Self-service technologies (SSTs) are systems that enable customers to independently access banking services at a time and place of their choosing. Such technologies have been widely incorporated into banking logistical systems to increase the geographical coverage, reduce labor costs and provide customers with a better service, thereby enhancing their satisfaction and loyalty. The fundamental aim of this research is to propose and examine a conceptual model that best explains the key factors influencing Jordanian customers' intentions and usage of SST banking channels: Internet banking, Mobile banking, and Telebanking. The conceptual model proposed was based on the Unified Theory of Acceptance and Use of Technology (UTAUT2). This was extended by adding perceived risk as an external factor. A quantitative approach was selected and data gathered from 348 bank customers was analyzed through Structural equation modelling (SEM) was conducted using AMOS 21. The results show that behavioral intention is significantly influenced by performance expectancy, hedonic motivation, price value and perceived risk; however, social influences do not have a significant influence on behavioral intention. This study makes an important contribution by applying UTAUT2 to examine new technology (SSTs) in a new context (Jordan).

Diversity, equity, and inclusion (DEI) are crucial for commercial success, fostering innovation, fresh ideas, and mutual respect. Prioritizing DEI is vital for businesses to connect with a broader customer base. A study examined how effective diversity management influences a brand's diverse customer base and DEI policies. It explored the impact of DEI culture, workforce, evaluation practices, product issue resolution, and diversity partnerships on customers. Multinational entities surveyed, with 176 online HR and marketing experts participating. Likert scales, gauged responses, and structured equation modeling analyzed data. The study found that embedding DEI into company culture, maintaining diverse personnel, monitoring DEI performance, addressing DEI challenges with products, and engaging diverse partners positively affect a varied customer base. The research emphasizes that multicultural team leaders must prioritize diversity management for successful implementation, providing a theoretical and statistical framework for effective DEI policies across diverse clienteles.

This study examines the acceptance level of Accrual Accounting System (AAS) among the accountants in the public sector. Subsequently, this study examines whether the accountants’ acceptance level of AAS influences their motivation, job satisfaction and job performance. Using a cross sectional study via a questionnaire survey on 166 public sector accountants in the public sector, the study shows that the accountants accepted AAS. The study also shows that the acceptance of AAS among the accountants significantly influences their motivation, job satisfaction and job performance. Further analyses show that the accountants’ motivation to accept AAS significantly influences their job satisfaction and subsequently, job performance. The findings of this study indicates that acceptance of a technology could lead to positive attitude and ultimately, ensuring AAS implementation success in the public sector.

The growing significance of Artificial Intelligence (AI) across different fields highlights the essential role of user acceptance, as the success of this technology largely depends on its adoption and practical use by individuals. This research aims to examine how perceived cybersecurity, novelty value, and perceived trust affect students' willingness to accept AI in educational settings. The study's theoretical basis is the AI Device Use Acceptance (AIDUA) model. Using structural equation modeling, the study tested hypothesized relationships using data from 526 students at Jordanian universities. The results showed that social influence is positively associated with performance expectancy, while perceived cybersecurity is positively related to both performance and effort expectancy. Novelty value is positively associated with performance expectancy but a negative one with effort expectancy. Additionally, effort and performance expectancy significantly influence perceived trust and the willingness to accept AI. Moreover, perceived trust has a notable positive effect on the willingness to accept AI in education. These findings provide valuable guidance for the creation and improvement of AI-driven educational systems in universities, contributing to the broader understanding of AI technology acceptance in the educational field.