Factors affecting the cost of poor quality management in the South African manufacturing sector: structural equation modelling

2021 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Jan Harm C. Pretorius ◽  
Hannelie Nel ◽  
Bheki B.S. Makhanya
Keyword(s):  
Quality Management ◽  
South African ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Manufacturing Sector ◽  
Poor Quality ◽  
The South ◽  
Factors Affecting ◽  
Equation Modelling ◽  
The Cost

scholarly journals Leading internal and external sources of credit risk in the top South African banks

2014 ◽  
Vol 4 (3) ◽  
pp. 51-65
Author(s):  
Tankiso Moloi
Keyword(s):  
Credit Risk ◽  
South African ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Principal Component ◽  
Risk Indicators ◽  
Risk Indicator ◽  
The South ◽  
Equation Modelling ◽  
Indicator Model

This paper aimed at identifying the leading credit risk indicators in the South African banking context as well as the development of an integrated leading credit risk indicator model. A content analysis was used as a data extraction methodology and structural equation modelling was used as a data analysis methodology. The results obtained indicated that utilising the structural equation modelling, gross savings, and prime overdraft rates, number of judgements, business insolvencies and unemployment rates were formulated as leading economic and market (external) indicators of credit risk in the South African banking context. Similarly, utilising the principal component analysis, bank asset quality, bank asset concentration as well as bank trading and hedging activities were formulated as leading bank specific (internal) indicators of credit risk in the South African banking context. The Integrated Leading Credit Risk Indicator Model (ICRIM) was formulated utilising the accepted leading credit risk indicators. The ICRIM parameters were benchmarked against the generally accepted fit indices such as the RMSEA, comparative fit (baseline comparison) as well as the Hoelter and its results output were found to be consistent with these generally accepted fit indice

scholarly journals An Analysis of the Effect of Operations Management Practices on Performance

10.5772/56919 ◽  
2013 ◽  
Vol 5 ◽  
pp. 44 ◽  
Author(s):  
Elisa Battistoni ◽  
Andrea Bonacelli ◽  
Andrea Fronzetti Colladon ◽  
Massimiliano M. Schiraldi
Keyword(s):  
Regression Analysis ◽  
Operations Management ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Management Practices ◽  
Manufacturing Sector ◽  
Optimization Techniques ◽  
Simultaneous Equations ◽  
Italian Economy ◽  
Equation Modelling

In this paper we investigate the possible relationships among some optimization techniques used in Operations Management and the performance of SMEs that operate in the manufacturing sector. A model based on the Structural Equation Modelling (SEM) approach is used to analyse a dataset of small and medium-sized Italian enterprises. The model is expressed by a system of simultaneous equations and is solved through regression analysis. Taking advantage of the contributions presented previously, we focus our research on the Italian economy, highlighting the importance of Operations Management practices, which are relevant drivers of these firms' performances.

scholarly journals MICE tourism development- Examination from the supply side in Dalat City, Vietnam

2020 ◽  
Author(s):  
Ha Nam Khanh Giao ◽  
Le Thai Son
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Supply Side ◽  
Policy Makers ◽  
Factors Affecting ◽  
Equation Modelling ◽  
Confirmatory Factor ◽  
Main Factors

The research attempted to examine resource factors affecting the development of MICE at Dalat, by determining the stakeholders, and by interviewing 350 resources (means from the supply side). The methods of Cronbach’s Alpha, Exploratory Factor Anaalysis (EFA), Confirmatory Factor Analysis (CFA) together the Structural Equation Modelling (SEM) were used by the programs of SPSS and AMOS.The result shows that MICE development is affected by MICE destination resources, then MICE destination resources is affected by 3 main factors, arranged by the importance decreasing: (1) Organization resources; (2) MICE tourist resources; (3) Supplier resources. From that, the research raises some solutions for management and policy makers to develop MICE better.

scholarly journals FACTORS AFFECTING DESIRE TO BUY ENVIRONMENTAL FRIENDLY PRODUCTS

