Imam Hossein UniversityStrategic Management of Organizational Knowledge2645-42621320190220Shakiba-Hadi Model: A New Approach forKnow ledge Strategic Formulation, Based The claims of the Islamic Republic of IranShakiba-Hadi Model: A New Approach forKnow ledge Strategic Formulation, Based The claims of the Islamic Republic of Iran114120485210.47176/smok.2018.1012FAAbbas ChahardoliStrategic Management of the National Defense University of the Institute of Strategic and Human Resources Management and Head of the Center for the Development of Humanities in Strategic Areas0000-0002-1555-5290Journal Article20190212Principles of Strategic Strategies will be effective, regardless of the status of knowledge required, and the analysis of the knowledge gap.Adoption of the descriptive and combinational approaches to the strategic management of knowledge in the context of Islamic Republic of Iran Due to its specific structure, it faces serious challenges and disadvantages. This paper attempts to present a model of Shakiba-Hadi, religious and religious principles and deficiencies of Western models, while introducing a native and contingent interactive approach for national-level organizations. The model identifies the main criteria for their success in 9 factors and 198 indicators with a focus on areas Knowledge is about the approach of the reference point, of course, in the context of the capabilities of the tools and the subjects. Data are quantitatively and quantitatively calculated in numerical order and with fuzzy logic. After determining the size of the Shannon entropy, the opinion of the auditor and the weight of its estimation are determined by the minimum squares. In order to verify the applicability of the model, a model has been implemented in one of the defense fields. The results of the demonstration The organization of the 9 factors only has seven main factors, and of the 198 indicators only 20 indicators are needed, which indicate that the organization is in a state of the art, in principle, and in a strategic manner, and in a physical and cultural entity with a value of 158 in a barrier condition. Therefore, it is suggested that before the strategy is initiated, the inhibitory factors will remain and then strengthened, while the engineers will be strengthened.Principles of Strategic Strategies will be effective, regardless of the status of knowledge required, and the analysis of the knowledge gap.Adoption of the descriptive and combinational approaches to the strategic management of knowledge in the context of Islamic Republic of Iran Due to its specific structure, it faces serious challenges and disadvantages. This paper attempts to present a model of Shakiba-Hadi, religious and religious principles and deficiencies of Western models, while introducing a native and contingent interactive approach for national-level organizations. The model identifies the main criteria for their success in 9 factors and 198 indicators with a focus on areas Knowledge is about the approach of the reference point, of course, in the context of the capabilities of the tools and the subjects. Data are quantitatively and quantitatively calculated in numerical order and with fuzzy logic. After determining the size of the Shannon entropy, the opinion of the auditor and the weight of its estimation are determined by the minimum squares. In order to verify the applicability of the model, a model has been implemented in one of the defense fields. The results of the demonstration The organization of the 9 factors only has seven main factors, and of the 198 indicators only 20 indicators are needed, which indicate that the organization is in a state of the art, in principle, and in a strategic manner, and in a physical and cultural entity with a value of 158 in a barrier condition. Therefore, it is suggested that before the strategy is initiated, the inhibitory factors will remain and then strengthened, while the engineers will be strengthened.https://jkm.ihu.ac.ir/article_204852_a5fa3545ccb5ae5f8e6131b60c415228.pdfImam Hossein UniversityStrategic Management of Organizational Knowledge2645-42621320190220Presenting a model for the development of a knowledge map of science and technology incubators based on process maps
(Case study: university science and technology incubators)Presenting a model for the development of a knowledge map of science and technology incubators based on process maps
(Case study: university science and technology incubators)437620485310.47176/smok.2018.1007FASeyed Alireza Mir Mohamad SadeghiHead of Industrial Department of Imam Hossein UniversityJournal Article20190121In this paper, a comprehensive study of organizational knowledge maps, as one of the main techniques for knowledge management, has been investigated in order to development a model of knowledge map of science and technology incubators. Primarily, to achieve this purpose, related investigations between 1998 and 2018 have been taken into consideration and different models for development of knowledge maps and effective factors on these models have been extracted by content analysis method. On the other hand, by studying features of science and technology incubators, effective factors on designing and developing of incubator’s knowledge maps with consideration the most effective factors based on frequency in related researches have been identified and determined. Then, as a contribution to previous studies, a practical model has been developed based on these factors and process map of incubators. The model is consistent with the incubator's features, and developed in seven steps. To implement the proposed steps of developing incubator’s knowledge map, the corresponding work sheets have been designed that help in how to knowledge mapping in practice. Finally, the proposed model for development of knowledge map has been implemented in supportive