Application of Structural Equation Modeling to Evaluate Service Quality of Sportswear Retailing

Structural Equation Modeling （SEM） used widely in sociology, economics and psychology is adopted. Based on data obtained from marketing research, and using statistical analysis software SPSSll. 0 and LISRELS. 7, Theory of Five Dimensions of service quality is proved to be suitable in sportswear retailing in China. It analyzes the relationship among five dimensions and puts them in order of importance as to service quality in sportswear retailing. Advices are given for sportswear retail companies to improve their .Service quality and enhance customer loyalty.

Application of Structural Equation Model to Evaluate the Perception of Service Quality of Medical Staffs of infectious Disease Department in Chinese Hospitals

Objective To enhance the quality of medical service for Chinese patients through research of service quality from Chinese medical personnel. Methods Serv Qual scale was used for infection medical staffs randomly by sampling questionnaire in Beijing, Shanghai, Chengdu, Chongqing, Guangzhou and Nanning. The data collected were entered and analyzed using SPSS 20.0. Statistical methods included frequency, factor analysis, reliability analysis, correlation analysis, independent samples t test, one-way analyses of variance, simultaneous regression analysis and structural equation model analysis. Results The Kaiser-Meyer-Olkin value for the factor analysis of the scale was 0.970. The Cronbach's α for the reliability analysis was 0.975. The Pearson correlation coefficients were 0.624-0.874 and statistically significant. Undergraduates felt good, Ph D students felt bad; the doctors felt bad; managers felt good. Standard 5 dimensions of the regression coefficients were positive, including empathy(β = 0.288), reliability(β = 0.241) impacting on perceived service quality mostly. The control ability and stability of the standard error of perceived service quality directly effected value were 0.646 and 0.382, respectively. Conclusions Medical staffs of infectious disease department have poor perception of service quality. Hospitals should improve awareness and of clinicians and deepen the reform of the medical care system.

Structural Dimensions Analysis of Service Employees' Innovation Behavior Based on Structural Equation Model

In order to know about the essence of service employees' innovation behavior, the service employees' innovation behavior scale based on their unique characteristics is designed. Data were collected from high-star hospitalities. Through the issuance and the collection of questionnaires, the scale is verified to have good reliability and validity by SPSS software analysis. Meanwhile,the structural equation model( SEM) is suited for testing structural dimensions of service employees' innovation behavior. The results showed that service employees' innovation behavior could be decomposed into a four-dimensional structure,namely innovation orientation, ideas generation, innovation implementation and innovation practice. In addition,there are significant differences in service employees' innovation behavior about subjects' gender,position,education background and years of working.

Quality Management Model for Phase I Clinical Drug Trials:A Structural Equation Model

This study aimed to construct a quality management model for phase I clinical drug trials.A cross-sectional survey was conducted and data were collected from 604 respondents at 69 institutions in China engaged in phase I clinical drug trials.Exploratory and confirmatory factor analyses were used to develop the survey tool.Structural equation modeling was used to construct a quality management model for phase I clinical drug trials.The results showed that the final survey tool had good reliability and validity(Cronbach’sα=0.938,root mean square error of approximation=0.074,comparative fit index=0.962,and Tucker—Lewis index=0.955).The model included five dimensions:government regulation,industry management,medical institution management,research team management,and contract research organization(CRO)management.In total,22 measurement items were obtained.The structural equation model indicated government regulation,industry management,medical institution management,and CRO management significantly affected the quality of phase I clinical drug trials(β=0.195,β=0.331,β=0.279,andβ=−0.267,respectively;P<0.05).Research team management had no effect on the quality of trials(β=0.041,P=0.610).In conclusion,the model is valuable for identifying factors influencing phase I clinical drug trials and guiding quality management practices.

Analysis of Quality of Life in Cancer Patients by Structural Equation Model

Many people have been dead of cancer. The life quality of patients with cancer has aroused great concern from the public and specialists. In this paper, an index system of life quality is proposed to evaluate the quality of life, which includes 6 first-level indexes and 34 second-level indexes. Then, a structural equation model (SEM) based on these in-dexes and relationships among them is constructed for the analysis of quality of life in cancer patients. Furthermore, we offer a definite linear algorithm for the calculation of SEM. This method is more objective and scientific compared with traditional methods, such as descriptive analysis, some simple test methods and so on.

