Analysis on application level based on ordinal logistic regression and best of advanced manufacturing technologies (AMT) selection based on fuzzy-TOPSIS integration approach

2021 ◽  
pp. 1-11
Author(s):  
Guilian Wang ◽  
Liyan Zhang ◽  
Jing Guo
Keyword(s):  
Logistic Regression ◽  
Organizational Factors ◽  
Fuzzy Topsis ◽  
Ordinal Logistic Regression ◽  
Industrial Robots ◽  
Policy Implications ◽  
Market Pricing ◽  
Factors Affecting ◽  
Pricing Power ◽  
The Core Competence

This paper try to fully reveal the key factors affecting the the level of AMT application in micro- and small enterprises (MSEs) from its organizational factors by ordinal logistic regression. The results show that MSEs have a relatively high level of AMT application as a whole due to the maturity and cost reduction of basic technologies such as artificial intelligence, digital manufacturing and industrial robots. In this paper we propose manufacturing world analysis at Application using Logistic Regression and best AMT selection using Fuzzy-TOPSIS Integration approach.Considering the influence mechanism of each factor, the important factors that affect the application level of AMT are the enterprise’s market pricing power, the main production types, technical, market and management capabilities, organization development incentives and the interaction with external stakeholders. Based on the results above, the following policy implications are proposed: further expanding the customized production in MSEs to gradually improve the market pricing power, expanding the core competence of enterprises, enhancing the employee autonomy, and strengthening the interaction with industry organizations.

scholarly journals Evaluating Knowledge and Stages of Nutritional Behavior Change in Diabetic Patients Covered by Comprehensive Health Service Centers in Ghayenat City in 2020

2021 ◽  
Vol 18 (3) ◽  
Author(s):  
Abbas Khazaeinejad ◽  
Fatemeh Salmani ◽  
Mitra Moodi
Keyword(s):  
Logistic Regression ◽  
Health Service ◽  
Behavior Change ◽  
Metabolic Diseases ◽  
Ordinal Logistic Regression ◽  
Diabetic Patients ◽  
Factors Affecting ◽  
Training Course ◽  
Nutritional Behavior ◽  
Comprehensive Health

Background: Diabetes is one of the most common chronic and non-communicable metabolic diseases and one of the major public health problems. Lifestyle and diet are remarkable factors in controlling diabetes. Objectives: This study aimed to determine the level of knowledge and stages of nutritional behavior change in diabetic patients. Methods: In this descriptive-analytical study, a simple random sampling method was used to select 330 diabetic patients covered by comprehensive health service centers in Ghayenat city, South Khorasan Province, Iran. The research instrument addressed the participants’ demographic information, knowledge, and stages of nutritional behavior change in diabetic patients. The ordinal logistic regression was used to examine factors affecting behavior change. In this regard, the significance level was set to be P < 0.05. Results: The participants’ mean age was 57.86 ± 11.72 years, and 63.7% of the patients were female. The mean score of knowledge was 15.73 ± 2.61, and 52.8, 16.9, 8.9, 11.3, and 10.1 percent of the participants were in the maintenance, action, preparation, contemplation, and pre-contemplation stages. The ordinal Logistic regression model revealed that the main factors affecting behavior change were knowledge, level of income, and a family member with diabetes (P < 0.05). Conclusions: Given that about two-thirds of diabetic patients take no training course on diabetes, that above forty percent of these individuals have no proper knowledge about the disease, and that half of the patients are in the pre-maintenance stages of behavior change, holding a training course is of paramount importance for patients.

scholarly journals The factors affecting Arabica coffee farmers behaviour in Aceh Tengah Regency

2022 ◽  
Vol 951 (1) ◽  
pp. 012084
Author(s):  
A Baihaqi ◽  
S Kasimin ◽  
C Faradilla ◽  
Fajri ◽  
Mujiburrahmad ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Economic Value ◽  
Simple Random Sampling ◽  
Ordinal Logistic Regression ◽  
Descriptive Statistics ◽  
Arabica Coffee ◽  
Factors Affecting ◽  
Elementary School Education ◽  
Coffee Farmers ◽  
Financial Behaviour

