The Impact of Soft TQM Practices on Organizational Enactment: A Mediating Role of OHSAS18001 Standard

Mia, Md. Mamun; Majri, Yahya; Rahman, Ibrahim Kamal Abdul

doi:10.33094/7.2017.2019.41.1.11

Cited by 6 publications

(10 citation statements)

References 16 publications

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“…Data analysis is a systematic process guided by method of execution of empirical data and by which method of research design is appropriate [20][21][22][23][24][25][26][27][28][29][30]. In this research, the conceptual model was generated through literature, which was used to accumulate the predicted relationship between constructs, drawn through hypotheses.…”

Section: Discussionmentioning

confidence: 99%

“…In this research, the conceptual model was generated through literature, which was used to accumulate the predicted relationship between constructs, drawn through hypotheses. The hypotheses were required to choose the appropriate method [20] for the exploratory analysis that is essential to the most common and well-known design of quantitative analysis [17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33] to test literature prediction from empirical data. Therefore, in this study quantitative analysis was selected by applying the statistical tools of SPSS and Smart-PLS.…”

Section: Discussionmentioning

confidence: 99%

“…The research model was reflective rather than formative. The reflective model develops the theory rather than tests the theory [20][21][22][23][24][25][26][27][28]. The research design of the strategy helps in obtaining the research prediction, identified or not.…”

Section: Discussionmentioning

confidence: 99%

“…An EFA to begin the exploratory factor structure of the SPSS, using an extraction method by Principal Component Analysis (PCA) and rotation method, was conducted through varimax with Kaiser Normalization. The results of each component achieved above 0.50, so were valid, as a value ≥0.50 was required for validity [22][23][24][25]. The Kaiser-Meyer-Olkin (KMO) Measure of Sampling Adequacy is 0.843, which is more than 0.70, while the significant level for Bartlett's Test of Sphericity is 0.000, which is less than 0.05.…”

Section: Exploratory Factor Analysis (Efa)mentioning

confidence: 99%

“…Therefore, EFA analysis is statistically significant and confirmed in the matrix of extraction and rotation methods (Table 1). Cronbach's alpha (α) of each item achieved more than 0.70; the cut-off value should be ≥0.70 to reach a reliable edge [23,26,33] The measurements were reliable and allowed for further analysis.…”

Section: Exploratory Factor Analysis (Efa)mentioning

confidence: 99%

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The Strategy of Factors Influencing Learning Satisfaction Explored by First and Second-Order Structural Equation Modeling (SEM)

et al. 2022

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The goal of this research was to create a partial least square structural equation model (PLS-SEM) with a second-order structural model to investigate the interaction between research-based methodologies and relationship factors that significantly influence learning satisfaction among university students. The instruments used in this study were a simple random sampling technique for structural equation model (SEM) analysis, while a quantitative process of survey data collection was manipulated through SPSS and Smart-PLS. The presented study attempted to explore whether teachers’ strategies are linked with their students for the students’ learning satisfaction. Thus, it represents the demands and expectations of two statistically significant common phenomena: research-based components and relationship approach components. This set of teaching techniques encourages university students and enhances their learning satisfaction. Moreover, this study explored teaching strategies that influence factors having a directly significant influence on learning satisfaction at university level. Each factor measures the relationship’s construct, proven to be a second-order SEM reflective model that is statistically significant. Our study explored learning satisfaction as an integral part of teaching strategies, by first- and second-order structural equation modeling, supported by students’ expectations, and the study’s empirical results provide potential implications for learning satisfaction.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Exploratory Factor Analysis (Efa)mentioning

confidence: 99%

Section: Exploratory Factor Analysis (Efa)mentioning

confidence: 99%

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The Strategy of Factors Influencing Learning Satisfaction Explored by First and Second-Order Structural Equation Modeling (SEM)

et al. 2022

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Consumer Complaint Behaviour in Indonesia: Role of Knowledge and Self-Confidence

Azizah¹,

Simanjuntak²,

Muflikhati³

2022

Jur. Ilm. Kel. & Kons.

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Complaint behavior is a person's response to dissatisfaction with the goods or services used. Complaints are feedback from customers that tend to be negative towards the company. Self-confidence can be interpreted as one aspect of personality in the form of belief in one’s abilities so that others do not influence him, can act according to his will, are happy, optimistic, relatively tolerant, and responsible. This study generally aims to analyze the effect of knowledge and self-confidence on complaints in Indonesia. The study used a cross-sectional study design. The samples were married or employee consumers aged between 17 to 60 years determined by multi-stage random sampling. The number of samples inthis study was 2.100 respondents. This study used descriptive analysis, independent t-test, and SEM using Linear Structural Relationship (LISREL) 8.72. The findings of this study indicate that the knowledge and respondents' complaint behavior are relatively low, whereas self-confidence was in the moderate category. Knowledge had a significant effect on complaint behavior but insignificant on self-confidence. Other results also indicate that self-confidence had no significant effect on complaint behavior.

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The Impact of COVID-19 Pandemic on Labor Market Perspectives for Management Undergraduates: New Models of Employability Capital Development

Svyrydenko

Amarathunga

Wijethunga

et al. 2023

ees

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Introduction. COVID-19 is a worldwide epidemic that impacts all aspects of human life. Social distancing was an essential action to prevent from COVID-19 virus. For this reason, collective activities were prohibited in many countries including Sri Lanka. Education is one of the main collective activities in the world. As such, it is relevant to test the influence of COVID-19 on graduate employability skills. However, it is difficult to find COVID 19 impact on graduate employability skills in the Sri Lankan context. Aim and tasks. The main objective of this paper was to identify the effect of the COVID-19 pandemic on the graduate employability capital of state universities’ management undergraduates in Sri Lanka and the significant level of that factor. Results. Based on the literature review, the COVID-19 pandemic affected five factors human capital, identity capital, cultural capital, social capital, and psychological capital identified as graduate employability capital factors or not. The methods of the study were to use the analysis of quantitative data. To achieve this goal, an online survey of 377 university students was conducted. The obtained selective results in the context of the COVID-19 pandemic showed significant positive shifts in the employment processes of university graduates. This positive impact, according to the results of the regression analysis, was provided by the following types of capital: social, human, psychological, cultural, and identity, the values of which ranged from 91.4 percent to 95.8 percent. Among all types of capital, human and psychological capital had the most significant impact on student mobility. Conclusions. The conducted studies show the importance of the online educational system in the universities of Sri Lanka. The use of available resources can significantly improve the existing infrastructure of online education and help increase the level of competence and professionalism of the teaching staff and university students. The introduction of the proposed online educational programs and courses will not only improve the quality of services provided but will also increase the revenue side of the university budget.

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The Impact of Soft TQM Practices on Organizational Enactment: A Mediating Role of OHSAS18001 Standard

Cited by 6 publications

References 16 publications

The Strategy of Factors Influencing Learning Satisfaction Explored by First and Second-Order Structural Equation Modeling (SEM)

The Strategy of Factors Influencing Learning Satisfaction Explored by First and Second-Order Structural Equation Modeling (SEM)

Consumer Complaint Behaviour in Indonesia: Role of Knowledge and Self-Confidence

The Impact of COVID-19 Pandemic on Labor Market Perspectives for Management Undergraduates: New Models of Employability Capital Development

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