Evaluation of the Customer Satisfaction Index for Wellhead Blowout Preventers of China’s Petroleum Industry——A new method based on PLS

This paper establishes an evaluation model of the customer satisfaction index for the wellhead blowout preventers of China＇s petroleum industry based on evaluation models of the customer satisfaction index at home and aboard, and by considering the consuming situation in China and the features of the China＇s petroleum industry. For the existence of： （1） multiple correlations among the factors in the model; （2） the variables need to be explained, but that are hard to observe; （3） the customer satisfaction degree of observation variables appears the shape of skewness or two or three peaks, the correlations between the satisfaction index and its factors cannot be described by common multiple regression. This paper uses a partial least squares （PLS） method based on principal components and typical correlative analysis to solve the problem. When PLS is used in the model of the customer satisfaction index of the wellhead blowout preventers, the latent variables and the explanation degree coefficient of the manifest variable to the corresponding latent variables are estimated by PLS path analysis, and the influencing coefficient among the latent variables in the model is estimated by PLS regression analysis. PLS is also be used to calculate and analyze the model and disclose the correlations among the structural variables as well as the correlation between structural variables and its corresponding observation variables, evaluating results of which provide useful information for petroleum industry to improve the product quality and to the enhancement of the customer satisfaction to the product.

Analysis of Influence of Price to Customer Satisfaction Based on the Prediction Models

For the purpose of improvement of the sales, confirming the influence of price to the sales and customer satisfaction of the product is important. The most suitable price should be determined from the view point of customers, and it is extremely important to implement a high quality product corresponding to the real need of customers. It may have close relationship between cost and an expense to implement the individual inherent attribute of system product. Also, it may have close relationship between production cost and price of product. For the purpose of improvement of the customer satisfaction for quality of system product, the method of quantitative quality requirement and evaluation based on the ISO/IEC9126 quality model that includes six quality characteristics is widely recognized. In the precedent study, I have introduced the requirements definition method for the quality of system product based on the system quality model defined in ISO/IEC9126 and proposed the effectiveness of it statistically. In the previous study, I have also confirmed the relationship between inherent attributes of the product and quantitative result of the measured value of total customer satisfaction from the view point of six quality characteristics statistically. I performed the development of the prediction model to estimate the total customer satisfaction for the system product from the view point of inherent attribute of the product. And, I have proposed the effectiveness of application of the estimated prediction model and possibility of improvement of the total customer satisfaction of a system product. Based on the result of previous study, in this paper, I propose the result of investigation of influence of price to customer satisfaction, and the possibility of application of estimated prediction model for improvement of the total customer satisfaction of system product based on the price of product. Also, based on the result of investigation of relationship among price and inherent attributes of product, I propose the possibility of application of estimated prediction model and improvement of the price of system product from the view point of inherent attributes of product.

A Support Vector Machine-based Evaluation Model of Customer Satisfaction Degree in Logistics

This paper presents a novel evaluation model of the customer satisfaction degree （CSD） in logistics based on support vector machine （SVM）. Firstly, the relation between the suppliers and the customers is analyzed. Seondly, the evaluation index system and fuzzy quantitative methods are provided. Thirdly, the CSD evaluation system including eight indexes and three ranks based on one-against-one mode of SVM is built, last simulation experint is presented to illustrate the theoretical results.

Prediction Models for Total Customer Satisfaction Based on the ISO/IEC9126 System Quality Model

