scholarly journals Evaluation of Factor Analysis Method in Prioritizing Flood in Northern Sub-basins of Alvand Hamedan

2019 ◽  
Vol 10 (20) ◽  
pp. 49-61
Author(s):  
Hadi Nazaripouya ◽  
Keyword(s):  
Factor Analysis ◽  
Analysis Method

Study on Subjective Evaluation of Comfort of Lighting Environment in Nursing Institutions

2016 ◽  
Vol 858 ◽  
pp. 262-266
Author(s):  
Yuan Yuan Zhou ◽  
Wang Da Zhu
Keyword(s):  
Factor Analysis ◽  
Subjective Evaluation ◽  
Analysis Method ◽  
Environment Quality ◽  
Switch Control ◽  
Sense Of Security ◽  
Lighting Environment ◽  
Main Factors

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.

Constructing the ideal SRI (sustainability reporting index) framework for Indonesian market: combined perspectives from rating agencies, academics, and practitioners

2019 ◽  
Vol 15 (5) ◽  
pp. 573-596 ◽  
Author(s):  
Sita deliyana Firmialy ◽  
Yunieta Anny Nainggolan
Keyword(s):  
Factor Analysis ◽  
Content Analysis ◽  
Exploratory Factor Analysis ◽  
Social Performance ◽  
Sustainability Reporting ◽  
Analysis Method ◽  
Content Type ◽  
Rating Agencies ◽  
Social Environmental ◽  
Social Rating

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.

scholarly journals Exploring Factors Influencing Customers Decision Making towards Online Grocery Retail Services in Kolkata

2020 ◽  
pp. 280-283
Keyword(s):  
Decision Making ◽  
Factor Analysis ◽  
Customer Service ◽  
Urban Areas ◽  
Retail Sector ◽  
Analysis Method ◽  
Factors Influencing ◽  
Service Convenience ◽  
Prime Objective ◽  
Retail Services

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.

scholarly journals FACTOR ANALYSIS METHOD APPLICATION FOR CONSTRUCTING OBJECTIVE FUNCTIONS OF OPTIMIZATION IN MULTIMODAL TRANSPORT PROBLEMS

2021 ◽  
Vol 11 (4) ◽  
pp. 28-31
Author(s):  
Serhii Zabolotnii ◽  
Artem Honcharov ◽  
Sergii Mogilei
Keyword(s):  
Factor Analysis ◽  
Objective Function ◽  
Classical Problem ◽  
Risk Level ◽  
Problem Solution ◽  
Specific Class ◽  
Analysis Method ◽  
Main Method ◽  
Multimodal Transport ◽  
Transport Problems

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.

scholarly journals FAKTOR-FAKTOR YANG MENENUTUKAN KONSUMEN DALAM MEMILIH CAFE CELEBES WALET 88 DI KOTA PALU

2020 ◽  
Vol 6 (1) ◽  
pp. 1-9
Author(s):  
Clara Oktaviani ◽  
Maskuri Sutomo ◽  
Farid Farid
Keyword(s):  
Factor Analysis ◽  
Data Analysis ◽  
Sampling Technique ◽  
Analysis Method ◽  
Data Analysis Method ◽  
Five Factors

The purpose of this study is to find out what factors determine consumers in choosing the 88 Celebes Walet  cafe  in  Palu  City.  Types  of  Explorative research,  namely research  carried  out  because  this study tries to explore information or problems that are relatively new. In this study researchers used a sample  of  72  respondents.  The  sampling  technique  used  in  this study  was  accidental  sampling.  The data  analysis  method used  in  this study  uses  factor  analysis.  The  results  of  this  study  indicate  that there are 5 (five) factors that determine consumers in choosing the 88 Celebes Walet cafe in Palu City. The five factors are factor 1, factor 2, factor 3, factor 4 and factor 5 which is the result of 18 variables analyzed.Tujuan  dari  penelitian  ini  yaitu  untuk  mengetahui  faktor-faktor  apa saja  yang  menentukan konsumen  dalam  memilih  cafe  Celebes Walet  88  di  Kota  Palu.  Jenis  penelitian Exploratif, yaitu penelitian yang dilakukan dikarenakan penelitian ini mencoba menggali informasi atau permasalahan yang relatif masih baru. Penelitian ini peneliti menggunakan sampel sebanyak 72 responden. Teknik penarikan sampel  yang  digunakan  dalam  penelitian  ini  adalah accidental  sampling. Metode  analisis data  yang  digunakan  dalam  penelitian  ini menggunakan  analisis  faktor.Hasil  penelitian  ini menunjukan bahwa terdapat 5 (lima) faktor yang menentukan konsumen dalam memilih cafe Celebes Walet 88 di Kota Palu. Kelima faktor tersebut adalah faktor 1, faktor 2, faktor 3, faktor 4 serta faktor 5 yang merupakan hasil dari 18 variabel yang dianalisis.

