scholarly journals Safety Analysis of an Automobile Workshop Using Qualitative Risk Assessment Method and Risk Analysis Through the Structural Equation Modelling

2019 ◽  
Vol 16 (1) ◽  
pp. 25-39
Author(s):  
Ayomide Olawale Akintimehin ◽  
Sunday Ayoola Oke
Keyword(s):  
Risk Factors ◽  
Structural Equation Modelling ◽  
Latent Variables ◽  
Structural Equation ◽  
Factor Loading ◽  
Assessment Method ◽  
Repair Service ◽  
Equation Modelling ◽  
Qualitative Risk Assessment ◽  
The Impact

Abstract Automobile repair service hazards are risk factors for multiple severe accidents, and scientific proof reveals a relationship between repair activity hazards and accidents in the auto-mechanic workshop. In this research, the investigators approximated the impact of risk factors for automobile repair activities, using novel parameters, for severity of hazards and influences on subjects, and based on literature. Next, insights into the relationship between latent variables which are appraised by manifest variables using the structural equation modelling were pursued. The respondents answered questionnaires on probability of hazard occurrence, severity and some identified measured variables. The authors appraised 44 out of the 80 and 98 out of 99 distributed questionnaires for the first and second modules, respectively. The risk levels ranged between low and medium for the medium scale establishment due to the nature of work done in the automobile repair centre which exposes the workers to the level of risk. For the second module involving the use of structural equation modelling, the factor loading was the least for safety behaviours (0.06) and highest for machine efficiency (0.90). Of the fifteen hypotheses formulated six were accepted. It is concluded that the safety behaviour of workers depends safety on the workers in the firm irrespective of other factors such as management commitment to safety, environmental contributions and safety, communications. Understanding the impact of risk factors for automobile repair activities in workers is necessary in elevating awareness absent these parameters and to eliminate accidents.

scholarly journals Investigating the Interrelationships among Occupant Attitude, Knowledge and Behaviour in LEED-Certified Buildings Using Structural Equation Modelling

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3158
Author(s):  
Mehreen Saleem Gul ◽  
Elmira NezamiFar
Keyword(s):  
Energy Consumption ◽  
Structural Equation Modelling ◽  
Latent Variables ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Residential Buildings ◽  
Environmentally Friendly ◽  
Energy Performance ◽  
Equation Modelling ◽  
The Impact

The proliferation of residential building energy consumption and CO2 emissions has led many countries to develop buildings under the green rating systems umbrella. Many such buildings, however, fail to meet their designed energy performance, which is possibly attributable to occupant behaviour and unforeseen building usages. The research problem lies in the fact that occupant environmental behaviour is a complex socio-cultural-technical issue that needs to be addressed to achieve the desired energy savings. This study is novel as it investigates complex interrelationships between many observed and unobserved variables using data from four LEED-certified multi-residential buildings in the United Arab Emirates. Structural Equation Modelling was used to analyse the impact of three unobserved/latent variables: occupant environmental Attitude, Knowledge and Behaviour (AKB) with respect to occupant energy consumption, based on measured/observed variables. Although our Goodness-of-Fit values indicated that we achieved a good model fit, the interrelationship between Knowledge and Behaviour (p = 0.557) and between Attitude and Behaviour (p = 0.931) was insignificant, as the p-values > 0.05. The key study outcomes were: (i) providing information alone could not motivate people towards environmentally friendly behaviour; (ii) even changes in their attitude, belief and lifestyle were not significantly related to their behaviour, as the interrelationships among occupant environmental AKB were not significant; and (iii) knowledge and attitude change should be combined with other motivational factors to trigger environmentally friendly actions and influence behaviour.

scholarly journals Relative impact of red blood cell transfusion and anaemia on 5-year mortality in cardiac surgery

2020 ◽  
Author(s):  
Long Tran ◽  
Guri Greiff ◽  
Alexander Wahba ◽  
Hilde Pleym ◽  
Vibeke Videm
Keyword(s):  
Risk Factors ◽  
Cardiac Surgery ◽  
Blood Cell ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Open Heart ◽  
Patient Risk ◽  
Equation Modelling ◽  
Rbc Transfusion ◽  
Preoperative Anaemia

