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This study assesses the effects of flood hazard on property price, which focus on residential property. The growth in the population has resulted in more areas being explored, including areas that are prone to flooding. The exploration of a new area for housing development also brings vulnerability to flood hazard. This research employed hedonic regression method to assess the impact of flood to property price between low-flood and non-flood areas. The case study areas are residential properties along Langar River, Selangor, Malaysia. The findings reveal that residential price in case study areas have only little impact in terms of price impact from the flood events. This study also establishes a new valuation model by considering flood hazard. It is expected that the impact from the flood to property price will be significant in future due to changes in property demand patterns as well as the increase in environmental issues.

This paper aims to report the findings of semi‐structured interviews with management, external auditors and audit committee members in Malaysia concerning the role of the audit committee in resolving auditor‐client disagreements.

An exploratory case study method was applied in seven publicly listed companies in Malaysia. In each company interviews were conducted with an audit committee chair/member, the finance manager/CFO and the external auditor.

The study finds that, when the issue is very material, the audit committee plays a mediating role as a third‐party intermediary who provides assistance to resolve the dispute. The authority of the committee to act as a mediator comes from its oversight responsibilities, its understanding and awareness of possible issues and the members' accounting and business expertise. Mediation techniques used include controlling the agenda, gathering information, advising and solving problems. With two exceptions, the interviews indicate that the audit committee does not take sides when helping to resolve a dispute. The outcome from the mediation process is generally a compromise solution.

The study is based on 21 interviews undertaken in Malaysia. Hence, the findings may not be generalizable to other cultures and jurisdictions. Further, while a number of mediation techniques used by audit committees are identified, the paper does not examine in‐depth the mediation processes used in resolving disagreements.

The study extends the auditor‐client negotiation literature by examining whether the audit committee plays a mediating role to help resolve disagreements. The findings demonstrate that audit committee effectiveness can extend beyond a pure oversight role to more active involvement in resolving contentious accounting issues.

Building operation and maintenance (BOM) services are important activities for highly competitive businesses. In addition, outsourcing decision factors are key to the effectiveness of BOM. Hence, the purpose of this paper is to identify and prioritize the decision factors that affect outsourcing decision factors for BOM services, to elicit the different perceptions of each managerial group (shopping centers, hotels, and hospitals), and to categorize the important outsourced BOM decision factors.

On the basis of the literature review, the authors observed that there are 56 outsourcing decision factors in six groups. The survey included 105 of the largest and most competitive companies in Bangkok, Thailand. The statistical methods applied were the relative importance index (RII), t-test, one-way analysis of variance (ANOVA), and factor analysis (FA).

The findings show that the three participant groups are different in some respects, as shown by their RII values. After ranking the RII values, the top 15 factors for each participant group were used to compare the participant groups using the t-test and one-way ANOVA, which confirmed their respective similarities and differences. Through an FA, the top reasons that each business outsourced BOM services were grouped into major categories.

The results of this research will not only facilitate an understanding of the related decision factors used by each particular business in the commercial sector but will also assist outsourcing companies in identifying and improving support services for businesses.

The purposes of this study were to explore the moderating effect of consumer affinity on brand personality and consumers' intention to stay in a hotel, as well as on self-congruity and consumers' intention to stay in a hotel.

This study collected data from 386 inbound tourists to Taiwan. Hierarchical regression analysis was applied to analyze the data.

The results showed that brand personality, self-congruity and consumer affinity have significant positive effects on consumers' intention to stay in a hotel, respectively. Moreover, consumer affinity has significant moderating effect on brand personality and intention to stay in a hotel, as well as on self-congruity and intention to stay in a hotel.

Consumer affinity is a construct that identifies national attributes, and it strengthens the relationships between brand personality or self-congruity and consumers' intention to stay in a hotel from the level of country-specific affect. The results of this study can provide hotel marketers with reference for marketing management.

Although past studies have examined the relationship between consumer affinity and purchase intention or behavior, the effect of consumer affinity construct on hotel consumers' intention to stay remains sparse in the hotel context. This study confirmed that consumer affinity has significant moderating effect on brand personality and intention to stay in a hotel, as well as on self-congruity and intention to stay in a hotel.

Although there have been extensive studies on the hydrological and erosional impacts of logging, relatively little is known about the impacts of conversion into agricultural plantation (namely rubber and oil palm). Furthermore, studies on morphological impacts, sediment-bound chemistry and forensic attribution of deposited sediment to their respective sources are scarcer. This chapter introduces the potential for using the multi-proxy sediment fingerprinting technique in this context. Featuring pilot projects in two major flood-prone river systems in Malaysia, the studies explore application of geochemistry-based sediment source ascription. The geochemical signatures of sediment mixtures on floodplains were compared to sediments from upstream source tributaries. The tributaries were hypothesised to have different geochemical signatures in response to dominant land management. The first case study took place in the Segama River system (4,023 km²) of Sabah, Malaysian Borneo where a mixture of primary forest, logged-forests and oil palm plantations were predominant. The second case study was in the Kelantan River Basin (13,100 km²) with two major tributaries (Galas River and Lebir River) where logged-forests and rubber and oil palm plantations are dominant land-uses. Both case studies demonstrated the applicability of this method in ascribing floodplain deposited sediment to their respective upstream sources. Preliminary results showed that trace elements associated with fertilisers (e.g. copper and vanadium) contribute to agricultural catchment signatures. Alkaline and alkaline-earth elements were linked to recently established oil palm plantations due to soil turnover. Mixing model outputs showed that contributions from smaller, more severely disturbed catchment are higher than those from larger but milder disturbed catchments. This method capitalises on flood events to counter its adverse impacts by identifying high-priority sediment source areas for efficient and effective management.

