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The purpose of this study is to analyse numerous aspects affecting residential property price in Malaysia against macroeconomics issues such as gross domestic product (GDP), exchange rate, unemployment and wage.

The hedonic pricing model has been adopted as econometric model for this research to investigate the relationship between residential property price against macroeconomics indicator. The data for residential property price and macroeconomic variables were collected from 1991 to 2019. Multiple linear regression had been adopted to find the relationship between the dependent and independent variables.

The result shows that the GDP has a significant positive impact on residential property price, while exchange rate has no significant impact although it was positive. In addition, the unemployment rate has a significant impact on the residential property price and has a negative relationship. Similar to the wage that shows the negative relationship with residential property prices. Moreover, during the pandemic COVID-19 in Malaysia, this research shows a more transparent view of the relationship between residential property price and the macroeconomic issues of GDP, exchange rate, unemployment and wage.

The findings of this research found that macroeconomics issue cannot be eliminated due to Malaysia is a developing country, and there will always be an issue that will happen, but the issues can be reduced to maximise the advantages, e.g. during COVID-19, the solution to fight against COVID-19 were crucial and weaken the macroeconomics issues.

The present study aims to evaluate the effect of climate change on the flood hazard potential in the Kelantan River Basin using current and future scenarios.

The intensity-duration-frequency (IDF) was used to estimate the current 50- and 100-year return period 24-h design rainfall, and the climate change factor (CCF) was used to compute the future design rainfall. The CCF was calculated from the rainfall projections of two global climate models, CGCM1 and CCSM3, with different pre-processing steps applied to each. The IDF data were used in the rainfall-runoff-inundation model to simulate current and future flood inundation scenarios.

The estimated CCF values demonstrate a contrast, whereby each station had a CCF value greater than one for CGCM1, while some stations had a CCF value of less than one for CCSM3. Therefore, CGCM1 projected an aggravation and CCSM3 a reduction of flood hazard for future scenarios. The study reveals that topography plays an essential role in calculating the CCF.

To the best of the author’s knowledge, this is the first study to examine flood projections in the Kelantan River Basin. It is, therefore, hoped that these results could benefit local managers and authorities by enabling them to make informed decisions regarding flood risk mitigation in a climate change scenario.

By far, the corpus for the quotation extraction and quotation attribution tasks in Indonesian is still limited in quantity and depth. This study aims to develop an Indonesian corpus of public figure statements attributions and a baseline model for attribution extraction, so it will contribute to fostering research in information extraction for the Indonesian language.

The methodology is divided into corpus development and extraction model development. During corpus development, data were collected and annotated. The development of the extraction model entails feature extraction, the definition of the model architecture, parameter selection and configuration, model training and evaluation, as well as model selection.

The Indonesian corpus of public figure statements attribution achieved 90.06% agreement level between the annotator and experts and could serve as a gold standard corpus. Furthermore, the baseline model predicted most labels and achieved 82.026% F-score.

To the best of the authors’ knowledge, the resulting corpus is the first corpus for attribution of public figures’ statements in the Indonesian language, which makes it a significant step for research on attribution extraction in the language. The resulting corpus and the baseline model can be used as a benchmark for further research. Other researchers could follow the methods presented in this paper to develop a new corpus and baseline model for other languages.

This study is aimed to identify the attributes for a valuation approach of flood risk exposure, in particular for residential property. With frequent flood events in Malaysia, there is a need for valuation methods to evolve and represent the increased risk of natural disasters.

This study employed the Delphi method which is a systematic and interactive research technique in obtaining variables for a valuation approach for residential property exposed to flood risk.

Results from the Delphi method revealed four categories of attributes, namely environmental, locational, structural and economical.

The findings from this research will transform the valuation approach in Malaysia to identify the value of residential property exposed to flood risk. The determination of variables will represent the current risk in valuations, especially for residential property in flood-prone areas.

This study aimed to determine the impact of the COVID-19 pandemic on the oil palm smallholders' income, which includes both on-farm and off-farm resources.

This study used a simultaneous equations system for arranging the oil palm household economic model.

The results showed that the negative effect of demand disruption (decreasing of household income) is more than supply disruption (production declining). Declining household income due to COVID-19 caused farmer households to have no access to both basic need and other goods.

The samples for before-pandemic data differed from the situation during COVID-19 in both the location and the person due to technical constraints in research sites.

The main contribution of this study was providing an empirical understanding of how the COVID-19 pandemic influences the economic behavior of the most vulnerable entities in the Indonesian palm oil industry (oil palm smallholder farmers' households). This study would provide baseline information on the impact of the COVID-19 pandemic on the economy of oil palm smallholder's household income.

The purpose of this paper is to examine the influence of autonomy, workload, and work-life balance on job performance among teachers. A survey was carried out among teachers in public schools in the Northern Region of Peninsular Malaysia.

This study adopted a quantitative approach to address the research objectives. A total of 302 teachers reported on their level of autonomy, workload, and work-life balance as well as job performance. Data were analyzed using Statistical Package for Social Sciences version 17.0 and Partial Least Square (Smart PLS) version 2.0.

Based on the statistical analyses conducted, the findings reported that autonomy and work-life balance had a significant impact on respondents’ job performance. Workload, on the other hand, had no substantial bearing on job performance among school teachers in this study.