Abstract Arabica coffee is one of the leading export commodities that have high economic value. The study aims to describe the financial behaviour of arabica coffee farmers and to find out what factors influence the financial behaviour of arabica coffee farmers in Aceh Tengah Regency. The sample in this study was 147 samples taken by simple random sampling. This study uses descriptive statistics and ordinal logistic regression. The results of descriptive statistics show that the financial behaviour of arabica coffee farmers in Aceh Tengah Regency is good enough, with a percentage of 57%. This condition is not optimal in managing their finances because of the 9 statements used to measure financial behaviour, only 5 statements have been fulfilled. The results of the ordinal logistic regression have a significant effect at the 5% level (< 0.05), namely the variable financial knowledge in the low category (X1)1 0.0034, financial attitude in the fairly good category (X3)2 0.006, an elementary school education (X4)1, 0.012 junior high schools (X4)3 0.011 and high school (X4)4 0.002 on financial behaviour and income variable (X2) > 0.05, so it does not significantly affect the financial behaviour of arabica coffee farmers in Aceh Tengah Regency.

scholarly journals Factors Affecting Korean Physician Job Satisfaction

2019 ◽  
Vol 16 (15) ◽  
pp. 2714 ◽  
Author(s):  
Young-In Oh ◽  
Hyeongsu Kim ◽  
KyeHyun Kim
Keyword(s):  
Job Satisfaction ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Care Delivery ◽  
Ordinal Logistic Regression ◽  
Work Hours ◽  
Affecting Factors ◽  
Factors Affecting ◽  
Ordinal Logistic Regression Analysis

This study examines job satisfaction of physicians in Korea and investigates factors affecting their satisfaction. The majority of the past studies tend to cover few minor factors— including stress and occupation professionality or insufficient scale of respondents in particular regions—thus leading to restricted explanations on job satisfaction of the overall physician pool in Korea. This study examines the level of job satisfaction of physicians in Korea and factors affecting their satisfaction by using the ‘2016 Korean Physician Survey (KPS)’ data which included all physicians in Korea. Ordinal logistic regression analysis was conducted in this study in order to identify the factors affecting job satisfaction of physicians in terms of care environment attributes. These attributes included autonomy for care delivery, colleagues/staff/patient relations, income, healthcare resources, social reputation, personal leisure time, administration, restrictions and regulations, and work hours and loads. For the ordinal logistic regression analysis, general socio-demographic attributes, such as gender, age, specialty, job position, type of affiliated healthcare organization, working region, and length of service were controlled beforehand. The result of our measures, the affecting factors of job satisfaction for physicians, include being able to; maintain positive relations with patients through adequate time for consultation and necessary healthcare, have the autonomy to make clinical decisions, have healthy relations with peers and staff, obtain respect from family and society, work in an environment with desirable income and have adequate health resources, and have appropriate work hours and loads for those who facilitate high-quality care. Creating an environment in which physicians can focus on patient-oriented healthcare will contribute to promoting national healthcare.

scholarly journals Factors Affecting Secondhand Smoke Avoidance Behavior of Vietnamese Adolescents

2018 ◽  
Vol 15 (8) ◽  
pp. 1632 ◽  
Author(s):  
Ja-yin Lee ◽  
Hyunmi Ahn ◽  
Hyeonkyeong Lee
Keyword(s):  
Logistic Regression ◽  
Middle Schools ◽  
Rural Areas ◽  
Secondhand Smoke ◽  
Avoidance Behavior ◽  
Self Efficacy ◽  
Ordinal Logistic Regression ◽  
Education Programs ◽  
Related Factors ◽  
Factors Affecting

