scholarly journals Implementation of Technology, Efficiency, Knowledge, Risk on Trust Level of Fintech Used in MSMEs in Tangerang City

2019 ◽  
Author(s):  
. Tjahjanto ◽  
Indah Rahayu Lestari ◽  
Rinny Meidiyustiani ◽  
. Imelda
Keyword(s):  
Trust Level

Assessing Trust Level of a Driverless Car Using Deep Learning

2021 ◽  
pp. 1-10
Author(s):  
Gour Karmakar ◽  
Abdullahi Chowdhury ◽  
Rajkumar Das ◽  
Joarder Kamruzzaman ◽  
Syed Islam
Keyword(s):  
Deep Learning ◽  
Trust Level

scholarly journals Gender Differences on Psychosocial Factors Affecting COVID-19 Preventive Behaviors

2021 ◽  
Vol 13 (11) ◽  
pp. 6148
Author(s):  
Nicolás Bronfman ◽  
Paula Repetto ◽  
Paola Cordón ◽  
Javiera Castañeda ◽  
Pamela Cisternas
Keyword(s):  
Gender Differences ◽  
Infectious Diseases ◽  
Psychosocial Factors ◽  
Information Seeking ◽  
Attribution Of Responsibility ◽  
Preventive Behaviors ◽  
Factors Affecting ◽  
Trust Level ◽  
Future Risk ◽  
Gender Based

Previous studies have reported differences between men and women in the adoption of preventive behaviors against infectious diseases. This study aims to examine gender differences on a set of psychosocial factors shown to influence preventive behaviors against infectious diseases such as COVID-19. We conducted a web survey (N = 1.004) a few weeks after the end of the peak of the first wave of infections in Chile. The survey assessed participants’ perception of risk and worry about the COVID-19 pandemic, confidence in the government’s competence and integrity in dealing with the crisis, attribution of responsibility to various stakeholders, and adoption of preventive behaviors such as hygiene, distancing, and information-seeking. Our results confirm significant gender-based differences for both the psychosocial factors and the adoption of preventive behaviors. We conclude that women show a higher level of worry and fear of the pandemic and are keener to adopt preventive hygiene and social distancing behaviors. Similarly, participants report a low level of trust in government authorities, with women reporting the lowest trust level. The implications of these findings for the design of future risk communication strategies are discussed.

scholarly journals Evaluation of a national surveillance system for mortality alerts: a mixed-methods study

2018 ◽  
Vol 6 (7) ◽  
pp. 1-314 ◽  
Author(s):  
Paul Aylin ◽  
Alex Bottle ◽  
Susan Burnett ◽  
Elizabeth Cecil ◽  
Kathryn L Charles ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Case Studies ◽  
Surveillance System ◽  
Case Note ◽  
General Level ◽  
Mortality Data ◽  
Mortality Reduction ◽  
Trust Level ◽  
Case Note Review

BackgroundSince 2007, Imperial College London has generated monthly mortality alerts, based on statistical process control charts and using routinely collected hospital administrative data, for all English acute NHS hospital trusts. The impact of this system has not yet been studied.ObjectivesTo improve understanding of mortality alerts and evaluate their impact as an intervention to reduce mortality.DesignMixed methods.SettingEnglish NHS acute hospital trusts.ParticipantsEleven trusts were included in the case study. The survey involved 78 alerting trusts.Main outcome measuresRelative risk of mortality and perceived efficacy of the alerting system.Data sourcesHospital Episodes Statistics, published indicators on quality and safety, Care Quality Commission (CQC) reports, interviews and documentary evidence from case studies, and a national evaluative survey.MethodsDescriptive analysis of alerts; association with other measures of quality; associated change in mortality using an interrupted time series approach; in-depth qualitative case studies of institutional response to alerts; and a national cross-sectional evaluative survey administered to describe the organisational structure for mortality governance and perceptions of efficacy of alerts.ResultsA total of 690 mortality alerts generated between April 2007 and December 2014. CQC pursued 75% (154/206) of alerts sent between 2011 and 2013. Patient care was cited as a factor in 70% of all investigations and in 89% of sepsis alerts. Alerts were associated with indicators on bed occupancy, hospital mortality, staffing, financial status, and patient and trainee satisfaction. On average, the risk of death fell by 58% during the 9-month lag following an alert, levelling afterwards and reaching an expected risk within 18 months of the alert. Acute myocardial infarction (AMI) and sepsis alerts instigated institutional responses across all the case study sites, although most sites were undertaking some parallel activities at a more general level to address known problems in care in these and other areas. Responses included case note review and coding improvements, changes in patient pathways, changes in diagnosis of sepsis and AMI, staff training in case note write-up and coding, greater transparency in patient deterioration, and infrastructure changes. Survey data revealed that 86% of responding trusts had a dedicated trust-level lead for mortality reduction and 92% had a dedicated trust-level mortality group or committee in place. Trusts reported that mortality reduction was a high priority and that there was strong senior leadership support for mortality monitoring. The weakest areas reported concerned the accuracy of coding, the quality of specialty-level mortality data and understanding trends in specialty-level mortality data.LimitationsOwing to the correlational nature of our analysis, we could not ascribe a causal link between mortality alerts and reductions in mortality. The complexity of the institutional context and behaviour hindered our capacity to attribute locally reported changes specifically to the effects of the alerts rather than to ongoing institutional strategy.ConclusionsThe mortality alert surveillance system reflects aspects of quality care and is valued by trusts. Alerts were considered a useful focus for identifying problems and implementing interventions around mortality.Future workA further analysis of site visits and survey material, the application of evaluative framework to other interventions, a blinded case note review and the dissemination of findings.FundingThe National Institute for Health Research Health Services and Delivery Research programme.

