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In the next decade, it is estimated that a large percentage of individuals with autism spectrum disorder (ASD) will become of working age. With this projection, there is an urgent need to expand employment opportunities and to find ways to support individuals with ASD on the job. However, very minimal research investigates organizational practices needed to integrate individuals with autism in the workplace successfully. Training is one company practice that can significantly impact the behavior and work outcomes of individuals with ASD. Despite the importance of training interventions, research focused on relevant training techniques for individuals with ASD is lacking and fragmented. This chapter summarizes the types of training that are appropriate and most often utilized to foster skill development and aid employment outcomes for Generation A.

This paper aims to investigate the impact of female director affiliations to governing families on corporate social responsibility (CSR) disclosures in the context of Bangladeshi firms.

This study uses a quantitative empirical research method grounded in Socioemotional Wealth (SEW) theory. Data was sourced from Bangladeshi publicly listed non-financial sector companies’ annual reports and stock exchange trading and publication reports and consists of 2,637 firm-year observations from 1996 to 2011. Pooled multivariate regression models are used to test the association between corporate social and environmental disclosure and female directors, and the family affiliation (or not) of those directors.

The findings provide strong evidence that female directors who are affiliated to the governing family, founders and other board members reduce CSR disclosure in family firms; unaffiliated female board directors enhance CSR disclosure, and this effect is significant in both family and non-family firms.

Definitions of family firms and affiliated directors may lead to over-generalization in the results.

The study highlights variation in the nature of female board appointments in emerging market family-controlled firms. The findings bring attention to the role of affiliated female director appointments in family ownership structures and speak directly to family business owners, advisors and policy makers about the importance of unaffiliated female directors as catalysts of improved CSR disclosure in family and non-family firms.

This study aims to evaluate the knowledge structure of halal certification in food and beverages. The growth of the Muslim population and the expanding economic activities among the Muslim community have necessitated extensive and comprehensive halal certification, particularly in food and beverage products.

Through a science mapping approach, this study explores the knowledge structure based on past publications in food and beverages and its association with halal certification, logos and brands. Applying bibliographic coupling and co-word analysis, the present and future trends of halal certification in food and beverages are explored by presenting a network visualization to present the underlying themes and research streams.

The main finding from recent and emerging themes shows that the pivotal perspective is increasing consumers’ knowledge and awareness of halal-certified food products. Future trends stemming from the co-word analysis suggest the importance of exploring consumer halal food product determinants.

This study is relevant to stakeholders, scholars and practitioners, particularly in disseminating information and voice on the importance of halal-certified food products that are recognized as having better quality and contributing to environmental sustainability.

This study aims to analyse the mechanism of trust instrument from a Shariah point of view. Analysis of the mechanism would determine the extent to which its implementation can resolve estate planning issues such as frozen estate and the issue of naming beneficiaries under the age of 18.

This is a qualitative study method through library research. To explore the mechanism of trust instrument, an in-depth interview with five participants using purposive sampling and analyses of documents were used. The selection of this sample allows the researcher to obtain specific data in their field of expertise. Therefore, two officers from the Trust Administration Department of Amanah Raya Berhad (ARB) and three Shariah advisors from ARB (MPS ARB) were interviewed to find out the mechanism of trust instrument from the Shariah perspective. The researcher also referred to the trust deed documents, ARB company policies, field case studies such nomination cases and trust accounts, articles and court cases.

The trust instrument meets Shariah requirements even though it is based entirely on the Civil Law. The comprehensive and flexible features of trust deeds can help donors to plan systematically during their lifetime.

This study only focuses on the trust instruments that are currently being implemented in the ARB. Five trust products were analysed to achieve the objectives of the study, namely, the Normal Trust, Safecare and Safecare Premium, Takaful Care, Hibah (literally “gift”) as well as Trust and Declaration of Hibah.

The implementation of trust instrument at an early stage can ensure the property is well managed through a trust deed, guarantee the life of the beloved heirs after the death of the donor and prevent the property from being frozen.

This study comprehensively describes the trust instrument from the Shariah perspective and its implementation mechanism in the industry.

This study uses second-order measurement invariance analysis to investigate the perspective of gender divide on whether corporate social responsibility (CSR) can serve as a promotional tool for halal certified companies in Malaysia. Perhaps researching into the perspective of gender on whether CSR can serve as a promotional tool has either been ignored or received limited attention among the researchers from this domain. Hence, this study aims to fill this gap.

