scholarly journals The Influencing Factors of a Polycentric Employment System on Jobs-Housing Matching—A Case Study of Hangzhou, China

2019 ◽  
Vol 11 (20) ◽  
pp. 5752
Author(s):  
Juan Zhu ◽  
Xinyi Niu ◽  
Cheng Shi
Keyword(s):  
Influencing Factors ◽  
Threshold Value ◽  
Stepwise Multiple Regression ◽  
Employment System ◽  
Employment Density ◽  
Industrial Diversity ◽  
Employment Centers ◽  
The Relationship ◽  
Different Levels

This paper discusses the relationship between the polycentric spatial structure and jobs-housing matching and its influencing factors in the urbanized area of Hangzhou City in China. First, 42 employment centers are identified while using the method of the threshold value of employment density and employment to residence ratio based on the places of employment and residence that were identified from cellphone signaling data. This study found that Hangzhou have remarkable features of a polycentric system. Second, we use the jobs-housing matching rate index to measure the jobs-housing matching characteristics of employment centers. We found that the polycentric structure does not guarantee jobs-housing matching of all centers, although nearly half of the employment centers had good jobs-housing matching and 14.29% do not achieve jobs-housing matching, which indicates the uncertainty of “co-location hypothesis” in China. Employment centers of different levels, industry types, and locations also display certain regularity in their jobs-housing matching level. Third, by using correlation analysis and stepwise multiple regression analysis, we found that, besides the polycentric factor, the spatial and industrial factors also exert a certain effect on jobs-housing matching, reasonable control of the employment center size, employment to resident ratio, and industrial diversity are the determinants that affect the jobs-housing matching level.

scholarly journals From HRM to Employment Rules and Lifestyles. Theory Development through Qualitative Case Study Research into the Creative Industries

2009 ◽  
Vol 23 (2) ◽  
pp. 107-124 ◽  
Author(s):  
Axel Haunschild ◽  
Doris Ruth Eikhof
Keyword(s):  
Quantitative Research ◽  
Case Study Research ◽  
Theory Development ◽  
Data Interpretation ◽  
Creative Industries ◽  
Employment System ◽  
Theoretical Reasoning ◽  
Definition Of ◽  
The Relationship

In contrast to result-driven publications in which the academic narrative constructs the process of data analysis and the conceptual framework as purposefully designed and inevitably leading to the findings, this article will take a closer look at the concrete development of interpretative schemes and the openness of this process. We will do so by referring to an extensive empirical study of the German theatrical employment system. Following the course of our research project, the article will explicate and discuss (1) the decision for conducting qualitative rather than quantitative research, (2) the identification and definition of ‘what is the case’ and how this decision was influenced by ongoing data interpretation and changing and new theoretical inputs, and (3) the question of the generalisability of our findings. The main focus of the article, however, will be to explore the relationship between data and theory. We hope to encourage researchers to creatively use the inherent openness of data interpretation, and we argue that the freedom of qualitative research can only be used in a productive way if methodological decisions and data interpretations are driven by theoretical reasoning.

scholarly journals Post-Earthquake People Loss Evaluation Based on Seismic Multi-Level Hybrid Grid: A Case Study on Yushu Ms 7.1 Earthquake in China

2016 ◽  
Vol 8 (1) ◽  
Author(s):  
Xiaohong Yang ◽  
Zhong Xie ◽  
Feng Ling ◽  
Xiangang Luo ◽  
Ming Zhong
Keyword(s):  
Influencing Factors ◽  
Unit Area ◽  
Spatial Disparity ◽  
Evaluation Approach ◽  
Administrative Unit ◽  
Multi Level ◽  
The Government ◽  
Hybrid Grid ◽  
Different Levels

AbstractPeople loss is one of the most important information that the government concerns after an earthquake, because it affects appropriate rescue levels. However, existing evaluation methods often consider an entire stricken region as a whole assessment area but disregard the spatial disparity of influencing factors. As a consequence, results are inaccurately evaluated. In order to address this problem, this paper proposes a post-earthquake evaluation approach of people loss based on the seismic multi-level hybrid grid (SMHG). In SMHG, the whole area is divided into grids at different levels with various sizes. In this manner, the efficiency of data management is improved. With SMHG, disaster statistics can be easily counted under both the administrative unit and per unit area. The proposed approach was then applied to investigate Yushu M

scholarly journals Using conceptual modeling to improve genome data management

2020 ◽  
Author(s):  
Óscar Pastor ◽  
Ana Palacio León ◽  
José Fabián Román Reyes ◽  
Alberto Simón García ◽  
Juan Carlos Rodenas Casamayor
Keyword(s):  
Information Overload ◽  
Conceptual Modeling ◽  
Sequencing Technology ◽  
Risk Genes ◽  
Genome Data ◽  
Wrong Diagnosis ◽  
The Impact ◽  
The Relationship ◽  
Different Levels

