Study on the Key Elements of Chinese Enterprises' Management Innovation Based on the Principal Component Analysis

2014 ◽  
Vol 556-562 ◽  
pp. 6453-6457
Author(s):  
Lu Liu ◽  
Xiao Bing Pei
Keyword(s):  
Principal Component Analysis ◽  
Performance Management ◽  
Production Management ◽  
Process Management ◽  
Principal Component ◽  
Component Analysis ◽  
Enterprise Management ◽  
Management Innovation ◽  
Key Factors ◽  
Management Method

In order to identify the key factors influencing the development of China's enterprise management innovation and study the interaction between them. 23 factors concerning management innovation are analyzed with the method of principal component analysis on the basis of the former research. The analytical results show that enterprise supply chain management method, enterprise field management method, enterprise performance management method, enterprise quality management, enterprise production management, enterprise process management are the key factors in management innovation. Paying more attention on the key factors helps to capture the principal contradiction, and to improve the efficiency of the analysis on enterprise management innovation.

Tobacco Enterprise Logistics Performance Evaluation Based on Principal Component Analysis

2021 ◽  
Vol 7 (5) ◽  
pp. 2445-2453
Author(s):  
Fan Yuqing ◽  
Song Zhigang ◽  
Gao Honghu
Keyword(s):  
Principal Component Analysis ◽  
Performance Evaluation ◽  
Principal Component ◽  
Component Analysis ◽  
Performance Level ◽  
Logistics Management ◽  
Enterprise Management ◽  
Management Performance ◽  
Performance Evaluation Index ◽  
Enterprise Logistics

Objectives: Tobacco logistics matters greatly in the development of the tobacco industry. Logistics performance evaluation is a sub-part of tobacco enterprise management performance evaluation. The in-depth study of logistics performance evaluation can form a more comprehensive enterprise management performance evaluation system, and provide logistics management tools such as control, diagnosis and coordination for enterprise logistics management. Methods: In this paper, a tobacco enterprise logistics performance evaluation index system is constructed from six aspects, including transportation, warehousing, inventory management, informatization, customer service and finance. A tobacco enterprise logistics performance evaluation method based on principal component analysis is put forward. Results: Through calculation, the comprehensive evaluation value of tobacco logistics performance of enterprises X in each year is obtained. The enterprise logistics performance is the worst in 2016. The enterprise logistics performance is the best in 2019. It indicates that the logistics level and ability of tobacco enterprises are improving year by year. Conclusion: Seen from the example, the principal component analysis method can be used to properly evaluate the logistics performance level of tobacco enterprises, and provide objective and quantitative reference data for tobacco enterprises to improve their logistics performance level and benefits.

Development of a New Tool for Managing Performance Nutrition: The Athlete Food Choice Questionnaire

2019 ◽  
Vol 29 (6) ◽  
pp. 620-627 ◽  
Author(s):  
Rachael L. Thurecht ◽  
Fiona E. Pelly
Keyword(s):  
Principal Component Analysis ◽  
Nutrition Education ◽  
Food Choice ◽  
Weight Control ◽  
Principal Component ◽  
Component Analysis ◽  
Key Factors ◽  
Dietary Interventions ◽  
Frequency Scale ◽  
The Individual

This study aimed to develop and refine an Athlete Food Choice Questionnaire (AFCQ) to determine the key factors influencing food choice in an international cohort of athletes. A questionnaire that contained 84 items on a 5-point frequency scale was developed for this study. Athletes at the 2017 Universiade, in Taiwan, were invited to participate. Principal component analysis was utilized to identify key factors and to refine the questionnaire. Completed questionnaires were received from 156 athletes from 31 countries and 17 sports. The principal component analysis extracted 36 items organized into nine factors explaining 68.0% of variation. The nine factors were as follows: nutritional attributes of the food, emotional influences, food and health awareness, influence of others, usual eating practices, weight control, food values and beliefs, sensory appeal, and performance. The overall Kaiser–Meyer–Olkin measure was 0.75, the Bartlett test of sphericity was statistically significant, χ2(666) =2,536.50, p < .001, and all of the communalities remained >0.5. Intercorrelations were detected between performance and both nutritional attributes of the food and weight control. The price of food, convenience, and situational influences did not form part of the factorial structure. This research resulted in an AFCQ that includes factors specific to athletic performance and the sporting environment. The AFCQ will enable researchers and sports dietitians to better tailor nutrition education and dietary interventions to suit the individual or team. The next phase will test the accuracy and reliability of the AFCQ both during and outside of competition. The AFCQ is a useful tool to assist with management of performance nutrition for athletes.