Application of Structural Equation Modelling in Construction Management Research

This paper, based on Deming＇s quality management （QM） theory embodied in ISO 9001, uses structural equation modelling （SEM） in a construction management research. Based on 100 usable responses collected from a nationwide survey carried out from 14th February to 30th May 2008 on all key players in the Malaysian construction value chain, this paper aims to： （a） validate the dimensions of registration efforts to obtain and maintain ISO 9001 certifications; （b） validate the eight QM principles in ISO 9001 for quality management system （QMS） practices; （c） determine the components of organisational improvements experienced as a result of ISO 9001 certifications in terms of company competitiveness, customer satisfaction, and business performance; and （d） investigate the causal relationships among registration efforts, QMS practices, company competitiveness, customer satisfaction, business performance of ISO 9001-certified companies. The knowledge gained from the application of SEM is an important contribution to the body of theoretical literature in QM.

Factors influencing user adoption of location based service:From the expanded TAM perspective

Purpose:This study intends to examine the factors influencing user adoption of location based service(LBS).Design/methodology/approach:This paper develops the research model for user adoption of LBS with the technology acceptance model(TAM) as the theoretical foundation.Using a questionnaire and sampling method,empirical data was collected from 386 participants.Structured equation modeling was used to test the validity of the proposed model.Findings:The results show that I) perceived ease of use.perceived usefulness and perceived playfulness were direct determinants of behavioral intention,and perceived ease of use has the greatest impact of the three;2) emergency,ubiquity,technology maturity and social trust all have positive and significant impacts on perceived ease of use;3) emergency and social trust significantly influence perceived usefulness positively:4) individualization and social impact significantly affect perceived playfulness positively.Research limitations:Subjects were from China’s mainland,which limits the generalizability of the research findings.The interaction effects of age,gender and user experience were not included.Practical implications:This study offers LBS operators,marketers and application developers insights into the way to attract more users by increasing perceived usefulness,ease of use and playfulness of LBS.Originality/value:Location based service is still a relatively new concept and there were few theoretical and empirical studies that examine user adoption of the serv ice.This study contributes to existing LBS adoption studies by modifying and extending TAM and meanwhile the empirical study will help the research community gain a deeper understanding of the factors affecting user adoption of LBS.

Impacts of Chinese Translators’Risk Management Ability on Translation Project Outcomes:A Study Based on Structural Equation Model

Translation project outcomes are affected by many factors.Hence,this study explored the impact of risk management ability of translators on translation project outcomes in China.In the study,we took risk management ability of translators in translation projects as the research objective and collected research data through an online questionnaire to establish a structural equation model.Based on these data in the model,we analyzed impacts of translators’risk management ability on translation project outcomes.Evidently,risks in project planning during translation as well as proofreading and typesetting after translation affect the delivery and remuneration of translation.The study can help translators correctly recognize and manage the risks in translation practices,increase the success rate of translation projects and further promote the sound development of language services.

The integration model of objective and subjective data of residential indoor environment quality in Northeast China based on structural equation modeling

Currently the indoor environment quality is described or evaluated mainly by the subjective or objective data.However,research increasingly has demonstrated that objective and subjective data both had some weaknesses to characterize the indoor environment quality,and they can compensate for each other's relative weaknesses.Hence,this study aims to develop an integration model to allow indoor subjective and objective data to be combined based on the structural equation modeling approach,using the Northeast China residential indoor environmental survey data.The results indicated that the integration model had a good fit for the survey data,and the model validity was confirmed.Moreover,in contrast to the subjective data(R^(2)=0.363)and objective data(R^(2)=0.239),the integrated data(R^(2)=0.553)improved the explanatory power on the satisfaction with the overall indoor environment.Furthermore,this integration model demonstrated that indoor subjective data assigned more weights to the integrated data than the corresponding objective data.The association strength of thermal environment and indoor air quality(0.43 or 0.47)was the strongest among the interactions of thermal,air quality,acoustic,and lighting environments.Consequently,the main contribution of this paper was that it provided a comprehensive model to accomplish the integration of indoor environmental subjective and objective data,promoting the ability to describe and assess the indoor environment quality.

