An Analysis Model for the Relationship between Consumers’ Purchase and Sense of Value data

2019 ◽  
Author(s):  
Ryunosuke Tachibana ◽  
Haruka Yamashita
Keyword(s):  
Analysis Model ◽  
The Relationship

scholarly journals Influential Path of Social Risk Factors toward Suicidal Behavior—Evidence from Chinese Sina Weibo Users 2013–2018

2021 ◽  
Vol 18 (5) ◽  
pp. 2604
Author(s):  
Yujin Han ◽  
He Li ◽  
Yunyu Xiao ◽  
Ang Li ◽  
Tingshao Zhu
Keyword(s):  
Risk Factors ◽  
Path Analysis ◽  
Suicide Prevention ◽  
Suicidal Behavior ◽  
Empirical Support ◽  
National Bureau ◽  
Social Risk ◽  
Analysis Model ◽  
The Relationship ◽  
Path Analysis Model

(1) Purpose: The purpose of this study was to determine suicidal risk factors, the relationship and the underlying mechanism between social variables and suicidal behavior. We hope to provide empirical support for the future suicide prevention of social media users at the social level. (2) Methods: The path analysis model with psychache as the mediate variable was constructed to analyze the relationship between suicidal behavior and selected social macro variables. The data for our research was taken from the Chinese Suicide Dictionary, Moral Foundation Dictionary, Cultural Value Dictionary and National Bureau of Statistics. (3) Results: The path analysis model was an adequate representation of the data. With the mediator psychache, higher authority vice, individualism, and disposable income of residents significantly predicted less suicidal behavior. Purity vice, collectivism, and proportion of the primary industry had positive significant effect on suicidal behavior via the mediator psychache. The coefficients of harm vice, fairness vice, ingroup vice, public transport and car for every 10,000 people, urban population density, gross domestic product (GDP), urban registered unemployment rate, and crude divorce rate were not significant. Furthermore, we applied the model to three major economic development belts in China. The model’s result meant different economic zones had no influence on the model designed in our study. (4) Conclusions: Our evidence informs population-based suicide prevention policymakers that incorporating some social factors like authority vice, individualism, etc. can help prevent suicidal ideation in China.

Research on Related Model for Urban Public Crisis Handle Mechanism

2014 ◽  
Vol 989-994 ◽  
pp. 5540-5543
Author(s):  
Yong Chang Ren
Keyword(s):  
Crisis Management ◽  
Evaluation Model ◽  
Point Of View ◽  
Theoretical Point ◽  
Analysis Model ◽  
The Public ◽  
Public Crisis ◽  
Crisis Events ◽  
Response And Recovery ◽  
The Relationship

China is in a critical period of urbanization, and various social contradictions continue to be accumulated, emerged and enlarged, so public crisis management mechanism has been highly valued by governments at all levels with the public crisis events are occurred frequently. The paper conducts study for the problems in the current urban public crisis handle mechanism. First, the evaluation model of crisis management can be researched, and crisis management can be divided into four stages to evaluate respectively, they are Reduction, Readiness, Response and Recovery; then, we should research crisis prediction model to strengthen prediction, prevention and monitoring of the crisis before the crisis happened; finally, stakeholders analysis model should be studied, and scientific analyzing the interests of the various stakeholders and the relationship among them. From the theoretical point of view, the paper carries on a study for crisis handle mechanism to provide support for improving the crisis handle level.

scholarly journals The effects of age and body weight on powerlifters: An analysis model of powerlifting performance based on machine learning

2019 ◽  
Vol 18 (3) ◽  
pp. 89-99
Author(s):  
Vinh Huy Chau ◽  
Anh Thu Vo ◽  
Ba Tuan Le
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Body Weight ◽  
Root Mean Square Error ◽  
Coefficient Of Determination ◽  
Mean Square ◽  
Analysis Model ◽  
Factors Affecting ◽  
Artificial Intelligence Algorithm ◽  
The Relationship

Abstract As a up and coming sport, powerlifting is gathering more and more attetion. Powerlifters vary in their strength levels and performances at different ages as well as differing in height and weight. Hence the questions arises on how to establish the relationship between age and weight. It is difficult to judge the performance of athletes by artificial expertise, as subjective factors affecting the performance of powerlifters often fail to achieve the desired results. In recent years, artificial intelligence has made groundbreaking strides. Therefore, using artificial intelligence to predict the performance of athletes is among one of many interesting topics in sports competitions. Based on the artificial intelligence algorithm, this research proposes an analysis model of powerlifters’ performance. The results show that the method proposed in this paper can predict the best performance of powerlifters. Coefficient of determination-R2=0.86 and root-mean-square error of prediction-RMSEP=20.98 demonstrate the effectiveness of our method.

scholarly journals The relationship between favorable conditions for innovation in technology parks, the innovation produced, and companies’ performance

