This study aimed to test the impact of digital supply chains on lean manufacturing, the digital supply chain was a multidimensional measurement composed of seven dimensions: Digital performance management, digital information technology and digital manufacturing, digital human resources, digital suppliers, digital logistics and inventory and digital clients. The electronic industries companies were targeted to represent the research population and collect the primary necessary data. According to the research budget and time constraints, a convenience sampling method was implemented in the data collection process. Structural equation modeling (SEM) was applied to test the research hypotheses through AMOS software. The results indicated that most of the digital supply chain dimensions had a positive impact on lean manufacturing, except digital suppliers and digital clients, which had no effect on lean manufacturing. Findings from this research help organizational managers make multiple decisions related to investing and allocating resources to increase profit and reduce expenses along digital supply chains.

The study aimed to identify the impact of Accounting Information Systems (AIS) reliability on enhancing the requirements of planning process at Jordanian Commercial Banks, and in order to achieve the objectives of the study the researcher implemented the descriptive analytical approach by reviewing the literature related to AIS and planning process requirements. Researcher also designed a questionnaire to target the executive managers, financial managers, and departments' heads at the (13) Jordanian commercial banks, where (145) questionnaires were distributed, recovered (122), and (118) of those were found to be valid for analysis. The study used the SPSS and the Multiple Regression test to reach the objectives of the study and test its hypotheses. The results indicate a major impact of AIS reliability on fostering the planning process requirements at the Jordanian commercial banks, and recommended the need of managements to focus on AIS to assist for the development of plans and policies related to the various activities, which may be practiced by management.

This article will examine the impact of e-service quality management dimensions on decision-making agility at private universities in Jordan. The e-service quality model was extended by adding more dimensions and applying them in a pure service environment. The study used five dimensions to measure the impact of e-services quality management, including efficiency, fulfillment, privacy, responsiveness, and contact on decision-making agility. During the spring semester of 2021, an online questionnaire was distributed randomly at 12 private universities in Jordan. A total of 300 respondents completed and submitted the questionnaire. The results show that the five dimensions of e-service quality have a significant impact on decision-making agility at private universities in Jordan. The result indicates that contact was the most influential factor in decision-making agility. This confirms the importance of having advanced information technology systems and strategies to enhance communication effectiveness. University management can employ these results to enhance existing policies and procedures to improve the quality of e-services provided to boost and maintain competitiveness and distinction. We can anticipate that a university with a high level of decision-making agility can have a better change management cycle and be more flexible in response to market challenges.

The current problem of the study is to explore the mediating role of financial reporting quali-ty in the impact of artificial intelligence (AI) on the quality of external auditing in Jordanian commercial banks. A descriptive analytical approach was used. The target population in this research consists of all 13 Jordanian commercial banks listed on the Amman Stock Ex-change. The researcher was able to collect 198 questionnaires that were approved to be filled out by employees of Jordanian commercial banks. The present research in Jordanian com-mercial banks discovered that the impact of AI on external auditing quality is moderated by the quality of financial reporting. The study recommends paying attention to the quality of external auditing, as the auditing process must be carried out efficiently and effectively in accordance with auditing standards. In order for errors and violations discovered during the audit process to be detected, the quality of financial reports must be audited. It also high-lights the need to enhance the use of artificial intelligence in the bank to raise the efficiency of the banking systems and thus raise the bank’s efficiency.

