The purpose of this study is to identify Knowledge Management Maturity barriers Along With Business in Iranian Sports. This research is descriptive-analytical type that has been done in the field and it is in line With applied research. The statistical population included faculty members of Sports Management of public and Azad universities and specialists of general departments of Sports and youth. The sampling method was random-stratified. and a research-made questionnaire was used to collect information. Data analysis was performed using SPSS23, PLS3 software. Bartlett tests, KMO tests, exploratory and confirmatory factor analysis were used to determine the barriers. The results showed that 11 factors were identified as barriers in Sports organization including: , lack of support and lack of Knowledge Management organizational infrastructure, lack of connection between Knowledge Management and Business and its strategies, Not desirable of managerial and environmental factors of Knowledge Management, , lack of security and weakness of information technology, lack of Knowledge Management strategies and goals, weakness of organizational structure and process of Knowledge Management, lack of attention to project Management and staff empowerment in relation of Knowledge Management, inefficient Management of Knowledge-based human sources, lack of Knowledge Management governance, low quality of Knowledge information, technology and Knowledge Management systems, low efficiency and effectiveness of Knowledge Management systems in Sports organizations

The aim of study was modeling the organizational and human factors Maturity of Knowledge Management based on Business in Sport of Iran. This study was conducted With a functionalistic approach using a survey method hence it is non-experimental type. Based on the aim, this study was application in the first stage, evaluation in the second stage and a type of research and development in the third stage. The statistical population included all Sport Management elites and experts in the general offices of Sport and Youth in Iran. Data were collected by library studies and field method. The Jamipour et al. (2014) standard questionnaire of Knowledge Management Maturity indicators aligned With Business strategies was used. Data were analyzed using the SPSS and AMOS software for descriptive and inferential statistics. The findings showed that all four dimensions of people, support and organizational infrastructure, evaluations and processes, and the flow of Knowledge Management had significant effects on Business. According to these results, it can be said that efficient Knowledge Management allows employees to interact and participate in Sport departments, to be in touch and to be up-to-date on the details of their work branch.

Purpose: The present research was conducted to explain creativity, based on self-Management and creative self-efficacy by mediating of educational engagement in elementary school students With learning Difficult. Method: The research method was a descriptive-correlation method With a path analysis design in the form of structural equations. The statistics society was included of students in 4th to 6th grads With learning problems that were engaged to educate in primary schools of Arak city in the academic year of 1400-1401, which were selected 200 boys’ and girls’ students (100 each gender) With learning problems as the research sample by using the purposeful sampling method. Data gathering tools were include Colorado Questionnaire, Shaffer's creativity questionnaire, Karwowski creative self-efficacy, Houghton and Neck's self-Management, and Wilborn's educational engagement, which were completed by teachers and parents of students With learning Difficult. The collected data were analyzed by using Pearson's correlation coefficients and path way analysis in SPSS and AMOS software. From structural equations modeling method was used to investigate the research model fitness.  Results: The findings showed that the research model have an agreeable fitness. Also acquired coefficients between variables parameters showed that meaningful direct effect of self-Management dimensions and creative self-efficacy on educational engagement and creativity. In this means, by increasing the self -Management and creative self-efficacy, there is a positive change in the degree of educational engagement and creativity in students With learning problems. So, the relationships between the variables of the model drawn in this research were confirmed.

The Qur'an contains religious values ​​for the advancement of man to happiness. The claim is that Quranic teachings are the basis of religious values; By choosing it better, the method of proving religious beliefs can be extracted. This research tries to extract the method of proving religious beliefs With a Business approach and by using artistic forms With a descriptive and analytical method and With a better selection of Quranic teachings. Based on the verses, the process was defined as the introduction to the institutionalization of religious values ​​in the Businessman 1- Gaining self-Knowledge (knowing the talents, capacities, existential dimensions and position of man in the universe); 2- Gaining monotheistic insight (knowing the origin and your relationship With the Creator); 3- Reciprocity is (knowing the destination and drawing the path of happiness in the universe). After the realization of these three stages, the beliefs must be proven through rational and scientific reasoning and penetrate, in this case, the acceptance of good qualities in the Businessman will be facilitated.

This paper specifies and prioritizes factors and variables affecting Knowledge Management and develops a Knowledge Management Maturity model. The developed model has a practical application and shows weaknesses and strengths of a particular organization in comparison With ideal and desirable position in each variable.Using a questionnaire, extracted factors and variables were confirmed and then prioritized by experts. Binomial test, Friedman, chi square and weight mean test were used to analyze the gathered data. At the end the model was tested in two organizations.

