Asyraf Afthanorhan

Talent development model for a career in Islamic banking institutions: A SEM approach

Abstract Presently the Malaysian Islamic banking brand name has surged drastically into the mainstream platform. In the meantime, in order to cope with this situation, Islamic banking institutions (IBIs) require more positions to be filled, currently needing a 200,000 workforce by 2020. However, to date only a 17,621 workforce are available in the IBIs which constitutes 11% of that required. This connection has dragged IBIs to the different dimension of issues that is talent shortage. The effect of the problem has made many Islamic banking education and knowledge service providers (IBEKSP) offer an Islamic banking programme in order to confront the situation. Despite Malaysian IBESKP producing abundant graduates nowadays in the job market, Malaysian IBIs still address the issue that they face a critical shortage of talent. Therefore this article attempts to propose a specific talent development model for Malaysian Islamic banking graduates. These data were evaluated by a group of Malaysian undergraduates regarding talent development current practice in university. This study used a structural equation modelling method and it was found that the proposed variables of the study have a positive impact on talent development.

An evaluation of measurement model for medical tourism research: the confirmatory factor analysis approach

Medical tourism has become one of the most important sectors generating foreign exchange for Malaysia. The government has intensified its effort to promote the country as a popular destination among foreign travellers seeking medical care outside their country. Thus, rigorous research is expected in this particular field. In line with that, this study intends to validate the measurement model for medical tourism research. The mixed method study begins with qualitative approach and ends-up with the quantitative analysis. The medical tourism constructs involved are human capital, physical infrastructure, and patient satisfaction. In the qualitative phase, personal and focus group interviews were conducted to generate items for the respective constructs. The confirmatory factor analysis (CFA) has validated the measurement model of human capital, physical infrastructure, and patient satisfaction for unidimensionality, validity and reliability. Therefore, these measurement models can be assessed for the future research improvements.

The assessment of the performance of covariance-based structural equation modeling and partial least square path modeling

Structural equation modeling (SEM) is the second generation statistical analysis technique developed for analyzing the inter-relationships among multiple variables in a model. Previous studies have shown that there seemed to be at least an implicit agreement about the factors that should drive the choice between covariance-based structural equation modeling (CB-SEM) and partial least square path modeling (PLS-PM). PLS-PM appears to be the preferred method by previous scholars because of its less stringent assumption and the need to avoid the perceived difficulties in CB-SEM. Along with this issue has been the increasing debate among researchers on the use of CB-SEM and PLS-PM in studies. The present study intends to assess the performance of CB-SEM and PLS-PM as a confirmatory study in which the findings will contribute to the body of knowledge of SEM. Maximum likelihood (ML) was chosen as the estimator for CB-SEM and was expected to be more powerful than PLS-PM. Based on the balanced experimental design, the multivariate normal data with specified population parameter and sample sizes were generated using Pro-Active Monte Carlo simulation, and the data were analyzed using AMOS for CB-SEM and SmartPLS for PLS-PM. Comparative Bias Index (CBI), construct relationship, average variance extracted (AVE), composite reliability (CR), and Fornell-Larcker criterion were used to study the consequence of each estimator. The findings conclude that CB-SEM performed notably better than PLS-PM in estimation for large sample size (100 and above), particularly in terms of estimations accuracy and consistency.Structural equation modeling (SEM) is the second generation statistical analysis technique developed for analyzing the inter-relationships among multiple variables in a model. Previous studies have shown that there seemed to be at least an implicit agreement about the factors that should drive the choice between covariance-based structural equation modeling (CB-SEM) and partial least square path modeling (PLS-PM). PLS-PM appears to be the preferred method by previous scholars because of its less stringent assumption and the need to avoid the perceived difficulties in CB-SEM. Along with this issue has been the increasing debate among researchers on the use of CB-SEM and PLS-PM in studies. The present study intends to assess the performance of CB-SEM and PLS-PM as a confirmatory study in which the findings will contribute to the body of knowledge of SEM. Maximum likelihood (ML) was chosen as the estimator for CB-SEM and was expected to be more powerful than PLS-PM. Based on the balanced experimental design,...

The development of comparative bias index

Structural Equation Modeling (SEM) is a second generation statistical analysis techniques developed for analyzing the inter-relationships among multiple variables in a model simultaneously. There a...

Developing the patients' loyalty model for medical tourism industry: the case of Malaysia

Medical tourism is nothing new for certain develop and developing countries. This industry is a good money generator to help economic growth and balance of payment of a country. This paper will identify several issues faced by Malaysia in its quest to remain competitive in this industry. The study is aimed to determine which factor is the most importance in providing a high contribution towards medical tourism. This research work assessed four dimensions under human capital construct, and also four dimensions under the physical infrastructure construct. The study also included one mediator construct linking the relationship between each exogenous construct and the intended endogenous construct namely the behavioural loyalty. The study employed stratified sampling method to obtain random sample from foreign tourists seeking treatments in three cities namely Kuala Lumpur, Malacca and Penang. The study utilises partial least square path modelling (PLS-PM). Finally, the result revealed that human capital, high technology, physical infrastructure, and patient satisfaction have positive impact on patient loyalty. Furthermore, the human capital construct was seemed the most importance factor in contributing to the success of medical tourism.