How to Promote the Online Flow of High-Quality Teacher Resources under the"Double Reduction"Policy:An Analysis of Factors Influencing Teachers'Continuance Intention to Participate in Online After-School Teaching Services

Promoting the online flow of high-quality teacher resources has emerged as an important way to pursue coordinated progress in burden reduction and quality improvement under the"double reduction"policy.Based on the Open Online Tutoring Program of Secondary School Teachers(hereinafter referred to as"the open tutoring program")in City A,China,this study examined the factors influencing teachers'continuance intention to participate in the open tutoring program and their structural relationships,using a structural equation modeling analysis based on 1,159 sample data.The results show that:Firstly,teachers'reputation enhancement,perceived playfulness,perceived usefulness,and perceived ease of use have a positive effect on teachers'continuance intention to participate in online after-school teaching services.Secondly,online teaching efficacy has no direct effect on teachers'continuance intention,but rather impacts their reputation enhancement and beliefs about the value of the open tutoring program.Thirdly,social influence has a positive effect on teachers'reputation.Fourthly,perceived ease of use has a positive effect on teachers'perception of the value of the open tutoring program.In light of the above,relevant suggestions are proposed to encourage teachers to continue participating in online after-school teaching services.

The impact of perceived social support, loneliness, and physical activity on quality of life in South Korean older adults

Purpose: The purpose of this study was to propose and test a conceptual model that explains the interrelationships among perceived social support, loneliness, physical activity(PA), and quality of life(QoL) among active older adults in South Korea.Methods: Data were collected from 332 individuals over the age of 65 using a systematic stratified convenience sampling method. Survey data were collected and analyzed using a structural equation model(SEM).Results: Perceived social support had a significantly positive effect on PA(b = 0.14, p < 0.01) and QoL(b = 0.28, p < 0.001) while decreasing loneliness(b = —0.55, p < 0.001). PA had a significant positive effect on QoL(b = 0.12, p < 0.01), and loneliness had a negative effect on QoL(b = —0.37, p < 0.001). Loneliness mediated the relationship between perceived social support and QoL.Conclusion: The SEM results of the current study support the proposed model that explained the interrelationships among perceived social support, loneliness, PA, and QoL among active older adults in South Korea. These findings suggest the importance of incorporating social support mechanisms for PA interventions in order to enhance QoL. The findings of this study can help create more effective health and physical education programs for the older generations in South Korea to enhance their QoL.

Evaluation and Driving Force Analysis of Cultivated Land Quality in Black Soil Region of Northeast China

Cultivated land is an important natural resource to ensure food,ecological and economic security.The cultivated land quality evaluation(CQE)is greatly significant for protecting and managing cultivated land.In this study,320 counties in the black soil region of Northeast China(BSRNC)represent the research units used to construct the CQE system measuring the soil properties(SP),cultivated land productivity(CLP),ecological environment(EE)and social economy(SE).The total of 19 factors were selected to calculate the integrated fertility index(IFI)and divided into grades.Simultaneously,we used the coupling coordination degree model to comprehensively analyze the spatial pattern of the cultivated land quality(CLQ)in the BSRNC,and use the structural equation model(SEM)to analyze the driving mechanism.The results show the following:1)The CLQ of 262 counties in the BSRNC is in a state of coupling and coordination,and the coupling and coordination degree presents a spatial distribution pattern of‘high in the southwest and northeast,low in the northwest and southeast’.The coordinated development degree of 271 counties is between 0.4 and 0.6,which is in a transitional state between coordination and disorder.2)The CLQ in the BSRNC is generally good,with an average grade of 3.High-quality cultivated land accounts for 58.45%of all counties,middle-and upper-quality cultivated land accounts for 27.05%,and poor-quality cultivated land accounts for 14.49%.3)The SEM analysis shows that the SP,CLP,EE,and SE all influence the CLQ.Among them,the SP has the largest driving force on the CLQ,while the SE has the smallest driving force on it.The results confirm that the main factors affecting the evaluation results are crop productivity level,normalized difference vegetation index,ratio vegetation index,difference vegetation index,and organic carbon content.When implementing protection measures in counties with a low CLQ,considering a balanced coordination of multiple systems and reasonably controlling the quality degradation are important.This study provides the current situation and driving factors of the CLQ in the BSRNC and will play an important role in black soil governance and utilization.

