A Study on Organizational Performance and Performance Evaluation Based on Principal Component Analysis and Structural Equation Model

2016 ◽  
Vol 22 (11) ◽  
pp. 3700-3703
Author(s):  
Seongchul Park ◽  
Miyoung Jeong ◽  
Juntae Kim
2019 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Atika Atika ◽  
Basri Modding ◽  
Baharuddin Sammaila ◽  
Hamzah Hafied

<p>The apparatus performance is a fundamental problem affecting the organizational performance of West Sulawesi Province Government. Many factors affect it, both individual characteristics and organizational, especially commitment, leadership, compensation and job satisfaction. This study analyzes the effect of organizational commitment, leadership and compensation on job satisfaction and the impact on apparatus performance. The study was conducted on 358 respondents of Government apparatus in West Sulawesi Province. The data was collected by five point Likert scale and analyzed by Structural Equation Model (SEM). The study results found that commitment and leadership affect on job satisfaction and apparatus performance. While compensation only affects job satisfaction and does not affect on performance apparatus.</p>


2021 ◽  
Vol 7 (5) ◽  
pp. 2445-2453
Author(s):  
Fan Yuqing ◽  
Song Zhigang ◽  
Gao Honghu

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.


2018 ◽  
Vol 64 (4) ◽  
pp. 133
Author(s):  
María Verónica Alderete

<p>The role Information and Communication Technologies (ICT) play in achieving a better organizational performance still needs further analysis among small and medium sized enterprises (SME) from developing countries. This study aims to extend the empirical literature on the relationship between ICT, electronic commerce and SME performance in developing countries. To achieve this goal, we employ a sample of 87 manufacturing firms from the city of Bahía Blanca, Argentina in the year 2015. By estimating a structural equation model, we obtain that electronic commerce adoption has a positive and significant influence on SME sales which is reinforced by the level of ICT use. Other organizational factors such as firm size and public programs explain performance, but are not significant predictors of the electronic commerce adoption. <strong></strong></p>


2005 ◽  
Vol 26 (1) ◽  
pp. 73-85 ◽  
Author(s):  
Philip Withers ◽  
Graham Thompson

AbstractFor 41 species of Western Australian agamid lizards, we found that most appendage lengths vary isometrically, so shape is largely independent of size. Of the three methods we used to quantitatively remove the effects of size on shape, the two that use principal component analysis (PCA; Jolicoeur, 1963; Somers, 1986; 1989) provided similar results, whereas regression residuals (against body length) provided a different interpretation. Somers' size-free PCA approach to remove the size-effects was the most useful because it provided 'size-free' scores for each species that were further analysed using other techniques, and its results seemed more biologically meaningful. Some, but not all, of the variation in size-free shape for these lizards could be related to phylogeny, retreat choice and performance traits.


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