Mohammad Harith Amlus
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Preferred name
Mohammad Harith Amlus
Official Name
Mohammad Harith , Amlus
Alternative Name
Harith Amlus, M.
Bin Amlus, Mohammad Harith
Amlus, M. H.
Amlus, H. M.
Amlus, Mohd Harith
Main Affiliation
Scopus Author ID
56347448400
Researcher ID
CCT-9820-2022

Research Output
Now showing 1 - 5 of 5
  • Publication
    Employee socialization process and engagement in Malaysian hotel industry
    ( 2023-06-12)
    Samah I.H.A.
    ;
    Rashid I.M.A.
    ;
    Shamsudin A.S.
    ;
    Husain W.A.F.W.
    ;
    Mohammad Harith Amlus
    ;
    Rahim N.S.A.
    ;
    Hamzah H.
    Employee in the organization always the core of the activities implemented in the company. without engaged employee, organization would remain constants and there are slim chances for organization to survive in the future. Our world has viewed the importance of employee engagement in the organization that act as energy to empower all employees to boost productivity and overall performance. However, to obtain engaged employees, requires certain level of work understanding. although research on employee engagement has been growing since 90's, however, little was known to study on the understanding before employee could engaged. This research contributes the gap by using Socialization Theory to explain the theoretical concept of employee engagement. Respondents are from selected hotel employee in northern region in Malaysia. Findings conclude that socialization proses phase 3 which is element of acquire shows significant relationship towards employee engagement of absorption and dedication (P-value< 0.05, t-value >1.645). This research is importance for researcher in the field of human resource to understand better on the construct of employee engagement and its antecedent.
  • Publication
    Fundamental of zero trust among digital employees in migration to industry 4.0: Cyber security and movement to iot in Malaysian perspectives
    ( 2023-06-12)
    Samah I.H.A.
    ;
    Rashid I.M.A.
    ;
    Shamsudin A.S.
    ;
    Husain W.A.F.W.
    ;
    Mohammad Harith Amlus
    ;
    Hamzah H.
    Malaysia is now approaching towards Industrial 4.0. Many initiatives are taken by the government to improve in this digital era. 18.2% contribution towards country's growth domestic product was achieved in 2016 through digital economy which was targeted in 2020 (Malaysia Digital Economy Corporation, 2018). This showed a positive sign that the world is accepting the era of digital technologies in many of the industries including in healthcare. The objective of this research is to determine the factor influencing zero-trust among employees in using technologies in healthcare sector. This research proposed a conceptual framework on Zero trust model for digital employees. The contribution in this research is that it may help Malaysian Productivity Corporation have some information that will be useful to Industry4WRD Readiness Assessment. Furthermore, this research hopes will give insight for Malaysia's National Applied Research and Development Centre (MIMOS) for National Internet of Things Strategic Roadmap.
  • Publication
    The initial fiscal policy response to Covid-19 in Malaysia: The impact of government spending on healthcare sector using dynamic panel data system GMM estimation analysis
    ( 2023-06-12)
    Rashid I.M.A.
    ;
    Husain W.A.F.W.
    ;
    Samah I.H.A.
    ;
    Ibrahim S.
    ;
    Hamzah H.
    ;
    Mohammad Harith Amlus
    The purpose of this study is to examine empirically the effect of government spending on healthcare systems on malaysia's economic growth during the early stages of the Covid 19 epidemic. Even as society became aware of the potential dangers of Covid 19, there has been a massive effort to rapidly increase capacity in the healthcare system. In Malaysia, in addition to emphasising the importance of strict adherence to the Movement Control Order (MCO), the government announced an immediate increase in funding for healthcare services as part of the initial phase fiscal policy reply to the Covid 19 outbreak. This study employed Dynamic Panel Data, also identified as a longitudinal study, and collected data over a four-month period, from December 2019 to March 2020, in five Asian countries involved with Covid 19. This study discovered that the Dynamic Panel Data System GMM Estimation model is suitable for interpreting the results, indicating that government expenditure on Covid-19 (p-value = 0.036), unemployment rate and inflation rate have a significant relationship with healthcare sector growth of 1%, 2%, and 5%, respectively. In terms of limitations, such a study only focuses on four months of data from selected Asia countries participating in Covid-19. The findings of panel causality recommend that there are bidirectional links between healthcare sector growth and government spending. Empirical findings suggest that fiscal policy reforms are required to channel healthcare industry growth to increased government spending as a result of Malaysia's fiscal policy.
  • Publication
    Behavior intention for athlete post retirement life using Acylic Behavior Change Diagram (ABCD)
    ( 2023-06-12)
    Samah I.H.A.
    ;
    Rashid I.M.A.
    ;
    Ummi Naiemah Saraih
    ;
    Husain W.A.F.W.
    ;
    Mohammad Harith Amlus
    ;
    Hamzah H.
    Athletes quality of life is very important to be look at. The reason is that the transition they experience is different from other people because most athletes experiencing a drastic change of routine once they retired. And this could lead the psychological problem for example having anxiety, nervousness and worry about their life without sport. With recent challenges due to the recent pandemic of Covid-19, the chances to escalate athlete exit from sport voluntary or involuntary is there. Using JAMOVI, Therefore, this study adopted Acyclic Behaviour Change Diagram (ABCD) to proposing the behaviour intervention and processes of transition in understanding the flows of voluntary and involuntary retirement in sport. The current study contributes toward the literature in understanding the diagram and flow of athlete retirement which, many researches before this were only proposing a theoretical framework and lacking in providing detail workflow processes.
  • Publication
    The impact of healthcare expenditure and healthcare sector growth on CO2 emission using dynamic panel data system GMM estimation model during COVID 19 crisis
    ( 2020-01-01)
    Samah I.H.A.
    ;
    Rashid I.M.A.
    ;
    Husain W.A.F.W.
    ;
    Ibrahim S.
    ;
    Hamzah H.
    ;
    Mohammad Harith Amlus
    As huge consumers of water and energy, healthcare sector have a significant environmental impact. The healthcare sector is accountable for answering countless the most dangerous effects of climate change and pollution, deadly environmental emissions and other greenhouse gases itself. This study aims to observe empirically the effect of healthcare expenditure and heath sectors growth on CO2 during Covid 19 outbreak in Malaysia. As the world has awakened to the potential risks of Covid 19, there has been a massive effort to add capacity to the healthcare system rapidly. In Malaysia, apart from stressing the need for the public to strictly adhere to the Movement Control Order (MCO), the government an immediate boost in funding for healthcare services through initial stage fiscal policy response to Covid 19 outbreak. This research used Dynamic Panel Data Model also known as longitudinal study. This study explained Dynamic Panel Data System GMM Estimation model is fitting to interpret the outcome, indicate healthcare expenditure and healthcare growth on Covid-19, inflation rate and unemployment rate have significant relationship with CO2 emission. Empirical findings suggest that CO2 emissions policies reforms are required to channelize healthcare sector growth to a more government spending resulting from fiscal policy designed by the government of Malaysia. The regulators of other countries should pull out CO2 emissions policies to achieve sustainable economic growth and health sector growth development. The results provide important information to allow comparisons of the health-care sector with other economic sectors in Malaysia and the global healthcare sector in terms of CO2 emission. In particular, the results are intended to contribute to the understanding of the CO2 emission of national healthcare systems so that policymakers, especially in low-income and middle-income countries, can develop relevant CO2 emissions mitigation policies.