Abstract Graphical Abstract OBJECTIVES The aim was to compare the relative effects of red blood cell (RBC) transfusion and preoperative anaemia on 5-year mortality following open-heart cardiac surgery using structural equation modelling. We hypothesized that patient risk factors associated with RBC transfusion are of larger importance than transfusion itself. METHODS This prospective cohort study, part of the Cardiac Surgery Outcome Study at St. Olavs University Hospital, Trondheim, Norway, included open-heart on-pump cardiac surgery patients operated on from 2000 through 2017 (n = 9315). Structural equation modelling, which allows for intervariable correlations, was used to analyse pathway diagrams between known risk factors and observed mortality between 30 days and 5 years postoperatively. Observation times between 30 days and 1 year, and 1–5 years postoperatively were also compared with the main analysis. RESULTS In a simplified model, preoperative anaemia had a larger effect on 5-year mortality than RBC transfusion (standardized coefficients: 0.17 vs 0.09). The complete model including multiple risk factors showed that patient risk factors such as age (0.15), anaemia (0.10), pulmonary disease (0.11) and higher creatinine level (0.12) had larger effects than transfusion (0.03). Results from several sensitivity analyses supported the main findings. The models showed good fit. CONCLUSIONS Preoperative anaemia had a larger impact on 5-year mortality than RBC transfusion. Differences in 5-year mortality were mainly associated with patient risk factors.

scholarly journals Do Environmental Transformational Leadership Predicts Organizational Citizenship Behavior towards Environment in Hospitality Industry: Using Structural Equation Modelling Approach

2021 ◽  
Vol 13 (10) ◽  
pp. 5594
Author(s):  
Jehanzeb Khan Gurmani ◽  
Noor Ullah Khan ◽  
Muhammad Khalique ◽  
Muhammad Yasir ◽  
Asfia Obaid ◽  
...  
Keyword(s):  
Transformational Leadership ◽  
Organizational Citizenship ◽  
Organizational Citizenship Behavior ◽  
Social Information Processing ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Meaningful Work ◽  
Citizenship Behavior ◽  
Equation Modelling ◽  
The Impact

Voluntary pro-environmental behaviors in the workplace such as organizational citizenship behavior towards environment (OCBE) are pertinent for the organizations striving to become environmentally responsible entities. The significance of OCBE for green organizational initiatives has led scholars to strive for expanding its nomological network. Approaching from the theoretical angle of the social information processing approach, this quantitative, survey-based study theoretically links and empirically tests the impact of environmental transformational leadership on organizational citizenship behavior towards environment (OCBE) via mediating mechanism of perceived meaningful work. Data from a sample of 311 employees working in Pakistan’s hospitality sector were collected and analyzed to test the hypothesized relationships using structural equation modelling. Results indicated the indirect effect of perceived meaningful work on the relationship between environmental transformational leadership and organizational citizenship behavior towards environment. Implications of both theoretical and practical nature are laid out in the relevant sections of the paper.

scholarly journals COVID-19 Risk Factors, Economic Factors, and Epidemiological Factors nexus on Economic Impact: Machine Learning and Structural Equation Modelling Approaches

2021 ◽  
pp. 395-405
Author(s):  
David Opeoluwa Oyewola ◽  
Emmanuel Gbenga Dada ◽  
Juliana Ngozi Ndunagu ◽  
Terrang Abubakar Umar ◽  
Akinwunmi S.A
Keyword(s):  
Machine Learning ◽  
Risk Factors ◽  
Structural Equation Modeling ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Modeling ◽  
Support Vector ◽  
Economic Factors ◽  
Negative Effects ◽  
The Impact

Since the declaration of COVID-19 as a global pandemic, it has been transmitted to more than 200 nations of the world. The harmful impact of the pandemic on the economy of nations is far greater than anything suffered in almost a century. The main objective of this paper is to apply Structural Equation Modeling (SEM) and Machine Learning (ML) to determine the relationships among COVID-19 risk factors, epidemiology factors and economic factors. Structural equation modeling is a statistical technique for calculating and evaluating the relationships of manifest and latent variables. It explores the causal relationship between variables and at the same time taking measurement error into account. Bagging (BAG), Boosting (BST), Support Vector Machine (SVM), Decision Tree (DT) and Random Forest (RF) Machine Learning techniques was applied to predict the impact of COVID-19 risk factors. Data from patients who came into contact with coronavirus disease were collected from Kaggle database between 23 January 2020 and 24 June 2020. Results indicate that COVID-19 risk factors have negative effects on epidemiology factors. It also has negative effects on economic factors.

scholarly journals Integrated model for the stressors, stress, stress-coping behaviour of construction project managers in the UK

2018 ◽  
Vol 11 (3) ◽  
pp. 761-782 ◽  
Author(s):  
Shamil George Naoum ◽  
Carlos Herrero ◽  
Charles Egbu ◽  
Daniel Fong
Keyword(s):  
Construction Industry ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Construction Project ◽  
Project Managers ◽  
Stress Coping ◽  
Content Type ◽  
Equation Modelling ◽  
And Performance ◽  
The Impact

