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This paper investigates the vibration compaction mechanism and evaluates the impact of vibration frequencies on the stability of coarse-grained soil, aiming to optimize the subgrade filling process.

This study examines the vibratory compaction behavior of coarse-grained soils through indoor vibration tests and discrete element simulations. Focusing on angular gravel (breccias) of varying sizes, the simulations were calibrated using parameters such as Young’s modulus, restitution and friction coefficients. The analysis highlights how particle shape influences compaction, revealing mesoscopic mechanisms that drive macroscopic compaction outcomes.

This study investigates the influence of vibration frequency on the compaction behavior of coarse-grained soils using discrete element simulation. By analyzing particle contact and motion, the mesoscopic mechanisms driving compaction are explored. The study establishes a positive linear correlation between contact force anisotropy (Cv) and deformation, demonstrating that higher anisotropy leads to greater structural disruption. Additionally, the increase in sliding contact percentage (SCP) at higher frequencies indicates instability in the skeletal structure, driven by uneven contact force distribution. These findings reveal how frequency-induced stress concentration affects the stability and deformation of the soil skeleton.

This research explores the effect of various vibration frequencies on the compaction behavior of coarse-grained soils, examining microscopic interactions to reveal their impact on soil stability and deformation.

Unlike previous research that primarily utilized structural equation modelling (SEM) to evaluate safety hazards in subway projects, this research aims to utilize a hybrid approach to investigate and scrutinize the key indicators of safety hazards leading to accidents, thereby hindering the progress of subway projects in China, taking into cognizance the multiple stakeholder’s perspective.

By administering a survey questionnaire to 373 highly involved stakeholders in subway projects spanning Changsha, Beijing and Qingdao, China, our approach incorporated a four-staged composite amalgamation of exploratory factor analysis (EFA), confirmatory factor analysis (CFA), covariance-based structural equation modelling (CB-SEM) and artificial neural network (ANN) to develop an optimized model that determines the causal relationships and interactions among safety hazards in subway construction projects.

The optimized model delineated the influence of individual safety hazards on subway projects. The feasibility and applicability of the model developed was demonstrated on an actual subway project under construction in Changsha city. The outcomes revealed that the progress of subway projects is significantly influenced by risks associated with project management, environmental factors, subterranean conditions and technical hazards. In contrast, risks related to construction and human factors did not exhibit a significant impact on subway construction progress.

While our study provides valuable insights, it is important to acknowledge the limitation of relying on theoretical approaches without empirical validation from experiments or the field. In future research, we plan to address this limitation by assessing the SEM using empirical data. This will involve a comprehensive comparison of outcomes derived from CB-SEM with those obtained through SEM-ANN methods. Such an empirical validation process is crucial for enhancing the overall efficiency and robustness of the proposed methodologies.

The established hybrid model revealed complex non-linear connections among indicators in the intricate project, enabling the recognition of primary hazards and offering direction to improve management of safety in the construction of subways.

Generation Z (Gen-Z), sometimes known as “digital natives”, represents the first generation to become immersed in digital communication. In a multicultural environment, this study aims to explore which types of factors are most beneficial in connection with Gen-Z’s impulsive purchase behaviour.

This study adopts an exploratory sequential mixed-method design, incorporating both qualitative and quantitative approaches. In Study 1, focus group discussions are conducted to address “why” and “how” questions, whereas Study 2 uses a quantitative method to test the hypothetical model. The model is assessed using structural equation modelling. This study used the stimulus–organism–response (SOR) framework in the context of Instagram.

Building on Mehrabian and Russell’s (1974) concept and focus group discussions, Study 1 introduces a novel SOR model tailored to Instagram. In Study 2, the model is tested, and results confirm most hypotheses, except for three. Factors such as aesthetic appeal, scarcity promotions and discounted prices stimulate impulse buying behaviour in Gen-Z. Positive emotional responses evoked by these factors also influence impulse buying, whereas the impact of negative emotional responses is found to be insignificant.

This mixed-methods study enhances the theoretical understanding of Gen-Zers’ impulse buying behaviour by highlighting the influence of diverse independent variables. By using the SOR framework, it reveals the intricate emotional aspects impacting impulsive purchase decisions. The research provides new insights into online impulsive buying behaviour, particularly relevant to consumer psychology and behavioural economics among young collectivist consumers.

