Digital development transformation and rapid dissemination of technological innovations, has let various e-retailers site make an advanced investment to get the benefit of the latest business opportunity for building innovations. Thus, this study identifies the main effect of perceived e-retailers websites innovativeness on supply chain performance, functional competences, perceived self-congruence, customer hope, perceived service advantages, word of mouth behavior, and hedonic value. Data used in this study were collected from banking customers who own a visa card that allows them excute an online payment and the sample was tested on the analysis model using (SEM-PLS) tool. The results of the study support that e-retailers' website innovativeness was positively associated with the constructs of each innovation factor. The given analyses supervise practitioners for better management of e-retailers website innovation implementation along with the supply chain performance.

The objective of this study is to empirically evaluate the associations of information technology, supply chain management, and logistic capability with a competitive advantage of some Saudi Arabia industry during the year of 2020 using Resource-based Theory. Using the information from a self-administered survey with an ultimate sample of 118 respondents, the outcome of Multiple Regression indicates a significant positive correlations of information technology, supply chain management, and logistics capabilities strategies with a competitive advantage. The outcome of this study should be applied by the company’s top management to improve their supply chain management within strategic plans, as a result, increase the magnitude of their competitive advantage and financial performance.

This research aimed to evaluate the effect of improvement in the logistic issues on the service quality (SQ) dimensions of SMEs operating in Saudi Arabia. The investigation followed a quantitative assessment where SEM modelling was used on primary data collected using a survey questionnaire. The sample comprised of 351 employees belonging to different industries and different cities of Saudi Arabia, Jeddah, Khobar, Dammam, and Riyadh. The research identified quality logistics personnel, inventory management, and high technology cost as critical issues in Saudi SMEs. In this research, three SQ dimensions were considered, including assurance, reliability, and responsiveness. The results inferred that the overall effect of improvement in logistic issues was significant on the SQ dimensions. However, the study was limited to Saudi SMEs and three aspects of topics and three dimensions of SQ only. Considering this, the findings of the study have both practical and theoretical implications for SMEs, academicians, and practitioners.

This paper studies the effect of CEO attributes on firms’ R&D spending in Saudi firms. Mainly, it examines the influence of CEOs’ education (level and background), CEOs’ experience (work experience, tenure and functional background), CEOs’ origin and CEOs' ownership. These attributes are among the main CEO attributes that are not considered simultaneously by previous studies. Empirically, we use a sample of 63 listed Saudi companies on Tadawul stock exchange. The study uses a panel model employing data over the period from 2016 to 2019 with 252 observations and formulates five different equations using the ordinary least square regression. Findings show that companies employing CEOs with functional backgrounds in marketing and/or engineering will invest more in R&D. Similarly, R&D spending increases when the CEO is an insider and has a part in the firm capital. These results would help scholars and shareholders to understand what makes executives more willing to initiate innovation and thus, they can select and govern well the company’s CEO.

The purpose of this study is to investigate the moderating role of digital marketing strategies on innovation through Artificial Intelligence (AI) mediating impact in Small and Medium Enterprises within Saudi Arabia. Advanced analytics tools analyzed data from KSA SMEs to establish the role of AI, customer behavior, and experiences in product and process innovation. Artificial intelligence boosts product and process innovation with unconventional customer knowledge. Integrating AI combined with digital marketing to improve decisions and efficiency, to increase understanding of customer dynamics for sustaining growth and promoting collaborations. Using AI-empowered digital marketing strengthens Saudi SMEs advancement by promptly reacting to market motions. Sustainability practices attract the environmentally conscious consumer. This research provides actionable insights for SMEs who want to employ digital marketing and AI strategies and contribute to building an economic environment in Saudi Arabia.