Purpose It is axiomatic that construction is a fast-paced and competitive industry, which goes hand in hand with many construction professionals suffering from stress including construction project managers (C-PMs). The role of C-PMs is crucial to achieving project success as they are responsible for planning the project, organising human resources, controlling operations and the budget, and forecasting probable difficulties. The purpose of this paper is to investigate the causal relationships between stressors, stresses, stress-coping behaviours and their impact on the performance of C-PMs. Design/methodology/approach To investigate the relationships between stress and performance among C-PMs, a questionnaire was designed based on the extensive literature, and was sent to 150 C-PMs who had amassed at least five years’ direct working experience in the construction industry. A total of 44 completed questionnaires were returned. Correlation analysis and structural equation modelling were employed to understand the integrated relationships between these factors. Based on the data collected and analysis of the results, an integrated structural equation model of the stresses and performances of C-PMs was developed using AMOS version 22.0. Findings The results of structural equation modelling reveal the following: burnout is the type of stress that has the highest impact on the performance of C-PMs, being detrimental to their interpersonal performance (IPP) and positive for their organisational performance (OP), whereas physiological stress worsens the task performance of C-PMs and objective stress improves their IPP. The most active stressor towards the performance of C-PMs is “workgroup cooperation”, which has an impact on the IPP in a positive way but is detrimental to the OP. Career-developing environment, poor organisational structure and role conflict affect both stress and performance together. Originality/value This study provides a comprehensive investigation into the impact of various types of stress on the performances of C-PMs. The result constitutes a significant step towards the stress management of C-PMs in the dynamic and stressful construction industry.

scholarly journals Income or Assets—What Determines the Approach to the Environment among Farmers in A Region in Poland?

2020 ◽  
Vol 12 (12) ◽  
pp. 4917 ◽  
Author(s):  
Aleksander Grzelak ◽  
Jakub Staniszewski ◽  
Michał Borychowski
Keyword(s):  
Structural Equation Modelling ◽  
Structural Equation ◽  
Agricultural Land ◽  
Positive Impact ◽  
Farm Size ◽  
Agricultural Producers ◽  
Multiple Indicators ◽  
Equation Modelling ◽  
The Impact ◽  
Heterogeneous Factor

The theory about the impact of farm size, income and assets on the environmental approach of farmers is ambiguous. We contribute to the existing discussion in two ways. Firstly, we look for the determinants of the environmental approach. Secondly, we treat farm size as a heterogeneous factor, affected not only by the value of assets but also flows of incomes. The main objective of the article is, therefore, to recognize the impact of assets and income on the environmental approach of agricultural producers. We analyze the results of surveys carried out in 2020 on a group of 120 farms from the Wielkopolska region (Poland), using structural equation modelling (generalized structural equation modelling (GSEM)-multiple indicators and multiple causes (MIMIC) model). Our results indicate that both the income and assets of the agricultural producers have a positive impact on their approach to the environment. However, to a greater extent, the farmer’s approach to the environment is influenced more by income than by assets. This may be influenced by the capitalization of subsidies in the price of agricultural land, which makes this element of farm assets detached from real processes. It is easier for farms with a higher income and assets to realize the orientation towards sustainability.

Do Long Format Advertisements Sell? Evidence from Indian Consumers

2017 ◽  
Vol 18 (3_suppl) ◽  
pp. S38-S51 ◽  
Author(s):  
Jay P. Trivedi
Keyword(s):  
Structural Equation Modelling ◽  
Structural Equation ◽  
Consumer Behaviour ◽  
Research Data ◽  
Purchase Intentions ◽  
Mediation Effect ◽  
Descriptive Research ◽  
Equation Modelling ◽  
Indian Consumers ◽  
The Impact

Indian firms are engaging consumers with long format advertisements (ads longer than 60 seconds in duration). Television (TV) spot costs are escalating for high viewership programmes. Limited attempt has been made to explore the impact of long format ads (ads longer than 60 seconds in duration) on consumer behaviour. The researcher explores the types of long format ads which increases the audience involvement leading to formation of purchase intentions (PI). Descriptive research design was used to conduct the research. Data was collected from 364 respondents. The conceptual framework was tested using structural equation modelling. The findings reveal that entertaining and informative long format ads exhibit the strongest influence on audience involvement which leads to formation of PI. However, long format ads do not directly lead to formation of PI among the consumers. The mediation effect of message process involvement (MPI) and attitude towards the brand is statistically evident.

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