scholarly journals Analysis of Human Factors Relationship in Hazardous Chemical Storage Accidents

2020 ◽  
Vol 17 (17) ◽  
pp. 6217
Author(s):  
Wei Jiang ◽  
Wei Han ◽  
Jiankai Zhou ◽  
Zhishun Huang
Keyword(s):  
Resource Management ◽  
Human Factors ◽  
Influential Factors ◽  
Accident Analysis ◽  
Chi Square ◽  
Technological Environment ◽  
Hazardous Chemical ◽  
Chi Square Test ◽  
Unsafe Behaviors ◽  
Four Levels

Human factors are important causes of hazardous chemical storage accidents, and clarifying the relationship between human factors can help to identify the logical chain between unsafe behaviors and influential factors in accidents. Therefore, the human factor relationship of hazardous chemical storage accidents was studied in this paper. First, the human factors analysis and classification system (HFACS), which originated from accident analysis in the aviation field, was introduced. Since some items were designed for aviation accident analysis, such as the item “Crew Resource Management”, it is not fully applicable to the analysis of hazardous chemical storage accidents. Therefore, this article introduced some modifications and changes to make the HFACS model suitable for the analysis of hazardous chemical storage accidents. Based on the improved HFACS model, 42 hazardous chemicals storage accidents were analyzed, and the causes were classified. After analysis, we found that under the HFACS framework, the most frequent cause of accidents is resource management, followed by violations and inadequate supervision, and finally the organizational process and technological environment. Finally, according to the statistical results for the various causes of accidents obtained from the improved HFACS analysis, the chi-square test and odds ratio analysis were used to further explore the relevance of human factors in hazardous chemical storage accidents. The 16 groups of significant causal relationships among the four levels of factors include resource management and inadequate supervision, planned inappropriate operations and technological environment, inadequate supervision and physical/mental limitations, and technological environment and skill-based errors, among others.

Blockchain in human resource management of organizations: an empirical assessment to gauge HR and non-HR perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Himani Mishra ◽  
M. Venkatesan
Keyword(s):  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Chi Square ◽  
Content Type ◽  
Blockchain Technology ◽  
Database Technology ◽  
Chi Square Test ◽  
Scope Of Application ◽  
Log Linear

PurposeThe purpose of this study is to understand the views of employees about the application of distributed ledger database technology blockchain, in area of human resource management (HRM) of organizations. The current study aims to understand the views of both HR and non-HR employees of how they assess the current scenario of HRM in their organizations, their awareness about the blockchain technology and their opinion about the scope of application of blockchain in HRM.Design/methodology/approachA sample of 158 employees was collected consisting of employees working in both HR and non-HR profiles across various organizations. Chi-square test of homogeneity, log-linear analysis and basic frequencies were used to analyze the data.FindingsThe results revealed that there was no difference in viewpoints of HR and non-HR employees across all contexts related to blockchain in HRM. The study also analyzed the opinion of employees regarding advantages, organizational barriers and probable usages of blockchain in HRM.Research limitations/implicationsThe study will provide an insight to the organization decision-makers who are willing to roll out Industry 4.0 technology blockchain in HRM and beliefs of employees regarding acceptance of such change in organization.Originality/valueThis study will be a novel attempt to understand the scope of application of blockchain technology in HRM of organizations in Indian context.

An Assessment of Industrial Designers Use of Human Factors Criteria in Product Design Evaluation

1988 ◽  
Vol 32 (6) ◽  
pp. 420-424 ◽  
Author(s):  
Kamran Abedini
Keyword(s):  
Human Factors ◽  
Product Design ◽  
Design Process ◽  
Common Sense ◽  
Design Evaluation ◽  
Chi Square ◽  
Cad System ◽  
Actual Application ◽  
Chi Square Test ◽  
Industrial Designers

