The study's goal is to see how electronic customer relationship management affects the quality of service at private hospitals in Jordan. The dimensions of customer relationship management (CRM) represented by website design, website search, privacy, security, and service delivery on time, while the dimensions of quality of service include reliability, responsiveness, assurance, and empathy. It focused on private hospitals in Jordan. Data were primarily gathered through self-reported questionnaires created by Google Forms distributed to a purposive sample of inpatients via email. The statistical program AMOSv24 was used to test the study hypotheses. The results demonstrated that electronic customer relationship management had a positive impact on service quality. Considering the results, the researchers recommend improving the degree of its practice of managing electronic customer relations by reconsidering its websites in terms of focusing on the website design and its ease of use by patients and the possibility of searching the website.

Organizational justice (OJ) has a significant impact on employees' job satisfaction which means the importance of caring and using it in any organization. OJ shows the importance of showing clear interest regarding the procedures related to work such as clearing the rights and duties for employees, providing the employees with opportunities to complain about the decisions, representations of information related to work, decisions and alternatives. Numerous studies are available on this, but Jordan scenario is different due to Arab economic and political conditions. Middle East is recognized due to richness of oil and transportation of oil to other parts of the world. Therefore, the performance of employees directly affects the whole world if the oil industry under performs. The proposed study of this paper is a quantitative survey that empirically verifies whether organizational justice has significant influence on job satisfaction. Data are collected from employees of logistic sector of Jordan city and they are analyzed by multiple regressions through SPSS. The results indicate that organizational justice has a significant impact on employees' job satisfaction. The distributive justice has no impact on job satisfaction which means that there is no effect of delegating authorities and sharing them with employees and no impact of distributing equal opportunities and work schedules on job satisfaction. The procedural justice had an impact on job satisfaction, which means the importance of showing clear interest regarding the procedures related to work. The effect of interactional justice on job satisfaction is found to be relatively high. The study recommends the managers to encourage working by team sole and build good relationships with all the workers, helping the employees to evaluate themselves and seeking to solve the disputes and conflicts fairly.

This study investigates the impact of business analytics (BA) on supply chain performance (SCP) in Saudi industrial companies. It also investigates the mediating impact of information systems supporting (ISS) and business process orientation (BPO). A total of 373 respondents working in 38 manufacturing companies in the Kingdom of Saudi Arabia (KSA) were selected. A scale with acceptable validity and reliability indicators was developed to measure the study variables. The results indicated significant indirect impact of the business analytics (planning, supply, make, delivery) on supply chain performance as ISS and BPO mediate this impact. Based on the results, a set of recommendations were proposed, industrial companies in KSA must develop the analytical capabilities for managers by increasing awareness of the benefits achieved from using business analytics approaches. It is a critical precedent for supply chain SC efficiency, and for companies to enhance their analytical capabilities with good ISS and process orientation to utilize in analyzing vast amounts of internal and external data. Directions for future research are also presented in this paper.

A study was conducted on the role of commercial advertisement directed to children for influencing parents’ purchasing decision. The study targeted parents, taking into account all demographic factors. The main objec-tive of the study was to determine the extent of commercial ads influencing on parents' decision either directly without children’s effect or with children effect. To achieve this, a random sample was selected from parents of children aged 2-14 years. 530 copies of the questionnaire were distributed, and 474 valid ones were retrieved, which represented for 89.43% of the sample size. After the collection of the questionnaires, the data were recorded and analyzed. The results show that there was an effect of independent variables (advertising campaigns) on the intermediary variable (children), as well as the effect on the dependent variable (parents’ purchasing decision). The results also show that the entry of the intermediary variable (children) on the model had a direct and indirect effect, but its effect was relative rather than total. So, there is an effect of the independent variables (commercial ads) on the dependent variable (parents’ purchasing decision) with or without the existence of intermediary. Based on the results of the study, the researchers recommended that organizations should design advertisements that target parents directly to convince them to make purchasing decision without their children mediation, and design other advertisements to target children because they can have influence over parents and can convince them to make purchasing decision. In addition, it is necessary for organizations to focus on the content of advertising messages, and to repeat them periodically, taking into account the renewal of content from time to time. They should also select effective ways to post their advertisements, especially on social media platforms in different times.

