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The aim of this research is to measure the impact of eWOM (electronic word of mouth) and brand celebrity use on the purchasing behavior of sports consumers.

To test the model hypotheses, sports consumers who use social media and have purchased at least one online sports product were selected as the research group. Online survey method was used, and 836 participants were reached. The model was tested with structural equation modeling (SEM) through smart PLS software.

As a result, the quality, credibility and usefulness of the information consumers encounter on online platforms cause them to adopt information about products or services, and then exhibit online purchase behavior. While the attractiveness and trustworthiness of celebrities are seen as important factors affecting consumers' online purchase of sports products, the effect of celebrity expertise was found to be ineffective in this study.

Marketers can develop more effective eWOM strategies by considering consumers' expectations. Businesses that want to implement an effective marketing strategy may prefer celebrities in product promotions or advertisements of their brands.

This research revealed the effect of eWOM and celebrity endorsement on the online purchase behavior of sports consumers in terms of the sports industry. Unlike previous studies, this study examined these variables together on sports consumers and contributed to the development of models.

This study investigated the relationship between last-mile distribution or delivery (LMD) and commodity access through the mediating role of commodity availability and commodity security and the moderating effect of supply chain integration (SCI).

The study adopted the survey research design and employed the questionnaire instrument in collecting primary data from respondents in Eastern Regional Health Institutions in Ghana. The total number of valid responses received was 204. The partial least squares structural equation modeling (PLS-SEM) approach was adopted to analyze the relationship between the study variables.

The findings showed that there is a positive and significant relationship between LMD and commodity availability as well as LMD and commodity security. Moreover, while the relationship between commodity availability and commodity access is positive and significant, that between commodity security and commodity access is positive but insignificant. Furthermore, there is a positive and statistically significant relationship between LMD and commodity access. The study discovered that the interaction between LMD and commodity access is insignificant and negatively affected by SCI.

To the best of the authors' knowledge, no previous studies have empirically verified the effect of LMD on commodity access in the presence of mediating factors such as commodity availability and commodity security and SCI as the moderating factors.

This study aims to reveal the impact of e-learning on accounting education amid COVID-19 in Jordanian universities from the viewpoint of faculty members.

The questionnaire is used as a study instrument distributed to faculty members at the Accounting Departments of the Jordanian public and private universities. Due to the COVID-19 pandemic, Google Forms has been used to distribute 117 questionnaires that have been analyzed via the partial least squares-smart program.

The results show a negative impact of learning difficulties on accounting education, a negative impact on the personal skills of faculty members on the digitization of accounting education, no impact on the personal skills of faculty members, a positive impact on training courses, the use of technology on accounting education and the digitization of accounting education, as well as a positive impact on the skills of faculty members on the digitization of accounting education.

These results are significant in determining the adequacy of online learning for accounting education at the Accounting Departments of Jordanian public and private universities from the viewpoint of faculty members amid COVID-19.

This study highlights the impact of the e-learning system imposed amid COVID-19 on accounting education, teaching efficiency and the future of accounting education.

The purpose of this study is to identify the factors that influence the willingness of Saudi Arabian students from four universities in Saudi Arabia, to adopt learning management systems (LMSs). This will be accomplished by using two popular technology acceptance models unified theory of acceptance and use of technology (UTAUT) and theory of planned behavior (TPB).

In total, 445 undergraduates from four Saudi educational institutions participate in filling out the study questionnaire. To investigate the correlations between the variables, the study used structural equation modeling for data analysis.

The results of the study show that effort expectancy (EE), subjective norm (SN), attitude toward behavior (ATB) and perceived behavioral control (PBC) are found to be substantially connected with their intentions to use (ITU) LMSs. The findings also show that there is a strong relationship between students’ intentions and their actual use of LMSs.

Like many studies, this research has some limitations. The primary limitation is that the findings of the study cannot be extrapolated to other settings since the report’s analysis and investigation were limited to four Saudi universities. Therefore, to generalize the study’s findings, similar research needs to be conducted in other Gulf and similar cultural universities.

