Study on the Relationship between the Traffic Characteristics and Speed at the Access of Urban Tunnels

2015 ◽  
Vol 743 ◽  
pp. 568-574
Author(s):  
Xiao Dan Xu ◽  
Li Lin

The present work sought to extract and quantify the factors influencing the speed at the access of the urban tunnels by factor analysis method and then found out that the principle factors influencing operating speed were cart ratio, mean time headway, brightness difference between inside and outside of the cave. Finally through the SPSS statistics software and on the base of analysis of multi-line regression, the prediction model of operating speed was established.

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.


2018 ◽  
Vol 48 (3) ◽  
pp. 41-52
Author(s):  
Marta Juchnowicz ◽  
Hanna Kinowska

Although the large body of literature suggests the importance of fair compensation, the understanding of the nature of remuneration justice remains limited. The paper fills the gap by combining the three streams in the research: diversified definitions of justice in management sciences, philosophy and ethics, theory of organizational justice and research on employee engagement. Based on theoretical assumptions, a remuneration justice as-sessment model was developed. The evaluation of the remuneration fairness depends on three dimensions: perception of the features of the remuneration system, employees’ convictions regarding the legitimacy of pay differentiation and work needs. The hypothe-sised model was tested on a representative sample of 1,067 working Poles. This research has used SEM-PLS approach including exploratory factor analysis. The find-ings carry theoretical implications, since they extend the research and refine the essence of remuneration justice. From a practical perspective, the relationship between the three predictors – system, beliefs and needs – provide a proof on how remuneration justice is composed and how it could be developed.


2021 ◽  
Vol 9 (E) ◽  
pp. 1300-1306
Author(s):  
Agustina Setyaningsih ◽  
Kemal N Siregar

AIM: This study aims to identify psychological factors against vaccine rejection in Indonesia. The study also provides a review of the group of different factors on psychological factors in social media. METHODS: This study uses secondary data sourced from Facebook, Twitter, YouTube and Instagram about vaccines rejection from 2018 to 2019. That text is labeled based on seven psychological factors that influence vaccine rejection. The factor analysis method is used to determine the relationship between vaccine rejection and psychological factors. RESULTS: Dimension 1 focused on individual and group influences, where the correlation value between factors such as vaccine misinformation, health worker trust, perception of side effect is 0.906 (>0.5). Dimension 2 used different factors such as trust in the goverment, negative opinion about vaccine efficacy, and social influence as contextual/environmental influencers,with a correlation value of 0.866 (>0.5). Meanwhile, Dimension 3 with general perception is a factor in vaccine and vaccination specific problems with a correlation value of 0.940 (>0.5). CONCLUSION: Psychological factors are mainly associated with vaccine rejection. Stakeholders need to observe these factors in identifying conditions for childhood vaccines rejection posted on social media in Indonesia.


2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Li Ma ◽  
Xingping Lai ◽  
Jianguo Zhang ◽  
Shuangshuang Xiao ◽  
Leiming Zhang ◽  
...  

During the research on bench deep-hole blast casting, the blast-casting parameters are directly related to the blast-casting results, so it could reveal the mechanism for improving the effect thereof. Based on the principle of the plane charge method, both the stress wave and detonation gas were considered to affect rock fragmentation and casting, a model of overburden fragmentation and casting process around the blasting hole was established, and bench deep-hole blast-casting behaviours were elucidated. By using the Factor Analysis Method (FAM), a correlation analysis model of factors influencing blast-casting results was built. The results proved that powder factor (or specific charge) ranked first in terms of its influence, followed by hole spacing, minimum resistance line, burden, and bench height. The formulae for calculating the limit powder factor value and the spacing of blasting holes were derived for different rock properties. The results showed that the optimum hole spacing was no more than 12.49 m and the powder factor was no more than 0.75 kg/m3, and it proved that an effective casting percentage (ECP) of 34% could be realized.


2020 ◽  
Author(s):  
Erstu Tarko

Abstract The main purpose of this study is to investigate factors that influencing taxpayers to engage in tax evasion. The researcher used descriptive and explanatory research design and has been followed by a quantitative research approach. The data was collected by dispatching self-administered questionnaires. After data collection has been performed, exploratory factor analysis (EFA) was conducted. EFA results showed that the Kaiser-Mayer Olkin result 0.883 and the Bartlett test of 0.00 is suitable for the analysis. The data were analyzed with the Promax rotation method and extracted by the principal component analysis extraction method. All six factors were statistically significant for factor analysis. The explained variance of the first factor was 31.782%, the second factor explained 11.74% of the variance, the third factor explained 8.25% of the variance, the fourth factor explained 6.72% of the variance and the fifth factor explained 5.23% of the variance and the six-factor explained 4.12% of the variance. The extracted factors explained 67.84% of the variation of factors influencing taxpayers engaged in tax evasion. The finding of the study indicates that the relationship between the study variables was positive and statistically significant. The regression analysis also indicates that tax fairness, tax knowledge, and moral obligation significantly influence taxpayers to engage in tax evasion, and the remaining moral obligation and subjective norms were not statistically significant to influence taxpayers to engage in tax evasion.


2021 ◽  
Vol 10 (2) ◽  
pp. 321
Author(s):  
Lesia Kucher ◽  
Svіatoslav Knіaz ◽  
Olena Pavlenko ◽  
Olesya Holovina ◽  
Oksana Shayda ◽  
...  

