FIPIA with information entropy: A new hybrid method to assess airline service quality

This study proposes “FIPIA with information entropy” as a new, hybrid method to assess airline service quality by identifying the most important priorities for airline passengers and producing recommendations to airline management for optimal resource allocation to improve service quality and customer satisfaction. The proposed method is an improvement over IPA, IPIA and FIPA methods, through the introduction of information entropy and fuzzy logic to the analysis of importance, performance and impact dimensions of airline service quality to improve interpretability and actionability of analysis results. This study also offers airline managers a list of what they should improve in resource allocation in order to increase service quality considering customer satisfaction and create value by managing the relational capital more effectively. The new hybrid method was field-tested by administering a 26-item questionnaire to passengers of a major airline operator, analyzing the responses using the Importance-Performance-Impact Analysis (IPIA) method, fuzzy logic and information entropy. The analysis revealed four main dimensions of airline service quality, namely reliability, assurance, tangibles, empathy and responsiveness with 17 constituent attributes. The case study revealed that (1) resource allocation was adequate only on four attributes; (2) seven service quality attributes were identified as needing further management focus on resource allocation; (3) six service quality attributes received more resources than necessary which should be shifted to other attributes; (4) dimensions of reliability and tangibles needed more focus than others. The proposed hybrid method of FIPIA with information entropy can be employed for any industry where service quality depends on multiple attributes.     

Advancing tourism research through multilevel methods: research problem and agenda

Tourism research often encounters social phenomena and research problems that involve multiple levels. However, most researchers assume that the phenomena exist in a single level and perform analyses that do not reflect the hierarchical nature of social dynamics. This article heeds the call from Current Issues in Tourism by illustrating multilevel methods and proposing an agenda for multilevel research. In particular, this article seeks to reconcile the limitations of single-level analysis and to delineate how multilevel methods could be applied in tourism research. It further seeks to advance tourism theories by introducing more complex multilevel design with broader applications in various tourism settings. This article presents two common tourism research scenarios, critiques their limitations, and proposes how multilevel methods could not only address these limitations, but also how they could advance tourism theories. An empirical study is offered to demonstrate multilevel design and analytical techniques.     

工程量清单招标方法的探讨

工程量清单招标是国际上普遍使用的通行做法。它适应市场并合理配置资源,有利于施工企业合理报价,实现优胜劣汰,有利于标底的管理和控制,合理分散风险等,是我国工程造价体制改革的必然走向。     

由行星运动公共特征综合运动物体“磁场”

辩证理解牛顿第一定律,并采用牛顿综合万有引力的科学方法,由行星长期运动公共特征,综合运动物体的"磁场"。     

生物柴油的制备方法及应用现状

石油能源紧张和油价的飙升,使人们越来越重视石油燃料的替代品。生物柴油是一种近年来备受关注的石油能源替代品,它不仅燃烧性能与石油柴油相当,且具有环境友好、资源可再生的优点,是替代石油柴油的理想燃料之一。本文介绍了生产生物柴油的主要制备方法、优缺点,及国内外生物柴油的生产使用现状。     

高职物流成本管理课程考核方法改革探讨

《物流成本管理》是高职物流管理专业的一门专业课程,目标是让学生能够掌握物流成本管理技巧,为了更好地体现以职业能力和素质培养为目标的高职教育特色,本门课程进行了改革,文中主要探讨该课程的考核方法改革。本课程以具体的物流成本核算任务为主线进行学习和教学,过程性评价和结果性评价相结合,过程性评价主要是考核学生对不同类型物流企业进行成本核算的能力,通过对不同类型的物流企业进行成本核算,在练习中掌握物流成本核算的方法,提高物流成本管理的技能,结果性评价主要是考核学生对物流企业成本核算方案的制作能力,通过对不同物流企业进行成本核算方案制作,提高学生综合应用物流成本管理知识的能力。     

城市公共景观对周边住宅价格影响——以株洲神农城为例

城市公共景观对提升城市竞争力,改善市民生活品质有显著贡献。然而目前国内对于城市公共景观的附加价值研究多停留于定性层面,在城市发展决策过程中,很难将其外部效用考虑进去。选择了株洲的公共景观项目,“四大百亿工程”之一的神农城周边楼盘作为研究对象,应用住宅特征价格模型定量计算丁神农城对其周边1250m范周内住宅价格的影响。结果表明神农城对剧边住宅价格有显著的正向影响。量化了的城市公共景观价值可以为开征环境税,城市土地利用结构与功能优化、城市空间合理布局以及城市绿地系统规划、立法、财政预算等提供理论依据和实证支撑。     

On estimating long-run effects in models with lagged dependent variables

A common procedure in economics is to estimate long-run effects from models with lagged dependent variables. For example, macro panel studies frequently are concerned with estimating the long-run impacts of fiscal policy, international aid, or foreign investment.Our analysis points out the hazards of this practice. We use Monte Carlo experiments to demonstrate that estimating long-run impacts from dynamic models produces unreliable results.Biases can be substantial, sample ranges very wide, and hypothesis tests can be rendered useless in realistic data environments. There are three reasons for this poor performance. First, OLS estimates of the coefficient of a lagged dependent variable are downwardly biased in finite samples. Second, small biases in the estimate of the lagged, dependent variable coefficient are magnified in the calculation of long-run effects. And third, and perhaps most importantly, the statistical distribution associated with estimates of the LRP is complicated, heavy-tailed, and difficult to use for hypothesis testing. While many of the underlying problems have been long-known in the literature, the continued widespread use of the associated empirical procedures suggests that researchers are unaware of the extent and severity of the estimation problems. This study aims to illustrate their practical importance for applied research.     

基于管理熵和管理耗散结构理论的企业危机管理思考

企业作为一个开放系统,从创立、成长、成熟到衰退,经历着快速发展变化的复杂过程,在这一过程中,企业由于外部环境和内部条件的不断变化,无时无处不存在危机。研究通过企业危机形成与发展的几个阶段和企业危机管理模型的介绍,分析管理熵与管理耗散结构理论和企业危机管理的关系。综合运用管理熵和管理耗散结构理论,探析企业危机与管理效率的实质,建立企业危机管理系统,使企业得以生存与持续发展。     

论高校基层党支部发挥战斗堡垒作用的途径和方法

高校基层党支部是高校党建工作的基础,是思想政治教育工作的前沿阵地。2007年党的十七大再次强调党的基层组织是党执政的组织基础,肯定了基层党组织建设在党的建设新的伟大工程中的重要地位。结合高校基层党支部工作实际,探讨如何进行高校基层党支部建设,有利于充分发挥高校基层党支部战斗堡垒作用。