The purpose of this study was to examine the stage of secondhand smoke avoidance behavior of adolescents in rural areas of Vietnam and the related factors affecting such behavior. The participants were recruited from two middle schools located in Hai Thuong and Trieu Trach commune, Vietnam. Data were collected in January 2016 by distributing and collecting a self-administrated questionnaire. The collected data were analyzed (n = 166) using SPSS 21.0 for frequency, percentage, and ordinal logistic regression. The largest proportion of secondhand smoke avoidance behavior was classified in maintenance (41.6%), followed by action (19.9%), preparation (15.1%), pre-contemplation (13.3%), and contemplation (10.2%) stages. The factors related to higher secondhand smoke avoidance behavior were higher self-efficacy (p = 0.003) and more frequent discussion with parents about dangers of smoking (p = 0.001). The findings indicated that self-efficacy of avoiding secondhand smoke and discussion with parents were associated with secondhand smoke avoidance behavior of adolescents. These findings can be used for developing education programs to prevent secondhand smoke for adolescents in Vietnam.

scholarly journals Ordinal Logistic Regression Analysis of Factors Affecting the Length of Student Study

2019 ◽  
Vol 5 (1) ◽  
pp. 28-34
Author(s):  
Baiq Rika Ayu Febrilia ◽  
Suning Rahayu ◽  
Baiq Dewi Korida
Keyword(s):  
Logistic Regression ◽  
Ordinal Logistic Regression ◽  
Education Department ◽  
Study Program ◽  
Factors Affecting ◽  
Ordinal Logistic Regression Analysis ◽  
Two Factors ◽  
Depth Study ◽  
And Gender

The length of time a student completes the study period is a measure of the student's achievement and the success of his study program. Because the duration of the study period is quite influential on the quality of a study program and the learning process in it, it is necessary to do a more in-depth study of the factors that influence the duration of student studies. This study aims to model the factors that influence the length of the study period of students using ordinal logistic regression. These factors are the student's GPA and gender. Data on the length of study, GPA and gender were taken for students of the Mathematics Education Department, IKIP Mataram, who graduated in 2017 and 2018. The results of the study showed that the two factors had a significant effect on the length of the study period.

Evaluating citizen-consumers' attitude toward high social content products: the case of social farming

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anna Uliano ◽  
Marcello Stanco ◽  
Marco Lerro ◽  
Giuseppe Marotta ◽  
Concetta Nazzaro
Keyword(s):  
Logistic Regression ◽  
Policy Implications ◽  
Future Research ◽  
Convenience Sample ◽  
Content Type ◽  
Self Identity ◽  
Factors Affecting ◽  
Research Fields ◽  
Positive Externalities ◽  
Social Farming

PurposeSocial Farming (SF) is an expression of agricultural diversification and multifunctionality, due to its ability to create positive externalities through the inclusion of vulnerable individuals. For this reason, products derived from SF are characterized by social quality attributes, which, however, are not often recognized by the market. This study aims to investigate the reasons behind the lacked recognition of the value created by SF analyzing the willingness to pay (WTP) for such products and the factors affecting citizen-consumers' purchasing behavior.Design/methodology/approachData were collected through a convenience sample (N = 350) via a web-based structured questionnaire. Psycho-attitudinal scales, previously validated in literature, were adopted to characterize the citizen-consumers interviewed. A logistic regression was run in order to determine those characteristics of respondents affecting their intention to purchase SF products, while an ordered logistic regression was performed to uncover the determinants of consumers' WTP for SF products.FindingsThe results show the relevant role of the level of education, household size and ethical self-identity in affecting the willingness to support SF activities by paying a price premium for its products. Lack of availability and information about SF products are the main factors limiting their purchase.Originality/valueThe study offers interesting results outlining future research fields about market penetration strategies and policy implications.

scholarly journals Public reporting of performance measures in long-term care in Canada: does it make a difference?