In the quest to achieve the mentioned aim, quantitative research design was adopted for this study and the developed questionnaire was used to collect data from 295 respondents, consisting of 172 males and 123 females. In analysing the data, this study has mainly used second-order measurement invariance analysis to uncover the difference across gender divide on whether CSR can serve as a promotional tool for halal certified companies.

The findings of this study reveal two perspectives to the issue of interest in this study. The tests of measurement invariance at the model level suggest a significant difference between male and female to a certain extent. The post hoc test (at the path level) reveals that there are significant differences between gender divide with respect to responsible dealings with clients and legal responsibility only. However, there are insignificant differences between them in connection with commitment to halal best practices, zakat and charitable donations, environmental responsibility, halal economic responsibility and employee welfare. Nonetheless, both gender groups agree that CSR activities will promote halal certified companies if these activities are appropriately communicated to halal consumers.

The authors acknowledge that limitations cannot be avoided in any study, such as this study, where a nonprobability sampling technique is used. The respondents were largely drawn from Klang Valley in Malaysia; although Klang Valley’s population represents about a quarter of Malaysia’s total population, the authors admit that the opinions of the respondents may not represent the opinions of others in the country, and this may consequently limit the generalisability of the findings. Also, the authors acknowledge that self-report survey data is subject to response bias, which may reduce the accuracy of the data that were sourced from the respondents; though respondents were constantly reminded to respond honestly to all the questions in the questionnaire.

This study has uniquely employed second-order measurement invariance analysis to investigate the perspective of gender divide on whether CSR can serve as a promotional tool for halal certified companies in Malaysia. This study will enrich literature in this area of study.

This study aims to investigate how the COVID-19 pandemic has impacted the growth of FinTech within the Jordanian context. Specifically, it examines the antecedent factors influencing users’ intentions to adopt and use FinTech services during this unprecedented period.

A quantitative research method approach with partial least squares-structural equation modelling was used to test the research proposed model.

The results of the structural path revealed that the drivers of behavioural intentions to use FinTech services are perceived usefulness, perceived self-efficacy, perceived vulnerability, subjective norms, perceived severity, perceived certainty and resistance to use and these factors explain 79.5% of the variance of behavioural intention.

This study identifies key factors for FinTech acceptance in Jordan, offering actionable insights for policymakers and service providers. Building user trust in service and technology (security, effectiveness and transparency) is crucial, alongside leveraging social influence (testimonials, endorsements) and boosting awareness/knowledge through campaigns and educational initiatives. This study identifies key factors for FinTech acceptance in Jordan, offering actionable insights for policymakers and service providers. Building user trust in service and technology (security, effectiveness and transparency) is crucial, alongside leveraging social influence (testimonials, endorsements) and boosting awareness/knowledge through campaigns and educational initiatives. This study’s generalizability is limited by its sample, drawn from three Jordanian regions and dominated by potential users. Comparing actual and potential user perceptions, alongside including users from diverse contexts (e.g. other developing countries), could address this. In addition, using qualitative methods alongside the quantitative approach and exploring indirect relationships (mediating/moderating) would provide richer insights into FinTech acceptance in Jordan.

While prior research has explored FinTech adoption, including studies conducted in Jordan, this study makes several key contributions. Firstly, it specifically examines FinTech trends within the post-COVID-19 era in Jordan, a period marked by accelerated digital transformation and evolving user behaviours. Secondly, it extends existing models of FinTech adoption by incorporating “perceived self-efficacy, perceived vulnerability, subjective norms, perceived privacy, perceived severity, perceived value, perceived certainty and resistance to use”, in addition to the established factors of “perceived usefulness and ease of use”. This expanded model provides a more holistic understanding of the drivers and barriers to FinTech adoption in this context. Finally, this research provides empirical evidence from the Jordanian market, offering valuable insights for financial institutions and policymakers seeking to promote FinTech adoption and financial inclusion in a developing economy undergoing rapid digital change. This focus on the post-pandemic Jordanian context, combined with the extended theoretical model, offers a novel contribution to the literature.

The purpose of this study is to investigate forecast models using data provided by the Texas Commission on Environmental Quality (TCEQ) to monitor and develop forecast models for air quality management.