Optimal Hybrid Precoding Based QoE for Partially Structured Massive MIMO System

Precoding is a beamforming technique that supports multi-streamtransmission in which the RF chain plays a significant role as a digital precoding at the receiver for wireless communication. The traditional precodingcontains only digital signal processing and each antenna connects to each RFchain, which provides high transmission efficiency but high cost and hardwarecomplexity. Hybrid precoding is one of the most popular massive multipleinput multiple output (MIMO) techniques that can save costs and avoid usingcomplex hardware. At present, network services are currently in focus with awide range of traffic volumes. In terms of the Quality of Service (QoS), it iscritical that service providers pay a lot of attention to this parameter and itsrelationship to Quality of Experience (QoE) which is the measurement of theoverall level of user satisfaction. Therefore, this paper proposes hybrid precoding of a partially structured system to improve transmission efficiency andallocate resources to provide network services to users for increasing the usersatisfaction under power constraints that optimize the quality of basebandprecoding and radio frequency (RF) precoding by minimizing alternatingalgorithms. We focus on the web browsing, video, and Voice over IP (VOIP)services. Also, a Mean Opinion Score (MOS) is employed to measure thelevel of user satisfaction. The results show that the partially structured systemprovides a good user satisfaction with the network’s services. The partiallystructured system provides high energy efficiency up to 85%. Considering webservice, the partially structured system for 10 users provides MOS at 3.21 whichis higher than 1.75 of fully structured system.

A Study of the Relationships Among Total Quality Management, Executive Ability, and Sustainable Competitive Advantage

It is very important for organization to deal with and balance the challenge of environmental complexity and inner resources scarcity. This study considers total quality management (TQM) as a factor linking internal and external of organization and executive ability as linkage to promote and coordinate internal-external elements and then organization obtains its sustainable competitive advantage. The research surveyed effective samples 252 and used Structural Equation Model (SEM) and discriminated analysis for analysis and testing. The results indicate that TQM positively affects executive ability and firm sustainable competitive advantage. Executive ability affects firm sustainable competitive advantage and has the mediating effect between TQM and firm sustainable competitive advantage. Managerial practice implications, limitations, and future research directions have been discussed.

社会资本如何影响茶农绿色生产技术采纳行为?

基于武夷山388份茶农微观调查数据,以生态系统服务功能认知为中介变量、茶农家庭收入水平为调节变量,采用结构方程模型探究社会资本对茶农绿色生产技术采纳行为的作用机制。结果表明:社会资本对茶农绿色生产技术采纳行为具有正向影响,其中社会参与对茶农绿色生产技术采纳行为的影响最大,社会信任次之,社会网络最小;社会资本对生态系统服务功能认知具有直接促进作用,社会资本也可以通过生态系统服务功能认知对茶农绿色生产技术采纳行为起到间接促进作用,其中社会信任所在路径的间接效应最大;高家庭收入水平茶农的生态系统服务功能认知对茶农绿色生产技术采纳行为影响更为显著。据此,提出利用社区资源培育和维护茶农社会资本,提高茶农生态系统服务功能认知,对低家庭收入水平茶农提供相应政策保障等建议。

立德树人视角下课程设置对大学生德育素养的影响研究--以经济学专业为例

人才是第一资源,经济学人才更是推动产业结构优化升级,提升国家整体竞争力,实现经济高质量发展的重要引擎。因而,培养具备较高德育素养的经济学人才是高等教育的重要目标。良好的培养模式是提升经济学人才德育素养的主要推力,其中,课程设置是培养模式的核心组成部分,该文在立德树人视角下,使用问卷调查数据,实证检验课程设置对经济学专业人才的德育素养影响。研究结果表明,课程设置对高校学生德育培养具有显著促进作用,其中课程设置对学生创新能力的影响最大。高校应不断更新优化课程设置,包括增加实践性课程的比重,加强学生综合素质教育以培养创新思维和实践能力,提供多种形式的实践机会等方面提升经济学专业人才的德育素养。

