and continuously improve operations, evaluation ‘scorecards’ should pay particular attention to performance drivers, which change depending on the plant's process choice.