2018 ◽  
Vol 15 (3) ◽  
pp. 286-302 ◽  
Author(s):  
Lucas Bonacina Roldan ◽  
Peter Bent Hansen ◽  
Domingo Garcia-Perez-de-Lema
Keyword(s):  
Organizational Performance ◽  
Analysis Model ◽  
Content Type ◽  
Practical Support ◽  
Proposed Model ◽  
Technology Parks ◽  
Effective Development ◽  
Favorable Conditions ◽  
The Relationship ◽  
Depth Interviews

PurposeInnovation is today considered a competitive differential for improving the performance of companies, and technology parks are seen as environments with favorable conditions for such innovation. The purpose of this study is to develop a framework for analyzing favorable conditions for innovation in technology parks, the innovations produced and organizational performance.Design/methodology/approachTo this end, the authors conducted bibliographic research and in-depth interviews with managers of companies based at the Tecnopuc Science and Technology Park, and managers of the park itself, to establish practical support for previous theoretical findings.FindingsAs a result, a framework was developed to link the favorable conditions for innovation, and organizational performance.Research limitations/implicationsThe analysis model proposed here synthesizes the contributions made by several scholars on the theme, allowing for a more detailed and integrated interpretation of the phenomenon, namely, the ways through which the effective development of innovation takes place in companies residing in technology parks and the contribution of innovation to the specific performance of companies.Practical implicationsThe use of the proposed framework can help direct park managers’ action towards those relationships or activities that prove to be ineffective in achieving desired goals.Originality/valueThe use of the proposed model in empirical surveys will allow for better understanding of the phenomenon involving the features of technology parks and their effects on innovation and the performance of companies installed there, considering that such parks allow them to access resources with lower transaction costs.

Negative grey relational model and measurement of the reverse incentive effect of fields medal

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sifeng Liu
Keyword(s):  
Grey Relational Analysis ◽  
Research Output ◽  
Analysis Model ◽  
Content Type ◽  
Relational Analysis ◽  
Fields Medal ◽  
Definition Of ◽  
Grey Relational ◽  
Analysis Models ◽  
The Relationship

PurposeThe purpose of this paper is to construct some negative grey relational analysis models to measure the relationship between reverse sequences.Design/methodology/approachThe definition of reverse sequence has been given at first based on analysis of relative position and change trend of sequences. Then, several different negative grey relational analysis models, such as the negative grey similarity relational analysis model, the negative grey absolute relational analysis model, the negative grey relative relational analysis model, the negative grey comprehensive relational analysis model and the negative Deng’s grey relational analysis model have been put forward based on the corresponding common grey relational analysis models. The properties of the new models have been studied.FindingsThe negative grey relational analysis models proposed in this paper can solve the problem of relationship measurement of reverse sequences effectively. All the new negative grey relational degree satisfying the requirements of normalization and reversibility.Practical implicationsThe proposed negative grey relational analysis models can be used to measure the relationship between reverse sequences. As a living example, the reverse incentive effect of winning Fields Medal on the research output of winners is measured based on the research output data of the medalists and the contenders using the proposed negative grey relational analysis model.Originality/valueThe definition of reverse sequence and the negative grey similarity relational analysis model, the negative grey absolute relational analysis model, the negative grey relative relational analysis model, the negative grey comprehensive relational analysis model and the negative Deng’s grey relational analysis model are first proposed in this paper.

scholarly journals Performance Analysis of Switched Control Systems Under Common-source Digital Upsets Modeled by MDHMM

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Rui Wang ◽  
Yanxiao Li ◽  
Hui Sun ◽  
Youmin Zhang ◽  
Yigang Sun
Keyword(s):  
Theoretical Analysis ◽  
Control Systems ◽  
Systems Design ◽  
Performance Degradation ◽  
Common Source ◽  
Complex Environments ◽  
Analysis Model ◽  
Redundant Design ◽  
Control Systems Design ◽  
The Relationship

This paper proposes the theoretical model to analyze the performance degradation of control systems subject to common-source digital upsets. In this paper, a multidimensional hidden Markov model (MDHMM) is used to characterize the correlated upsets and reveals the relationship between complex environments and stochastic random digital upsets injected into the control systems. These digital upsets coming from artificial complex environments are operated on distributed redundant processing controllers. Furthermore, this paper develops the theoretical analysis model for performance degradation of control systems under common-source digital interferences modeled by MDHMM. Theoretical estimations for different redundant configurations are analyzed. Then corresponding simulation verifications for a specific control system are also conducted in details and compared with the theoretical analysis results. These analyses can help to select an optimal redundant design and provide an example for control systems design. This analysis also helps to balance the performance of system, reliability of system, and costs of system design in applications.