Abstract With advances in genomic sequencing technology, a large amount of data is publicly available for the research community to extract meaningful and reliable associations among risk genes and the mechanisms of disease. However, this exponential growth of data is spread in over thousand heterogeneous repositories, represented in multiple formats and with different levels of quality what hinders the differentiation of clinically valid relationships from those that are less well-sustained and that could lead to wrong diagnosis. This paper presents how conceptual models can play a key role to efficiently manage genomic data. These data must be accessible, informative and reliable enough to extract valuable knowledge in the context of the identification of evidence supporting the relationship between DNA variants and disease. The approach presented in this paper provides a solution that help researchers to organize, store and process information focusing only on the data that are relevant and minimizing the impact that the information overload has in clinical and research contexts. A case-study (epilepsy) is also presented, to demonstrate its application in a real context.

scholarly journals Consumer Confusion and Green Consumption Intentions from the Perspective of Food-Related Lifestyles on Organic Infant Milk Formulas

2021 ◽  
Vol 13 (4) ◽  
pp. 1606
Author(s):  
Shao-Ping Yang ◽  
Shu-Chun Chang ◽  
Ta-Ching Liang ◽  
Rospita Odorlina P. Situmorang ◽  
Minhas Hussain
Keyword(s):  
Online Survey ◽  
Rapid Development ◽  
Food Product ◽  
Milk Formula ◽  
Green Consumption ◽  
Consumer Confusion ◽  
Consumption Intentions ◽  
The Relationship ◽  
Different Levels

A sustainable lifestyle and green consumption are becoming popular nowadays due to increased awareness of environmental issues and many incidents regarding food safety. This has triggered the rapid development of the marketing of green products and the promotion of many green brands which causes confusion among consumers. This paper’s purpose is to evaluate the relationship between this consumer confusion and different Food-Related Lifestyles (FRLs) tending towards green consumption, taking as a case study organic infant milk formula. This study was based on an online survey which was conducted with 381 Taiwanese parents and carried out from January to February 2019. Through cluster analysis, this study categorized the different FRLs into three groups, i.e., consumers unfamiliar with food product quality, consumers who value food quality, and consumers who value food practicality. This study found that there is no significant correlation between different levels of consumer confusion and different FRLs. Furthermore, different consumers’ FRLs have significant correlations with green consumption intention. This study also found a positive relationship between consumer confusion and green consumption intention.

scholarly journals ANALYZING IMPACT FACTORS OF AIRPORT TAXIING DELAY BASED ON ADS-B DATA

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 1251-1255 ◽  
Author(s):  
J. Li ◽  
X. Wang ◽  
Y. Xu ◽  
Q. Li ◽  
C. He ◽  
...  
Keyword(s):  
Influencing Factors ◽  
Delay Time ◽  
Environmental Data ◽  
Impact Factors ◽  
The Impact ◽  
The Relationship

Identifying the factors that cause taxiing delay on airports is a prerequisite for optimizing aircraft taxiing schemes, and helps improve the efficiency of taxiing system. Few of current studies had quantified the potential influencing factors and further investigated their intrinsic relationship. In view of these problems, this paper uses ADS-B data to calculate taxiing delay time by restoring taxiing route and identifying key status points, and further analyzes the impact factors of airport taxiing delay by investigating the relationship between delay time and environmental data such as weather, wind, visibility etc. The case study in Guangzhou Baiyun Airport validates the effectiveness of the proposed method.

scholarly journals Cooperation and the relationship between education and healthcare institutions: the nursing pró-saúde project

2014 ◽  
Vol 23 (1) ◽  
pp. 160-166 ◽  
Author(s):  
Selma Regina de Andrade ◽  
Astrid Eggert Boehs ◽  
Daiana de Mattia ◽  
Carlos Gabriel Eggert Boehs ◽  
Maria Francisca dos Santos Daussy
Keyword(s):  
Interorganizational Relationships ◽  
Study Approach ◽  
Documentary Sources ◽  
Analysis Technique ◽  
Nursing Training ◽  
The Relationship ◽  
Nursing Course ◽  
Different Levels ◽  
Municipal Health

This qualitative study used a case study approach with the aim of analyzing the cooperation between the Nursing Course of the Federal University of Santa Catarina and the Municipal Health Secretariat of Florianópolis, from the Pró-Saúde I Project. The data, from documentary sources and interviews, were analyzed using the directed content analysis technique, and interpreted considering the Cooperative Interorganizational Relationships Model. The results show commitment to formalize the project between both institutions, at a strategic level, followed by negotiations and commitments, culminating with a modified project and a new agreement regulating the partnership. For its implementation, the Management Committee was responsible for making effective, in a cyclic way, the relationship for the proposed activities. It is concluded that there was approximation between the institutions at different levels, reflected in the cooperation within the healthcare units for education-service integration, with the aim of redirecting the nursing training.

The Global Reach of EU Law

2019 ◽  
pp. 21-63
Author(s):  
Joanne Scott
Keyword(s):  
Environmental Law ◽  
Environmental Problems ◽  
Eu Law ◽  
Eu Regulation ◽  
The Relationship ◽  
Different Levels ◽  
The Eu ◽  
Global Reach ◽  
At Home

This chapter explores the mechanisms that enable the EU to extend the global reach of its laws. These include extraterritoriality, territorial extension and the ‘Brussels Effect’. It offers multiple examples of territorial extension operating at different levels and considers the relationship between territorial extension and the Brussels Effect. The second part of the chapter includes a case study on territorial extension in EU environmental law. While it is increasingly accepted that the ‘effects’ doctrine may be invoked to regulate foreign conduct that entails significant effects at home, this chapter considers whether the concept of complicity may help to justify EU regulation that seeks to address environmental problems that are manifested outside the EU.

