Search results

The Indonesian Waqf Board and United Nation Development Program are developing green waqf in Indonesia. Development of green waqf in Indonesia as a response to save the earth from environmental damage and other social impacts. This paper aims to measure public perceptions about willingness to participate in making donations to the green waqf program in Indonesia.

Modifying the Theory of Reasoned Action framework, questionnaire data were collected from 311 Muslims in Indonesia. Data were analyzed using the partial least squares structural equation modeling method.

The findings show that attitude, subjective norm, product knowledge and trust influence the Muslims in Indonesia to donate to green waqf. In contrast, Islamic religiosity harms the intention to donate in green waqf but is insignificant.

This research was conducted using a quantitative approach with a limited sample of several communities, so the results cannot be generalized. Further investigation needs to be carried out by involving a more diverse sample to get better results. However, the results of this study can be used as an illustration of how Muslims behave in donating green waqf.

These results imply that to develop green waqf in Indonesia, especially in attracting waqf candidates willing to make donations, waqf institutions must carry out engineering to shape the attitude of prospective donors through various activities such as socialization and education of the green waqf program. Waqf institutions must also build public trust by involving public figures to campaign for the green waqf program. This will likely increase prospective donors’ active participation in donating their money to develop green waqf in Indonesia.

Waqf is a severe concern for the Indonesian Government, including waqf for the environment. To the bets of the authors’ knowledge, this paper is the first attempt to look at the behavior of the green waqf model in Indonesia. Thus, the acceleration of waqf development can be realized and is expected to impact the community significantly.

This research aims to systematically review studies on significant risks for Critical Infrastructure Projects (CIPs) from selected top-tier academic journals from 2011 to 2023.

In this research, a three-step systematic literature review methodology was employed to analyse 55 selected articles on Critical Infrastructure Risks (CIRs) from well-regarded and relevant academic journals published from 2011 to 2023.

The findings highlight a growing research focus on CIRs from 2011 to 2023. A total of 128 risks were identified and grouped into ten distinct categories: construction, cultural, environmental, financial, legal, management, market, political, safety and technical risks. In addition, literature reviews combined with questionnaire surveys were more frequently used to identify CIRs than any other method. Moreover, oil and gas projects were the subjects most often explored in the reviewed papers. Furthermore, it was observed that publications from Iran, the USA and China dominated CIRs research, making significant contributions, accounting for 49.65% of the analysed articles.

This research specifically focuses on five types of CIPs (i.e. roadways, bridges, water supply systems, dams and oil and gas projects). Other CIPs like cyber-physical systems or electric power systems, were not considered in this research.

Governments and contracting firms can benefit from the findings of this study by understanding the significant risks associated with the execution of CIPs, irrespective of the nation, industry or type of project. The results of this investigation can offer construction professionals valuable insights to formulate and implement risk response plans in the early stages of a project.

As a novel literature review related to CIRs, it lays the groundwork for future research and deepens the understanding of the multi-faceted effects of these risks, as well as sets practical response strategies.

This study intends to extend the unified theory of acceptance and use of technology (UTAUT) model by integrating perceived enjoyment as an intrinsic motivation so as to investigate factors influencing Chinese undergraduate English as a Foreign Language (EFL) students' intention to use ChatGPT for English learning.

A cross-sectional quantitative survey method research design was used in this study. Data were collected from 432 undergraduate students at two Chinese universities. The data analysis was carried out using SmartPLS 4, a computer software that employs the partial least squares structural equation modelling (PLS-SEM) technique. The analysis of the model was performed in two stages, including the assessment of reflective measurement model and structural model. The PLS predict was utilized to assess the model’s predicting power.

Findings showed that effort expectancy, performance expectancy, social influence and perceived enjoyment were positively related to Chinese undergraduate EFL learners' intention to use ChatGPT for English learning. Perceived enjoyment mediated the relationships between effort expectancy, performance expectancy, social influence and intention to use ChatGPT for English learning respectively.

Through incorporating the perceived enjoyment as an intrinsic motivation into the UTAUT model to explore factors that impact Chinese undergraduate EFL learners' intention to use ChatGPT for English learning, this study has extended the applicability of the UTAUT model and provide insights into factors affecting students' intention to utilize ChatGPT or other AI-based technologies for English learning.