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Predicting commodity futures trading volumes represents an important matter to policymakers and a wide spectrum of market participants. The purpose of this study is to concentrate on the energy sector and explore the trading volume prediction issue for the thermal coal futures traded in Zhengzhou Commodity Exchange in China with daily data spanning January 2016–December 2020.

The nonlinear autoregressive neural network is adopted for this purpose and prediction performance is examined based upon a variety of settings over algorithms for model estimations, numbers of hidden neurons and delays and ratios for splitting the trading volume series into training, validation and testing phases.

A relatively simple model setting is arrived at that leads to predictions of good accuracy and stabilities and maintains small prediction errors up to the 99.273th quantile of the observed trading volume.

The results could, on one hand, serve as standalone technical trading volume predictions. They could, on the other hand, be combined with different (fundamental) prediction results for forming perspectives of trading trends and carrying out policy analysis.

The concept of lifelong learning and learning culture in education generally refers to the continuous acquisition of knowledge and skills throughout one's life, extending beyond formal education while learning culture is the creation of learning opportunities, resources and support systems that empower individuals to continuously enhance their knowledge and skills. Lifelong learning and a learning culture contribute significantly to the realization of SDG 4 by promoting inclusive, equitable and quality education that prepares individuals for a lifetime of learning and adaptation in a changing world. This paper aims to identify the level of understanding of school’s community regarding these concepts and measuring the implementation level and readiness of primary schools across Malaysia.

Employing a mixed-methods approach, the initial qualitative phase involved interviewing teachers to know their level of understanding regarding the concept of lifelong learning and learning culture. The subsequent quantitative phase assessed the readiness and implementation level of 35 primary schools across Malaysia.

An interview that been done has successfully collected the viewpoints of teachers about lifelong learning and learning culture. A survey administered to primary schools affiliated with the MUSLEH organization affirmed the readiness and implementation level of schools in which it was found that most of the schools has high degree of awareness and understanding regarding the significance of the concepts to be implemented in the education system.

This study's contributions extend beyond academia, offering insights for educators and policymakers alike. The findings can inform education ministries, curriculum developers and stakeholders, aiding them in providing substantial support to educators aligning with the principles of the Sustainable Development Goals (SDG).

This study aims to draw lessons from the financial technology (FinTech) ecosystem literature through a systematic literature review.

This study systematically studied a sample of 134 articles from the Scopus database to assess the pattern of research development within the scope of the FinTech ecosystem over the last 15 years (2008–2023).

The results obtained indicated that the current research focus leads to several aspects: digital technology and financial inclusion, FinTech and customer behavior, FinTech ecosystem, business model, as well as aspects of governance and regulation. In the effort to develop Islamic FinTech, some aspects that might be targeted include aspects of business development and the Islamic FinTech ecosystem in general, extending financial inclusion to governance and managerial implementation of Islamic FinTech itself.

This research has limitations because it did not focus on the study of more specialized sectors, such as insurance or microfinance institutions, in adopting FinTech, requiring the use of other specifications of institutions in addition to Islamic banking.

This research has substantial theoretical implications in mapping the intellectual structure of Islamic FinTech research, which has been underexplored by previous researchers, as well as providing essential information about which sectors should be prioritized to encourage inclusiveness and overall performance of financial institutions.

This research explores more deeply with a comprehensive approach so that it becomes a pioneer in the study of FinTech ecosystem literature for the development of Islamic FinTech.

The maritime industry, a linchpin of global trade, has embarked on a transformative journey catalysed by the relentless advance of digitalisation. There is a discernible gap in the literature concerning the specific consequences of digitalisation within the maritime sector. This research aims to examine the current body of literature on the influence of digitalisation in human resource development (HRD) on the competitive advantage of organisations and its potential within the maritime industry.

This research paper conducts a comprehensive bibliometric analysis.

The findings of this research explore the literature landscape encompassing digitalisation in HRD, its influence on HR operations, learning and development, performance management, employee experience and strategic alignment within maritime organisations.

This research provides valuable recommendations for maritime organisations and HRD practitioners seeking to leverage digitalisation to gain a competitive edge. Thus, the maritime industry can adopt digital HRD practices to streamline operations, improve performance and align HR strategies with broader organisational goals.