scholarly journals 40 Years after Alma Ata: How People Trust in Primary Health Care?

2020 ◽  
Author(s):  
Homayoun Sadeghi Bazargani ◽  
Mohammad Saadati ◽  
Jafar Sadegh Tabrizi ◽  
Mostafa Farahbakhsh ◽  
Mina Golestani
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Linear Regression ◽  
Health Services ◽  
Public Trust ◽  
Health Services Delivery ◽  
Services Delivery ◽  
Trust Level ◽  
Primary Health ◽  
Individual Variables

Abstract Background: Primary Health Care (PHC) was introduced as the first level of health services delivery after Alma Ata declaration. PHC as a first level of health services delivery needs to be more trustfulness to achieve its defined goals. Public trust in PHC is one of the ignored issues in the context. The aim of this study was to explore public trust in PHC in Iran.Methods: This was a household survey study conducted in 2016 in East Azerbaijan Province, Iran. Two-stage cluster sampling method with probability proportional to size (PPS) approach was used. Totally 1178 households were enrolled in the study. PHC trust questionnaire and Ultra-short version of socio-economic status assessment questionnaire (SES-Iran) was used for data collection. Data were analyzed using STATA 15 through descriptive statistics and linear regression.Results: The mean age of the participants was 41.2, (SD: 15.1) and most of them (53.7%) were female. Mean score of PHC trust was 56.9±24.7 (out of 100). It was significantly different between inhabitants of Tabriz (the province capital city) and other cities in the province (p<0.001). Linear regression showed that younger age, gender, insurance type, being married and households higher socio-economic situation had a significant positive influence on PHC trust level with R2 = 0.14383 .Conclusions: Public trust in PHC system in Iran needs to be improved. Individual variables had a small but significant share in trust level. PHC trust not only influenced by individual variables and experience but also by health system and health providers characteristics and public sphere about PHC system. PHC trust level could be used as a public indicator in health systems especially in Low and Middle income countries to lead system strengthening policies in national and international levels.

scholarly journals PENGEMBANGAN SOSIS GASUHIRU BERBASIS PANGAN LOKAL IKAN GABUS “TOKOK” DAN TEPUNG KOMPOSIT TERHADAP SIFAT ORGANOLEPTIK, KADAR ZAT GIZI DAN DAYA TERIMA SOSIS GASUHIRU.

2019 ◽  
Vol 4 (1) ◽  
pp. 24
Author(s):  
Dwi Khotimah ◽  
Abdul Salam ◽  
AASP Chandradewi ◽  
Irianto Irianto
Keyword(s):  
Physical Growth ◽  
Composite Flour ◽  
Treatment Comparison ◽  
Tukey Test ◽  
Current State ◽  
Trust Level ◽  
The Difference ◽  
The Impact ◽  
One Way Anova

Background. Nutrition less in infants is a health problem around the world especially the countries develop. In Indonesia nutritional problems less in toddlers about 19.6%. Nutritional problems have little effect on the low quality of human resources, especially the impact of toddlers who are malnourished by poor brain development, unoptimal physical growth, and metabolic developments (the Kemenkes RI, 2014). The current state of nutrition especially in children is still ematitiate. Given the impact of the nutrient less widespread, it is necessary to do a handling of PMT in the form of sausages using local food that is effective in increasing the weight of children with less nutritional nutrition.Metodelogi. In this study used experimental research Desan with a complete random draft (RAL) One treatment comparison of cork fish with composite flour 75%: 25% 80%: 20% 85%: 15%. Data processing. Processing of data obtained from observations presented in the form of tables, to find out the nature of organoleptic (aroma, flavor, texture and color) in each addition of the sausage making materials processed and analyzed using a statistical analysis of One Way Anova at a trust level of 95% (A = 0.05). If there is a significant impact, the data is analyzed further using the Tukey test to see which treatment is causing the difference. Research results. The comparison of cork fish and composite flour is significant effect on the taste color of texture and aroma. The PMT of Gasuhiru sausage contains 262KKL and 16.72 gr of protein in 100gr. Gasuhiru sausage receiving 83.3% well received.Conclusion: The most liked sausage is a comparison of 85%: 15%. The administration of PMT provides a significant effect on children's weight loss and is 3 times greater than the Conntrol group.