This study aimed to determine the impact of liquidity risk on financial performance of Jordanian banks, where liquidity risk was measured by (Liquidity ratio, net working capital, cash and investment ratio to total deposits), and financial performance was also measured through the index (return on assets) and the modifying variable (bank size) measured through the natural logarithm of total assets was also added. To achieve the objectives of the study, the analytical quantitative approach was adopted. The study community consisted of all 13 commercial banks listed on the Amman Stock Exchange. All banks in the study community were selected as a study sample using the comprehensive survey method, and the statistical analysis program (SPSS) was used to test the study hypotheses. Based on the results of the statistical analysis, it was found that there was an impact of liquidity risk on financial performance measured by return on assets in Jordanian commercial banks listed on Amman Stock Exchange, and there was an impact for each of (current liquidity ratio, net working capital, cash and investment ratio to total deposits) on financial performance measured by return on assets in Jordanian commercial banks listed on Amman Stock Exchange. It was also found that the size of the bank contributes to modifying the effect of liquidity risk on financial performance measured by return on assets in Jordanian commercial banks listed on Amman Stock Exchange. The study concluded a set of recommendations, the most important of which are: commercial bank administrations should increase interest in exploiting their liquidity within acceptable risk limits to reach optimal ratios for financial performance by balancing the returns to be achieved with the potential risks of such expenses in a way that ensures the positive impact of liquidity risk on the financial performance of those banks.

This study aims to investigate the role of applying artificial intelligence in limiting cybercrime in the 13 Jordanian commercial banks listed in the Amman Financial Market, from the point of view of internal auditors and IT. For this purpose, a questionnaire was designed and distributed to the study sample of (849). The number of respondents to the questionnaire reached (230). The data of the questionnaire were analyzed, and their hypotheses were tested using the statistical program (SPSS) through tests of the arithmetic mean, standard deviation, linear, multiple regression, and the T-test for two independent samples. The study found a statistically significant effect for artificial intelligence with its dimensions (Expert Systems, Artificial Neural Network, Genetic Algorithm, Fuzzy logic) in limiting cybercrime in Jordanian commercial banks. It was also found that there were statistically significant differences in both genetic algorithm and cybercrime attributable to the job variable in favor of IT department employees.

Big data has become much more widely used in recent years, particularly in the banking sector. Banks have begun to use big data to enhance customer experience, optimize operations, and create novel products and services. This study investigates the effect of big data governance on financial technology in Jordanian commercial banks. The study focuses on the four dimensions of big data governance: strategy and planning, ethics and social responsibility, data quality and management, and infrastructure and architecture. Additionally, the study considers the mediating role of organizational culture in the relationship between big data governance and financial technology. Primary data were collected from 250 IT employees working in Jordanian commercial banks, and the data were analyzed using PLS-SEM. The study findings indicate that big data governance has a significant positive effect on financial technology in Jordanian commercial banks. Additionally, it has been discovered that organizational culture partially mediates the relationship between big data governance and financial technology, emphasizing the significance of creating a culture that encourages the efficient use of data in fintech. In the context of Jordanian commercial banks, this study presents empirical evidence for the connection between big data governance and financial technology. The results indicate that big data governance measures should be applied while taking organizational culture into account as a potential mediator of the effects on financial technology. This study offers guidance on how to successfully integrate big data governance policies in commercial banks to advance financial technology for bank managers and policymakers.

This paper aims to explore the intentions to use FinTech and its important role in the banking industry in Jordan. Accordingly, this study analyzes the nature of the relationship between intention to use financial technology and each of: Processing Unit (PU) perceived usefulness, social impact (SI), customer’s trust (TRU) and perceived ease of use (PEU). Previous research related to financial technology is still under development and which is still being researched by providing an alternative approach to understanding how different business levels have stimulated the emergence of innovation-focused fintech companies, and what are the motives of success. Therefore, the main contribution of this research is to fill the gap in previous research related to financial technology that is still under development and which is still being researched by providing an alternative approach to understanding how different business levels have stimulated the emergence of innovation-focused fintech companies, and what are the motives of success. Results show a positive relation between intention to use financial technology and Processing Unit (PU), social impact (SI), customer’s trust (TRU) and perceived ease of use (PEU). The main contribution of this research is to fill the gap in previous research related to financial technology that is still under development and which is still being researched by providing an alternative approach to understanding how different business levels have stimulated the emergence of innovation-focused fintech companies, and what are the motives of success.