Providing a framework for knowledge sharing in knowledge-based organizations according to social capital indicators

Purpose: This study aimed to provide a framework for examining knowledge sharing from the perspective of social capital in knowledge-based organizations. For this purpose, the social capital and knowledge sharing literature has been reviewed and appropriate dimensions and components have been selected for use in the proposed framework. Research methodology: The number of experts participating in this study was 12. Kendall’s W Ranks is a statistical index for assessing the degree of agreement in a group. This statistical index, which is related to non-parametric statistics, is used to assess the degree to which a number of evaluators agree on the ranking of several factors. Result: This research's proposed framework shows that the main bottleneck in the knowledge sharing process is the sender. Numerous factors affect the motivation, quantity and quality of knowledge shared by him. The proposed conceptual model shows the factors in the field of social capital well. This means that the organization's managers should pay special attention to people with knowledge to activate the process of knowledge sharing in the organization as a driving force. Limitations: This research only described knowledge-based organizations. Contribution: The proposed conceptual framework makes a good distinction between formal and informal knowledge-sharing channels in a knowledge-based organization. Formal channels are controlled and manageable channels. Although the main burden of knowledge sharing in organizations lies with informal channels, the more managers can shift the organization's knowledge to formal channels, the more they can manage the process. This is a part of the job that social capital, in particular, helps to achieve. The proposed framework discusses the acceptance of the use of formal frameworks. Keywords: Social capital, Knowledge management, Knowledge sharing, Expertise metho

Investigating the reasons for failures and delays in R&D projects with the project management approach

Purpose: This study aimed to identify and investigate the reasons for failures and delays in R&D projects with an organizational productivity approach. Research methodology: In order to identify the most influential factors in the research area, a questionnaire with a Likert spectrum of five options was designed and distributed among the stakeholders of research projects. The questionnaire results were analyzed and 10 more effective factors were identified and solutions were used to improve the situation. Result: In the present study, after reviewing the background of the subject and reviewing previous studies, 149 factors affecting the failure and delay of projects were identified and after aggregating and summarizing the factors, a model was designed to classify the causes of delay in which 55 effective factors in two general categories. Intra-organizational and extra-organizational factors were examined. Limitations: This research only described Research-oriented organizations. Contribution: According to the analysis results regarding the more effective causes, problems and challenges related to each of the factors were studied and to reduce the impact of existing factors, various solutions and suggestions in the field of research variables using Expert opinion was provided

Provide a model for establishing a comprehensive knowledge management system in knowledge-based organizations based on success factors

Purpose: This study provides a model for establishing a comprehensive knowledge management system in knowledge-based organizations based on success factors. Research methodology: A researcher-made questionnaire was used to examine these factors and finally to present the model. The statistical population of this study is all managers and employees of knowledge-based organizations. There are 150 of them and 108 people were randomly selected as the research sample. Result: The results of factor analysis showed that all 7 factors under study explain 65.16% of the total variance, which is acceptable. On the other hand, the results of the Friedman test also showed the first to the seventh priority of effective factors of knowledge success in construction projects, including human resource development, knowledge-based orientation, knowledge evaluation and transfer, information systems infrastructure, business culture, modeling. Finally, there was a conflict between people. A model was designed according to the mentioned priority. Limitations: This research only described knowledge-based organizations. Contribution: In this article, using a comprehensive knowledge management system, an attempt is made to provide a mechanism for establishing and implementing a comprehensive knowledge management system in knowledge-based organizations to help it take an important step towards capacity building to create value in processes and exchanges. The knowledge of the experts of the organization should be removed in order to direct the tacit knowledge of the experts, which is the main capital of any organization, towards this important issue

The impact of customer assisted knowledge production capacity on customer capital in a knowledge-based center

Purpose: The purpose of this research is to investigate the impact of customer-assisted knowledge production capacity on customer capital. Research methodology: The statistical population of the study consisted of 70 managers, researchers and experts of a scientific center and the statistical sample was counted and estimated 70 persons. The research instrument of the researcher-made questionnaire consists of six dimensions: ability to identify customer needs, create and manage a customer information system, customer loyalty, market share, customer service capability and target customer identification. The validity of the questionnaire was estimated 0.94%. Results: The results show that the impact of customer knowledge production capacity on all dimensions of customer capital is significant. Also, most influential among customer capital factors is customer service capability. Finally, by confirming the research hypotheses, suggestions were made based on the results of the research to improve the client's capital of the statistical society. Limitation: This research only described Knowledge Based Center. Contribution: Organizations realized that relying on existing knowledge alone was not enough to compete in a competitive environment, and went beyond the boundaries of their organization to acquire knowledge. Organizations considered customers as a very useful and knowledgeable resource, and activities should be done to interact with customers in leading organizations. Keywords: Customer assisted knowledge production capacity, Customer capital, Intellectual capital, Knowledge managemen

Providing a lean and agile supply chain model in project-based organizations

Purpose: One of the differences between project-oriented and routine organizations is the difference in their supply chain. This leads to the use of distinct and new approaches to its management. In this article, according to the existing problems, a conceptual model of lean and agile supply chain in project-oriented organizations is presented by examining the lean functions and agility of supply chain discussion. Research methodology: This research is descriptive-analytical in terms of method and applied in terms of purpose. This study's statistical population includes all managers and supply chain experts of project-based organizations and the statistical sample includes 105 people who have been selected using a purposive sampling method. After presenting the conceptual model, a researcher-made questionnaire was used to collect information and to examine the intended model, the structural equation approach with PLS software was used. Results: The research findings indicate that the 114 identified items for the research model significantly explain their related components. The results of the model fit study showed that based on the convergent validity indices, Cronbach's alpha and Cronbach's alpha, and the subscription validity index and the exponential or redundancy validity index, the model is in the desired condition. Limitation: This research only described Knowledge Based Centre. Contribution: Organizations realised that relying on existing knowledge alone was not enough to compete in a competitive environment, and went beyond the boundaries of their organization to acquire knowledge. Organizations considered customers as a very useful and knowledgeable resource, and activities should be done to interact with customers in leading organizations. Keywords: Customer assisted knowledge production capacity, Customer capital, Intellectual capital, Knowledge managemen

Numerical and experimental investigation to design a novel morphing airfoil for performance optimization

Optimizing flying objects' wing performance has attracted a significant attention in the last few decades. In this article, some of the main mechanisms for changing the geometry of the wing were investigated and a new mechanism is proposed to improve the aerodynamic performance of the airplane wing. The designs have been simulated and analyzed from both aerodynamic and control points of view. In aerodynamic simulations using CFD methods, two airfoils of NACA series 6 with specifications 65-212 and 65-2012 were modeled. The results indicated that both airfoils used have a better performance compared to others in a certain range of the angle of attack. Subsequently, a new mechanism is proposed to change the wing geometry to optimize its structure. In the proposed mechanism, the structures of airfoils and wings consist of two fixed and moving parts, which can change their geometry with the help of a control circuit. The fixed part has a grooved track, and as the moving part moves in the direction of the grooves, the curvature of the upper and lower parts of the wing changes. The design control circuit includes an angle sensor, a micro controller, and a servomotor. The CFD results are entered into the micro controller as code. At any moment, the micro controller receives the angle data from the angle sensor and by comparing them with the CFD data, and issuing a command to the servomotor, it situates the wing curvature in the optimal state at all times. The built mechanism was tested at an attack angle of 0° and 25°. The results showed that the different parts of the mechanism work with very high precision and put the geometric shape of the wing in an optimal state in a completely intelligent way. It should be noted that the average error in test for t/c and Xt/c was 15.3% and 9%, respectively