The profitability of the system product is decided on the sales of the product. Furthermore, a customer satisfaction for products quality and a price have a big influence on the sales of the product. It spends limited financial resources effectively to raise the profitability of the system product, and it is necessary to realize the high quality product correspond to the customer needs as much as possible. There may be close relationship between cost of a product and an expense to implement the individual inherent attribute of system product. For the purpose of improvement of the customer satisfaction for quality of system product, the method of quantitative quality requirement and evaluation based on the ISO/IEC9126 quality model that includes six quality characteristics is widely recognized. However, independency among each quality characteristic has not been sure and the suitability of method for quality requirement of system product by using these six quality characteristics could not certified statistically. In the precedent study, introduced the requirements definition method for the quality of system product based on the system quality model defined in ISO/IEC9126 and proposed the effectiveness of it statistically. This study have measured the customer satisfaction for the system quality from the viewpoint of six quality characteristics quantitatively and confirmed the effectiveness of the technique to evaluate. In this study, we have confirmed the relationship between inherent attributes of the product and quantitative result of a measured value of total customer satisfaction from the view point of six quality characteristics statistically. This study performed the trial to clarify the relations with the inherent attributes that quantitative result of a measurement of the customer satisfaction based on six quality characteristics by the quality model of ISO/IEC9126. In addition, this study performed the development of the prediction model to estimate the total customer satisfaction for the system product from the view point of inherent attribute of the product. In this paper, we propose the effectiveness of application of the estimated prediction model and possibility of improvement of the total customer satisfaction of a system product.

Research on customer loyalty of B2C e-commerce

Customer loyalty of B2C e-commerce is studied by testing the hypotheses on five latent variables using the structural equation modeling method. After correcting model, online store image is obviously fundamental basis on expectations of shopping online, experience of shopping online, customer satisfaction and customer loyalty between which there are seven positive relationships accepted in the AMOS model. The results provide scientific evidence for B2C e-commerce.

Verification of Quality Requirement Method Based on the SQuaRE System Quality Model

For a purpose of suitable system product development and acquisition successfully, it is extremely important to specify the quality requirement for target system during system design phase, and developing or selecting a most suitable product finally from among the alternative candidate products. However, the quality requirements analysis is a very difficult matter because it is non-formulaic and demands much of product customer’s technical perceptiveness. Traditionally, analysis of quality requirements of a product has been conducted through questionnaires or interviews with customers based on survey investigator’s personal experience. This kind of lack of structure and incompleteness in the traditional approach introduced missing requirements and errors in prioritizing requirements to implement in the requirement analysis of a product. On the other hand, we have been working on developing the techniques (SQuaRE) for quality requirements and evaluation for system and software product for a long time in ISO/IECJTC1/SC7WG 6. For the purpose of specify the quality requirement of system product, the method of quantitative quality requirement definitions based on ISO/IEC9126 [1] quality model that includes six characteristics is widely recognized. However, independency among each quality characteristic is not sure and the suitability of method by using these six quality characteristics for quality requirement is not certified statistically. In this paper, we propose the concept of quality requirements definition method based on the SQuaRE quality models define in ISO/IEC25030 [2,3]. Also, this paper proposes the result of verification about effectiveness of quantitative quality requirement definition approach from the view point of six quality characteristics described in ISO/IEC9126.

A New Method to Evaluate the Corporation——Experimental Research on the Example of NetEase Company

Most of the Internet or e-commerce corporations have few earnings or even none. The traditional corporation valuation methods don not work well when encountering these types of corporations. Just in these backgrounds, a new method called CVBC model is brought forward to evaluate these types of corporations in our article, which is based on the customer lifetime value. In essence, it extends the concept of customer lifetime value and combined with the traditional financial methods, then creates a new valuation method. It can work well to the corporations, which have been said before. The principle, mathematical model of the method and the effect of the practical application are discussed in detail.

面向作战任务目的的上级意图满意度评估模型

首先,利用美国顾客满意度(ACSI)评估模型,构造了面向作战任务目的的上级意图满意度评估模型,并寻找满意度影响因子之间的主要关系;然后,根据指标构建原则构建了面向作战任务目的的上级意图满意度评价指标体系;最后,通过示例展示了该模型及其指标运用的过程,从而为实际作战中上级意图满意度评估提供参考。

Three Dimensional Integrated Value Models Based on ISO/IEC9126 System Quality Model