Knowledge Management (KM) is one of the growing apprehension in existing Business in the new age of the complex and quickly changing Business environment, and it has been realized that Knowledge is the organization's critical asset and latent strategic resource that gives a basis for competitive advantage. At this situation, banks require to use Knowledge and it prone to implementation related applications of Knowledge Management. One of the most important issues to implementation of Knowledge Management is how to select appropriate KM strategy. It is a kind of multiple attributedecision-making (MADM) problem required to consider a large number of complex factors. To determine the Knowledge Management strategy, there are many influencing factors. The purpose of this paper is to ranking the appropriate KM strategy With TOPSIS and VIKOR, and prioritization the effective important factors for evaluating KM strategies for reducing the cost and time. Additionally, an empirical study is presented to illustrate the application of the proposed method.

Objective: The Maturity of Knowledge Management is considered as an essential Management activity for Businesses. This study was conducted With the aim of evaluating the elemental structure and standardizing the Maturity of Knowledge Management Based on Business Strategies Questionnaire. Methodology: This study is a field research and is based on objective, applied and research-development, and has been conducted in a nonexperimental way. To investigate the factor structure and standardize the questionnaire, 282 people among all the elite Sports Management and specialists from the entire Sports and youth departments of the country Responded To The Maturity of Knowledge Management Questionnaire Based on Business Strategies Jami Pour et al. (1393). The method Multistage cluster sampling. Data were analyzed by SPSS and AMOSE software. Results: The results showed that, Factor analysis of first order and second order showed that all factor loads were greater than 0. 4 and were significant at 95% probability level. Therefore, the construct validity of the indicators of the strategic, human-organizational and technical-content categories is established and no item is deleted. Conclusion: According to the results of this research, the Maturity of Knowledge Management questionnaire, Along With Business strategies, has the characteristics needed to apply Knowledge research in Business.

This paper explains the nature of integration between Knowledge Management (KM) and Business Intelligence (BI). There has been some confusion as to the relationship between KM and BI. BI mainly focuses on explicit Knowledge, but KM encompasses both tacit and explicit Knowledge. Both of them promote learning, decision- making and understanding. KM influences BI through organizational Knowledge creation, Knowledge transfer and learning. Therefore, this paper defines BI as a part of KM by evaluating importance of their integration. As this relationship improves right decision-making in organizations and their performance because of the rise and fall of the economic environment, enterprises need to adjust their policies and strategies rapidly in order to respond to sophistication of competitors, customers and suppliers. Information is known as the main key for enterprises so integrating Business Intelligence and Knowledge Management are used not only for saving suitable information for enterprise but also for improving performance and process of activities in organizations.

Entrepreneurs are the main forces of economic development, which in addition to creating jobs and wealth, they lead to technological innovations, and Without them, making significant changes in economic systems is difficult. Previous researches identified that Business Maturity and its affecting factors are considered as one of the most important areas related to entrepreneurship. Thus, this research seeks to identify the factors affecting changes in the Business model of a platform/digital startup and its development in accordance With organizational Maturity, enabling startups to provide valuable products. In the present research, by studying 55 Business models of the most successful startups in the world, using experts’,panel, we achieved a significant relationship between effecting factors on development of Business model and startup Maturity steps described in Batra model. Using CFA method and data obtained from startup Business activists, the achieved conceptual model was analyzed and determined that 33 factors in different stages of Business development, from opportunity analysis to launch Management, should be considered to design a suitable Business model in four dimensions of customer identification, value proposition, value chain and profit mechanism to increase the probability of sustainable Business success and overcome barriers to market entry.

Introduction: Knowledge Management Maturity [KMM] determines the capacity and stages of the organization’, s growth in processes and the readiness and identifies the necessary element for the successful implementation of Knowledge Management strategies, goals and plans. This study was conducted With the aim of designing a model for assessing KMM in healthcare organizations. Methods: This was an applied research that has been done by mixed method. At the qualitative phase, snowball sampling was used. Semi structured interview was done With 12 experts in healthcare organizations in Tehran. The interviews were analyzed by qualitative content analysis. Two methods were used for reliability, reviewing articles after implementation by expert peoples and agreement of two coders. According to extracted factors, close questionnaire was prepared and distributed to 120 expert peoples by purposive sampling method and requested them to prioritize the choices according to Likert scale. For data analysis, SPSS 22 and exploratory factor analysis was used. Results: In extracted model, five main layers were identified, including strategy, processes, enablers, outcomes and external factors. The KMM levels include of initial, awareness defined, managed, optimized, entrepreneur and professional. The maximum load factor was related to the managed level [0. 964]. Each level of Maturity was correlated With next level, indicating continuity of KMM levels [p<0. 05]. Conclusion: The results showed that in KMM and learning organizations, the social dimension in healthcare service was more important than technical aspect as relates to the health of community and peoples. The role of Knowledge culture and leadership in KMM and learning organization were more prominent than other factors.