To analyze the challenges and intricacies involved in managing the physical and administrative aspects of central mosques, with a specific focus on the Kumasi Central Mosque in Ghana. Through this case study, the paper aims to provide insights into the unique estate management practices and design a conceptual framework that incorporates efficient estate management practices for Ghana’s central mosques.

The study adopted a mixed-methods approach. Structured questionnaires were used to gather the data administered to the head of the development office, maintenance workers and mosque users. The data were analyzed using descriptive methods.

The overall findings of the study indicate that the estate management practices of the mosque are having difficulties financing maintenance. Other difficulties include the type of maintenance regime, the period of planned maintenance, the lack of an asset register, the absence of insurance policies and the causes of emergency maintenance.

The research provides valuable insights into the management of central mosques in Ghana and offers scalable practical recommendations such as adopting a planned maintenance regime, insuring mosque facilities and implementing comprehensive recording-keeping guidelines guided by policies.

The paper will assist stakeholders in comprehending the most practical approach to mosque estate management practices.

The purpose of this paper is to develop a comprehensive list of key performance indicators (KPIs) that can be employed in determining the functional performance of academic and research laboratory facilities.

The study employed a two-phase approach. First, a thorough literature review was conducted to identify potential KPIs specific to the performance of laboratory facilities. This was followed by an assessment of the KPIs by 12 respondents including 6 professionals and 6 users. The KPIs were arranged in the form of a questionnaire survey containing response columns for agree/disagree, and importance rating scales for evaluation. The relative importance index values were also computed.

The result of the study was a comprehensive list of 161 KPIs classified into nine categories including: space, access/circulation, utilities and waste, environmental conditions, furniture, appearance/finishes/image, communications, storage within the space and special building features. These KPIs were perceived to be at varying levels of importance by the respondents.

Though previous studies developed KPIs for the performance of facilities, these KPIs are not universal. Thus, the originality of this study is in its identification of a comprehensive set of KPIs unique to the design, evaluation and management of research and academic laboratory facilities.

The primary aim of this study is to explore challenges and prospects of Islamic banking system in non-Muslim states to foster regulatory frameworks of the system.

Content analysis as an integral part of qualitative research was used. Secondary data through the exploration of cursory literature was taken into consideration.

The findings identified three prime challenges, namely, regulatory, operational and institutional, which are impeding the smooth activities and performances of Islamic banks in using innovative Islamic products and services that can favourably compete with products and services of conventional banking system in non-Muslim states. In addition, strengthening the adoption and performance of Islamic banking in non-Muslim states can efficiently and effectively address the identified and multifarious regulatory, operational and institutional challenges to achieve financial inclusion and overall economic growth.

Challenges encountered and prodigies or potentials of operating Islamic banking system by most of non-Muslim countries remains a pivotal aspect that needs research attention in the recent.

Nonetheless, the limitation of this study is that the study relies on the use of secondary data. However, it has provided a substantial direction for future studies in empirically exploring the variables of this study.

Indeed, 19th century was a remarkable turning point in the development and expansion of Islamic banking system in the Muslim world. Many predominant Muslim countries such as Malaysia, Indonesia, Saudi Arabia, Bangladesh, Pakistan, among others have been efficiently and effectively operating Islamic banking system within the framework of Islamic legal provisions. Many non-Muslim countries such as Australia, the UK, USA, etc., have also adopted Islamic banking system.

It is noted that policy directions of the study among others should address the regulatory frameworks that is Shari’ah-compliant in the operation of Islamic banking system in non-Muslim states. It is therefore suggested that the policymakers, Islamic financial experts and regulators should use the innovation that could bring competitiveness into the operation of Islamic banking system in non-Muslim states.

The purpose of this paper is to examine the effect of measures to combat Corona Virus Disease 2019 (COVID-19) pandemic on competitiveness in tourism in Nigeria taking strategic dexterity as the moderating variable.

Survey research design approach was used for the study. A total of 235 valid questionnaires gathered from the personnel of ten urban tourist centres in Nigeria were used to examine the goodness of model fit, measurement model and structural correlations between constructs. Partial least squares structural equation modelling approach (PLS-SEM) using Advanced Analysis for Composite (ADANCO 2.2.1) was used to evaluate the hypotheses.