When introduce a distribution system, it is necessary performing an assessment of system quality generally to evaluate the characteristic of system from candidates targeted product for the purchase and evaluating the superiority and inferiority. The general quality assessment for the system is performed by the integration test based on the quality requirements of the customer till now. But, it is very difficult to perform the integration test completely, because the system testing may depend on the individual person’s high skill and experiences. Recently, the method of the quantitative quality requirements and evaluation based on the ISO/IEC9126 quality model is widely recognized for the purpose of a quality evaluation and improvement of the system product. In the precedent study, I have performed the confirmation of the method of evaluation for the system quality from the viewpoint of six quality characteristics included in the quality model defined in ISO/IEC9126, and the effectiveness of whose quality model could have confirmed quantitatively and statistically. However, it is very difficult to assess superiority and inferiority of the system totally even if evaluating the quality of the distribution system from the viewpoint of six quality characteristics for a customer individually. Therefore, if we could display total quality of the target system visually, we could evaluate and compare the total quality of system objectively and intuitively. Based on these assumptions, in this paper, we propose the concept and effectiveness of the “Three Dimensional Integrated Value Model” based on the result of precedent study about six quality characteristics.

基于主题模型和情感分析的进口跨境电商顾客满意度评价研究

进口跨境电商已成为驱动国内消费增量的新业态,而顾客满意度的高低则是进口跨境电商提高留存率和转换率的关键。与此同时,海量的在线评论为商家提供了极具价值的信息,对其进行情感挖掘将有助于商家优化产品供给。为此,选择京东全球购个人护理产品作为研究对象,通过构建进口跨境电商顾客满意度综合评价模型,运用TF-IDF算法和文本聚类LDA主题模型等对评论文本内容进行分析和主题特征提取,并建立情感词典依次对顾客满意度各影响因素匹配赋值打分,以此来确定各项用户需求的重要度和产品及服务改进的优先级顺序。最终研究表明影响顾客满意度的各个因素综合得分排序从高到低为产品质量、物流服务质量、品牌信誉、感知价值、商家服务质量。

逻辑回归和支持向量机在客户信用分类中的应用

本文借助R语言,基于逻辑回归和支持向量机模型理论,分别建立客户存款信用分类模型来判断个人客户是否订阅定期存款的状况,通过对比两种模型的错判率和评估性能,选取出相对最优的逐步逻辑回归模型,刻画出最潜在的客户画像,预测订阅存款的可能性,进而对测试集数据分类和判别。这将作为商业银行界用来判断客户是否订阅定期存款的依据,同时也利于银行工作人员选择出更好的营销对策。

基于客户维度视角下构建新零售超市行业的绩效评估模型

为推动国内贸易高质量发展,构建新发展格局,借助多维度、各式各样的消费渠道以及介质,以此营造一个高效便民的城市生活圈,主打便民性、标准性、智慧性、高品质性的社区服务,超市行业发挥着极其重要的作用。至2021年4月,我国超市行业近五年规模的平均增长率均超30%。超市行业作为一种新型线下零售业模式,更容易满足人们的突发性需求,而且大背景下消费者拥有比以往更多的选择权,客户满意度作为衡量产品质量或服务质量的一种综合性指标,也备受社会关注。因此文章从平衡计分卡,并就客户维度来着重研究,借助中国客户满意指数基本模型(CCSI),利用AHP法与熵权法的定性与定量结合,建立有针对性的绩效评估模型。

航空发动机客户需求与技术措施重要度量化评估应用研究

现有的民用航空发动机客户需求重要度的量化评估方法不符合民用航空发展稳中求进的需要。采用Kano模型和质量功能展开(QFD)方法,提出一种客户需求技术措施重要度量化评估改进算法与技术措施重要度量化评估方法,增加客户需求重要度调整系数中基本型需求的比重,将客户需求进行重要度量化评估并转化为可量化的发动机产品和服务的技术措施,完成技术措施的优先级排序;给出民用航空发动机运行支持体系、换发设备开发的应用案例。结果表明:客户需求重要度量化评估改进算法与技术措施重要度量化评估方法能够在发动机产品和服务研制过程中更加科学有效地进行资源分配与决策,提升产品市场竞争力。