The main goal of this research is to study and investigate the impact of data management and analysis tools on improving organizational behavior within three IT service firms in Jordan. This research focuses on choosing three data management and analysis tools: Database analysis tool, data processing tool, and big data processing tool and how these tools could positively influence enhancing employee performance and organizational behavior. It accomplishes this within the distinct framework of three Jordanian IT service firms. The research supposed that combining big data analysis, integrated data processing, and database analysis is necessary to enhance organizational behavior and employee performance, as indicated by the findings. Furthermore, the research highlights the potential for IT service firms in Jordan to benefit from emerging database analysis technologies, promote the use of integrated data processing techniques, and leverage big data analysis for their own benefit. This can enhance corporate behavior and employee performance. Data was distributed and collected from three Jordanian IT service firms, and all collected data was analyzed using AMOS. The study's findings offer valuable recommendations for enhancing the operational efficiency of IT service firms in similar business environments, emphasizing the crucial importance of comprehending and purposefully employing database-related technologies for sustained prosperity.

This study examines the extent of adoption of electronic payment methods in Jordanian banks and compares them with traditional alternatives. Focusing on banking customer behavior, we conducted a comprehensive survey among banking customers to uncover insights on trust, perceived benefits, financial literacy, ease of use, security and cost considerations. By analyzing the data collected using the questionnaire study tool, we reveal the motivations behind customers’ electronic payment preferences. By highlighting these factors, our research contributes to the understanding of the evolving payment landscape and provides actionable insights to enhance the adoption of electronic payment in Jordan’s financial system, in line with global technological trends. The results of the study revealed that all study variables had a significant impact (trust, ease of use, perceived security, and cost of service) on the use of electronic payment methods. In addition, gender, number of years of dealing with the bank, and type of electronic payment used more than once by customers in the banking sector did not have a significant impact.

Recently, due to the tremendous development in information and communication technology, the world is moving rapidly towards digitization in all areas of life. In the financial context, Financial Technology (Fintech) has the potential to transform the financial sector by offering innovative digital solutions, but its adoption depends on various individual, organizational, and environmental factors. This research paper aims to identify and analyze the determinants that influence the intention to adopt fintech. A self-administered survey was utilized to collect the necessary data. Data were analyzed using SPSS version 26 for descriptive analysis as well as SmartPLS version 3.0 by implementing the PLS algorithm and Bootstrapping techniques. This study finds that intention to adopt Fintech is affected by perceived usefulness, perceived ease of use, trust, social influence, and facilitating conditions. This study also examined the relationships between these variables. The findings will provide insights for fintech stakeholders, policymakers, and researchers to foster a conducive environment for Fintech adoption and usage.

Advancements in technology have had a profound impact on the way we learn, teach, and access knowledge. From online learning platforms to interactive educational games and virtual reality simulations, technology has transformed the traditional classroom into a dynamic, engaging, and inclusive space for education. One of the promising advancements in the field of artificial intelligence technology is ChatGPT which offers personalized and effective learning experiences by providing students with customized feedback and explanation. The effect of ChatGPT must be compared with the effect of Google at the educational level since both present a source of information and explanation. Thus, this study aims at investigating the differences between these two learning sources to measure their effectiveness from different perspectives. The model proposed in this study was evaluated using the PLS-SEM approach, utilizing data collected from 153 university students in the UAE. The results of this evaluation indicate that the GPT (Generative Pre-trained Transformer) has a significant impact on user acceptance, mediated by information quality, system quality, perceived learning value, and perceived satisfaction. These factors play a crucial role in determining users' acceptance of the GPT. However, it is important to note that some aspects of the model were not supported, suggesting that they do not have a significant predictive effect on the use of ChatGPT. Nonetheless, the findings of this study contribute to the existing literature on AI and environmental sustainability, providing valuable insights for practitioners, policymakers, and AI product developers. These insights can help guide the development and implementation of AI technologies in a way that aligns with users' needs and preferences while considering the larger environmental context.

The main objective of this study was to examine the effectiveness of a teaching program utilizing cloud computing in enhancing the writing skills of students with autism. The research comprised a group of kids diagnosed with ASD who attended schools situated in the Al-Mafraq Governorate. The initial intention was for the experiment to last for a duration of 30 days. A total of 30 students were included in the study, with 15 students randomly assigned to the experimental group and the remaining 15 students assigned to the control group. Following the implementation of the intervention, the experimental group demonstrated a higher level of performance on assessments measuring language and content abilities compared to the control group. There were no significant differences seen in the writing proficiency scores of the experimental group, both at the follow-up assessment and immediately after the intervention.