scholarly journals RELATIONSHIP BETWEEN SAFETY CULTURE AND THE SAFETY CLIMATE, SAFETY BEHAVIOR AND SAFETY MANAGEMENT

2021 ◽  
Vol 15 (2) ◽  
Author(s):  
Dian Palupi Restuputri ◽  
M Syahban Giraldi ◽  
Shanty Kusuma Dewi ◽  
Ilyas Masudin ◽  
Uci Yuliati
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Safety Culture ◽  
Management System ◽  
Safety Climate ◽  
Safety Management ◽  
Analysis Method ◽  
Safety Management System ◽  
Confirmatory Factor ◽  
Good Scale

This article aims to measure the application of occupational safety and health using Cooper's Reciprocal Safety Culture Model and Confirmatory Factor Analysis method.  The objective function of this article is to find out the aspects of safety culture that have been implemented by companies. A questionnaire was circulated to staff on the company's production floor as part of this study. The results of the questionnaire recapitulation were then analyzed using the confirmatory factor analysis method. Based on the score calculation results and the category determination build on the questionnaire scores on each dimension of the safety culture applied to the Steel Company, the safety climate value of 55.58 is obtained, which is on a 'quite good' scale. The safety behaviour value of 44, 89 is included on a 'quite good' scale, the safety management system value of 22.04 is on a 'poor' scale, and the safety culture value of 40.83 is on the 'quite good' scale. With these results, it is essential to make improvements to the safety culture in the company, especially in the dimensions of the safety management system, which is on the 'quite good' scale.

Financial Quality Evaluation of Listed Companies Based on Factor Analysis Method

2013 ◽  
Vol 401-403 ◽  
pp. 2247-2251
Author(s):  
Zhi Hong Lin ◽  
Ting Ting Guo
Keyword(s):  
Factor Analysis ◽  
Manufacturing Industry ◽  
Comprehensive Evaluation ◽  
Listed Companies ◽  
Management Decision ◽  
Analysis Method ◽  
Electrical Machinery ◽  
Financial Quality ◽  
Financial Index ◽  
Spss Software

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.

scholarly journals Data-driven integration evaluation from the perspective of Adaboost and its application in WeChat public number ranking

2020 ◽  
Vol 309 ◽  
pp. 02017
Author(s):  
Yicheng Gong ◽  
Juan Zhao ◽  
Dongyang Zhang
Keyword(s):  
Factor Analysis ◽  
Adaptive Learning ◽  
Evaluation Model ◽  
Complex Structure ◽  
Principal Component ◽  
Data Driven ◽  
Analysis Method ◽  
Topsis Method ◽  
Evaluation Models ◽  
Weak Evaluation

The traditional comprehensive evaluation is difficult to model when dealing with large data with large parameters and complex structure, and it cannot adapt to the update of data. In order to improve this situation, this paper draws on the Adaptive Learning Adaboost perspective in statistical learning to develop a data-driven integrated evaluation model that updates the weight of sample weights and weak evaluation models with data. Three specific weak evaluation models were selected: data-driven Topsis method, principal component analysis method and factor analysis method. Taking the ranking of WeChat public account as an example, the results show that the accuracy of the integrated evaluation model is 88.57%, which is 17.14%, 31.43% and 28.57% higher than the data-driven Topsis method, principal component method and factor analysis method.

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