Hashem Salarzadeh Jenatabadi

University of Malaya

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Che Wan Jasimah Wan Mohamed Radzi

University of Malaya

Nadia Samsudin

UCSI University

Hui Huang

Zhengzhou University

Huang Hui

University of Malaya

Noor Azina Ismail

University of Malaya

Son Radu

Universiti Putra Malaysia

Ali Noudoostbeni

University of Malaya

Peyman Babashamsi

National University of Malaysia

Farihah Abu Kasim

University of Malaya

Suzana Ariff Azizan

University of Malaya

Cooperative Institutions

University of Malaya

National University of Malaysia

UCSI University

Universiti Teknologi MARA

Wenzhou Vocational College of Science and Technology

University of Kuala Lumpur

National University of Singapore

Universiti Sains Malaysia

University of Technology Malaysia

Shahid Beheshti University of Medical Sciences

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Explore Linkage between Knowledge Management and Organizational Performance in Asian Food Manufacturing Industry

International Journal of Asian Social Science (2013)

Che Wan Jasimah Wan Mohamed Radzi Hashem Salarzadeh Jenatabadi Huang Hui Farihah Abu Kasim Son Radu

This paper is about to examine the relationship of organisational learning (OL) with knowledge management (KM) and their effect on organisational performance (OP) in food industries. The conceptual framework proposed in this research is a creative model that contributes to relevant theories of KM, OL, and OP literature. 168 companies in food industry were selected in China, Taiwan, Malaysia, and structural equation modelling (SEM) is applied to test the hypotheses in our research model. The research model includes three constructs including KM, OL and OP, and three measurement variables include firm age, size, and type. The results show that KM and OL have positive effect on OL and OL is a mediator in the relationship between KM and OP. Moreover, firm age, size, and type are moderators in the relationship among three constructs in the research model.

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Citations (15)

Testing students’ e-learning via Facebook through Bayesian structural equation modeling

PLoS ONE (2017)

Hashem Salarzadeh Jenatabadi Sedigheh Moghavvemi Che Wan Jasimah Wan Mohamed Radzi Parastoo Babashamsi Mohammad Arashı

Learning is an intentional activity, with several factors affecting students' intention to use new learning technology. Researchers have investigated technology acceptance in different contexts by developing various theories/models and testing them by a number of means. Although most theories/models developed have been examined through regression or structural equation modeling, Bayesian analysis offers more accurate data analysis results. To address this gap, the unified theory of acceptance and technology use in the context of e-learning via Facebook are re-examined in this study using Bayesian analysis. The data (S1 Data) were collected from 170 students enrolled in a business statistics course at University of Malaya, Malaysia, and tested with the maximum likelihood and Bayesian approaches. The difference between the two methods' results indicates that performance expectancy and hedonic motivation are the strongest factors influencing the intention to use e-learning via Facebook. The Bayesian estimation model exhibited better data fit than the maximum likelihood estimator model. The results of the Bayesian and maximum likelihood estimator approaches are compared and the reasons for the result discrepancy are deliberated.

10.1371/journal.pone.0182311

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Academic resilience, self-efficacy, and motivation: the role of parenting style

Scientific Reports (2024)

Ye Shengyao Hashem Salarzadeh Jenatabadi Ye Mengshi Chen Minqin Lin Xuefen

Previous research has found that parenting style influences academic resilience. Nonetheless, few studies have focused on the mechanism underlying the relationship between parenting style and academic resilience. This study aims to examine the relationship between adolescents' parenting style and academic resilience, drawing upon the framework of Social Cognitive Theory. Specifically, it wants to explore the mediating roles of self-efficacy and academic motivation in this relationship. The participants were 518 students chosen at random from educational institutions in the Chinese provinces of Zhejiang, Shanghai, and Jiangsu. Social Cognitive Theory was the theoretical foundation for the study, and the Parental Authority Questionnaire was used to measure parenting style. Out of the respondents, 55.5% were male and 45.5% female. The student allocation in the study sample was as follows: 62.34% undergraduate, 28.22% master's, and 9.44% PhD. More than 60% of participants were over 25 years old. Moreover, the findings revealed that parenting style was directly and positively related to academic resilience. Parenting style was also found to be indirectly and positively related to academic resilience via self-efficacy and academic motivation, respectively, and sequentially. More crucially, it was discovered that the direct association was far lower than the indirect effects, with self-efficacy being the most effective. The study indicates a relationship between parenting style and academic resilience in adolescents, with self-efficacy and academic motivation acting as the main mediators. These findings emphasize the significance of these intermediary elements, implying that they play a larger role than the direct influence of parenting style alone.