service section of incubators of a particular university as a pilot.In this paper, a comprehensive study of organizational knowledge maps, as one of the main techniques for knowledge management, has been investigated in order to development a model of knowledge map of science and technology incubators. Primarily, to achieve this purpose, related investigations between 1998 and 2018 have been taken into consideration and different models for development of knowledge maps and effective factors on these models have been extracted by content analysis method. On the other hand, by studying features of science and technology incubators, effective factors on designing and developing of incubator’s knowledge maps with consideration the most effective factors based on frequency in related researches have been identified and determined. Then, as a contribution to previous studies, a practical model has been developed based on these factors and process map of incubators. The model is consistent with the incubator's features, and developed in seven steps. To implement the proposed steps of developing incubator’s knowledge map, the corresponding work sheets have been designed that help in how to knowledge mapping in practice. Finally, the proposed model for development of knowledge map has been implemented in supportive service section of incubators of a particular university as a pilot.https://jkm.ihu.ac.ir/article_204853_5e71db0aac596ef9410c082b5486dbc9.pdfImam Hossein UniversityStrategic Management of Organizational Knowledge2645-42621320190220Structural Equation Modeling of Gamification Factors Affecting Knowledge Sharing - a Case Study of Selected Universities in TehranStructural Equation Modeling of Gamification Factors Affecting Knowledge Sharing - a Case Study of Selected Universities in Tehran7711620485410.47176/smok.2018.1014FAMohammad Milad AhmadiPh.D. Student in Systems Management, Imam Hossein University, Tehran, Iran0000-0002-5726-2891Owais TorabiPh.D. Student in Systems Management, Imam Hossein University, Tehran, IranMahdi SafianAssistant Professor, Faculty of Management and Strategic Planning, Imam Hossein University, Tehran, IranJournal Article20190223Gamification is the use of game-based thinking to encourage and motivate people and to solve problems. On the other hand, knowledge sharing is one of the important parts of knowledge management. Knowledge sharing is the core of knowledge processing; where knowledge is created and used. According to many researchers, organizations face challenges in implementing the knowledge sharing processes and motivating their employees. The present study aims to investigate the dimensions and components of gamification affecting knowledge sharing -that have been extracted in previous research- and assess the existence of significant relationships between them using Structural Equation Modeling. The statistical population of the study is experts, researchers, and students of selected universities in Tehran, from which 120 people familiar with gamification were selected through clustering and purposeful approach as a sample. The research method is analytical-descriptive using structural equation modeling; and the measurement tool is a five-point questionnaire based on the Likert scale. Cronbach's alpha and combined reliability (CR) were used to evaluate the reliability of the data collection tool and the AVE tool was used to check the validity. The results show that gamified dimensions (including mechanisms, dynamics, and aesthetics), gamification context (including platform, revenues, costs, players, etc.) and supporting factors (including management support, project evaluation, knowledge sharing process, etc.) have a significant effect on knowledge sharing that among them, supporting factors have the highest effect; so academic centers should pay special attention to this factor. Of course, the other two factors of gamification (gamified dimensions and system context) also play a considerable role in improving knowledge sharing. Finally, it is recommended to academic centers to use gamification in knowledge sharing processes, considering the studied factors.Gamification is the use of game-based thinking to encourage and motivate people and to solve problems. On the other hand, knowledge sharing is one of the important parts of knowledge management. Knowledge sharing is the core of knowledge processing; where knowledge is created and used. According to many researchers, organizations face challenges in implementing the knowledge sharing processes and motivating their employees. The present study aims to investigate the dimensions and components of gamification affecting knowledge sharing -that have been extracted in previous research- and assess the existence of significant relationships between them using Structural Equation Modeling. The statistical population of the study is experts, researchers, and students of selected universities in Tehran, from which 120 people familiar with gamification were selected through clustering and purposeful approach as a sample. The research method is analytical-descriptive using structural equation modeling; and the measurement tool is a five-point questionnaire based on the Likert scale. Cronbach's alpha and combined reliability (CR) were used to evaluate the reliability of the data collection tool and the AVE tool was used to check the validity. The results show that gamified dimensions (including mechanisms, dynamics, and aesthetics), gamification context (including platform, revenues, costs, players, etc.) and supporting factors (including management support, project evaluation, knowledge sharing process, etc.) have a significant effect on knowledge sharing that among them, supporting factors have the highest effect; so academic centers should pay special attention to this factor. Of course, the other two factors of gamification (gamified dimensions and system context) also play a considerable role in improving knowledge sharing. Finally, it is recommended to academic centers to use gamification in knowledge sharing processes, considering the studied factors.https://jkm.ihu.ac.ir/article_204854_4d92d03e898f88b877be940c7497b8e1.pdfImam Hossein UniversityStrategic Management of Organizational Knowledge2645-42621320190220Examining and Understanding the Impact of Social Networks on Social InnovationExamining and Understanding the Impact of Social Networks on Social Innovation11714520485510.47176/smok.2018.1010FAMehran KeshtkarSpecialized doctorate in strategic management, member of the strategic knowledge management group, National Defense University, Tehran, IranSedigheh PourmazaheriMaster's degree in Information Technology Management, Electronic Department, Islamic Azad University, Tehran, IranJournal Article20190130Due to the expansion and penetration of social networks among users, private and personal communication, ease of access has become an unparalleled area of communication and has provided a lot of groundwork. The main purpose of this study is to investigate the impact of social networks on social innovation. The main question is, what social networks do they have on social innovation? The statistical population consisted of students of different levels of associate, bachelor, master and Ph.D. in five selected universities in Tehran. With regard to the wide range of statistical population and the impossibility of access to the entire population, 140 simple random sampling methods were selected and a questionnaire was sent to receive their response. In this research, two social network and social innovation questionnaires with five options were prepared. The validity and reliability of the questionnaire, were confirmed by experts and the factor analysis. The results showed that at 95% confidence level, the "virtual social network" with a significant path coefficient of 5.34 on "Ideas for problem solving", 4.71 on "product effectiveness and final achievement", 4.66 on "recognizing the problem" and 3.96 affects the "implementation and institutionalization of ideas".Due to the expansion and penetration of social networks among users, private and personal communication, ease of access has become an unparalleled area of communication and has provided a lot of groundwork. The main purpose of this study is to investigate the impact of social networks on social innovation. The main question is, what social networks do they have on social innovation? The statistical population consisted of students of different levels of associate, bachelor, master and Ph.D. in five selected universities in Tehran. With regard to the wide range of statistical population and the impossibility of access to the entire population, 140 simple random sampling methods were selected and a questionnaire was sent to receive their response. In this research, two social network and social innovation questionnaires with five options were prepared. The validity and reliability of the questionnaire, were confirmed by experts and the factor analysis. The results showed that at 95% confidence level, the "virtual social network" with a significant path coefficient of 5.34 on "Ideas for problem solving", 4.71 on "product effectiveness and final achievement", 4.66 on "recognizing the problem" and 3.96 affects the "implementation and institutionalization of ideas".https://jkm.ihu.ac.ir/article_204855_77503a6aa2a6fe59c3f2941090ecf275.pdfImam Hossein UniversityStrategic Management of Organizational Knowledge2645-42621320190220Evaluate of Knowledge Management Infrastructure in Isfahan Oil Refining CompanyEvaluate of Knowledge Management Infrastructure in Isfahan Oil Refining Company14718420485610.47176/smok.2018.1008FASepideh DadkhahMaster's degree in Information Science and Epistemology, Faculty of Educational Sciences and Psychology, Isfahan University, Isfahan, IranAsefeh AsemiAssociate Professor, Department of Information Science and Epistemology, Faculty of Educational Sciences and Psychology, Isfahan University, Isfahan, IranMohammadreza AbediAssociate Professor, Career Counseling Department, Faculty of Educational Sciences and Psychology, Isfahan University, Isfahan, IranFereshteh MashhadiMaster of Industry, Islamic Azad University, Najaf Abad Branch, Isfahan, Iran, (Industrial Consultant)Journal Article20190122This study aimed to evaluate the organizational and technology infrastructure of knowledge management from the perspective of the company's employees in Isfahan Oil Refining Company. It was used a survey-descriptive method in this research and the population under investigating includes all managers and employees of Isfahan Oil Refining Company. It was used a survey-descriptive method in this research and the population under investigating includes all managers and employees of Isfahan Oil Refining Company with a diploma education and higher (2454 people), to determine the sample size, it was used the formula of sampling i.e. Cohen and were selected 368 people as research sample. Sampling method is random stratified sampling and the tool for collecting the research data was researcher-made questionnaires with the Likert scale. The face validity of the questionnaire approved by experienced teachers and in order to determine the reliability it was used Cronbach’s alpha coefficient (0.93). The analysis was performed on the received questionnaires. It was used descriptive statistics i.e. frequency and mean, and in inferential statistics was used Single sample t-test and Friedman test. The findings of the study indicated that the organizational and technological infrastructures of knowledge management in Isfahan Oil Refining Company exist (the p-value is less than 0.05), but the implementation is less than average.This study aimed to evaluate the organizational