دکتر مجید حسنی

Business process improvement for promoting product quality has continuous importance in every industry. Every organization should measure, control and analyze its performance. Therefore, the assessment and management of performance is considered as an important strategic process which is affected by various environmental and organizational factors. Management and performance assessment have been considered as critical tools to manage an organization and in order to survive and develop in a competitive environment, organizations require their own assessment and management performance system. Various performance measurement models have been designed and elaborated from the past to the present and each one has specific features. Regarding environmental complexities and competitive environments, it is necessary to design a process performance measurement model with new smart technological features for organizational needs. THEORETICAL FRAMEWORK:
Different methodologies and models have been provided in the management literature for the management of performance processes. Performance management can focus on the performance of an organization, a department, process and employee. In this research, based on the literature review, the interaction effect of process performance measurement model, intelligence agents, and process model were investigated. In this article, theoretical basis are examined in three categories (i.e., performance measurement model, intelligence agents, and process model). In terms of performance measurement model, some models from past to present were considered. In this group, more than thirty different models were studied. Regarding intelligence agents, their features and functions were considered. Intelligence agent’s technology has been used in various fields such as manufacturing, process control, communications, transportation systems, SCM, knowledge management, etc. The feature and characteristics of an agent depend on application and its target. Accordingly, some of their common features are as follows: Autonomy, mobility, adaptability, collaborate with others, and reliability. Moreover, in the category of process model, the most important and relevant process model was considered. In this group, process reference model and frameworks as APQC, Value Chain, SCOR, 6Sigma and others were studied. In this research, based on the literature review, the interaction effect of process performance measurement and intelligence agent were studied, and agent-based modeling in process performance measurement was presented. In this article, data was gathered from literature review and some documents. Experts’ opinions have also been used to design and evaluate the model. In addition, to obtain the opinion of experts, the Delphi method was used in two panels. Interviews with experts were used in order to elicit general organization knowledge and to acquire tacit knowledge related to design of model. Then, in order to design the agent-based model, RUP and UML techniques were used. RESULTS and DISCUSSION: In this paper, based on the literature review and experts opinions, the design of agent-based modeling in process performance measurement was presented. The model designed has three layers; the first layer has five steps (i.e., define, measurement, analysis, improvement and control); the second layer includes intelligence agents and the last layer consists of databases and a process model. Agent-based architecture has been considered in the presented model and some agents were defined in this model as definer, reporter, recommender, processer and observer. In this research RUP and UML techniques were used for architecture of agents. In addition, experts were asked to evaluate the model with Delphi methodology in two panels. CONCLUSIONS and SUGGESTIONS: The research findings are in harmony with the aim of the research proposing an agent based conceptual model of process performance measurement with specified and categorized results. This model was designed in three layers, the first layer has five steps, and each step involves specified activities and is related to certain agents. The second layer includes some agents and the last layer consists of databases and reports. In this research, in order to design the optimal agent-based modeling, we tried to use the RUP method and language of UML modeling; hence, the results shown as user diagrams, activity charts, and class diagrams are all related to the agents. A future study would also aim to develop an agent-based modeling in performance measurement systems, and implement the agent-based model for pilot studies in organizations. It is hoped that the findings of this research suggest an adequate level of interest in both process performance and business intelligence in the field of agents, and encourage further investigation to address process performance using intelligence agent techniques, as discussed in this paper.

Due to the mystical, humane and courageous personality of Imam Ali (AS), his conduct is full of instructive themes that can compete modern scientific models of these days, and can be referred to as superior and excellent patterns for this time. From a crisis management point of view, his management of the battle of Jamal is full of instructions consistent with the crisis management methods of today. Employing all aspect and techniques of crisis management, his method takes the advantages of maximum utilization of Islamic and Quranic doctrines. This research is based on the study of the literature relating to the issue through a descriptive approach and with reference to the experts of religious schools and universities. It encompasses the approaches to management of the crisis of the present day, and presents the practical procedure of crisis management in the battle of Jamal. Using the dynamical approach, dynamical loops approach of crisis management systems in the battle of Jamal was identified, and the equilibrium theory was tested in this research. Imam Ali’s conduct emphasizes on the full application of religious, cultural and social talents and capabilities. It provides a learning and educational approach to prevent future crises and psychological, social and infrastructural restoration to improve the healthiness of the community.

Management and performance assessment has been provided as a critical tool to the management of the organization and in order to survive and develop in a competitive environment, the organizations require their own assessment and management performance. Various performance models have been designed and explained from the past to the present and each one has specific features. In addition to investigating performance models and their features from the past to the present we deal with investigating the effect of the management approaches on the formation of these models. Management approaches which have developed under the effect of environmental, organizational and various other factors over time, have influenced designing performance models and have caused evolution and transformation of the relevant performance models. The suitability of the management approaches and the performance models have been investigated in this study and the dynamics of this effect has been considered in the relevant mappings. In this paper, according to some studies, the impact of four major approaches of management (traditional approach, human resource approach, quantitative approach and systemic and contingency approach) using the dynamic methodology on the formation of performance models, their evolution and status have been considered and it is observed that the managerial approaches have developed and evolved under the influence of environmental and organizational variables and have led to the formation and evolution of performance models in order to meet organizational and environmental needs.

Knowledge management is an approach enabling the pioneer organizations have benefited from it in an appropriate manner. Knowledge management as a system of two aspects of the organization and structure that success and its intelligence on the basis of its structure coupled with other organizational systems and subsystems are defined. The focus of this paper is to identify coupling and success factors of knowledge management system based on a coupling with other organization’s subsystems. In this research, the first, coupling structure components of knowledge management system identified then with factor analysis the significance of each of the subsystems of the knowledge management system was evaluated, then by using statistical techniques the importance of subsystems in coupling prioritized. In this study, the success of a knowledge management system in organization with coupling structure approach is considered. This approach, causing greater compatibility knowledge management system with other subsystems base of priority of coupling and intelligent knowledge management system in the organization provides.

The role of knowledge management in project management is important and appropriate implementation of this is fairly effective in the efficiency of project management. Identification and using of knowledge groups is one of the principal components of knowledge management. Using association rules to identify the relationship between knowledge groups of the project team can improve and increase utilization of knowledge groups. In order to discover association rules between variables, there are different methodologies that can lead to different results. In this study considered utilization of three methodology to discovery initial of association rules in knowledge groups between project team members.The identified basic rules are checked with multi-criteria decision making technique and then classified. The results of this study as for utilizing a combination of methodologies of discovering the association rules and final classificating rules with TOPSIS technique can introduce the association rules among knowledge groups in project teams that these results lead to the promotion of knowledge management performance in project management.

Management of project''s knowledge is very effective in the performance of project management and carries a great portion in achieving the targets of organization and projects. In project-oriented organization، knowledge and experiences of projects play a crucial role. Accurate identification and suitable application of knowledge in success of knowledge management is necessary. This combines with accurate identification and suitable application of knowledge and knowledge sharing techniques and relationship between them. In this paper، recognition، prioritization and classification of knowledge and knowledge sharing techniques in project-oriented organization are taken to consideration with survey experts by the use of literature review، PMBOK، best statistic techniques and factor analysis. The results recommend that which kind of knowledge sharing technique groups is better for implementation by which kind of knowledge groups. Suitable application and accurate identification of knowledge and knowledge sharing techniques and relationship between them can play an effective role to perform knowledge management successfully in project management.