Parenting styles

Cognitive style

Self-Efficacy

10.1038/s41598-024-55530-7

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Associations of Body Mass Index with Demographics, Lifestyle, Food Intake, and Mental Health among Postpartum Women: A Structural Equation Approach

International Journal of Environmental Research and Public Health (2020)

Hashem Salarzadeh Jenatabadi Che Wan Jasimah Wan Mohamed Radzi Nadia Samsudin

As postpartum obesity is becoming a global public health challenge, there is a need to apply postpartum obesity modeling to determine the indicators of postpartum obesity using an appropriate statistical technique. This research comprised two phases, namely: (i) development of a previously created postpartum obesity modeling; (ii) construction of a statistical comparison model and introduction of a better estimator for the research framework. The research model displayed the associations and interactions between the variables that were analyzed using the Structural Equation Modeling (SEM) method to determine the body mass index (BMI) levels related to postpartum obesity. The most significant correlations obtained were between BMI and other substantial variables in the SEM analysis. The research framework included two categories of data related to postpartum women: living in urban and rural areas in Iran. The SEM output with the Bayesian estimator was 81.1%, with variations in the postpartum women's BMI, which is related to their demographics, lifestyle, food intake, and mental health. Meanwhile, the variation based on SEM with partial least squares estimator was equal to 70.2%, and SEM with a maximum likelihood estimator was equal to 76.8%. On the other hand, the output of the root mean square error (RMSE), mean absolute error (MSE) and mean absolute percentage error (MPE) for the Bayesian estimator is lower than the maximum likelihood and partial least square estimators. Thus, the predicted values of the SEM with Bayesian estimator are closer to the observed value compared to maximum likelihood and partial least square. In conclusion, the higher values of R-square and lower values of MPE, RMSE, and MSE will produce better goodness of fit for SEM with Bayesian estimators.

10.3390/ijerph17145201

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Analysis of Obesity among Malaysian University Students: A Combination Study with the Application of Bayesian Structural Equation Modelling and Pearson Correlation

International Journal of Environmental Research and Public Health (2019)

Che Wan Jasimah Wan Mohamed Radzi Hashem Salarzadeh Jenatabadi Ayed R. A. Alanzi Mohd Istajib Mokhtar Mohd Zufri Mamat

In obesity modelling studies, researchers have been seeking to identify the effective indicators of obesity by using appropriate statistical or mathematical techniques. The main objective of the present study is addressed in three stages. First, a new framework for modelling obesity in university students is introduced. The second stage involves data analysis based on Bayesian Structural Equation Modelling (BSEM) for estimating the Body Mass Index (BMI) (representative of the obesity level) of students at three university levels: Bachelor, Master and PhD. In the third stage, the highest significant correlation is determined between the BMI and other variables in the research model that were found significant through the second phase. The data for this study were collected from students at selected Malaysian universities. The results indicate that unhealthy food intake (fast food and soft drinks), social media use and stress exhibit the highest weightage contributing to overweight and obesity issues for Malaysian university students.

Bachelor

10.3390/ijerph16030492

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Citations (52)

Knowledge Management in Collaborative Manufacturing Food Companies Performances: Twin Impacts of Learning and Innovation

Modern Applied Science (2016)

Hashem Salarzadeh Jenatabadi Che Wan Jasimah Wan Mohamed Radzi Suzana Ariff Azizan Maisarah Binti Hasbullah Mohd Zufri bin Mamat

The purpose of this approach is to establish the twin impacts of organizational innovation (OI) with organizational learning (OL) in the relation between knowledge management (KM) and organizational performance (OP). 168 companies of manufacturing Food Company were chosen from Malaysia, Taiwan, China and path analysis is used to analyse the underlying hypotheses. The research framework under study contain four latent variables (OP; OL; KM; OI) and three observed indicators (firm type; firm size; firm age). Structural equation modelling include mediation and moderation analysis were used in this study. The obtained results support the literature regarding the relationship among these four constructs and prove that the combination of OI and OL is mediator in the linkage between KM and firm performance. Moreover, firm age, size and type are acting as moderators among the research latent variables. The introduced model can be consider as a basic framework for technology management modelling studies. Limitation and implications for future studies are discussed.