In order to know the pattern of actual application of human factors criteria by industrial designers an experiment was conducted by asking 87 students of industrial design to evaluate a CAD workstation after completing a course in “human factors in design”. The guidelines chosen for the evaluation were those related to design of visual displays, controls and workstation layout on the CAD system. Since the main objective was to see how many of the principles had become part of their “common sense” they were asked to evaluate the equipment without any reference to any books/notes. The subject's responses were compared with the human factors guidelines using a Chi-square test (0.05 significance). The results pointed out that industrial designers readily accepted general criteria such as visibility, operability, and accessibility but interpretability of the display was frequently unrecognized. Such information could be used by industrial designers and human factors experts to improve their cooperation in the design process and thus increase the acceptance and marketability of the product.

scholarly journals Pengaruh Pemberian ASI Eksklusif di BPM Maimunah Palembang

2018 ◽  
Vol 9 (2) ◽  
pp. 331
Author(s):  
Rahmalia Afriyani ◽  
Ika Savitri ◽  
Nur Sa'adah
Keyword(s):  
Logistic Regression ◽  
Multivariate Analysis ◽  
Exclusive Breastfeeding ◽  
Influential Factors ◽  
Influential Factor ◽  
P Value ◽  
Chi Square ◽  
Cross Sectional ◽  
Chi Square Test

<p>Breast milk is the best food for an infant. Toddlers are faster affected by the chronic diseases such as cancer, heart disease, hypertension, and diabetes when they grow up. The main causes are less quality of getting the exclusive breastfeeding. The percentage of exclusive breastfeeding in Maimunah’s midwifery lab work was only77,09% in 2016. The purpose of this study was to determine those factors that influenced exclusive breastfeeding in Maimunah’s midwifery lab work Palembang. This study was about a quantitative one with a cross-sectional approach and carried on 2nd-15th of August 2016. There were 94 qualified respondents and the data collection was done by using the questionnaire. The data were analyzed by frequency test, chi-square test, and logistic regression. The shown that 62.8% who gave the exclusive breastfeeding, 55,3% didn’t work,  47,9% were in an age of 20-30, 59,6% had high education, and 63,8% had children ≥2. Meanwhile, there was a significant relationship between exclusive breastfeeding with the occupation (p-value=0.000), age (p-value=0.025), education  (p-value=0,020), and parity (p-value=0.022). The result of multivariate analysis shown that influential factors of exclusive breastfeeding were occupational, age and parity. Furthermore, the most influential factor was an occupation with OR = 10.197.  It was suggested to improve the motivation of working mothers to have the exclusive breastfeeding by facilitating them with the corner of breastfeeding in their office.</p>

scholarly journals Factors influencing early initiation of breastfeeding among mothers in Rajshahi district, Bangladesh

2020 ◽  
Author(s):  
Ummay Ayesha ◽  
Abu Sayed Md. Al M ◽  
Md. Nurul Islam ◽  
Md. Ripter Hossain ◽  
Samme Amena Tasmia ◽  
...  
Keyword(s):  
Binary Logistic Regression ◽  
Influential Factors ◽  
Immune Defense ◽  
Early Initiation ◽  
Binary Logistic Regression Model ◽  
Chi Square ◽  
Early Initiation Of Breastfeeding ◽  
Level Ii ◽  
Chi Square Test ◽  
Initiation Of Breastfeeding

Abstract Background: Early initiation of breastfeeding (EIBF) act as the first immunization for the newborns, fortify their immune defense system and eventually reduce the mortality rate. This study aimed to identify the influential factors of EIBF among mothers in Rajshahi district, Bangladesh.Methods: A total number of 421 mothers living in Rajshahi district who had at least one child aged 6-24 months were considered as sample. Mothers were selected using multistage random sampling. This study was conducted from January to March, 2019. The EIBF was measured by a principal question, “Did you provide your breast milk to your newborns within one hour after delivery?” Frequency distribution and Chi-square test and multivariable binary logistic regression model were utilized in this study for getting prevalence and influential factors of EIBF respectively. Results: This study revealed that the prevalence of EIBF among mothers in Rajshahi district was 88.4%. Multivariable logistic model provided eight influential factors of EIBF: (i) husbands’ education level, (ii) husbands’ occupation, (iii) family monthly income, (iv) mothers’ age, (v) mothers’ BMI, (vi) place of delivery, (vii) getting pregnancy with planning, and (viii) mothers taking advice regarding the benefit of breastfeeding during their pregnancy. Conclusions: This study identified several modifiable influential factors of EIBF. The customs, culture and other characteristics are almost the same across the country. These factors could be considered to increase the rate of EIBF among mothers in Bangladesh.