and technology infrastructure of knowledge management from the perspective of the company's employees in Isfahan Oil Refining Company. It was used a survey-descriptive method in this research and the population under investigating includes all managers and employees of Isfahan Oil Refining Company. It was used a survey-descriptive method in this research and the population under investigating includes all managers and employees of Isfahan Oil Refining Company with a diploma education and higher (2454 people), to determine the sample size, it was used the formula of sampling i.e. Cohen and were selected 368 people as research sample. Sampling method is random stratified sampling and the tool for collecting the research data was researcher-made questionnaires with the Likert scale. The face validity of the questionnaire approved by experienced teachers and in order to determine the reliability it was used Cronbach’s alpha coefficient (0.93). The analysis was performed on the received questionnaires. It was used descriptive statistics i.e. frequency and mean, and in inferential statistics was used Single sample t-test and Friedman test. The findings of the study indicated that the organizational and technological infrastructures of knowledge management in Isfahan Oil Refining Company exist (the p-value is less than 0.05), but the implementation is less than average.https://jkm.ihu.ac.ir/article_204856_f7892d120f4f95f37070eed853d91740.pdfImam Hossein UniversityStrategic Management of Organizational Knowledge2645-42621320190220The Effect of Knowledge Management on Supply Chain Performance in the Offshore Sector of Oil and Gas
(Case study: Iranian Offshore Engineering and Construction Company)The Effect of Knowledge Management on Supply Chain Performance in the Offshore Sector of Oil and Gas
(Case study: Iranian Offshore Engineering and Construction Company)18520520485710.47176/smok.2018.1004FAAhmadreza EtemadiDepartment of Management, Central Tehran Branch, Islamic Azad University, Tehran, IranAhmadreza KasraeiDepartment of Management, Central Tehran Branch, Islamic Azad University, Tehran, IranJournal Article20190112Today, supply chain management is considered as an effective factor in achieving competitive advantage in different organizations. It can be said that organizations are not competing with each other, but supply chains compete for gaining more markets. On the other hand, organizations have found that knowledge is the most strategic source of enterprise, and is the focus of competition and survival. Knowledge Management and its implementation in the supply chain can be considered as an effective factor in increasing the efficiency of the supply chain. The purpose of this study, which was implemented at one of the largest and most active companies in the field of offshore oil and gas, is to determine the role of knowledge management in the efficiency of the supply chain. In this study, based on research literature, a conceptual model and based on those hypotheses was developed. The statistical population of this study was directors and experts of the Iranian Offshore Engineering and Construction Company (IOEC), and the sample was selected based on a non-probabilistic targeted approach and it was 33 people. Due to the limited number of statistical samples, structural equations and smart PLS software (version 2) were used to test the hypotheses.<br />According to the data analysis, all hypotheses have been confirmed and priority has been made based on factor load. Accordingly, in the case of knowledge management, the factor “knowledge preservation” has the most effective coefficient and the factor "knowledge sharing" has the least effect on the efficiency of the supply chain. Considering the importance the importance of the Knowledge Preservation, it can be done by creating the right IT infrastructure and timely storage of knowledge through these infrastructures and systems in order to make the chain more efficient.Today, supply chain management is considered as an effective factor in achieving competitive advantage in different organizations. It can be said that organizations are not competing with each other, but supply chains compete for gaining more markets. On the other hand, organizations have found that knowledge is the most strategic source of enterprise, and is the focus of competition and survival. Knowledge Management and its implementation in the supply chain can be considered as an effective factor in increasing the efficiency of the supply chain. The purpose of this study, which was implemented at one of the largest and most active companies in the field of offshore oil and gas, is to determine the role of knowledge management in the efficiency of the supply chain. In this study, based on research literature, a conceptual model and based on those hypotheses was developed. The statistical population of this study was directors and experts of the Iranian Offshore Engineering and Construction Company (IOEC), and the sample was selected based on a non-probabilistic targeted approach and it was 33 people. Due to the limited number of statistical samples, structural equations and smart PLS software (version 2) were used to test the hypotheses.<br />According to the data analysis, all hypotheses have been confirmed and priority has been made based on factor load. Accordingly, in the case of knowledge management, the factor “knowledge preservation” has the most effective coefficient and the factor "knowledge sharing" has the least effect on the efficiency of the supply chain. Considering the importance the importance of the Knowledge Preservation, it can be done by creating the right IT infrastructure and timely storage of knowledge through these infrastructures and systems in order to make the chain more efficient.https://jkm.ihu.ac.ir/article_204857_4f942dd4a1e97a74722017f878d690f0.pdf