The focal aim of this paper is to examine the relationship between government expenditure on health and administration on education, and insurance demand in Malaysia. Specifically, this study examined the short- and long-run impacts of gross domestic product, inflation rate, government health expenditure, government education expenditure and real interest rate on insurance demand in the country. The study focus on Malaysia, was mainly due to the substantial income generated through insurance demand since the COVID-19 pandemic in 2019. Time series data, spanning December 1990 to December 2022, were utilised. This study adopted the linear ARDL approach to identify the short- and long-run impact between observed variables. Specifically, the study examined whether the observed variables significantly affect insurance demand in Malaysia. The initial estimation model was subsequently divided onto two specification model, namely health model and education model. The results suggest that the h.....

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Purpose: The aim of this study is to look into the factors that influence the level of ethics and integrity in Malaysian public sector. Design/methodology/approach: This study uses a quantitative approach by delivering 128 questionnaires to Federal Chief Integrity Officers (CIOs), of which 83 were received and usable. The data were analysed using multiple regression analysis and descriptive statistics. Findings: The quality of CIO in terms of competency, work performance and ethical climate has significant impact on the level of ethics and integrity. According to the study, having certified CIOs who can effectively perform their function and promote and nurture a transparent ethical climate are critical for the Malaysian Federal government to maintain a high level of ethics. Employees who have a high level of ethics are more likely to stay with the organization. Practical implications: In addition, this study will assist policymakers in taking the required actions to strengthen public .....

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Purpose: This paper aims to examine the initiative of low-price hotels, budget hotels, in Malaysia, to restore the financial sustainability through empowering the digital marketplace strategy in the tourism resilience sector. Giving an open accessibility to customers for achieving their venue with a low price and have a friendly service comes from initiating the digital marketplace arrangement. Design/methodology/approach: This study focuses on what is the importance of the digital marketplace strategy for tourism resilience in the pandemic age and how is it important. The data come from qualitative interview from one couple, husband and wife, regarding the budget hotel operation practice in the city of Sri Iskandar, the Perak state of Malaysia. Findings: The findings revealed the importance of initiating the strategy of digital marketplace in enabling the customers personalised decision towards the tourism destination they prefer based on their needs of low-cost and proper service. Th.....

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The most significant task for a teacher is to keep students engaged in the classroom. Teachers can use group contingencies like independent, dependent, and interdependent to assist students in being more involved in classroom tasks. This study identifies the effects of group contingencies in regulating students' engagement in ESL classroom tasks. Samples comprise 27 Form 4 mixed-ability students from a secondary school in Selangor, Malaysia. The research used a mixed-method approach that included both quantitative and qualitative methods. The findings revealed positive motivation, task retention, and teamwork promotion outcomes. Student behaviour was found to have a detrimental impact, particularly among the weaker students, who were boisterous and essentially riders. Interdependent group contingency has been determined to be the most successful method for regulating student engagement in ESL classes. This study suggests that students be divided into interdependent groups to ensure tha.....

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Efficient evaluation for machine learning (ML)-based intrusion detection systems (IDSs) for federated learning (FL) in the Internet of Medical Things (IoMTs) environment falls under the standardisation and multicriteria decision-making (MCDM) problems. Thus, this study is developing an MCDM framework for standardising and benchmarking the ML-based IDSs used in the FL architecture of IoMT applications. In the methodology, firstly, the evaluation criteria of ML-based IDSs are standardised using the fuzzy Delphi method (FDM). Secondly, the evaluation decision matrix (DM) is formulated based on the intersection of standardised evaluation criteria and a list of ML-based IDSs. Such formulation is achieved using a dataset with 125,973 records, and each record comprises 41 features. Thirdly, the integration of MCDM methods is formulated to determine the importance weights of the main and sub standardised security and performance criteria, followed by benchmarking and selecting the optimal ML-b.....