scholarly journals Factors influencing early initiation of breastfeeding among mothers in Rajshahi district, Bangladesh

2020 ◽  
Author(s):  
Ummay Ayesha ◽  
Abu Sayed Md. Al M ◽  
Md. Nurul Islam ◽  
Md. Ripter Hossain ◽  
Samme Amena Tasmia ◽  
...  
Keyword(s):  
Breast Milk ◽  
Binary Logistic Regression ◽  
Influential Factors ◽  
Early Initiation ◽  
Binary Logistic Regression Model ◽  
Chi Square ◽  
Early Initiation Of Breastfeeding ◽  
Protective Antibodies ◽  
Chi Square Test ◽  
Initiation Of Breastfeeding

Abstract Background: Early initiation of breastfeeding (EIBF) is referred to as providing breast milk to the newborn within one hour of birth. EIBF ensures that the infant receives the colostrum containing highly protective antibodies. This study aimed to identify the influential factors of EIBF among mothers in Rajshahi district, Bangladesh. Methods: The data was collected from mothers living in Rajshahi district who had at least one child aged 6-24 months. This study was conducted from January to March, 2019. The EIBF was measured by a principal question, “Did you provide your breast milk to your infant within one hour after delivery?” Frequency distribution and Chi-square test and multivariable binary logistic regression model were utilized in this study for getting prevalence and influential factors of EIBF respectively. Results: This study revealed that the prevalence of EIBF among mothers in Rajshahi district was 88.4%. Multivariable logistic model provided eight influential factors of EIBF: (i) place of delivery, (ii) family monthly income, (iii) husbands’ education level, (iv) mothers’ nutritional status, (v) mothers’ age, (vi) husbands’ occupation, (vii) getting pregnancy with planning, and (viii) mothers taking advice regarding the benefit of breastfeeding during their pregnancy. Conclusions: This study identified several modifiable influential factors of EIBF. The customs, culture and other characteristics are almost the same across the country. These factors could be considered to increase the rate of EIBF among mothers in Bangladesh.

scholarly journals Association of Service Quality with Customer Satisfaction

2020 ◽  
Vol 2 (2) ◽  
pp. 48-68
Author(s):  
Syed Huzaifa Ahmed
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Positive Association ◽  
Influential Factors ◽  
Chi Square ◽  
Mba Program ◽  
Qualitative Variables ◽  
Chi Square Test ◽  
The University ◽  
The Relationship

The purpose of this explanatory research is to investigate the relationship of service quality with customer satisfaction. To examine the relationship, the study was conducted on students of the executive MBA program at a business school in Karachi, Pakistan. The research technique adopted for this study was probabilistic in nature. Both variables under consideration are observed through multiple dimensions. A chi-square test was performed to test the relationship between the qualitative variables. Findings indicate that service quality and all its dimensions have a significant and positive association with customer satisfaction at the university level. The education sector is a significant industry in Pakistan’s economy and has seen unparalleled growth and progression over the last decade. Therefore, this study has been explicitly conducted to look into the service quality phenomenon and seek credible scientific justification in this regard by studying service quality as one of the main influential factors towards customer satisfaction.

scholarly journals Influence factors of extra-articular manifestations in rheumatoid arthritis

Open Medicine ◽  
2020 ◽  
Vol 15 (1) ◽  
pp. 787-795
Author(s):  
Xing Chen ◽  
Mingmei Zhang ◽  
Tao Wang ◽  
Yunming Li ◽  
Meng Wei
Keyword(s):  
Rheumatoid Arthritis ◽  
Influence Factors ◽  
Clinical Work ◽  
Influential Factors ◽  
Chi Square ◽  
Tissue Specific ◽  
Mortality And Morbidity ◽  
Chi Square Test ◽  
Male Sex ◽  
The Relationship