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
M Poldrugovac ◽  
J E Amuah ◽  
H Wei-Randall ◽  
P Sidhom ◽  
K Morris ◽  
...  
Keyword(s):  
Performance Measures ◽  
Performance Indicators ◽  
Long Term Care ◽  
Public Reporting ◽  
Policy Implications ◽  
Term Care ◽  
Factors Affecting ◽  
Care Facilities ◽  
The Impact

Abstract Background Evidence of the impact of public reporting of healthcare performance on quality improvement is not yet sufficient to draw conclusions with certainty, despite the important policy implications. This study explored the impact of implementing public reporting of performance indicators of long-term care facilities in Canada. The objective was to analyse whether improvements can be observed in performance measures after publication. Methods We considered 16 performance indicators in long-term care in Canada, 8 of which are publicly reported at a facility level, while the other 8 are privately reported. We analysed data from the Continuing Care Reporting System managed by the Canadian Institute for Health Information and based on information collection with RAI-MDS 2.0 © between the fiscal years 2011 and 2018. A multilevel model was developed to analyse time trends, before and after publication, which started in 2015. The analysis was also stratified by key sample characteristics, such as the facilities' jurisdiction, size, urban or rural location and performance prior to publication. Results Data from 1087 long-term care facilities were included. Among the 8 publicly reported indicators, the trend in the period after publication did not change significantly in 5 cases, improved in 2 cases and worsened in 1 case. Among the 8 privately reported indicators, no change was observed in 7, and worsening in 1 indicator. The stratification of the data suggests that for those indicators that were already improving prior to public reporting, there was either no change in trend or there was a decrease in the rate of improvement after publication. For those indicators that showed a worsening trend prior to public reporting, the contrary was observed. Conclusions Our findings suggest public reporting of performance data can support change. The trends of performance indicators prior to publication appear to have an impact on whether further change will occur after publication. Key messages Public reporting is likely one of the factors affecting change in performance in long-term care facilities. Public reporting of performance measures in long-term care facilities may support improvements in particular in cases where improvement was not observed before publication.

scholarly journals Global Sensory Impairment Independently Predicts Decreased Social Function Over Time

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 414-414
Author(s):  
Anna Huang ◽  
Kristen Wroblewski ◽  
Ashwin Kotwal ◽  
Linda Waite ◽  
Martha McClintock ◽  
...  
Keyword(s):  
Mental Health ◽  
Logistic Regression ◽  
Cognitive Function ◽  
Social Engagement ◽  
Social Function ◽  
Ordinal Logistic Regression ◽  
Sensory Function ◽  
Sensory Impairment ◽  
Over Time

Abstract The classical senses (vision, hearing, touch, taste, and smell) play a key role in social function by allowing interaction and communication. We assessed whether sensory impairment across all 5 modalities (global sensory impairment [GSI]) was associated with social function in older adults. Sensory function was measured in 3,005 home-dwelling older U.S. adults at baseline in the National Social Life, Health, and Aging Project and GSI, a validated measure, was calculated. Social network size and kin composition, number of close friends, and social engagement were assessed at baseline and 5- and 10-year follow-up. Ordinal logistic regression and mixed effects ordinal logistic regression analyzed cross-sectional and longitudinal relationships respectively, controlling for demographics, physical/mental health, disability, and cognitive function (at baseline). Adults with worse GSI had smaller networks (β=-0.159, p=0.021), fewer close friends (β=-0.262, p=0.003) and lower engagement (β=-0.252, p=0.006) at baseline, relationships that persisted at 5 and 10 year follow-up. Men, older people, African-Americans, and those with less education, fewer assets, poor mental health, worse cognitive function, and more disability had worse GSI. Men and those with fewer assets, worse cognitive function, and less education had smaller networks and lower engagement. African-American and Hispanic individuals had smaller networks and fewer close friends, but more engagement. Older respondents also had more engagement. In summary, GSI independently predicts smaller social networks, fewer close friends, and lower social engagement over time, suggesting that sensory decline results in decreased social function. Thus, rehabilitating multisensory impairment may be a strategy to enhance social function as people age.

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