scholarly journals Evaluation of WeMedia Ads Marketing Based on the Demand of Internet Economy

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Zhuo Bian
Keyword(s):  
Evaluation Model ◽  
Descriptive Analysis ◽  
Evaluation Index System ◽  
Quality Monitoring ◽  
Factors Affecting ◽  
Marketing Model ◽  
Marketing Models ◽  
Confirmatory Factor ◽  
Internet Economy ◽  
Quantitative Results

To fully understand the root causes for consumer’s trust and preference of we-media marketing, it is important to explore deep into the features and superiorities of the marketing model of we-media marketing platforms, as well as the factors affecting the profit-making of the model. The existing studies on WeMedia ads marketing at home and abroad are mostly descriptive analysis on the relevant concepts, the importance of WeMedia ads marketing, product quality monitoring, and the reasonability of marketing models. There is a lack of quantitative results on deeper layers. To make up for the gap, this paper explores the evaluation of WeMedia ads marketing based on the demand of Internet economy. Firstly, an evaluation index system (EIS) was established for WeMedia ads marketing, and the weight of each index was determined in turn. Then, the authors created an evaluation model, carried out the corresponding confirmatory factor analysis (CFA), and verified the model through the degree of fit verification. Experimental results confirm the correctness and effectiveness of the constructed model. The results provide a reference for the evaluation of other marketing models.

scholarly journals Influencing Factors and Evaluation Model of Quality Risks in Intelligent Manufacturing Mobile Supply Chain

2020 ◽  
Vol 53 (6) ◽  
pp. 953-961
Author(s):  
Yujie He
Keyword(s):  
Supply Chain ◽  
Influencing Factors ◽  
Time Management ◽  
Evaluation Model ◽  
Intelligent Manufacturing ◽  
Risk Identification ◽  
Evaluation Index System ◽  
Factors Affecting ◽  
Four Dimensions ◽  
Quality Risk

The intelligent manufacturing (IM) supply chain (SC) involves multiple distributed agents. The mobile supply chain (MSC) technology supports the real-time management of key information resources in the supply chain of IM products. This paper explores the influencing factors and evaluation model of quality risks in IM MSC, trying to make realistic evaluation of the actual quality risks of the enterprise. Firstly, the authors constructed a quality risk identification framework for IM MSC, and a hierarchical evaluation index system (EIS) based on the factors affecting quality risks. Besides, the features and attributes of four dimensions of quality risks were specified, and the corresponding intuitive triangular fuzzy numbers were given. Next, an evaluation model was established for the quality risks of IM MSC based on backpropagation neural network (BPNN). After the evaluation of quality risks, a contract model was designed for the quality risk control in IM MSC. The proposed EIS and models were proved effective through experiments.

scholarly journals Evaluation Model and Empirical Study on the Competitiveness of the County Silicon Crystal Industry

2019 ◽  
Vol 11 (19) ◽  
pp. 5360
Author(s):  
Pan ◽  
Peng ◽  
Peng ◽  
Zhang ◽  
Zeng ◽  
...  
Keyword(s):  
Crystalline Silicon ◽  
Evaluation Model ◽  
Silicon Crystal ◽  
Evaluation Index System ◽  
Policy Support ◽  
Added Value ◽  
The Sustainable Development ◽  
Factors Affecting ◽  
Four Dimensions ◽  
Resource Endowment

The silicon crystal industry is an emerging industry that uses silicon ore to obtain crystalline silicon and silicon micropower through processing. The China silicon crystal industry generally suffers from poor market supervision and low added-value products, which decreases the industry’s competitiveness and affects overall economic development. This study used the SWOT–PEST model to analyze the internal and external factors, constructed the county competitiveness evaluation index system with four dimensions and 20 variables, and used the gray correlation evaluation model to conduct empirical research on data on the competitiveness of the silicon crystal industry in Suichuan and in another three counties. Compared with the industrial competitiveness in the other three counties, the competitiveness in Suichuan County is still relatively low, but it has been increasing rapidly in recent years. The silicon crystal industry in Suichuan County has great advantages, such as resource endowment, energy, and policy support. The main factors affecting the competitiveness of the silicon crystal industry in Suichuan County are the number of brands, the situation of foreign exports, and the output of silicon products. Therefore, Suichuan County should adjust the silicon crystal industry based on these evaluation results to promote the sustainable development of this industry.