Moderation

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10.5539/mas.v10n8p161

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Citations (1)

An Application of Moderation Analysis: the Situation of School Size in the Relationship among Principal's Leadership Style, Decision Making Style, and Teacher Job Satisfaction

International Journal of Research in Business and Technology (2014)

Vida Dadkhah Che Wan Jasimah Wan Mohamed Radzi Huang Hui Hashem Salarzadeh Jenatabadi

The main purpose of this research is to illustrate that school size a moderator can effect on the relationship among principal’s leadership style (PLS), principal's decision making style (PDMS), and teacher job satisfaction (TJS). Moreover, in this article, some hypotheses have been proposed to verify the existing relations among TJS, PLS, and PDMS. Based on samples randomly chosen from primary, secondary and high schools in Chinese educational systems in China, the required data are gathered through a mail survey, and the proposed hypotheses are tested via moderation analysis and structural equation modeling.

Moderation

10.17722/ijrbt.v5i3.375

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Citations (9)

THE RELATIONSHIP AMONG TRANSFORMATIONAL LEADERSHIP, ORGANIZATIONAL LEARNING, AND ORGANIZATIONAL INNOVATION: A CASE STUDY IN ASIAN MANUFACTURING FOOD INDUSTRY Che Wan Jasimahbt Wan Mohamed Radzi 1

Hui Huang Hashem Salarzadeh Jenatabadi Farihah Abu Kasim Son Radu

The main purpose of this study to find out the relationship among transformational leadership (TL), organizational learning (OL), and organizational innovation (OI) in manufacturing food industry in east of Asia countries include China, Taiwan, and Malaysia. Structural equation modeling (SEM) was used to test the research hypotheses from168 manufacturing food companies. Our research model contains three constructs, and the results showed there is positive impact between constructs. Also, Organizational learning is a mediator in the linkage between transformational leadership and organizational innovation.

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Manufacturing

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The Impact of Building Façade Reflectivity on Pedestrian Visual Comfort with the Application of Bayesian Structural Equation Modeling

Engineering Journal (2021)

Norishahaini Mohamed Ishak Hashem Salarzadeh Jenatabadi Siti Nurul Ainun Mohd. Mustafa Jamalunlaili Abdullah

The rapid urban development promotes the need for skyscrapers, which vastly adopt a modern architecture design using reflective materials on the façade of the building, particularly for the aesthetic purpose.Nevertheless, outdoor glare or reflected daylight from a highly reflective building façade may cause visual and thermal discomforts for the residents in the neighborhood buildings and outdoor pedestrians.This might cause uncomfortable glare for individuals outside the building.The amount of glare will be higher as a result of greater solar radiation obtained all year round in tropical countries.Regression and presently structural equation modeling are the best-known statistical modeling in approximating the connection between building facade reflectivity and pedestrian's visual performance.Nevertheless, those methodologies have their own limitations.The primary aim of this research is to compare the effect of building facade reflectivity on pedestrian visual comfort by using four core statistical approximation approaches which include regression, partial least square, structural equation modeling with maximum likelihood estimator, and structural equation modeling with Bayesian estimator.The present study introduces a novel as well as practical modeling and predicting concepts for investigators and specialists in the building façade reflectivity study field.

10.4186/ej.2021.25.1.211

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Factors Affecting Undergraduates’ Academic Performance during COVID-19: Fear, Stress and Teacher-Parents’ Support

Sustainability (2022)

Nor Aishah Abdullah Nurulaini Abu Shamsi Hashem Salarzadeh Jenatabadi Boon‐Kwee Ng Khairul Anam Che Mentri

The emergency transition from physical to online learning during COVID-19 has affected university students in various aspects, especially their academic performance. It can be caused by many factors, such as individual, environmental and social factors. Therefore, this study aims to determine the impact of fear, stress, well-being, teacher and parents’ support (independent variables) on undergraduates’ academic performance (dependent variable) during the COVID-19 pandemic. A structured online questionnaire has been developed and administered to 400 undergraduates. A structural equation model that integrated all variables under investigation was built and statistically validated using AMOS. The results demonstrated that well-being, teacher emotional support and teacher academic support have the highest significant impact on the respondents’ academic performance. It can be concluded that teachers’ support is the most substantial influence in ensuring student learning sustainability during the COVID-19 pandemic.

Pandemic

10.3390/su14137694

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Citations (20)