The integrated model identifies key factors that influence the intent of Saudi Arabian students to use LMS, including EEs, social influence, ATB and PBC. This model can help develop solutions for the obstacles that prevent students from using LMS. The findings can be used to provide assistance to increase the likelihood of LMS acceptance as part of the educational experience. The model may also inspire further research on this topic in the Gulf nations, particularly in Saudi Arabia.

As none of the relevant studies conducted previously in Saudi Arabia has integrated the two models to study the students’ ITU LMSs, this study combines two major theories, TPB and UTAUT, in the context of Saudi Arabia, contributing to the field of technology use in education by expanding empirical research and providing a thorough understanding of the challenges associated with the use of LMS in Saudi universities. This study should be viewed as filling a crucial gap in the field. Moreover, this integrated model, using more than one theoretical perspective, brings a thorough comprehension of the barriers that hinder students’ adoption of LMSs in the academic context in Saudi Arabia and thus assists in making effective decisions and reaching viable solutions.

Construction projects in Malaysia are often delayed and over budget due to heavy reliance on labor. Linear regression (LR) models have been used in most labor cost (LC) studies, which are less accurate than machine learning (ML) tools. Construction management applications have increasingly used ML tools in recent years and have greatly impacted forecasting. The research aims to identify the most influential LC factors using statistical approaches, collect data and forecast LC models for improved forecasts of LC.

A thorough literature review was completed to identify LC factors. Experienced project managers were administered to rank the factors based on importance and relevance. Then, data were collected for the six highest ranked factors, and five ML models were created. Finally, five categorical indices were used to analyze and measure the effectiveness of models in determining the performance category.

Worker age, construction skills, worker origin, worker training/education, type of work and worker experience were identified as the most influencing factors on LC. SVM provided the best in comparison to other models.

The findings support data-driven regulatory and practice improvements aimed at improving labor issues in Malaysia, with the possibility for replication in other countries facing comparable problems.

The purpose of this study is to develop a new framework to measure waqif preference of waqf-based qardhul hassan financing in Malaysia.

Using a maqāṣid approach, this study’s data were drawn from 286 valid usable questionnaires to examine the effects of consumer, family, ummah and humanity factors on the preference.

The study found that the said factors sourced from Attia’s maqāṣid al-Shariah were instrumental in determining waqif preference to donate in waqf-based qardhul hassan financing.

Like others, this study’s findings are limited in terms of their generalisations and applications. The theory, context and variables used should be expanded in future works.

The results obtained are useful as a yardstick to enable the offered waqf-based qardhul hassan financing for improved mutual well-being among different classes of the wealth of societal groups in Malaysia. Furthermore, the results provide valuable insights into the direction for practitioners mainly managers involved in introducing waqf-based qardhul hassan financing as a new Islamic social financial instrument for poor and needy folks, at best.

This study is novel in terms of the proposed conceptual framework, where the waqif perspective comes into play.

Despite the huge financial resources associated with oil, Nigeria has consistently recorded poor growth performance. Therefore, this study aims to examine how corruption and oil rent influence Nigeria’s economic performance during the 1996–2021 period.

Various estimation techniques were used. These include the bootstrap autoregressive distributed lag (ARDL) bounds-testing, dynamic ordinary least squares (DOLS), the fully modified OLS (FMOLS) and the canonical cointegration regression (CCR) estimators and the Toda–Yamamoto causality.

The bounds testing results provide evidence of a cointegrating relationship between the variables. In addition, the results of the ARDL, DOLS, CCR and FMOLS estimators demonstrate that oil rent and corruption have a significant positive impact on growth. Further, the results indicate that human capital and financial development enhance economic growth, whereas domestic investment and unemployment rates slow down long-term growth. Additionally, the causality test results illustrate the presence of a one-way causality from oil rent to economic growth and a bi-directional causal relationship between corruption and economic growth.