scholarly journals Evaluation and Analysis of a Method to Real-Name Check Train Tickets during the COVID-19 Pandemic

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Jiao Yao ◽  
Qingyun Tang ◽  
Jiaping He
Keyword(s):  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Propagation Path ◽  
Passenger Transport ◽  
Long Distance ◽  
Factors Affecting ◽  
Railway Passenger Transport ◽  
Railway Passenger ◽  
Countermeasures And Suggestions

COVID-19 has swept the world for more than one year. Public transport, especially railway passenger transport for long distance and extensive areas, is the most potential risk source of the pandemic. In railway passenger transport, real-name train ticket check can effectively track the propagation path of the pandemic, which is of most significance for spread prevention of COVID-19. In this study, the evaluation index system of real-name check of ticket in trains was first established, in which 22 indexes in 4 levels were included, and their weights were determined by the Method of Kantiray Weighting. Furthermore, a comprehensive evaluation model of real-name system check was proposed, in which normalized work of different indexes was done, and key factors affecting the evaluation were founded. Finally, typical data of 8 trains check were collected, and from the evaluation analysis, we can find out that most factors affecting results of real-name ticket check are attendant management, train organization level, train service, and real-name ticket check proportion, based on which corresponding countermeasures and suggestions are given oriented to short-, medium-, and long-distance trains, respectively, all of which can reduce the risk of pandemic propagation in railway system.

The Application of Fuzzy Analytic Hierarchy Process in Community Informatization Level Evaluation

2011 ◽  
Vol 291-294 ◽  
pp. 3429-3433
Author(s):  
Jian Jun Wu ◽  
Yong Wang ◽  
Qing Xie
Keyword(s):  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Paper Analysis ◽  
Evaluation Index System ◽  
Life Cycle Thinking ◽  
Application Process ◽  
Factors Affecting ◽  
Full Life Cycle ◽  
Community Evaluation ◽  
Hierarchy Process

Because of unscientific evaluation methods for the community infomatization level, the paper analysis various factors affecting the community infomatization level, according to the full life-cycle thinking for infomatization construction, establish the evaluation index system of the community infomatization level and use fuzzy analytical hierarchy process to build a evaluation model of the community infomatization level, which can help us to make an objective fair and accurate comprehensive evaluation for the community infomatization level, help to further development and improvement of community infomatization construction. Finally apply this model to a certain community evaluation of community infomatization level, and give the application process.

scholarly journals Fuzzy evaluation model of software project performance based on grey clustering analysis

2020 ◽  
Vol 9 (02) ◽  
Author(s):  
Wei Wang
Keyword(s):  
Performance Evaluation ◽  
Evaluation Model ◽  
Project Performance ◽  
Evaluation Index System ◽  
Software Project ◽  
Fuzzy Evaluation ◽  
Factors Affecting ◽  
Performance Evaluation Index ◽  
Project Characteristics ◽  
Software Project Performance

This paper introduces the general principles that should be followed in project performance evaluation: through the analysis of the main factors affecting software project performance evaluation, it provides a guiding principle for the construction of project performance evaluation index system including software project characteristics and project characteristics. The empirical study shows that the model can effectively evaluate software project performance and knowledge. It provides decision support information for software organizations to formulate risk aversion strategies, improve project performance level and other risk factors.

Comprehensive evaluation of kraft pulp properties from fast-growing woods

TAPPI Journal ◽  
2010 ◽  
Vol 9 (6) ◽  
pp. 34-39
Author(s):  
AIYU QU ◽  
YANHUI AO ◽  
JUN YAN ◽  
GUIGAN FANG
Keyword(s):  
Kraft Pulp ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Wood Cellulose ◽  
Fuzzy Matrix ◽  
Fast Growing ◽  
Pulp Properties ◽  
Evaluation Index Systems

To develop new wood cellulose resources and fast-growing pulpwood plantation fiber sources, it is very important to evaluate their pulping properties. A comprehensive multi-index pulping-suitability evaluation model is investigated in this paper by considering four fast-growing wood species. First, a new evaluation-index system for kraft pulp was developed based on traditional evaluation-index systems. Then, the membership degree of every index was analyzed to obtain a fuzzy matrix. The proportional contribution of each parameter to the main pulping properties could then be determined. Finally, a comprehensive evaluation model of kraft pulp properties was developed. The model is reliable compared with traditional assessment methods. The results confirmed the feasibility and rationality of developing new wood cellulose resources and fast-growing pulpwood plantations using fuzzy comprehensive evaluations.

