This study aims to determine client’s attitude explanatory factors for the selection of an Islamic bank at Jordan. Mainly, the study identifies factors shaping client’s attitude toward Islamic banks that are considered in clients' decision choices related to different behavioral theories. Data were randomly collected from Islamic banks clients in Jordan. A questionnaire was developed, distributed, and analyzed via the model of t-test on 138 clients. The results show that clients consider several factors in their choices between religious and non-religious. Essentially, religious factors are principles, absence of interest, religious edict or justification, profit-sharing, and Islamic price basis of banking services. The non-religious related factors were sufficient branches, caring and comfortable, appearance and internal decoration design, fast services, response to their clients’ needs, sufficient number of staff, giving clients the top priorities, clients' needs to include disclosing information as a part of accounting system adequacy. Adequate attention is needed to every client, competitive service prices, and the influence of friends and family. The study concludes that it is not possible to say that religious factors are enough, but the interest-free banking greatly represents the non-religious or the economic factors, and the profit-sharing principle is important; Policymakers must consider this to buildup a positive attitude toward Islamic banks. The findings recommend that religious and non-religious values significantly influence clients’ intentions and choices. It suggests that religious ethics is the most important factor, and the availability of information systems disclosing clients' needs.

This paper endeavors to investigate whether the Islamic financial system can tackle the issue of financial exclusion in India or not. The present study has made an earnest attempt to explore the discriminating factors behind choosing of the institutes (conventional or Islamic), in decreasing order of their importance. Data for the study are collected from 635 respondents, who are customers of Islamic and traditional financial institutes. The area selected for the survey is the state of Kerala, which is considered as the Islamic finance hub in India. The data collected are analyzed by employing the discriminant analysis along with drawing inferences from descriptive statistics. The study finds various factors in descending order of their importance. The factors are type of employment, religion (Muslim/Non-Muslim), income and gender. These are discriminating factors for choosing particular institutes (conventional or Islamic). The study shows that Islamic finance system was chosen by those, particularly Muslims, who did not have good employment and sufficient income. Hence, it is recommended that extensive formal beginning of Islamic finance in India, will lead to higher financial inclusion, since generally the financially excluded individuals belong to the said segments of the society, furthermore, Islamic finance is highly fascinated by the mentioned groups, the planners should think accordingly. The study is novel in its’ approach as it evidently illustrates that Islamic financial system is chosen by those, who do not have good employment, Muslims and those who earn less. Thus, there should be extensive formal commencement of Islamic finance in India to kick off higher financial inclusion.

The purpose of the study is to present a digital marketing data analytics model to analyze campaign efficacy and inform strategy based on website performance, social media metrics, email marketing performance, customer data for targeting and personalization, and customer journey analysis. This model defines campaign success criteria for strategy. A statistical analysis approach was used to analyze the data for the research. Data was gathered through a survey. This study analyzes demographic parameters descriptively using the structural equation model (SEM). From comprehensive surveys, 125 digital media and 115 online shop subjects responded. Sampled were 240 people. According to the findings, social media data, customer journey research, successful advertising, and informed approaches are highly correlated. Compared to the previous study, website performance evaluation does not match the marketing plan's success. The model's results can be used by any company that communicates with clients online.

The purpose of this research was to examine the effects of digital transformation, digital leadership, and entrepreneurial motivation on business decision making and business process performance in the Greater Amman Municipality. The study's hypotheses were put to the test and proven through a variety of quantitative analysis and data processing techniques. The research hypotheses were evaluated using a Structural Equation Model. Participants in this research are managers from the middle and high echelons of the Greater Amman Municipality, who were responsible for making decisions in their respective divisions. One hundred and eighty middle and upper-level managers with at least eight years' experience in public service were recruited for this study from the Greater Amman Municipality. Distributed questionnaires and the deliberate sampling technique were used to compile this data. Decision making had a positive effect on the business process performance, and the results of hypothesis testing data processing using Structural Equation Model indicated that digital transformation, digital leadership, and the motivation of the business environment all had positive and significant effects on business decision making and business process performance in the Greater Amman Municipality. To conduct their research, the authors opted to focus on digital transformation, which includes four primary components: process transformation, business model change, domain transformation, and cultural transformation. The following dimensions commander, communicator, collaborator, and co-creator were all indicative of digital leadership. Entrepreneurial motivation could be seen in the word’s communication, hassle-free work environment, mastering the art of constructive criticism, and trust among others. The novel aspect of this study is the model developed to explain the interplay between digital transformation, digital leadership, and entrepreneurial motivation, and how these factors influence business decision making and business process performance at Greater Amman Municipality.