Existing studies focused on the effects of either oil rent or corruption on growth in Nigeria. Little attention has been paid to the exploration of how the rent from oil and the pervasiveness of corruption contribute to the performance of the Nigerian economy. Based on the outcome of this study, strategies and policies geared towards reducing oil dependence and the pervasiveness of corruption, enhancing human capital and financial development and reducing unemployment are recommended.

This study investigated consumers' satisfaction with local rice attributes and willingness to pay (WTP) for improvement by internal migrants and natives in urban Ghana.

Primary data was sourced from 304 urban consumers and ordered probit regression was employed.

Urban consumers had higher satisfaction with imported rice attributes than local rice. Consumers were unsatisfied with aroma, availability/accessibility, cleanliness, packaging, grain appearance, measurement standard, and taste of local rice. Moreover, 90% were willing to pay higher prices for local rice with improved attributes and WTP was higher among natives than migrants. Averagely, urban consumers are willing to pay 51% increase in market price of local rice if attributes were improved. Natives, males, educated, high-income, local rice consumption, shopping from supermarkets, trust in certification bodies, and dissatisfaction with local rice attributes boost WTP for improved local rice attributes.

There is a great market potential for local rice with improved attributes. Thus, there should be an improvement in local rice attributes and sold at moderate price and in supermarkets.

We compared consumers' satisfaction and WTP for improved local rice attributes among internal migrants and natives in urban Ghana.

Seasonal influenza epidemics accounted for significant morbidity and mortality loads worldwide despite the availability of a safe vaccine as an efficient tool against severity of the disease. However, the uptake of the latter was sub-optimal. This study aims to identify predictors and barriers related to seasonal influenza vaccine uptake in the Kingdom of Bahrain.

A cross-sectional study enrolled 502 individuals attending primary healthcare centers in Bahrain for ambulatory care between July and August 2022. The data were collected using an interviews-based questionnaire which included questions on demographic data, knowledge and attitudes and practices toward influenza vaccine. The authors identified the barriers as well as the determinants of the vaccine uptake and its recommendation to others.

The mean age of participants was 35.07 years (SD = 13.9). Most of the respondents were Bahraini (86.5%) and 53.4 % were females. The results revealed that 34.1% have previous information about the influenza vaccine and 36.9% versus 69.9% are willing to receive the vaccine or advice it to others, respectively. Determinants of vaccine uptake were identified.

This study confirmed a sub-optimal influenza vaccine acceptance in the general community of Bahrain despite a global access in primary care. Health professionals need to be more proactive in mobilizing the community and particularly females toward influenza vaccination.

The purpose of this study is to examine donors’ or waqifs’ desire for waqf-based qardhul hassan financing in Malaysia using a maqasid method, where a pragmatic approach is used.

Using judgemental sampling, a total of 275 waqifs participated in this work to identify their preference in donating their money to the facility should it is introduced. Using the developed waqf-based qardhul hassan scale (WAQASCALE), this study examined the preference accordingly. Data were analysed using IBM SPSS 27.

The results obtained were as follows: the first factor considered by the waqifs in donating money was perceived household well-being, followed by perceived recipients’ welfare, perceived mankind benevolence and perceived Muslims’ community security.

The authors developed construct items that had generalisability issues as they were at the infancy stage of development among social finance scientists along with the narrow geographical constraint where the actual survey was conducted.

The results were useful in giving new guidance to state governments and Islamic banks (IBs) in Malaysia to explore further this sort of facility for the improved well-being of those affected by COVID-19. Besides, sustainable development goals (SDGs), such as poverty, hunger and responsible consumption, among others can be addressed effectively for the mutual well-being of those affected by the health crisis in an effort of combating financial hardships in the meeting of basic needs, at least. The partnership between the state government and IBs could lead to the offered qardhul hassan financing-sourced funding from waqf for reduced financial hardships by needy and poor folks.

This study introduced a new WAQASCALE in the context of qardhul hassan financing in Malaysia.