Structural Model of Service Quality Factors Affecting Loyalty Sustainability

2020 ◽  
Vol 11 (2) ◽  
Author(s):  
Eman Al-erqi ◽  
◽  
Mohd Lizam Mohd Diah ◽  
Najmaddin Abo Mosali ◽  
◽  
...  
Keyword(s):  
International Students ◽  
Service Quality ◽  
Goodness Of Fit ◽  
Structural Model ◽  
Quality Factors ◽  
Factors Affecting ◽  
Measurement Models ◽  
Confirmatory Factor ◽  
The University ◽  
The Impact

This study seeks to address the impact of service quality affecting international student's satisfaction towards loyalty tothe Universiti Tun Hussein Onn Malaysia(UTHM). The aim of thestudy is to develop relationship between service quality factor and loyalty to the university from the international students’ perspectives. The study adopted quantitative approach where data was collected through questionnaire survey and analysed statistically. A total of 246 responses were received and found to be valid. The model was developed and analysed using AMOS-SEM software. Confirmatory factor analysis (CFA) function of the software was to assessed the measurement models and found that all the models achieved goodness of fit. Then path analysis function was used to assessed structural model and found that service qualityfactors have a significant effect on the students’ satisfaction and thus affecting the loyaltyto the university. Hopefully the outcome form this study will benefit the university in providing services especially to the international students.

Implementasi Manajemen Pengetahuan pada Perguruan Tinggi Swasta di Kabupaten Garut

2019 ◽  
Vol 22 (2) ◽  
Author(s):  
Hendarsita Amartiwi
Keyword(s):  
Knowledge Management ◽  
Private Higher Education ◽  
Survey Method ◽  
Unit Of Analysis ◽  
Factors Affecting ◽  
Confirmatory Factor ◽  
Research Findings ◽  
Survey Results ◽  
Use Of Knowledge ◽  
Descriptive Statistical Analysis

This study scrutinize the factors affecting knowledge management, consisting of acquisition of knowledge, storage of knowledge, distribution of knowledge and use of knowledge, at Private Higher Education Institutions in Garut Regency.  The purpose of this study is to analyze the factors shaping the knowledge management.  By using a survey method with a quantitative approach, the unit of analysis of this study is lecturer at 14 Private Universities in Garut Regency, with 229 lecturers as respondents. Data is obtained from survey results through questionnaires distributed directly to lecturers. Data is processed using descriptive statistical analysis and Confirmatory Factor Analysis (CFA). The research findings showed that the use of knowledge and the storage of knowledge are the most powerful factors in knowledge management, followed by the acquisition of knowledge, and distribution of knowledge.

scholarly journals Research on Utility Evaluation of Grid Investment considering Risk Preference of Decision-Makers

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Hongliang Wu ◽  
Daoxin Peng ◽  
Ling Wang
Keyword(s):  
Index System ◽  
Evaluation Model ◽  
Risk Preference ◽  
System Optimization ◽  
Decision Makers ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Risk Appetite ◽  
Utility Evaluation ◽  
The Index System

Effectiveness evaluations are one of the important ways to guide grid investment and to improve investment efficiency. Improving the effectiveness of grid investment evaluations is studied based on the optimization of the investment evaluation index system and the utility evaluation model. The index system is optimized by establishing an evaluation index system of grid investment effectiveness, considering the redundancy between the indices, and constructing an ISM-DEA model. The utility function model was introduced to fully consider the different risk appetites of decision-makers, and a utility evaluation model that takes risk appetite into account was established. An improved weight integration model based on multiobjective optimization was established by considering the minimum deviation and the trend-optimal objective function when setting the index weights. The calculation results show that the feasibility of the index system optimization model and utility evaluation model constructed in this study is verified under the premise of satisfying the assumptions. By adjusting the risk preference coefficient of decision-makers, the dynamic optimization of the grid investment utility evaluation results can be realized.

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