The study aimed to examine the effects of accounting technology improvements on the generation of accurate and reliable financial reports in the public sector of Jordan. In order to carry out this inquiry, the researchers set research goals and formulated null hypotheses that were derived from these objectives and afterwards used in the study. The study used an ex-post facto survey methodology as its research technique. The study sample included 250 persons employed at the Ministry of Finance in Jordan. The research included a sample size including 152 people. A questionnaire was used as the primary tool for data collection in this study. The validity of the instrument was established by an evaluation conducted by experts specialising in the field of testing and measurement. The evaluation of the instrument's dependability was performed using the Cronbach Alpha reliability approach, yielding a reliability coefficient ranging from 0.73 to 0.85. The findings of this research demonstrate that the instrument has a significant level of dependability. The data obtained from the surveys underwent analysis using the Pearson Product-Moment Correlation (PPMC) and regression analysis approaches. The present study offers empirical data and affirms the growing significance of financial reporting in the global economic landscape. Ensuring unwavering trust in the financial information pertaining to the public sector has considerable significance for investors. The article proposes that the establishment of a comprehensive framework of guidelines for enterprises' information technology infrastructure would be advantageous for regulatory bodies, such as the Jordan Central Bank. The aim of this method is to reduce the potential danger of the public sector being overwhelmed by outdated technology.

Saudi Arabia is attempting to structurally transform itself to move away from its dependence on oil. Towards this, its education sector plays an important role. It provides the economy with the needed graduates. It is highly desirable that the education sector of the country attains and maintains quality standards. This study identifies the three dimensions of teaching staff, administrative staff and systems towards the Total Quality Management in a University setting. The study finds a significant difference between the sample respondents over the satisfaction with the faculty, staff, and systems. Further, the study uses the method of logistic regression to analyze the responses of University students’ perspectives of quality. The results indicate that the odds of being satisfied with the University are the highest if the students are satisfied with the systems. It followed by faculty and then the non-teaching staff. Improving the quality of faculty, staff, and systems in education services is needed to achieve the structural transformation desired by the country.

This research aims to demonstrate the impact of market targeting strategies on tourism service in the Kingdom of Saudi Arabia. The descriptive analytical methodology is used. The study also uses regression analysis to examine the relationship between independent variables and dependent variable. The study reached a set of results, the most important of which is the limited services provided to customers in spite of the diversity of the needs and desires of customers from tourists and travelers with customers' needs and desires.

The study aimed to examine the brand which is among the main dimensions for making the final purchasing decision among Jordanian consumers when selecting a cellular device which is an index for them and when purchasing in particular. Within this frame, the study aimed to investigate the factors influencing purchasing decision of Jordanian consumers when selecting the brand of cellular devices. The study followed the analytic descriptive approach in data collection where a questionnaire was distributed on a random sample of 240 participants from the study population. The study concluded that there was a positive relationship between the quality of cellular devices and the selection of brand and this relationship was attributed to the variables of gender, age, and educational culture. In light of the results revealed, the study recommended the producers of cellular devices of the various brands to offer high quality products with appropriate prices that take into accounts the purchasing power for consumers based on the targeted markets.

The objective of the research was to assess the factors affecting the quality of social infrastructure projects in the industrial zones in Hanoi, Vietnam ver the period 2018-2019 by means of qualitative and quantitative research methods where the quantitative research was conducted by an independent survey agency to enhance the objectivity of data. Adopting PLS - SEM method of Smart PLS, 3.0, we analyzed data from 396 valid questionnaires and the results showed that materials, design, construction and Stakeholder had positively affected the quality of Social Infrastructure Projects (SIPs). In the meantime, the project size also played a moderate role on the quality of social infrastructure projects.

This paper investigates the factors influencing on customers’ purchase decision of residential properties in Selangor, Malaysia. The study measures the effects of quality, price, location, promotion and corporate image on purchase decision by distributing some questionnaire among 312 randomly selected residents from some selected destinations at Selangor, Malaysia. Descriptive analysis and multiple regression analysis are used for analyzing the data. The findings reveal that quality, price, location, promotion, and corporate image positively and significantly influence on customers’ purchase decision. The results also indicate that location is the most important factor followed by price, quality, corporate image and promotion plays the smallest role on customers’ purchase intention. The study discusses the results and give constructive suggestions for promoting sales figures.

Due to various added advantages over the conventional material removal processes, non-traditional machining (NTM) processes have now been widely applied in different manufacturing industries. To achieve the desired response values, it is always recommended to operate these NTM processes at their optimal parametric settings. Various single response optimization techniques are already available to determine the optimal combinations of NTM process parameters for achieving maximum or minimum value of a single response. In this paper, a multivariate quality loss function approach is adopted for simultaneous optimization of responses for three NTM processes. It is observed that this approach outperforms the other multi-response optimization techniques, like desirability function, distance function and mean squared error methods with respect to the achieved re-sponse values. With modification of the corresponding objective function and constraints of the de-veloped non-linear programming problem, it can be effectively applied to any non-traditional as well as conventional machining process as a multi-objective optimization tool.

The purpose of this research is to investigate the impact of total JIT practices (JIT purchasing, JIT operations, and JIT selling) on operational performance (quality, delivery, and cost) of local fast-food restaurants in Jordan. The study is quantitative and covers 43 out of 142 local fast-food restaurants in Amman. Data were collected by questionnaires from 101 managers and supervisors. After confirming normality, validity, reliability, and relationships between variables, multiple regressions were conducted to test the hypothesis. Results indicate that there are strong relationships among total JIT sub-variables, very strong relationships among operational performance dimensions, and a very strong relationship between JIT and operational performance. Finally, results show that total JIT practices have a positive significant effect on the operational performance of Jordanian local fast-food restaurants.

The purpose of this paper is to examine the extent to which the Intelligent Enterprise Resource Planning (I-ERP) System can be used in company operations. Machine learning is embedded in a decision tree algorithm to demonstrate the viability of intelligent technology in an ERP system and to enhance the quality of operations through an I-ERP system. The study consists of two steps. In the first step, the algorithm uses the decision tree algorithm to demonstrate the application of intelligent technology in an ERP system. In the second step, the proposed model analyzes four quality criteria related to company operations through I-ERP system in order to determine whether or not I-ERP has significant improvement on managers’ decisions. As a result, the use of I-EPR may improve the quality of operations, agile respond to market demand, increase the efficiency and the competitiveness in organizations. An illustration example is provided to demonstrate the application of I-ERP.

Six Sigma is the concept of improving the quality by reducing process variations, making con-tinuous improvements, reducing defect rates and improving the processes. Initially, the concept of Six Sigma focused on defect reduction, cost reduction and value addition. Fundamentally the basic idea of Six Sigma is to improve the process-capability and making the process more relia-ble along with reducing wastes within industries. Evaluation the implication of applying Six Sigma over the small and medium-sized enterprises is the main purpose of this research work taking a particular case of automobile industries. In the present work, DMAIC methodology of Six Sigma is used to a small seat slider lock nut manufacturing unit to reduce the play issue in K2 seat slider lock in automobile units by reducing defects inherent in the process. After apply-ing Six Sigma methodology, it was found that manufacturing units could earn profits in terms of reducing the wastage as well as improving the quality standard of the product by controlling the play issue in seat slider lock nut mechanism. Result shows that with the application of Six Sig-ma, process, sigma level brought up to 5.53σ from 1.59σ by varying the seat slider lock nut di-mensions/size.