海南冼夫人文化遗产旅游开发适宜性评价

构建针对旅游地的旅游开发适宜性评价体系,对海南省19个市县开发冼夫人文化遗产旅游的适宜性进行评价,根据评价结果对各市县的旅游开发适宜性进行类型划分,提出对应发展模式。结果显示:文化遗产旅游开发适宜性主要由开发禀赋、开发条件、开发环境等因素决定;海南各市县冼夫人文化遗产旅游开发适宜性可分成4种形态;资源丰富地区,倘若旅游发展滞后、接待设施较少、文化投入不足、社会建设滞后,也会影响开发潜力释放;旅游产业发达的资源匮乏地区,在市场需求驱动下,通过资金投入、创意孵化和科技运用等手段,也能产生拥有市场吸引力的优质产品;各地应根据自身情况,做好调查规划,采取针对性开发模式,避免无序开发,实现文化遗产资源与现代旅游业的深度融合、统筹协调与高质量发展。

网络消费者行为影响因素分析及实证研究

保持网络顾客忠诚是电子商务企业提高利润率和实现可持续发展的重要前提,其关键是明晰网络顾客忠诚的影响因素和影响途径。本文以计划行为理论为依据,分析了电子商务环境下消费者行为意向和实际消费行为的各种影响因素,建立了整合电子商务服务质量、顾客满意、情感关系和切换障碍的网络顾客忠诚影响模型。在此基础上提出了相应的假设,并通过实证方法对假设模型进行验证。研究发现,顾客忠诚行为意向是实际消费行为最直接的影响因素,而顾客满意、情感关系以顾客行为意向为中介间接影响顾客实际消费行为;网站使用经历、服务可靠性、安全与隐私、客户服务经历等因素通过顾客满意间接影响顾客忠诚行为意向。

旅游地顾客忠诚模型及实证研究

在对国内外顾客忠诚研究进行回顾的基础上,结合旅游业的特点,构建了旅游地顾客忠诚结构方程模型,探讨旅游地顾客忠诚的度量指标和驱动因素。研究发现:(1)旅游地顾客忠诚不仅表现在重游行为上,还包括旅游者的正面口碑宣传和推荐作用;(2)顾客感知质量、顾客感知价值、旅游动机、顾客满意是旅游地顾客忠诚的4个驱动因素,对顾客忠诚均有显著的正向影响。

试论顾客满意的形成机理模型及其发展

随着市场竞争的日趋加剧和顾客争夺成本的提高,顾客满意管理已经引起关系营销理论界与实践界的广泛关注。基于国外顾客满意理论的最新研究进展,分析顾客满意的形成机理模型及其主要观点,探讨顾客满意理论研究的发展态势。

电子商务环境下客户忠诚的探究

随着电子商务的深度发展,传统商务模式下的客户发生了很大的变化,客户非常容易流失,甚至是满意的客户,只有忠诚的客户才能保证企业长期的利润。所以,在电子商务环境下,如何通过有效地评价客户忠诚度,发现企业自身不足和客户需求,指导生产和经营,来提高客户忠诚度,已经引起了广泛关注。

SQL Server 2005数据挖掘技术在证券客户忠诚度的应用

文中主要研究了我国证券业客户忠诚度分类和表现形式,提出了一种证券业客户忠诚度评估的有效方法。依据RFM客户评价方法,结合数据挖掘的一般流程将SQL Server 2005中的数据挖掘技术应用于证券业客户忠诚度模型系统中,并结合某证券公司客户交易数据,对其客户忠诚度进行了准确合理的分类,对其不同忠诚度类型的客户提出相应个性化营销建议,最后通过使用DMX语言在客户端运用数据挖掘产生的分类规则对其客户进行了准确预测。

物流服务质量对电子商务企业顾客忠诚度影响研究

探究电子商务环境下,影响顾客忠诚度的物流服务因素。构建"物流服务质量—顾客忠诚"模型,并将物流服务质量分为物流配送质量,人员服务质量,信息交互质量,应急处理质量四维度。运用结构方程模型,通过信效度检验,拟合度和路径分析,结果表明:物流服务质量对顾客满意有直接正向影响;经验性因素对顾客信任有直接正向影响;物流服务质量通过顾客信任和顾客满意间接影响顾客忠诚;物流服务质量对顾客忠诚度的影响效果值偏小。