Use of Multiple Social Media Platforms in Relation to Psychological Functioning in Emerging Adults

2018 ◽  
Vol 7 (6) ◽  
pp. 501-506 ◽  
Author(s):  
Anna Vannucci ◽  
Christine McCauley Ohannessian ◽  
Sonja Gagnon
Keyword(s):  
Social Media ◽  
Depressive Symptoms ◽  
Emerging Adults ◽  
Psychological Functioning ◽  
Analysis Model ◽  
Different Types ◽  
Social Media Platforms ◽  
Total Alcohol ◽  
The Relationship ◽  
Path Analysis Model

The current study examined relationships between different types of social media platforms used and psychological functioning in a diverse, national U.S. sample of emerging adults (18–22 years). Participants completed surveys online in the spring of 2014. Findings from a path analysis model suggested that individuals who used a higher number of different social media platforms reported more anxiety symptoms, depressive symptoms, total alcohol consumption, and drug use. Facebook use was associated uniquely with depressive symptoms and Snapchat use with substance use. Neither Instagram use nor Twitter use was associated with any measures of psychological functioning. Gender differences also were not observed. Findings highlight the importance of considering the number of different social media platforms used, as well as the specific platform itself, when conceptualizing the relationship between social media use and psychological functioning in emerging adults.

Informal Caregiving and All-Cause Mortality: A Meta-Analysis of Longitudinal Population-Based Studies

2019 ◽  
pp. 073346481989360 ◽  
Author(s):  
Nader Mehri ◽  
Jennifer Kinney ◽  
Scott Brown ◽  
Mahdie Rajabi Rostami
Keyword(s):  
Daily Living ◽  
Meta Analysis ◽  
Informal Caregiving ◽  
Population Based ◽  
Care Recipient ◽  
International Studies ◽  
Analysis Model ◽  
Stress Theory ◽  
All Cause Mortality ◽  
The Relationship

Using the random-effects meta-analysis model, we investigated the effect of informal caregiving on all-cause mortality across 12 longitudinal population-based studies (seven United States; five international: United Kingdom, Northern Ireland [2], Japan, and Australia). Across the studies, the combined effect of informal caregiving on all-cause mortality was 16% lower in favor of caregivers. Subgroup analyses revealed that the relationship between informal caregiving and all-cause mortality was not significant among the U.S. studies, in contrast to the international studies. Also, the mortality advantage of informal caregivers was not evident among those studies in which informal caregiving was operationalized precisely (Activity of Daily [ADL]/Instrumental Activity of Daily Living [IADL] assistance) as opposed to more broadly. Furthermore, studies in which the kinship tie between the informal caregiver and care recipient was unspecified tended to find a mortality advantage in favor of caregivers. When covariates were considered, the results of this meta-analysis provided more support for stress theory than the healthy caregiver hypothesis.

scholarly journals Influence of Teacher Performance on Learning Achievement in Public Secondary Schools in Kisii County, Kenya

2018 ◽  
Vol 10 (2) ◽  
pp. 21
Author(s):  
Gilbert Morara Nyakundi
Keyword(s):  
Secondary Schools ◽  
Student Learning ◽  
Performance Management ◽  
Performance Appraisal ◽  
Quantitative Research ◽  
Teacher Performance ◽  
Student Feedback ◽  
Analysis Model ◽  
Learning Achievement ◽  
The Relationship

AbstractExtant literature suggests that regular appraisal of teachers lead to progress in student learning achievement. However, the influence of teacher performance on achievement is not well documented hence the need for this study whose objectives were to (1) determine the relationship between teacher appraisal ratings and student learning achievement, (2) establish the relationship between student feedback ratings and learning achievement and (3) determine the influence of teacher performance on student learning achievement. Based on Locke’s goal-setting and Vrooms’ expectancy theories this study adopted explanatory sequential mixed methods design with population of 50,379 comprising 333 principals, 3,426 teachers and 46,620 students and a stratified sample of 397. Questionnaire reliability was .779 and .783 for teachers and students respectively. Quantitative research findings for the first and second objectives yielded Pearson’s Correlation Coefficient r (27) = -.008, p=.484 (performance appraisal ratings) and r (27) = -.085, p=.331 (student feedback ratings) showing that appraisal ratings and student feedback ratings were not significantly related to learning achievement since p-values obtained were more than the critical alpha (α) set at .05 level of significance. For the third objective, the regression analysis model constructed to test the influence of teacher performance on learning achievement yielded Persons’ R=.085 indicating a weak positive relationship between the two variables. The R-Squared (R²) computed yielded a value of .007, suggesting that teacher performance explained .7% of student learning achievement. Qualitative findings confirmed that performance appraisal contributed minimally to student achievement due to weaknesses of the appraisal policy, low teacher motivation, student characteristics, principal’s characteristics and home background factors. It is thus recommended that Teachers Service Commission should consider expanding performance appraisal for teachers in secondary schools. In addition, all stakeholders should participate in capacity building programmes to strengthen the performance management process. Finally, further research to develop a performance management model for schools is essential.

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