Gender equality is a part of the United Nation’s championed sustainable development goal which reflects the global policy priority of bringing women to the table as decision-makers. The year 2021 has seen the highest record of women serving as heads of state and/or government and political representation at national parliaments. However, there seems to be a greater challenge for women to achieve equal political representation as the COVID-19 pandemic that hit the world in 2020 has slowed down women’s political progress at the global level. Until April 2021, COVID-19 has resulted in more than six million casualties and many countries have resorted to taking strict measures to contain the widespread of the virus especially prior to the administration of the vaccines. The strict measures taken by governments worldwide include border closures, extensive contact tracing, physical distancing, and restriction of movements. The pandemic is proven to be precarious not only to public health but also to democracy around the world as governments are given a free pass to silence protests, clamp down on opposition and critics as well as greater control over public movements by using COVID-19 management as a justification. This also has halted the progress made by women’s movements and political activists in championing women’s political representation. Malaysia is one of the countries that imposed long and strict COVID-19-related security and safety measures. This chapter seeks to analyse how COVID-19 is utilized by political institutions specifically the state to embrace or resist changes. COVID-19 is a possible critical juncture that provides opportunities for the state and political parties to renegotiate their structures, values, and positions in society to accommodate women. To explore the gendered responses of political institutions to COVID-19, this chapter identifies two areas to be examined within the Malaysian context (1) the gendered effects of the changes in state structures due to political instability during COVID-19, and (2) government policies that address women during the peak of the COVID-19 period. The results of this study will provide useful insights into the important factors that influence the utilisation of critical junctures either to break a new path or maintain the existing path dependency on political institutions’ policymaking related to gender issues.

The purpose of this paper is to apply boosted regression trees (BRT) to a heterogeneous data set of residential property drawn from a jurisdiction in Malaysia, with the objective to evaluate its application within the mass appraisal environment in Malaysia. Machine learning (ML) techniques have been applied to real estate mass appraisal with varying degrees of success.

To evaluate the performance of the BRT model two multiple regression analysis (MRA) models have been specified (linear and non-linear). One of the weaknesses of traditional regression is the need to a priori specify the functional form of the model and to ensure that all non-linearities have been accounted for. For a BRT model the algorithm does not require any predetermined model or variable transformations, making the process much simpler.

The results show that the BRT model outperformed the MRA-specified models in terms of the coefficient of dispersion and mean absolute percentage error. While the results are encouraging, BRT models still lack transparency and suffer from the inability to translate variable importance into quantifiable variable effects.

This paper presents a useful alternative modelling technique, BRT, for use within the mass appraisal environment in Malaysia. Its advantages include less intensive data cleansing, no requirement to specify the predictive underlying model, ability to utilise categorical variables without the need to transform them and not as data hungry, as for example, MRA.

This paper adds to the knowledge in this area by applying a relatively new ML model, BRT to residential property data from a jurisdiction in Malaysia. BRT has shown promise as a strong predictive model when applied in other disciplines; therefore this research empirically tests this finding within real estate valuation.

Aims to identify the most important red flags as individually perceived by auditors, and explores whether auditors' demographic factors might impact on their perception of the relative importance of red flags in Malaysia, particularly in the Klang Valley area.

This study employed a mailed survey as a method of data collection. The respondents to this survey are practicing auditors from audit firms in Kuala Lumpur. The sample of auditors is taken from the population of domestic listed audit firms with the Malaysian Institute of Accountants as of 27 March 2003. A simple random technique is applied to construct the sample.

In general, subjects indicated that the operating and financial stability category was judged as most important, followed by management characteristics and influence over the control environment, and then finally by industry characteristics.

It would be interesting to examine whether these fraud risk indicators are indeed helpful in the investigation of reported misconduct and fraudulent cases in Malaysia. The findings may help researchers to develop a new fraud risk indicator that takes into consideration actual instances of fraud in Malaysia.

The purpose of this paper is to develop a prototype of Online Food Delivery Application that addresses the actual needs of the user and to study the factors affecting the acceptance of Food Friend Application (FFA).

This is an applied research study using design thinking to study the real needs of consumers when ordering food online during the COVID-19 outbreak. The real needs of customers were used to create FFA. Then, the key predictors of FFA adoption were studied by integrating psychological variables, including Alertness to distinction, Openness to novelty, Orientation in the present; and Technological variables Design, Information Quality and Mobility, with comprehensive data analysis. Initially, Structural Equation Modeling was used to study the statistical relationships toward FFA acceptance, while a neural network model was used to validate the first step analysis.

Analysis results from both methods confirmed that Alertness to distinction, Orientation in the present, Mobility and Openness to novelty affected FFA at statistically significant levels. Surprisingly, technological variables in terms of Design and Information Quality had no statistical relationship toward FFA.

In addition to dealing with digital disrupts, the current business world also needs to deal with the pandemic and the rapidly changing consumer behavior. COVID-19 is a clear catalyst for digital business trends, for example, food delivery that has to deal with dramatic changes in consumer behavior. The strong methodological results of this research are greatly beneficial to academics, food online delivery service providers, application developers and government agencies.

This research essentially aims to examine the extent to which macroeconomic factors (including interest rate, inflation rate, exchange rate, and GDP growth rate) have a positive influence on stock price and the level of significance for that influence. The researchers focused more on real estate and property companies that are listed on the Indonesian Stock Exchange, with consideration for the stock price of real estate and property companies listed on the Indonesia Stock Exchange (IDX) as the most volatile stock during those years (and its market capitalization was the largest during 2012). This study finds that interest rate, inflation rate, exchange rate, and GDP growth rate, as composite variables, have a significant influence on stock price. A partial test revealed that interest rate, inflation rate, and exchange rate have significance on stock price, while GDP growth rate is found to be nonsignificant.