Comprehensive Evaluation of the Level of Consumption Based on Principal Component Analysis and Cluster Analysis

2013 ◽  
Vol 756-759 ◽  
pp. 3079-3083
Author(s):  
Wei Wei Chen ◽  
Yun Ning Zhang
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Comprehensive Evaluation ◽  
Principal Component ◽  
Component Analysis ◽  
Key Factors ◽  
Consumer Spending ◽  
Accurate Analysis ◽  
Principal Component Model ◽  
And Cluster Analysis

The residents' consuming level of the various provinces in China is not balanced, so accurate analysis of the various provinces and cities in China's consumer spending and identifying the key factors that affect the level of consuming are beneficial for the promotion of the construction of the country's overall development. The paper used principal component analysis, established a comprehensive evaluation of the principal component model, and combined cluster analysis with the analysis of the differences in consumption of the different regions of China. Finally, the paper carried on a comprehensive evaluation of the 31 provinces and cities in the level of consumption and offered a proposal for the evaluation results.

Key Factors Analysis of Port Logistics Development Based on Principal Component Analysis

2012 ◽  
Vol 253-255 ◽  
pp. 1522-1526
Author(s):  
Shou Wen Ji ◽  
Ling Shan Zhao
Keyword(s):  
Principal Component Analysis ◽  
Condition Factor ◽  
Principal Component ◽  
Component Analysis ◽  
Key Factors ◽  
Factors Affecting ◽  
Factors Analysis ◽  
Port Logistics ◽  
Spss Software

The factors affecting the modern port logistics development have become more numerous and complex, which is hard to verify the key factors. Principal component analysis which is short for PCA is used to analyze these factors, aiming at finding out the key factors of them. Lianyungang Port was chosen for case study, and nine factors were selected to analyze. By applying PCA, combined with expert scoring and SPSS software, the cumulative contribution rate could be calculated and the principal component was determined. At last the infrastructure factor, collecting and distributing condition factor, information factor and policy factor are found out as key factors. It provides a basis for Lianyungang Port’s planning and policy-making.

scholarly journals Low-carbon Development of Urban Logistics Based on Principal Component Analysis —A Case Study of Lanzhou City

2016 ◽  
Vol 8 (1) ◽  
pp. 73 ◽  
Author(s):  
Huifang Bai ◽  
Kedong Tan ◽  
Kaishun Huang ◽  
Qian Guo
Keyword(s):  
Principal Component Analysis ◽  
Carbon Emission ◽  
Principal Component ◽  
Component Analysis ◽  
Low Carbon ◽  
Key Factors ◽  
Low Carbon Economy ◽  
Lanzhou City ◽  
The Impact

The Low-carbon economy is a sustainable economic model advocated by many countries all over the world. Urban logistics, as an important source of urban environmental pollution, is in an urgent demand for the development. This paper takes Lanzhou City as the research object to find out the key factors of urban logistics carbon emissions through the construction of carbon emission index system, the principal component analysis of the impact indicators from 2005 to 2014. And by evaluating the carbon emission level of logistics in Lanzhou City, it provides the corresponding solutions for the low carbon logistics development in Lanzhou City.

A German version of the Intermittent Claudication Questionnaire (ICQ): cultural adaptation and validation

VASA ◽  
2012 ◽  
Vol 41 (5) ◽  
pp. 333-342 ◽  
Author(s):  
Kirchberger ◽  
Finger ◽  
Müller-Bühl
Keyword(s):  
Principal Component Analysis ◽  
Intermittent Claudication ◽  
Completion Time ◽  
Short Form ◽  
Principal Component ◽  
Component Analysis ◽  
German Version ◽  
Average Completion Time ◽  
Sf 36 ◽  
Related Quality

Background: The Intermittent Claudication Questionnaire (ICQ) is a short questionnaire for the assessment of health-related quality of life (HRQOL) in patients with intermittent claudication (IC). The objective of this study was to translate the ICQ into German and to investigate the psychometric properties of the German ICQ version in patients with IC. Patients and methods: The original English version was translated using a forward-backward method. The resulting German version was reviewed by the author of the original version and an experienced clinician. Finally, it was tested for clarity with 5 German patients with IC. A sample of 81 patients were administered the German ICQ. The sample consisted of 58.0 % male patients with a median age of 71 years and a median IC duration of 36 months. Test of feasibility included completeness of questionnaires, completion time, and ratings of clarity, length and relevance. Reliability was assessed through a retest in 13 patients at 14 days, and analysis of Cronbach’s alpha for internal consistency. Construct validity was investigated using principal component analysis. Concurrent validity was assessed by correlating the ICQ scores with the Short Form 36 Health Survey (SF-36) as well as clinical measures. Results: The ICQ was completely filled in by 73 subjects (90.1 %) with an average completion time of 6.3 minutes. Cronbach’s alpha coefficient reached 0.75. Intra-class correlation for test-retest reliability was r = 0.88. Principal component analysis resulted in a 3 factor solution. The first factor explained 51.5 of the total variation and all items had loadings of at least 0.65 on it. The ICQ was significantly associated with the SF-36 and treadmill-walking distances whereas no association was found for resting ABPI. Conclusions: The German version of the ICQ demonstrated good feasibility, satisfactory reliability and good validity. Responsiveness should be investigated in further validation studies.

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