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Peat swamp forest fire hazard areas were identified and mapped by integrating GIS‐grid‐based and multi‐criteria analysis to provide valuable information about the areas most likely to be affected by fire in the Pekan District, south of Pahang, Malaysia. A spatially weighted index model was implemented to develop the fire hazard assessment model used in this study. Fire‐causing factors such as land use, road network, slope, aspect and elevation data were used in this application. A two‐mosaic Landsat TM scene was used to extract land use parameters of the study area. A triangle irregular network was generated from the digitized topographic map to produce a slope risk map, an aspect risk map and an elevation risk map. Spatial analysis was applied to reclassify and overlay all grid hazard maps to produce a final peat swamp forest fire hazard map. To validate the model, the actual fire occurrence map was compared with the fire hazard zone area derived from the model. The model can be used only for specific areas, and other criteria should be considered if the model is used for other areas. The results show that most of the actual fire spots are located in very high and high fire risk zones identified by the model.

Technology acceptance is a measure of that technology’s usefulness. Oil palm is one of the biggest contributors to Indonesia’s revenues, thus fueling its economy. Using remote sensing would allow a plantation to monitor and forecast its production and the amount of fertilizer used. This review aims to provide a policy recommendation in the form of a strategy to improve the added value of Indonesia’s oil palm and support the government in increasing oil palm production. This recommendation needs to be formulated by determining the users’ acceptance of remote sensing technology (state-owned plantations, private plantation companies and smallholder plantations).

This review’s methodology used sentiment analysis through text mining (bag of words model). The study’s primary data were from focus group discussions (FGDs), questionnaires, observations on participants, audio-visual documentation and focused discussions based on group category. The results of interviews and FGDs were transcribed into text and analyzed to 1) find words that can represent the content of the document; 2) classify and determine the frequency (word cloud); and finally 3) analyze the sentiment.

The result showed that private plantation companies and state-owned plantations had extremely high positive sentiments toward using remote sensing in their oil palm plantations, whereas smallholders had a 60% resistance. However, there is still a possibility for this technology’s adoption by smallholders, provided it is free and easily applied.

Basically, technology is applied to make work easier. However, not everyone is tech-savvy, especially the older generations. One dimension of technology acceptance is user/customer retention. New technology would not be immediately accepted, but there would be user perceptions about its uses and ease. At first, people might be reluctant to accept a new technology due to the perception that it is useless and difficult. Technology acceptance is the gauge of how useful technology is in making work easier compared to conventional ways.

Therefore, technology acceptance needs to be improved among smallholders by intensively socializing the policies, and through dissemination and dedication by academics and the government.

The social implications of using technology are reducing the workforce, but the company will be more profitable and efficient.

Remote sensing is one of the topics that people have not taken up in a large way, especially sentiment analysis. Acceptance of technology that utilizes remote sensing for plantations is very useful and efficient. In the end, company profits can be allocated more toward empowering the community and the environment.

The halal industry has been growing in recent years, seeing an increasing demand for halal products from both Muslim and non-Muslim consumers and acknowledging that halal is a universal concept accepted by both Muslim and non-Muslim societies. Service-related providers, such as logistics, could influence the demand for halal products by consumers. This paper aims to investigate the factors that influence consumers' willingness to pay (WTP) for halal logistics among young non-Muslim adults.

A set of survey questions were distributed to young non-Muslim adults and 280 questionnaires were analysed.

The results indicate that three independent variables had a direct relationship and significant influence on the WTP for halal logistics among non-Muslim consumers. These variables are concern on halal, knowledge about halal and perception of halal logistics. Meanwhile, the awareness of halal logistics significantly influenced the consumers' WTP for halal logistics, provided that it was mediated by the perception of halal logistics.

Given the gap in research on halal logistics and WTP, this paper presents a consolidated examination of this subject, particularly the WTP of young non-Muslim adults. Furthermore, by including the perception of halal logistics as a mediator, this study leverages the halal logistics knowledge to a new level, thus deepening the understanding of this topic and contributing additional knowledge. This study also presents some opportunities for future empirical research.

This study aims to determine the effect of health knowledge on nutrition-label use and attitude, and consequently on healthy food choice among Malaysian Muslim consumers.