This study finds that travel restriction, boarder closure and strategic dexterity were significant to competitiveness, among which border closures has generated the highest path coefficient. Moreover, the study finds a significant moderating role of strategic dexterity between travel restrictions, border closure and competitiveness. Future studies can reproduce the study by incorporating mediating variables covering the all-tourist centers in Nigeria.

This study might be valuable for tourism-related stakeholders, researchers and policy makers as the result finds indicate strong effect of travel restrictions, border closure on competitiveness of urban tourism. Equally, the study provides new insight as the findings shows a significant moderating role of strategic dexterity between travel restrictions, border closure and competitiveness.

This study might be valuable for tourism-related stakeholders, researchers and policy makers as the result finds indicate strong effect of travel restrictions, border closure on competitiveness of urban tourism. The study provides new insight as the findings shows a significant moderating role of strategic dexterity between travel restrictions, border closure and competitiveness.

This study is among the few that analyses the effect of measures to combat COVID-19 pandemic on competitiveness in the urban tourism: strategic dexterity as the moderating variables. This study also contributes methodologically through the introduction of PLS-SEM approach.

The internet creates ample opportunities to start a mobile social commerce business. The literature confirms the issue of customer trust for social commerce businesses is a challenge that must be addressed. Hence, this study aims to examine the antecedents of trust in mobile social commerce by applying linear and non-linear relationships based on partial least squares structural equation modeling and artificial neural network model.

This study applied a non-linear artificial neural network approach to provide a further understanding of the determinants of trust in mobile social commerce based on a non-linear and non-compensatory model. Besides, a questionnaire was distributed to 340 social commerce customers in Malaysia.

The conceptual framework for investigating trust in mobile social commerce has various advantages and contributions to predicting consumer behavior. The results of the study showed there is a positive and significant relationship between social support, presence and unified theory of acceptance and use of technology2 (UTAUT2). In addition, UTAUT2 has fully mediated the relationship between social support, presence and trust in social commerce. Finally, the results concluded the relationship between UTAUT2 and trust in social commerce would be stronger when the diffusion of innovation and innovation resistance is high and low, respectively.

The current study provides a novel perspective on how customers can trust social m-commerce to provide real solutions to managers of encouraging e-marketing among consumers.

This paper shows how businesses can develop trust in social m-commerce in Malaysian markets. The findings of this study probably could be extended to other businesses in Asia or other countries. Because trust in social e-commerce has a dynamic role in consumer behavior and intention to purchase.

This study provided a new perspective on mobile social commerce and paid more attention to an investigation of such emerging commerce. The originality of this study is embodied by investigating an integrated model that included different theories that presented new directions of trust in mobile social commerce through social and behavioral determinants.

This study aims to synthesize the existing literature with insights gained from interviews conducted with regulatory experts. The objective is to analyse the challenges associated with incorporating cryptocurrencies into regulatory frameworks and to explore constraints in the regulatory institutionalization of cryptocurrencies.

The study methodology consists of two steps. The first step is to identify regulatory constraints in the literature review and in the next step, interviews are conducted with officials of the State Bank of Pakistan (SBP). The study used a qualitative case study methodology, in which a single case (regulatory constraint) was selected as a unit of analysis.

The findings show that lack of traceability, legal status, lack of governmental control due to decentralization, difficulty enforcing laws, volatility, lack of skills with regulators and difficulty integrating cryptocurrencies into the current financial system are the main obstacles to the introduction of a regulatory framework. Thus, on a broader conceptual level, the findings can be grouped into opportunism, lack of strategic capability and fragmented global laws.

This study could inform global cryptocurrency regulation discussions, sharing a developing country’s views on balancing the government, central banks, the financial sector and public interests. This could guide countries to consider cryptocurrency adoption in similar situations. This could affect the cryptocurrency market, impacting demand, supply and investor trust in Pakistan.

The study has implications for policy making officials. The research aims to offer valuable insights to the SBP and other regulatory authorities, helping them identify potential risks and create an effective regulatory framework for cryptocurrencies.

The study has implications for society in knowing about the volatile nature of cryptos and anonymity of their issuers, which poses regulatory constraints. This then implies its harmfullness to its traders and the huge losses that may arise from their trading due to its volatile nature.

This study contributes to the literature on the constraints, responsibilities and consultation framework of cryptocurrency regulations.