The arrival of the era of robots and autonomous machines is undisputable. It is anticipated that the future business environment will be characterized by a variety of intelligent systems and autonomous robots. In 2017, the International Federation of Robotics reported that momentum gained by robotic technologies is strong and that the sales volumes of both service and industrial robots is expected to grow. Building on this projection, the present study proposes a set of prerequisites or key determinants for the adoption of autonomous robots in the supply chain and logistics industry: technological context (i.e., relative advantage, complexity, and cost), organizational context (i.e., management support, financial support and employee competence) and environmental context (i.e., competitive pressure, customer pressure and vendor support). The study adapts a quantitative research design and uses an online survey to collect the needed data to test the conceptual framework and hypotheses proposed. Part of the study results confirms the association between the cost of digital technologies and the adoption of autonomous robots. However, the study found no evidence that the perceived relative advantage positively impacts supply chain and logistics firms’ adoption of autonomous robots. The study offers some managerial advices to supply chain mangers and marketers of the digital technologies and tools that can be applied in the supply chain setting.

The supply chain has been a major component of competitive strategy to enhance organizational productivity and profitability, and the supply chain is a relatively new and rapidly expanding discipline that is transforming the way that manufacturing and non-manufacturing operations meet the needs of their customers. This study aims to establish the role of management accounting in the development of supply chain performance in logistics manufacturing companies. The study applies a quantitative research methodology and uses a questionnaire method to collect the data. The study sample consists of 181 respondents. This study analyzes the data using the (SPSS) program. The results reveal a statistically significant relationship at the significance level (α≤0.05) between the management accounting, including the “target cost, value chain costing and quality costing” and supply chain performance in logistics manufacturing companies.

This study analyses the association between CEO characteristics and financial performance as well as the role that a firm’s governance system may play in enhancing financial performance in the Jordanian context. To achieve this purpose, 2251 firm-year observations were collected from firms listed on the Amman Stock Exchange from 2009-2022. Overall, the results show that there is a positive and significant association between CEO tenure and firm performance. The results also show that the CEO compensation is positively linked with firm performance. However, CEO age and ownership are found to be insignificantly associated with firm performances. Regarding the moderating role of governance quality, the result shows a positive and highly significant impact on CEO tenure and CEO age. Otherwise, whether the quality of governance is high or low, it does not affect the CEO’s compensation and ownership. This study recommends firms listed on the Amman Stock Exchange changing their policy regarding CEO compensation by, for example, including stock options to enhance firm performances.

In the technological and digital revolution, the world is witnessing unprecedented environmental uncertainty as big data becomes more complex in the labor market. Hence, the study examined the relationship between business analytics, big data, and decision-making insights. The study design used a quantitative approach through a questionnaire distributed to a sample of 412 management levels from international organizations located in King Hussein Business Park in Jordan, named CISCO, Microsoft, Oracle, MBC, Samsung, Migrate, Aramex, Experia, and Ericsson. The data were managed through PROCESS Micro v3.5 software via SPSS packages to investigate the total effects of the study variables. The results confirmed the positive relationship between business analytics, big data, and decision-making insights at a statistically significant level (p < 0.01). The study presented a theoretical development of the role of management in achieving mature visions based on big data that constitute solutions to the complex interactions between technology and human orientation, facilitating the organizational complexities supported by the digital age and transforming them in favor of business decisions in the organizational environment of business companies.

This study aimed to identify the effect of Total Quality Management (TQM) practices on their dimensions on employee performance who worked for Qatar Ministry of Interior, with the moderating share of knowledge. The components of TQM include customer focus, employee participation, continuous improvement, leadership & good vision and operations manage-ment. The study uses a quantitative research, where 280 questionnaires are collected from respondents to obtain the necessary information for testing the hypotheses of the study. Multiple regression and gradient regression are used to analyze the research data. The results indicate that TQM practices with its dimensions had effects on employee performance through knowledge sharing. The results of this study contribute to develop and implement different strategic directions that enhance the performance of employees through the adoption of TQM and the dissemination of a culture of knowledge sharing.

This research strives to offer valuable insights into business intelligence and analytics utilization. Besides, its expansion encompasses essential success factors for business intelligence and strategic management in the hospitality industry. The study's sample comprises 387 hotel managers from the Jordanian hospitality industry. Data collected to support the research goal was examined using multiple regression analysis through SPSS, with the assistance of PROCESS Macro v3.5. The results of this study reveal that business intelligence and analytics can serve as a bridge to connect crucial success factors for business intelligence and strategic management. These findings have implications for existing literature and stakeholders. Hotels that have integrated business intelligence and analytics acknowledge the advantages of enhancing their strategic management capabilities and decision-making processes.