scholarly journals The Effectiveness of O2O Strategy on E-Commerce Transactions

The Winners ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 9 ◽  
Author(s):  
Yulius Lie ◽  
Robertus Nugroho Perwiro Atmojo ◽  
Hery Harjono Muljo
Keyword(s):  
Positive Influence ◽  
Consumer Trust ◽  
Analysis Method ◽  
Quantitative Correlation ◽  
Online Marketplace ◽  
Online Sales ◽  
Trust Level ◽  
Correlation Data ◽  
The People ◽  
Research Outcome

This research wanted to show the development of e-commerce transaction brought something new to organizations to accelerate their business through online sales. The presence of online marketplace also gave positive impacts for organizations to run online sales. It was undeniable that e-commerce positively contributes to people’s lives, besides the negative side that most people are still reluctant to use it. Online-to-offline (O2O) was a strategy to direct online users to do offline activities in physical stores. With O2O, customers could buy products from the store after researching online, paying online, and picking up product from the store. The research aimed to find out more about factors that influence consumer trust level to do a transaction in online media, as well as to measure the effectiveness of O2O strategy on e-commerce. Furthermore, this research used a quantitative correlation data analysis method on critical factors that influence customer decision in doing ecommerce transaction, with non-experimental research. The research outcome is the overview of the effectiveness feature and O2O strategy that is provided by the online shopping provider in giving a positive influence for consumers to make purchases in e-commerce. This research also reflects how the people respond to the existence of a marketplace that complements its place with O2O service.

scholarly journals SMO and SMM Models of Tourist Area Promotion as a Form of Social Interaction in the Vital City Space

2019 ◽  
Vol 8 (12) ◽  
pp. 1061-1063
Keyword(s):  
Social Interaction ◽  
Urban Space ◽  
Reputation Management ◽  
Community Formation ◽  
Trust Level ◽  
City Space ◽  
Common Interests ◽  
Brand Promotion ◽  
The City

The article shows a significant role of social networks in the system of forms of social interaction in the vital city space. The task to identify the most popular platforms for promotion SMO and SMM – brands in the tourist area of a hero city Volgograd was chosen as the key tool. The study identified the effectiveness of priority methods of given marketing practices such as the community formation of brand of territory, work with blogosphere, reputation management, personal branding and extraordinary promotion. The conditions for the infinite social interaction are created in these forms in open ICT environment for the residents and the city guests who have common interests in urban space. The research has accomplished the following tasks such as identification of the most popular open platforms for SMO and SMM of tourist area brand promotion of a hero city Volgograd, detection of related communities, identification of a trust level to them, establishment of their purposes and the range of issues of their interest, places and attractions, related to the brand of territory; uncovering of factors and mechanisms which detect mood changing of the target audience and creation of methodological templates which allow to develop, implement and optimize SMO and SMM campaigns

Research on Dependable Level in Network Computing System

2014 ◽  
Vol 513-517 ◽  
pp. 1105-1108
Author(s):  
Yong Xia Li ◽  
Guang Xia Xu ◽  
Shuang Yan Liu
Keyword(s):  
Computing System ◽  
Dimensional Vector ◽  
Network Behavior ◽  
System Behavior ◽  
Network Computing ◽  
Vector Form ◽  
Useful Knowledge ◽  
Network State ◽  
Behavior Monitoring ◽  
Trust Level

The most weakness link in credible monitoring is that how to process multidimensional dynamic behavior data effectively. System behavior monitoring often needs to deal with different kinds of behavior data and those data can adopt status snapshot in multi-dimensional vector form to express. Obviously, data has strong useful knowledge information, which is regarded as a kind of classification ability. So we need to finish the mapping and classification between a variety of network behavior snapshot and dependable level. This paper introduces on network state snapshot owning the characteristics of high dimension, heterogeneous and dynamic and uses the theory of interval intuitionistic fuzzy to judge credible degree in the system and generate behavior quality trust level of nodes.

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