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Pavement strategy is critical for achieving sustainable transportation. However, the presence of many evaluation criteria, criteria tradeoffs, criteria conflict, and criteria importance categorize the evaluation and selection of pavement strategies under complex multicriteria decision-making (MCDM) problems. To date, no study has presented an evaluation framework for selecting the most optimal pavement strategy to be utilized as a way to achieve sustainable transportation considering multicriteria evaluation of pavement strategies and sustainable solutions. This article presents a pavement strategy selection based on a new extension of fuzzy MCDM methods. The methodology is developed in two phases. First, the evaluation decision matrix is formulated on the basis of intersecting the evaluation criteria and pavement strategies list. Second, the proposed MCDM methods are developed: multilayer dual hesitant fuzzy weighted zero inconsistency (DH-FWZIC) to assign weights to the pavements eva.....

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Athlete engagement is one of the key indicators of athletes' positive psychology. It plays a crucial role in coping with burnout and disengagement, creating a flow experience, and improving their competitive ability and performance. In the last two decades, a mountain of literature has focused on engagement in different research settings. In the world of sports, the Athlete Engagement Questionnaire (AEQ) has been proven to be a reliable instrument to access athletes' engagement at both amateur and elite levels. The aim of this study is to investigate the psychometric properties of the Chinese version of AEQ. The original English athlete engagement questionnaire was translated into Chinese using the method of back-translation for data collection. Subsequently, 379 samples were performed for data analysis, mainly focusing on confirmatory factor analysis to examine the four-factor and second-order factor structures of 16 items measuring athlete engagement. The results reproduced four comp.....

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Recently, blockchain-driven supply chain finance has been used in the scope of risk management to solve the financing problem of small and medium-sized enterprises. Among them, risk assessment is the core part of risk management. Therefore, this paper aims to review and analyze articles associated with risk assessment based on blockchain-driven supply chain finance mode. This research also aimed to provide the best practices and identify the academic challenges, motivations and recommendations related with the research. In addition, a methodological approach followed in previous research in this domain was discussed to give some insights for future comers with what to expect. Therefore, articles related to risk assessment based on blockchain-driven supply chain finance were searched systematically. The search was conducted on five major databases, namely, ScienceDirect, Scopus, Web of Science, Springer, Emerald from 2016 to 2022. These indices were considered sufficiently extensive and.....

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All the parameters under experimental elastic properties showed non-linear variations for Nd2O3 nanoparticles. Rocherulle and Makishima-Mackenzie's model involving theoretical elastic was retrieved and compared, along with bond compression and ring deformation models and experimental elastic properties. The corresponding set of data indicates comparable values with Makishima-Mackenzie and Rocherulle models. Although, the experimental elastic moduli exhibit higher values from bond compression model data in comparison with similar experimental values. Therefore, this model is not suitable for this glass system. Predictions from the artificial neural network (ANN) model interpreted through the relationship between the predicted and the experimental values provide an excellent R2 coefficient, lying between 0.9916 to 1.0000 for all values. This great approach via artificial neural network model has proven its validity for future glass research. 2022..

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This paper introduces a unique perspective towards Bitcoin safe haven and hedge properties through the Bitcoin halving cycle. The Bitcoin halving cycle suggests that Bitcoin price movement follows specific sequences, and Bitcoin price movement is independent of other assets. This has significant implications for Bitcoin properties, encompassing its risk profile, volatility dynamics, safe haven properties, and hedge properties. Bitcoins institutional and industrial adoption gained traction in 2021, while recent studies suggest that gold lost its safe haven properties against the S&P500 in 2021 amid signs of funds flowing out of gold into Bitcoin. Amid multiple forces at play (COVID-19, halving cycle, institutional adoption), the potential existence of regime changes should be considered when examining volatility dynamics. Therefore, the objective of this study is twofold. The first objective is to examine gold and Bitcoin safe haven and hedge properties against three US stock indices be.....

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