This paper investigated the impact of corporate governance on enhancing the financial performance of industrial companies. The sample of the research consisted of 55 industrial companies listed at the Amman Stock Exchange (ASE) during the period 2014-2018. Data were collected from the firms' annual financial statements using content analysis approach. The results confirmed that the audit committee and ownership structure had positive and significant effects on two dimensions of financial performance. In view of research findings, the study recommends companies to raise some awareness about the importance of corporate governance, in addition to strengthening supervisory procedures by legislators.

This paper aims to contribute to the literature by examining whether audit committees' attributes affect risk disclosure practiced by Jordanian listed companies. Selecting a sample of 94 Jordanian companies listed on Amman Stock Exchange, the authors carried out a manual content analysis on annual reports to determine the level of risk disclosure. Random effect model was employed in the analysis. Empirical results show that the audit committee size had a positive effect on the level of risk disclosure. However, there was no evidence that the frequency of the audit committee meetings, expertise or overlapping of the audit committee membership were significantly related to the risk disclosure. The findings are important for standard setters to improve their comprehension about the influence of audit committee in disclosing risk information and reconsider the effective monitoring role played by audit committee.

The importance of computer-assisted auditing techniques (CAATs) is widely acknowledged by auditors. However, the current usage of CAATs is not as broad as expected. In this work, the technology–organization–environment framework is used to establish and analyze the organizational factors affecting the post-adoption usage of CAATs. This study also determines whether or not the use of CAATs enhances the audit process. Top management commitment is introduced as a variable that moderates audit firms’ use of CAATs and audit performance. The data used in this work were obtained from auditors of audit firms in Jordan. Analysis results reveal that CAAT usage is affected by the cost–benefit of technology, firm size, readiness and competitive pressure. By contrast, technology compatibility and the complexity of the accounting information systems of clients do not appear to influence CAAT usage. Top management directly influences audit performance and is thus crucial in dictating how auditors utilize CAATs. However, it does not exert a moderating effect (top management × audit firm’s use of CAATs) between audit firms’ use of CAATs and audit performance. Moreover, the use of CAATs improves the overall audit process of audit firms.

The study proposed a multi-criterion decision model from benefit, opportunity, cost, risk aspects of SME family business to develop logical investment priorities for northeast Indian family entrepreneurs. The data was collected from 368 northeast entrepreneurs and analytical hierarchy process was applied to develop weights and priorities of every criteria and sub-criteria. The study found employment opportunity; business growth; reputation; stability and succession planning as top priorities. The findings provide heuristic judgment for entrepreneurs and infer to entrepreneurs while taking strategic investment decisions and also to local governments, policymakers, and industrialists. Further, the limitations and research directions were presented.

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.