The study aimed to identify the medical invention marketing strategies on buying (Surgical Medical Robot), the study used the descriptive approach to suit the purpose of the study. Sample of the study consisted of (100) participants divided (50) of marketing managers for the medical instrument companies and (50) medical employers related to working in surgery in the Jordanian hospitals. The study showed that the level of medical invention marketing strategies (Marketing Network, Design and Execution, Understanding Customer and the Promotion) and Buying Surgical Medical Robots in the Jordanian Hospitals were in the medium level. The study showed that the medical invention marketing strategies (Marketing Network, Design and Execution, Understanding Customer and the Promotion) have an impact on buying (Surgical Medical Robot) Jordanian hospitals. The study set of many recommendations as Work to raise awareness regarding medical robot surgery and Work by medical equipment companies to obtain the largest amount of information about the medical surgical robot, to increase the level of confidence of patients in this robot.

The Internet of Things (IoT) is one of the most evolving technologies, which has a major impact on our daily life. Almost all new devices will have a feature to be connected and controlled over the Internet. Several applications are utilizing IoT to enhance routine processes and actions efficiently. The Internet of Vehicles (IoV) evolved from IoT, where vehicles communicate with each other or with other objects to have a better transportation environment to reduce the number of accidents and save people’s lives. IoV is considered new fields that need security requirements including confidentiality, integrity, availability, authentication, and trust. Trust management technique is used to validate entities behaviors automatically against well-defined policies. The major categories of trust model in IoV are based on entity, data, or a combination of both. This paper proposes a trust model which is based on a combination of entity and data to define the trust of vehicles and utilize the public key infrastructure to distribute certificates to vehicles. Based on certificate validation, messages will be trusted and accepted. This model has been tested across different simulation scenarios which showed that the proposed model detected malicious vehicles and trusted vehicles did not accept their messages.

A new method of amidation of Carboxy Multi Walled Carbon Nanotubes (MWCNT-COOH) with diamine monomer such as ethylene diamine (EDA) and O-Phenylenediamine (OPDA) was applied by using a solution blending technique. The structure and properties of these composites have been investigated by FTIR, SEM, TEM, XRD, UV, DSC and TGA. The formation of Poly [MWCNT/ Amide] composites was confirmed and the DC electrical conductivity of poly-composites was in the range 4.5×10^-6-5.3×10^-6 S/cm due to the interaction between the nanotubes.

The study examines the technological factors influencing the adoption of artificial intelligence (AI) technology. In addition, this study examines the mediating role of accounting automation on AI adoption in a small and medium-sized enterprise (SMEs) context. The owners and managers of SMEs were surveyed online using a convenience sampling technique. The proposed model was tested using SEM. The findings confirmed the relationships between the predictive variables and AI adoption. The results showed that accounting automation partially mediated the relationship between predictive variables and the adoption of AI. The results contribute to the TOE model by incorporating accounting automation into the TOE framework as a mediating variable. The study also contributed to the literature by including new variables in the model, such as saving time and efficiency-improving.

This study sought to investigate the impacts of big data, artificial intelligence (AI), and business intelligence (BI) on Firms' e-learning and business performance at Jordanian telecommunications industry. After the samples were checked, a total of 269 were collected. All of the information gathered throughout the investigation was analyzed using the PLS software. The results show a network of interconnections can improve both e-learning and corporate effectiveness. This research concluded that the integration of big data, AI, and BI has a positive impact on e-learning infrastructure development and organizational efficiency. The findings indicate that big data has a positive and direct impact on business performance, including Big Data External and Internal, Innovative Usage, Indexing, and Sources Accuracy. In addition, Artificial intelligence positively affects business performance, including Data Accuracy, Data Transparency, Data Speed, and Creative Thinking and Learning. Moreover, business intelligence has a direct and positive impact on business performance, including Data Warehouse, Data Mining, Business Process Management, and Competitive Intelligence. In addition, the findings indicate that e-learning which represents system quality, information quality, and self-efficacy has a positive relationship on enhancing business performance. Interestingly, the present findings are inconsistent with those of previous studies showing the variables of interest which have no effect on e-learning and business performance. Taken together, the findings of this study suggest that firms should begin to apply processes related with applying e-learning and developing business performance. The novelty of the present study lies in highlighting the key dimensions of big data, artificial intelligence, and business intelligence when it comes to enhancing e-learning and business performance at Jordanian telecommunications industry.

This study aims to explore whether or not social responsibility disclosure contributes to improve the financial information environment, through examining the impact of quantity and quality of corporate social responsibility (CSR) disclosure on the accuracy of analysts' forecasts and audit fees. Content analysis technique has been used to measure quantity and quality of CSR disclosure in annual reports of Saudi registered companies. OLS regression model is used to examine the relationship between the quantity and quality of CSR disclosure in the annual reports and the quality of the analysts' forecasts, and the audit fees. The results indicated that CSR disclosure provides useful information for outsiders, where it is associated with more accurate analysts’ expectations and reduced audit fees. These results suggest that CSR disclosure is associated with high quality financial information environment. This paper provides comprehensive analysis for financial information environment in Saudi companies. The findings of paper provide useful insights concerning the importance of social responsibility disclosure in Saudi business environment.