In terms of practical ramifications, the management of schools need to focus on measures to enhance autonomy and work-life balance in improving job performance among teachers. Finally, directions for future research and conclusion of the study are also presented.

Discussions emphasized on the importance of work-life balance and autonomy in elevating job performance among teachers. This study also provided partial support to the Border and Boundary Theory.

Extracting information from unstructured data becomes a challenging task for computational linguistics. Public figure’s statement attributed by journalists in a story is one type of information that can be processed into structured data. Therefore, having the knowledge base about this data will be very beneficial for further use, such as for opinion mining, claim detection and fact-checking. This study aims to understand statement extraction tasks and the models that have already been applied to formulate a framework for further study.

This paper presents a literature review from selected previous research that specifically addresses the topics of quotation extraction and quotation attribution. Research works that discuss corpus development related to quotation extraction and quotation attribution are also considered. The findings of the review will be used as a basis for proposing a framework to direct further research.

There are three findings in this study. Firstly, the extraction process still consists of two main tasks, namely, the extraction of quotations and the attribution of quotations. Secondly, most extraction algorithms rely on a rule-based algorithm or traditional machine learning. And last, the availability of corpus, which is limited in quantity and depth. Based on these findings, a statement extraction framework for Indonesian language corpus and model development is proposed.

The paper serves as a guideline to formulate a framework for statement extraction based on the findings from the literature study. The proposed framework includes a corpus development in the Indonesian language and a model for public figure statement extraction. Furthermore, this study could be used as a reference to produce a similar framework for other languages.

The purpose of this paper is to introduce a geospatial approach for buildings flood vulnerability assessment using an indicator-based method (IBM) to support flood risk assessment and mapping of physical elements at risk in Kota Bharu District, Kelantan, Malaysia.

The study developed an indicator-based approach to undertake physical flood vulnerability assessment of buildings. The approach takes into consideration flood hazard intensity, building characteristics and structures surrounding the environment as factors that influence flood vulnerability. The aggregation of the total flood vulnerability index is carried out in a geographic information system (GIS) environment.

The results provide a spatial representation of buildings flood vulnerability index in Kota Bharu Malaysia, and the degree of expected vulnerability is expressed on a scale between 0 to 1 (low damage to total damage). Mapping flood vulnerability index of buildings should be considered in future flood mitigation and evacuation planning.

Unlike other indicator-based methods (IBMs) developed for physical flood vulnerability assessment, in the current study, hazard intensity has been considered and incorporated in the physical flood vulnerability model.

This paper aims to assess the ethical disclosure of Islamic banks (IBs) under different accounting regimes and to ascertain whether the adoption of an Islamic accounting standards (Auditing Organization for Islamic Financial Institutions [AAOIFI]) promotes the practice of ethical disclosure.

An ethical identity disclosure index was developed to serve as a benchmark to assess the level of the communicated ethical identity disclosure (CEID) of 47 IBs over 18 countries using annual reports.

The findings suggest that, overall, there is poor ethical disclosure practices and even banks that had some initiatives towards disclosures had no proper reference to benchmark for effective implementation of ethical reporting standards and had no plans for ethical and socially responsible schemes. There was no evidence to suggest that IBs that adapted the religious-based accounting regime (AAOIFI) had better levels of ethical disclosure.

Though poor practices of CEID are expected to increase reputational risks and the likelihood of loss of religious conscious customers and investors’ confidence and therefore market share and performance in the long-term, the current practice does not concur with this expectation. Furthermore, since there is no evidence to support the notion that the adoption of AAOIFI standards would support greater initiatives towards level of ethical identity disclosures, a mandatory requirement for effective disclosure through enforcement of AAOIFI’s financial reporting standards, specifically with regard to ethics and social and environmental commitment is needed.

In addition to introducing commonly accepted regulatory and supervisory guidelines and best practices that cater for the specificities of Islamic banking could significantly improve the level of CEID of IBs. In addition, the standardization of ethical (non-financial) reporting practices of IBs through guidelines and key performance indicators will facilitate CEID practices of IBs.

This paper contends that for Islamic bankers, ethics is an entrenched part of the business practice and should mitigate unethical behaviour, more so with the additional filter of Sharīʿah supervisory boards. Even if there are such practices due to ineffectiveness of Sharīʿah committees, management pressure to meet performance expectations and competitive pressures from peers in the conventional banking sector, it will not be in the interest of the banks to report them.

The purpose of this paper is to examine the five dimensions of corporate integrity systems (CISs) and their effects on accountability outcomes of non-profit organizations (NPOs).

Data were collected from 550 surveys conducted among NPOs in Malaysia registered under Registrar of Society. Regression analysis was conducted to examine the relationships between five dimensions of CISs and accountability outcomes.

The findings revealed that all five dimensions of CISs (compliance, policies and rules, organizational culture, leadership, ethics training and education, and whistle blowing) significantly contribute to positive accountability outcomes of NPOs.

In order for NPOs to deliver greater accountability outcomes to their stakeholders, serious emphasis on CISs is vital.

To the best of the authors’ knowledge, this study is among the first empirical study to examine the role of CIS dimensions and accountability outcomes in the case of NPOs in Malaysia.