“双一流”大学教师国际学术影响力研究——结构、评价指标及影响因素

构建大学教师国际学术影响力的三维评价指标和量表,对中国37所“双一流”大学教师进行了国际学术影响力抽样调查和测评。通过结构方程模型方法,拟合验证了所构建的大学教师国际学术影响力的三维结构,即国际人才培养、国际科学研究和国际社会服务。研究结果表明,大学教师的国际学术影响力平均水平偏低,存在较大的个体差异,同时,还会受到大学教师的学科领域、职称、访学时长、访学次数等因素的显著影响。

国家自主创新示范区设立与服务贸易高质量发展

自主创新是实现企业高质量发展、提升国际竞争力的必由之路。基于1997—2021年中国省级数据,使用合成控制法和双重差分法实证分析了国家自主创新示范区设立对服务贸易高质量发展的影响及其机制。研究发现,国家自主创新示范区设立能显著促进服务贸易高质量发展,且通过技术创新和产业结构升级促进了服务贸易高质量发展。异质性分析发现,相较于中西部地区,国家自主创新示范区设立对服务贸易高质量发展的促进作用在东部地区更大。因此,中国应继续鼓励国家自主创新示范区扩围发展,加快科技成果转化,中西部地区要大力发展科技服务业,以促进服务贸易高质量发展。

服务业高质量发展对城乡收入差距的影响与机制

服务业高质量发展有助于农村劳动力就业、扩大农民收入来源。促进现代服务业高质量发展是缩减城乡收入差距、推进共同富裕的重要路径。基于1997—2021年我国30个省份(未含香港地区、澳门地区、台湾地区、西藏地区)数据,使用合成控制法、双重差分模型和三重差分模型分析服务业高质量发展对城乡收入差距的影响及其机制。研究发现,服务业高质量发展有助于缩减城乡收入差距,且这种缩减作用在北京、上海最强,在江苏、天津、浙江次之,在广东最弱;服务业高质量发展对东部、中部和西部地区城乡收入差距的缩减作用均显著,但在中部地区最强,在东部和西部地区较弱;绿色发展和区域协调发展在服务业高质量发展对城乡收入差距的影响中发挥正向调节作用,服务业高质量发展对城乡收入差距的缩减作用在绿色发展水平较高、区域协调发展水平较高的省份更强;服务业高质量发展能够通过产业结构升级(包括产业结构高级化、产业结构合理化)缩减城乡收入差距。为进一步发挥服务业高质量发展对城乡收入差距的缩减作用,应持续加强服务创新,推动服务业高质量发展;发挥区域比较优势,推动区域协调发展;引导绿色消费和生产,提升绿色发展水平;推动现代服务业和新兴产业发展,促进产业结构升级。

双循环推动高质量就业的传导路径和作用机制——基于结构方程模型的多重中介效应检验

随着新时期我国社会发展主要矛盾的深刻变化,高质量就业成为立足新发展阶段、贯彻新发展理念、构建新发展格局、推进高质量发展的重要抓手。基于《中国统计年鉴》和中国劳动力动态调查2012—2018年四期面板数据,利用结构方程模型(SEM)分析了双循环影响我国高质量就业的传导路径及作用机制。研究发现:内、外循环之间的协调互动可以显著促进高质量就业,其效应贡献率为45.15%;双循环所带来的技术进步、产业结构升级、人力资本积累是推动高质量就业的重要渠道,其效应贡献率为54.85%,其中,技术进步发挥的中介效应最强,贡献率为32.56%,产业结构升级和人力资本积累的贡献率分别为4.84%和5.89%。因此我国要充分依托国内超大规模市场优势,继续推动高水平对外开放,提升双循环的互动水平。同时充分发挥技术进步的“牵引器”、产业结构升级的“助推器”以及人力资本积累的“支撑轴”作用,从政策上支持我国在加快构建双循环新发展格局中更好地同步推动高质量就业。