Comprehensive Evaluation of Urban Sustainable Innovation Ability Based on Factor Analysis Method

Author(s):  
Xin-Nan Li ◽  
Liang-Jie Zhang ◽  
Huan Chen ◽  
Chun-Xiao Xing
2013 ◽  
Vol 401-403 ◽  
pp. 2247-2251
Author(s):  
Zhi Hong Lin ◽  
Ting Ting Guo

Financial index of listed companies is the key to understanding and evaluating the company's financial quality. This article introduces the method of factor analysis in comprehensive evaluation of financial quality, uses SPSS software for a comprehensive evaluation of electrical machinery and equipment manufacturing industry 10 listed companies financial quality, in order to provide support for investors and managers to make investment decisions and management decision.


2016 ◽  
Vol 858 ◽  
pp. 262-266
Author(s):  
Yuan Yuan Zhou ◽  
Wang Da Zhu

This paper investigated and determined the subjective evaluation indicators of comfort in lighting environment for elderly in nursing institutions. Factor analysis method was utilized and the result showed that the recognition of space and figures, sense of security from even illumination, convenience of switch control and no glare were the main factors. The conclusion of the study was not only used to evaluate the lighting environment quality, but also used to guide the design of lighting environment in nursing institutions.


2012 ◽  
Vol 170-173 ◽  
pp. 2292-2297
Author(s):  
Jiao Zhang

The application of analytical hierarchy process (AHP) to the risk analysis of port construction project was investigated. Firstly, the happening probabilities of various risk factors during port construction were calculated. Secondly, the aftereffects of the risks were concluded by consulting the experts. Thirdly, the weight of each risk factor was obtained by AHP. Finally, the total risk of port construction project could be evaluated by fuzzy comprehensive evaluation. This risk analysis method was applied to evaluate the total risk of a real port construction project, and the exemplification verified its feasibility.


2019 ◽  
Vol 15 (5) ◽  
pp. 573-596 ◽  
Author(s):  
Sita deliyana Firmialy ◽  
Yunieta Anny Nainggolan

Purpose This study aims to focus on developing the sustainability reporting index (SRI) with combined perspectives from varied social rating agencies, along with integrated combined perspectives from academics experts and Indonesian companies. Design/methodology/approach The first section discusses the theoretical framework along with the sustainability challenges faced by companies in Indonesia. The second section develops the methodology of the study to measure the SRI by considering practical and theoretical perspectives, starting from the identification of initial disclosure, selecting the final disclosure and developing the hierarchical framework. Lastly, the third section confirms the validity of the study’s framework by the exploratory factor analysis method and its comparability by comparing the content analysis result of the study with the Kinder–Lydenberg–Domini (KLD) method. The content analysis was used to analyze annual reports, sustainability reports and companies’ websites based on indicators found in the resulted model. Findings The main finding is the SRI framework (SRIF) of the study, which is built on the basis of the stakeholder relationship theory and is focused on three main dimensions (social, economic and environmental). Specifically, the framework consists of 17 indicators and 93 sub-indicators. On the basis of factor analysis method, it can be safely said that the study’s SRIF is quite valid. The high score of correlations between the SRIF and KLD results at the composite and dimension levels, along with the statistically significant results show that the study’s SRIF results and KLD results are fairly similar. Research limitations/implications The present study has its limitation as it only gathers data from publicly available reports issued by the firms (secondary data). Owing to time limitation, primary data are not collected. However, this is also the strength of this research as it will allow investors to replicate the study’s methodology to measure companies’ sustainability. Practical implications The study is useful to organizations and statutory bodies toward finding a replicable method to measure the Indonesian companies’ social performance. In addition, the study also introduced the usefulness of the qualitative program Atlas TI to perform content analysis, the exploratory factor analysis method to ensure validity and comparability by comparing it to the KLD methodology, which is known globally as the most widely accepted methodology to measures social performance. Lastly, this study will provide implications to the Government to ascertain the level of SRI reporting among the Indonesian public-listed companies. Originality/value The resulted framework in this study simultaneously considers social, environmental and economic factors in the context of companies in Indonesia, while previous researchers have constructed reporting index separately (i.e. Sumiani et al., 2007; Zhao et al., 2012). Especially in the context of Indonesia, there is no such index simultaneously focused on the three main dimensions, namely, social, environmental and economics. The current study tries to fill the gap by using the constructed SRI index based on three perspectives combined, namely, social rating agencies, academic theorist and Indonesian companies.


Online grocery retail services are a new trend in Indian urban cities. The two large players namely Grofersand Big Basket attracting customers. The study is an attempt to understand the changing scenario in grocery retail sector. The prime objective of the study is to explore the factors that are attracting customers to choose e retail for Groceries. The data was collected through questionnaire from 100 respondents. Factor analysis (Principle Component Analysis method) was used to explore the influencing factors. These results have shown that mainly customer service, convenience, loyalty rewards, product vailability and payment options are attracting the customers to choose Grophers and Big Basket. These companies have a huge untapped markets and will easily convert the habits of customers in Urban areas.


Author(s):  
Serhii Zabolotnii ◽  
Artem Honcharov ◽  
Sergii Mogilei

The paper regards a specific class of optimization criteria that possess features of probability. Therefore, constructing objective function of optimization problem, the importance is attached to probability indices that show the probability of some criterial event or events to occur. Factor analysis has been taken for the main method of constructing objective function. Algorithm for constructing objective function of optimization is done for criterion of minimization risk level in multimodal transportations that demanded demonstration data. The application of factor analysis in classical problem solution was shown to give the problem a more distinct analytical interpretation in solving it.


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