Geometrical Simulation of Multiscale Toleranced Surface With Consideration of the Tolerancing Principle

2015 ◽  
Vol 15 (2) ◽  
Author(s):  
Cao Yanlong ◽  
Li Bo ◽  
Ye Xuefeng ◽  
Guan Jiayan ◽  
Yang Jiangxin
Keyword(s):  
Life Cycle ◽  
Surface Quality ◽  
Computing Time ◽  
Geometrical Model ◽  
Modeling Methods ◽  
Surface Deviations ◽  
Geometrical Simulation ◽  
The Relationship ◽  
Different Levels

Surface quality and accuracy are the most important factors that affect the performance and life cycle of products. Surface deviations are confirmed to be nonstationary random signals. They show characteristics of randomness, irregularity and multiscale. For precise components, those deviations, i.e., the location/orientation deviations, form deviations, waviness and roughness are constrained by different scales of tolerances. In addition, tolerancing principles are specified to deal with the relationship between geometrical and dimensional deviations of the workpiece. Conventional modeling methods are unable to express surfaces with those features. This paper proposed a new method for geometrical modeling of multiscale toleranced workpiece with consideration of tolerancing principles. The workpiece deviations are decomposed into different scale of deviations. Each scale of deviations is expressed as the products of the normalized deviations and deviation factors. To balance the conflict between computing time and accuracy, a multilevel displaying method is developed. Those deviations are presented at different levels. In the simulation, each scale of tolerances and the tolerancing principles are integrated into the geometrical model of the workpiece. At the end of this paper, a case study was carried out to validate the proposed method.

The framework for designing new logistics service product: a multi-case investigation in China

2019 ◽  
Vol 31 (4) ◽  
pp. 898-924 ◽  
Author(s):  
Weihua Liu ◽  
Di Wang ◽  
Xuan Zhao ◽  
Cheng Si ◽  
Ou Tang
Keyword(s):  
Influencing Factors ◽  
Positive Impact ◽  
Theoretical Framework ◽  
Logistics Industry ◽  
Content Type ◽  
Logistics Service ◽  
Logistics Enterprises ◽  
Service Capability ◽  
The Relationship

Purpose The purpose of this paper is to analyze the influencing factors of new logistics service product design (NLSPD) in China to establish a theoretical framework for the future development of the logistics industry. Design/methodology/approach The paper adopts the multi-case study method based on a sample of four Chinese logistics enterprises, in which the authors consider the logistics service maturity (LSM), a distinct characteristic of logistics enterprises. Findings NLSPD is directly related to the degree of supply–demand matching (SDM) and LSM. Customer demand, service capability and peer competition influence the performance of NLSPD through the SDM degree, whereas LSM moderates these influencing mechanisms. Moreover, the degree of SDM has a positive impact on LSM. Practical implications The findings can help the managers of logistics enterprises and practitioners in the logistics industry understand the complexity of NLSPD. First, they should broaden and deepen their service offering to enhance the degree of LSM. Second, they should pay attention to the factors that affect SDM systematically. Finally, it is vital to balance the relationship between LSM and SDM. Originality/value NLSPD has become an important tool affecting the competitiveness and sustainability of logistics service enterprises. This is the first paper to propose a theoretical framework for NLSPD that considers the characteristic of the logistics industry. It clarifies the mechanisms of influencing factors, and contributes to the literature by filling the research gap.

scholarly journals Train Station Noise Level Analysis (Case Study at Madiun and Yogyakarta Stations)

2017 ◽  
Vol 1 (2) ◽  
pp. 89-95
Author(s):  
Dedik Tri Istiantara
Keyword(s):  
Work Stress ◽  
Noise Level ◽  
Noise Intensity ◽  
Working Hours ◽  
Threshold Value ◽  
Train Station ◽  
Stress Levels ◽  
Relationship Of ◽  
The Relationship

Noise control must be carried out as to reduce the noise level to the level specified according to the standard for a particular environment, for example a train station. The purpose of this study was to determine the relationship of noise intensity with work stress levels to employees at PT Kereta Api Indonesia (Persero), to measure noise intensity at Madiun Station and Yogyakarta, and to analyze work stress levels. experienced by employees. The results show that the noise value has exceeded the threshold value (NAV) determined by Kep-51 / MEN / 1999 and OSHA Standards, which is 85 dBA at 8 hours / day working hours which is in the range of 86.21 - 96.35 dBA , this noise level was received by 34 employees or 54.9%, while employees who were not exposed to noise under NAV were 26 people or 45.1%. The results also showed that the noise intensity at Yogyakarta Station was higher than at Madiun Station.

Sign in / Sign up

Export Citation Format

Share Document