The purpose of the study is to improve the methodological approach to taking into account critical factors for the development of entrepreneurial initiatives in agribusiness. To achieve this goal, it is necessary to: identify factors influencing the development of entrepreneurial initiatives in agribusiness; perform classification and analysis of factors in order to identify those that are critical for the development of entrepreneurial initiatives in agribusiness; specify the stages of the methodological approach to taking into account critical factors for the development of entrepreneurial initiatives in agribusiness. It is argued that entropy in the agribusiness environment can be caused by the fact that when forming decisions related to the development of entrepreneurial initiatives, the relationship between critical factors and their nature is not taken into account. It is proved that critical for the development of entrepreneurial initiatives in agribusiness are factors that are related to each other both on the basis of similarity of structure and on the basis of similarity of values that characterize these factors. It is argued that entrepreneurial initiatives in agribusiness should be based on in-depth factor analysis, the results of which exclude fluctuations in the implementation of these initiatives and prevent entropy.


2014 ◽  
Vol 9 (2) ◽  
pp. 99
Author(s):  
Maria Pampa Kumalaningrum ◽  
Rahmat Purbandono

Dynamic capabilities are regarded as a strategic premise to creating, maintaining and upgrading sustainable competitiveness. Considering organizational learning as a mediator variable, this study tests the relationship between entrepreneurial capabilities and dynamic capabilities. More specifically, the factor analysis method was employed to verify that dynamic capabilities are comprised of four dimensions, i.e. environmental sensing capabilities, change and renewal capabilities, technological and organizational flexibility capabilities. The research used UMKM in Yogyakarta and Solo as research sample. It was found that entrepreneurial capabilities has a significantly positive effect on dynamic capabilities, while organizational learning, which has significantly positive effect on dynamic capabilities, plays a partial mediating role between the two. These findings indicate that companies can build dynamic capabilities through different levels of organizational learning in the context of innovative and proactive atmosphere. Keywords: Entrepreneurial Capabilities, Organizational Learning, Dynamic Capabilities,


2020 ◽  
pp. 208-219
Author(s):  
O. Tilmak

At the present stage of investigative activities modernization, there is a need to improve the methodological support of pre-trial investigation of criminal offenses. The investigating authorities of the pre-trial investigation of the National Police of Ukraine have a large number of methods in their arsenal; however, there are methods that have not found a theoretical and methodological justification and description. Among these methods the method of factual analysis it should be highlighted. The author considers the factual analysis as a method of extracting facts (or individual elements, parts, parts of factual data) from an array of criminal offense data for their further aggregation (holistic association) and establishing the degree of evidence. The article deals with an algorithm for applying the method of factual analysis during the pre-trial investigation of criminal offenses. It is determined the main tasks and the main conditions for their quality solution at the preparatory, main and final stages of the implementation of the method. It is noted that in the general context, the algorithm for the implementation of the method of methodological analysis occurs in five interrelated areas of activity of subjects of pre-trial investigation, namely: search-forming, primary factor analysis, program and factographic, presentation and secondary factor analysis. It is noted that during the pre-trial investigation of a criminal offense, the application of the method of factual analysis will allow: 1) to clarify the components (parts, segments, elements) of the actual data due to the multidimensional presentation of logical connections; 2) to identify the components (parts, segments, elements) associated with a criminal offense; 3) to identify the relationship between the components (parts, segments, elements) of the actual data; 4) to identify various non-obvious (hidden) connections and graphically interpret the degree of intensity of these connections; 5) to investigate the internal structure of the components (parts, parts, elements) of the actual data; 6) graphically represent the relationship between the various components (parts, segments, elements) of the actual data; 7) conduct multidimensional comparisons of components (parts, parts, elements) – from two to four; 8) to identify the relationships of individual factors that have causal relationships; 9) to systematize a large array of data and their components (parts, parts, elements), etc. Therefore, the expected results from the process of applying the method of factual analysis is that it will contribute to the factual proof that the available body of evidence about the facts and circumstances of the criminal offense are appropriate, permissible and reliable evidence; interconnected and sufficient to make an appropriate procedural decision.


2011 ◽  
Vol 50-51 ◽  
pp. 973-976
Author(s):  
Su Feng Yin ◽  
Jian Hui Wu ◽  
Xiao Jing Wang ◽  
Sha Li

Case records of inpatients in a hospital in Tangshan in 2007 and 2008 are chosen for factor analysis. This paper aims at finding the latent factors influencing inpatients' medical expense. By analysing the factors which controlling and influencing inpatients' medical expense, the practical value of factor analysis in the study of medical expense is evaluated, and an analysis method in line with the structure of hospital medical expenses and its characteristics is tentatively explored. The paper comes to the conclusion that the factor of basic expense, the operation factor and the examination factor are the common factors which control and influence inpantients' medical expense. It is implied that factor analysis is a proper method used in research of hospital medical expenses.


Author(s):  
Junko Yamashita

Demotivation can negatively influence the learner’s attitudes and behaviors, and result in negative learning outcomes. This paper investigates factors contributing to demotivation in learning Japanese as a foreign language in Indonesia, and the relationship between demotivating factors and present proficiencies. A seventeen-item questionnaire was completed by 157 Indonesian university students. As the result of exploratory factor analysis, questionnaire items consequently grouped to four categories: Course difficulty, Speaking anxiety, Devalued learning, and Boredom.The validity of the four-factor structure was verified by the confirmatory factor analysis method. In addition, two-way ANOVA was performed to investigate the relationship between demotivational factors and proficiency level. As a result, statistically significant differences were found between Low and High groups in all the factors, and between Middle and High groups in the factors expect for Devalued learning. In addition, the scores of Speaking anxiety and Boredom consistently scored the highest among the four factors. However, the degree of demotivation was decreased as the learners’ Japanese proficiency improved. Findings from this study indicated that teachers should strive to make classes not only less anxious but also more interesting. Moreover, teachers should scaffold learners, especially low proficient beginners to prevent or minimize their demotivation.


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