This research conducted testing on the influence of business strategy, leadership style, and internal control system (IC) on implementation of Good Government Governance (GGG) and its implication on organizational performance of Social Security Administrator for Health (known as BPJS Kesehatan). Data analysis was performed using a descriptive method, assisted by a statistical tool Structural Equation Modeling (SEM)-Lisrel. The data was tabulated from distributed and returned questionnaires from 325 deputy offices, branch offices, and service offices. The results showed that business strategy, leadership style, and the effectiveness of IC influenced the implementation of Good Government Governance. The result also provides evidence that leadership style had a positive significant influence on performance. Conversely, the business strategy and effectiveness of IC did not have a positive significant influence on BPJS performance.

The objective of this study was to examine the role of Industry 4.0 in the sustainable supply chain (SSC). The relationship between Industry 4.0, data storage, data assessment, performance evaluation, data inquiry and SSC were examined. To achieve the study objective, the mediation effect of data storage, data assessment, performance evaluation and data inquiry between Industry 4.0 and SSC was examined. Employees of textile companies were selected for data collection in Indonesia. Results of the study highlighted that Industry 4.0 had a significant positive effect on SSC. Better implementation of Industry 4.0 showed a positive effect on SSC. In addition to this, Industry 4.0 had a positive effect on data storage, data assessment, performance evaluation and data inquiry. Finally, data storage, data assessment, performance evaluation and data inquiry had a positive effect on SSC.

The use of data mining to predict early employment readiness of students is gaining importance due to the expansion of data production in various industries. This study aims to address the employability issue in Middle Eastern nations by utilizing an Adaptive Neuro-Fuzzy Inference System (ANFIS) data mining technology. The experimental investigation used data from tracer studies conducted by three Jordanian universities, consisting of 22 parameters. Results showed that despite achieving an accuracy of 94% for the graduate dataset, ANFIS exhibited high complexity due to the large number of attributes used. The study has implications for selecting relevant variables and investigating multiple aspects. Data mining has various applications, including classification, clustering, regression, association rule development, and outlier analysis. As data production continues to expand, this study provides insights into the potential use of ANFIS in predicting early employment readiness of students in Middle Eastern nations.

In an environment where markets go through a volatile process, and rapid fundamental changes occur due to technological advances, it is important to ensure and maintain a good performance measurement. Organizations, in their performance evaluation, should consider different types of financial and non-financial indicators. In systems like direct sales stores in which decision units have multiple inputs and outputs, all criteria influencing on performance must be combined and examined in a system, simultaneously. The purpose of this study is to evaluate the performance of different products through direct sales of a firm named Shirin Asal with a combination of Balanced Scorecard, fuzzy AHP and TOPSIS so that the weaknesses of subjectivity and selective consideration of evaluators in evaluating the performance indicators are reduced and evaluation integration is provided by considering the contribution of each indicator and each indicator group of balanced scorecard. The research method of this case study is applied. The data collection method is a questionnaire from the previous studies, the use of experts' opinions and the study of documents in the organization. MATLAB and SPSS were used to analyze the data. During this study, the customer and financial perspectives are of the utmost importance to assess the company branches. Among the sub-criteria, the rate of new customer acquisition in the customer dimension and the net income to sales ratio in financial dimension are of the utmost importance.

E-commerce as one of the most significant aspects of innovation in business processes is what takes place in companies across the world. The gap between information and communications technology and e-business application is called the digital divide. It is necessary to understand the reasons for the failure of commercial sites. Here the objective is to assess the commercial sites of Iran. Different methods are adopted to evaluate sites and electronic stores. The balanced scorecard is a rarely adopted method of concern to evaluate these sites in Iran. The survey methodology and Delphi technique are applied in building the research tools, which led to the development of a questionnaire. Through applying the BSC approach, the numbers of indicators in each of the four perspectives of BSC were identified. The DEMATEL technique is applied to determine the importance of different perspectives and to identify the causal correlations among the four perspectives. The results generated by SMART PLS graphics, the Structural Equation Modeling software, confirm the adequacy of this proposed model for websites. The findings here indicate that the growth and learning perspective have the greatest impact on the other perspectives while the other perspectives mostly affect the financial perspective.