The models used in this research are the LDF (Fisher Linear Discriminant Function), QDF (Quadratic Discriminant Function), REGF (Regression Function), BPNN (Backprop Neural Network), and the RBFN (Radial Basis Function Network). The data used for model evaluations span a 12‐year period from 1990 to 2002. A control chart of the data is also examined for possible shifts in the distribution of ozone present in the Houston atmosphere during this time period.

Results of this research reveal variables that are significantly related to the ozone problem in the Houston area.

Models developed in this paper may assist air quality managers in modeling and forecasting ozone formations using meteorological variables.

This is the first study that has extensively compared the efficiency of LDF, QDF, REGF, BPNN and RBFN forecast models used for tracking air quality. Prior studies have evaluated Neural Networks, ARIMA and regression models.

There has been a growing concern about air quality because in recent years, industrial and vehicle emissions have resulted in unsatisfactory human health conditions. There is an urgent need for the measurements and estimations of particulate pollutants levels, especially in urban areas. As a contribution to this issue, the purpose of this paper is to use data from measured concentrations of particulate matter and meteorological conditions for the predictions of PM₁₀.

The procedure included daily data collection of current PM₁₀ concentrations for the city of São Carlos-SP, Brazil. These data series enabled to use an estimator based on artificial neural networks. Data sets were collected using the high-volume sampler equipment (VFA-MP10) in the period ranging from 1997 to 2006 and from 2014 to 2015. The predictive models were created using statistics from meteorological data. The models were developed using two neural network architectures, namely, perceptron multilayer (MLP) and non-linear autoregressive exogenous (NARX) inputs network.

It was observed that, over time, there was a decrease in the PM₁₀ concentration rates. This is due to the implementation of more strict environmental laws and the development of less polluting technologies. The model NARX that used as input layer the climatic variables and the PM₁₀ of the previous day presented the highest average absolute error. However, the NARX model presented the fastest convergence compared with the MLP network.

The presentation of a given PM₁₀ concentration of the previous day improved the performance of the predictive models. This paper brings contributions with the NARX model applications.

The purpose of this paper is to examine the impact of green supply chain management (GSCM) on environmental performance (EP) and export performance in the context of a developing country, Jordan. In addition, the mediating effect of EP on the relationship between GSCM and export performance is investigated.

The study is based on survey data collected from 221 manufacturing companies in Jordan. The companies were selected from different industry types to ensure diversity. Validity and reliability analyses were performed using SPSS and Amos, and structural equation modeling was used to test the study hypotheses.

The results revealed that GSCM positively and significantly affects both EP and export performance. In addition, the results demonstrated that EP positively and significantly affects export performance. Further, it is also found that EP positively and significantly mediates the relationship between GSCM and export performance.

The current study is one of the first to investigate the impact of GSCM on export performance, especially in the context of a developing country. In addition, this study contributes to the existing literature by highlighting the mediating effect of EP on GSCM—export performance relationship. GSCM is an under-investigated area in Jordan. The results are expected to promote GSCM implementation among manufacturing companies in Jordan in order to achieve economic benefits by increasing their exports through improvements in EP.

The purpose of this study is to examine how halal marketing affects intention and to assess the mediating effects of halal awareness and halal attitude on the relationship between halal marketing and intention towards halal cosmetics.

This study adopted a quantitative methodology and used a convenience sampling approach to acquire data from 266 respondents from different regions of Bangladesh. The survey was conducted from December 2022 to February 2023. The data were analysed and hypotheses were tested using partial least square structural equation modelling.

The findings suggested that all the formulated hypotheses were significant, indicating that halal marketing positively influenced intention towards halal cosmetics. Moreover, the relationship between halal marketing and consumers’ intentions to buy halal cosmetics was mediated by halal awareness and attitude.

The practical implications of this study are pertinent for Bangladeshi marketers of halal cosmetics. The results of this study will enable the manufacturers and marketers in the halal cosmetics industry to better target their respective customer base. The findings suggest that marketers of halal cosmetics should focus on creating awareness and fostering positive attitudes towards halal products among consumers.

This research has incorporated and tested the impact of halal awareness and halal attitudes as mediating constructs on intention towards halal cosmetics and found both constructs exert a statistically significant impact. Moreover, this paper investigated the halal marketing construct as a higher-order construct consisting of different components of marketing, while previous studies have been found to consider halal marketing as a first-order construct.