AbstractBackground and objectiveExtra-articular manifestations (EAMs) are serious outcomes or complications of rheumatoid arthritis (RA) with increasing mortality and morbidity. The purpose was to explore the factors influencing EAMs, tissue-specific/systemic EAMs, and the concurrence of several EAMs.Patients and methodsIn total, 519 inpatients with RA were enrolled. The clinical characteristics, laboratory parameters, and medications of RA patients and the details of EAMs were recorded carefully. Differences between groups were examined by a Chi-square test, independent samples t test, one-way analysis of variance, Mann–Whitney U test, and Kruskal–Wallis H test. Binary and ordinal logistic regression analyses were performed to determine the relationship between influential factors and EAMs, tissue-specific/systemic EAMs, and the concurrence of several EAMs.ResultsThe morbidity of EAMs was 44.70%. Male sex, age, and traditional Chinese medicine (TCM) were independent influential factors of EAMs, and a number of statistically significant influence factors were found in the multivariate analysis of tissue-specific/systemic EAMs. Finally, age, CRP levels, number of RA-affected types of joints, and TCM were the factors that independently influenced the concurrence of several EAMs.ConclusionInfluential factors identified in this study could be recommended in clinical work, which is hopeful to decrease the morbidity and mortality of EAMs in RA.

scholarly journals Demographic Factors and Risk Indicators of Stroke: Comparison Between Inhabitants of Fortaleza Municipal District and the National Profile

2010 ◽  
Vol 18 (4) ◽  
pp. 703-708 ◽  
Author(s):  
Tahissa Frota Cavalcante ◽  
Rafaella Pessoa Moreira ◽  
Thelma Leite de Araujo ◽  
Marcos Venicios de Oliveira Lopes
Keyword(s):  
Demographic Factors ◽  
Epidemiological Data ◽  
Influential Factors ◽  
Public Institutions ◽  
Risk Indicators ◽  
Chi Square ◽  
Chi Square Test ◽  
National Profile ◽  
The City ◽  
Transversal Study

The aim of this study was to compare the demographic factors and the risk indicators for the occurrence of the stroke in the city of Fortaleza with other cities, based on national studies. A transversal study developed with 180 patients who were diagnosed with stroke in nine different public institutions within the period from October 2007 to April 2008. For data collection, a questionnaire was applied by interviewing the patient and/or their companions. The following tests were used for the comparative analysis of epidemiological data: The Chi-Square Test for the adherence and the T-Test for the mean. The patients with stroke evaluated in Fortaleza were younger and had higher rates of hypertension than in the national profile, however, fewer were smokers or consumers of alcohol. It is necessary to increase knowledge about the health of the Brazilian population by region, since there are specific influential factors in the occurrence of stroke.

Analyzing the Effectiveness of Customer Retention Strategies with Existing Customers in Banking Industry

2012 ◽  
Vol 3 (3) ◽  
pp. 1-14
Author(s):  
Niraj Kishore Chimote ◽  
Ankita Srivastava
Keyword(s):  
Factor Analysis ◽  
Banking Industry ◽  
Social Bonds ◽  
Customer Retention ◽  
Value Added ◽  
Demographic Variables ◽  
Retention Strategies ◽  
Chi Square ◽  
Chi Square Test ◽  
Four Levels

The rationale of this study is to find out the effectiveness of customer retention strategies from the perspective of the existing customers of a bank in Dehradun (India). The literature suggests that the retention is influenced by four levels namely financial bonds, social bonds, structural bonds and customization bonds along with some additional variables. The questionnaire survey was responded by 108 existing customers of a leading private sector bank. Chi-square test revealed that the effectiveness of retention strategies is independent of demographic variables except education. The factor analysis indicated the grouping of the seventeen variables into three factors namely: Value added services, convenience and business development. Finally, a multiple regression analysis revealed that the factors extracted in factor analysis are significant in determining the effectiveness of customer retention strategies.

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