2012 ◽  
Vol 11 (2) ◽  
Author(s):  
Judianto Hasan ◽  
Hartoyo . ◽  
Ujang Sumarwan ◽  
Budi Suharjo
Keyword(s):  
Structural Equation Modelling ◽  
Structural Equation ◽  
External Factor ◽  
Personal Characteristics ◽  
Personal Characteristic ◽  
External Factors ◽  
Factors Affecting ◽  
Environmental Friendly ◽  
Equation Modelling

This research examines factors which are mentioned in various literatures to have influence on desire to buy environmental friendly products. The factors are perceived attributes, personal characteristics and external factors. In this study the factors are put into a model which follows through awareness, interest and desire to buy and was also further analyze. Analysis was carried out using Structural Equation Modelling. This research found that external factor have influenced the desire to buy environmental friendly product. This factor is much more important than that of personal characteristic and perceived attributes.

scholarly journals Does government policy matter? Factors influencing contractors' risk attitudes in the Malaysian construction industry: A structural equation modelling analysis

2020 ◽  
Vol 10 (1) ◽  
pp. 1-29
Author(s):  
Taofeeq Moshood ◽  
◽  
Adekunle Adeleke ◽  
Gusman Nawanir ◽  
Jibril Bamgbade ◽  
...  
Keyword(s):  
Construction Industry ◽  
Government Policy ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Construction Projects ◽  
Decision Makers ◽  
Risk Attitudes ◽  
Personal Factors ◽  
Factors Affecting ◽  
Equation Modelling

One of the critical factors responsible for the successful management of construction projects is individual factors. These factors play a significant role in the decision-makers' attitudes towards risks management. Many previous studies regarding the management of construction projects have focusedon the factors contributing to the success of risk management. However, little attention has been given to factors severely affecting the decision-makers' risk attitudes with particular reference to an individual's risk factors in the construction industry. Therefore, this study aims to identify the factors affecting contractors' risk attitudes and then determine its relationship with government policy. Theoriesof planned behaviour and organisational control wereused to develop the theoretical framework that investigated G-7 contractors in the Kuantan Pahang, Malaysian construction industry. A review of relevant literature and questionnaire was employedto identify the factors affecting contractors' risk attitudes (personal factors). 112copies of a structured questionnaire were analysed with a response rate of 80%. Structural Equation Modelling SEM was utilised to test the hypotheses developed for the study. The results of this study,through SEM,proved that personal factors (working experience, professional competence and physical health) have a significant influence on contractor risk attitudes in the Malaysian construction industry. The findings of this research also confirm that government policy (rules and regulations) plays a moderating role in enhancing the relationship of personal factors affecting contractors’ risk attitudes in construction companies in Malaysia. The findings of the study provide more understanding of the personal factors that affect contractors' risk attitudes to facilitate contractors' decision-making process and serve as a useful reference for further studies in the field of construction project management.

scholarly journals The relationship between occupational culture dimensions and reward preferences: A structural equation modelling approach

2016 ◽  
Vol 15 ◽  
Author(s):  
Mark Bussin ◽  
Michelle Nicholls ◽  
Ronel Nienaber
Keyword(s):  
South African ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Study Data ◽  
Occupational Culture ◽  
Equation Modelling ◽  
Employee Preferences ◽  
Culture Dimensions ◽  
The Relationship ◽  
Modelling Approach

Orientation: Reward has links to employee attraction and retention and as such has a role to play in managing talent. However, despite a range of research, there is still lack of clarity on employee preferences relating to reward.Research purpose: The purpose of the research was to recommend and appraise a theoretical model of the relationship between occupational culture dimensions and reward preferences of specific occupational groups in the South African context.Motivation for the study: The motivation for this study was to address the gap that exists with reward preferences and occupational culture with a view to identifying and gaining insight into individual preferences.Research design, approach and method: A structural equation modelling approach was adopted in exploring the proposed relationships. A South African Information, Communication, and Technology (ICT) organisation served as the population, and a web-based survey assisted in gathering study data (n = 1362).Main findings: The findings provided support for the relationship between occupational culture dimensions and certain reward preferences. In particular, statistically significant results were obtained with the inclusion of the Environment, Team, and Time occupational culture dimensions as independent variables.Practical implications and value-add: The study provides workable input to organisations and reward professionals in the design of their reward strategies and programmes.Keywords: compensation; employee preferences; occupational culture; remuneration; reward preferences

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