This study adopts the positivist, deductive and quantitative approach. A sample consisting of 257 Muslim consumers, at least 15 years old, were selected using systematic street-intercept sampling method. Data collected using a self-administered questionnaire were analysed using descriptive statistics and structural equation modelling (SEM).

The findings reveal the significant positive effect of health knowledge on nutrition-label use and attitude towards nutrition label, but only attitude towards nutrition label significantly predicts healthy food choice.

Though the findings add to the existing literature, provide useful information on how nutrition label could guide the consumer to make healthier food choices and serve as a reference point that could stimulate and guide future researchers and other relevant parties, this study is limited by several factors that require replication in future research.

This research is perhaps one of the first attempts to consider the role of nutrition label as one of the ways to comply with the Tayyib principle.

The purpose of this study is to demonstrate how alertness enable small and medium scale enterprise (SME) owners to leverage their individual entrepreneurial orientation (IEO) such as risk-taking, pro-activity, innovation, passion and perseverance in a better way to recognize opportunities for financial resources as compared to their counterparts who are not alert. Moreover, it elaborates on the mediating role of opportunity recognition of financial resources between IEO and SMEs’ access to finance (AF).

A three-wave time-lagged survey from a stratified sample of 271 small and medium scale business owners in Pakistan was conducted and the data were analysed using PROCESS models 1 and 4.

The findings grounded in the theory of Action Regulation, signify that the IEO of small and medium scale business owners helps them attain financial resources through opportunity recognition capacity which is an action characteristic. Moreover, the IEO of SME owners, coupled with entrepreneurial alertness (EA; a cognitive pre-action state), amplifies their ability to recognize opportunities for financial resource availability.

This is one of the initial studies to test the IEO scale, including passion and perseverance. Moreover, it has added to the individual-level antecedents of AF in small and medium scale businesses through the role of EA and opportunity recognition.

The world after the pandemic of Covid-19 is looking at a different environment in teaching and learning and primarily being influenced by general online learning readiness. Perception towards the measurement of online learning readiness would also need to change. This study seeks to determine whether Malaysian undergraduate students are ready to study online if the Movement Control Order (MCO) is reimposed.

Using an online poll, this study analysed 299 undergraduate students from Malaysia's public and private universities. The collected data were then analysed using SmartPLS software to test the measurement model and structural equation modelling.

The findings of this study indicate that computer self-efficacy and self-directed learning have a substantially positive link with online learning preparedness among Malaysian undergraduate students.

Findings in this study indicate that universities should draw comprehensive plans to enhance students' readiness in terms of indicators such as technology usage, technology availability, computer and internet efficacy, self-directed learning and attitude. One of the aspects that require change is online communication self-efficacy. Thus, there is a need for improvement, or this would affect undergraduates adversely, especially in the event of future MCO.

The originality of this article lies in the time frame this study was conducted, where cases of coronavirus infection are seen to increase around the world and there is a possibility that movement restrictions will be re-enforced. The findings in this study are expected to give insight to the government in the effort of the national higher education plan. By not undervaluing previous research models, this research model should give a new perspective to the academic literature on online learning among undergraduate students.

Providing loans, particularly to small-scale farmers, is one of the roles of formal financial institutions. Lending to small farmers is risky. An institution's health is closely related to the institution's ability to manage credit and portfolio risk. Expanding smallholder farmers' access to finance while maintaining a sustainable financial system is essential; however, pandemics present additional challenges. Accordingly, as reported in the literature, the pandemic's high loan default rates and decreases in return on assets (ROAs) call for further credit risk management research. There have been limited studies on credit risk management during coronavirus disease 2019 (COVID-19), so this article aims to provide useful information on its influences.

Researchers used data from formal financial institutions in 2018 (before COVID-19) and in 2021 (during COVID-19) to accomplish the study's broad objective. Descriptive and inferential statistics were the main analytical tools. The credit risk management indicators were categorized into collateral management, loan management, loan recovery management, governance and Information and Communication Technology (ICT). Weights were assigned to each category based on the importance to credit risk management. A binary logit model was employed in assessing the factors influencing credit risk management as proxied to loan repayment, while Ordinary Least Square (OLS) was used to examine factors that influence ROAs.