A key indicator to evaluate the success of an organization is the degree of meeting specific civil project goals based on a predetermined schedule. Therefore, the main purpose of this paper is to evaluate the performance of governmental administration agencies based on realization of civil project goals. In this paper, the information published by the President Deputy of Strategic Planning and Control, that publishes an annual report of evaluation indicators for national civil development projects, are used to evaluate and prioritize the major and non-major governmental agencies. Also, the Gray Relational Analysis (GRA) and the TOPSIS method are employed to analyze the data. The results indicate that using the GRA method, Supreme Council of Seminary and using the TOPSIS method, The Ministry of Labor and Social Affaires have gained the highest ranking.

With the increasing use of the Unified Modeling Language (UML) diagrams to describe the software’s architecture and the importance of evaluating nonfunctional requirements at the level of software architecture, creating an executable model from these diagrams is essential. On the other hand, the UML diagrams do not directly provide features to evaluate nonfunctional system requirements. Thus, these capabilities can be added to UML diagrams by applying efficiency and reliability stereotypes. Because the techniques used in the UML is able to deal with certain matters, we develop uncertain UML, stereotypes and tags. In this paper, the architecture of a software system is described by using use case diagram, sequence and deployment of unified modeling language diagrams with annotations fuzzy stereotypes related to response time and reliability. The proposed method for calculating the response time and reliability based on fuzzy rules are introduced, and the algorithm is implemented for an executable model based on colored fuzzy Petri net.

There is an increasing need for enterprise architecture in numerous organizations with complicated systems with various processes. Support for information technology, organizational units whose elements maintain complex relationships increases. Enterprise architecture is so effective that its non-use in organizations is regarded as their institutional inability in efficient information technology management. The enterprise architecture process generally consists of three phases including strategic programing of information technology, enterprise architecture programing and enterprise architecture implementation. Each phase must be implemented sequentially and one single flaw in each phase may result in a flaw in the whole architecture and, consequently, in extra costs and time. If a model is mapped for the issue and then it is evaluated before enterprise architecture implementation in the second phase, the possible flaws in implementation process are prevented. In this study, the processes of enterprise architecture are illustrated through UML diagrams, and the architecture is evaluated in programming phase through transforming the UML diagrams to Petri nets. The results indicate that the high costs of the implementation phase will be reduced.

Nowadays with the growth of organizations and their affiliates, the importance of information systems has increased. Functional and non-functional requirements of information systems in an organization are supported. There are literally several techniques to support the functional requirements in terms of software methodologies, but support for the second set of requirements has received little attention. Software Performance Engineering (SPE) forum tries to address this issue by presenting software methodologies to support both types of requirements. In this paper, we present a formal model for the evaluation of system performance based on a pragmatic model. Because of supporting the concurrency concepts, petri net has a higher priority than queuing system. For mapping UML to colored Petri net diagram, we use an intermediate graph. The preliminary results indicate that the proposed model may save significant amount of computations.

Project management system (PMS) is broadly recognized as the effective management tool for several organizations. European Foundation of Quality Management (EFQM) model provides some advantages for companies to be successful in current competitive environment. This paper is based on the combination of EFQM and Quality function deployment (QFD) in order to eval-uate a PMS in an aviation organization. Although, an integration of these models increases the system complexity, the implementation of EFQM-QFD helps us identify all noteworthy success factors of PMS within the organization. In addition, the current status of PMS performance is evaluated based on these factors. This study attempts to find out how organizations ought to be managed to take full advantage of PMS tools. This study uses a comprehensive questionnaire to find all critical factors influencing on the success of the organization. The method of this paper is implemented in an organization in aviation industry with several management departments.