One of the most noteworthy findings is that credit risk management is affected by different factors and magnitudes before and during the COVID-19 era. Loan recovery and ICT management indicators were most influential during the pandemic. In addition, the study noted that low agricultural productivity during the pandemic contributed to an additional challenge in loan default rates because of various COVID-19-containing measures. Additionally, there was a lack of governance and ICT management capacity to drive credit and portfolio risk management during the epidemic.

The paper presents new empirical findings on credit risk management during the COVID-19 era. The study used a methodology which has not been used previously in credit risk management in Nigerian financial institutions. Therefore, this research could become the cornerstone of further academic research in other developing countries using this methodology.

The present study aims to examine and explain cultural heritage destination by applying multiple dimension image model (cognitive–affective–conative aspects).

A total of 233 international heritage-based tourists were surveyed on-site at some of the most prominent historical attractions in Malacca, one of the first cities in Malaysia declared as a UNESCO World Heritage Site. The covariance-based structural equation modelling was applied to examine the hypotheses.

The structural equation modelling validated that cognitive image aspects such as living culture, intangible and tangible are affected positively. The effects are statistically significant for conative and affective images. On the other hand, cognitive tangible image is an aspect that impacted affective image to a lesser degree than conative image. Whereas affective image attributes were found to have significant and positive influence on conative image.

This study enriches the limited empirical research study on heritage image conceptualisation by expanding into tri-component model. The destination image has garnered a great deal of attention, particularly due to its significant and impactful influence on the decision-making and the sustainable behaviour of tourists, and it has since become the subject of many studies in the tourism and hospitality literatures. But most research concerning heritage image for destinations has considered the construct uni-dimensionally.

This study aims to define the parameters of the reward-risk principle in Islamic finance as established in the literature and discuss propositions that are presented on how such a principle is to be applied to Islamic banking products.

A descriptive approach is used to explore the normative parameters and criticisms of the application of reward-risk in Islamic finance.

The study finds that the principle of reward-risk is embodied in the multi-component concept of ʿiwaḍ (counter value) which must be evident in market transactions that involve commercial exchanges. The components include risk, costs, effort, value-adding and capital, all of which apply uniquely to different contractual forms of financing.

The study uses academic literature and industry documents along with modest contact with prominent practitioners who provided general feedback on prevalent Islamic finance industry practices.

This study exposits the variety of approaches in applying the reward-risk principle and sheds light on the primary elements of the principle which will facilitate its greater consideration by the Islamic finance industry.

This study is a meaningful attempt at conveniently summing up and applying the parameters that are considered when discussing the scope of the reward-risk principle in Islamic finance.

The purpose of this study is to identify the reasons for visiting the urban park Antonis Tritsis in Athens, Greece, focusing on visitors’ motives and perceived characteristics of the park. When urban parks are located in areas that are particularly densely populated are characterized as green lungs and are easily accessible to the residents of the municipality. Therefore, the aim of the study is to analyze both the motives and perceived characteristics that visitors attribute in the case of the biggest urban park in Athens, Greece.

The survey was conducted from August 2018 to March 2019 and the responses of 377 visitors were collected. Antonis Tritsis Park is the largest metropolitan park in the Attica, Greece. A principal component factor analysis was used and two-factor models were developed to determine the reasons for visiting the Tritsis Park.

The application of factor analysis revealed the presence of three components in case of the motives for the visit and six components concerning the perceived characteristics of the park. Results suggest that visitors’ motives are related to environmental and social benefits. The park contributes to increased real estate value. Educational and cultural activities are also found as important benefits, whereas lack of safety and limited infrastructure are considered important barriers to revisit the park.

Recognizing the motivations of visitors, policymakers will be able to configure the park infrastructure according to the stated preferences.

Recognizing the motivations of visitors and the perceived characteristics of the park, policymakers will be able to configure the park infrastructure according to the stated preferences. If the services provided by the Tritsis Park are based on the preferences of its visitors, their satisfaction can be maximized and consequently improve the quality of life and contribute to sustainable development.

The innovation of the study is to analyze not only the perceived positive characteristics of the park but also barriers that affect visitors’ revisit intention toward the urban park of Antonis Tritsis. This is important in the case of metropolitan areas because the researchers understand what benefits are provided to them and how public administration should manage barriers to visiting urban parks so as to promote effective sustainability.