Showing 6 results for Knowledge Sharing
Mohammad Hassanzade, Sakineh Alipour-Irangh, ,
Volume 1, Issue 1 (4-2014)
Abstract
Background and Aim: The purpose of this study was to investigate the relationship between social capital and knowledge sharing at national information centers in Iran.
Method: This applied research was carried out using two questionnaires and a checklist. Data were collected from all the managers, but stratified random sample of staff members of three: main national information centers (National library, Regional Information Center of Science and Technology [RICEST], and Iranian Institute for Information Science and Technology).
Results: research findings indicated that: A) from managers point of view, lowest relationship between social capital and knowledge sharing belonged to the national library. But results gained from staff members credited the lowest situation to the RICEST; B) all of three information centers coined low range of knowledge sharing, therein, National Library with mean 2.17 out of 5 was the tallest among others; C) National Library was the highest among other centers regarding three dimensions (Relations, Trust and Shared norms) of social capital; D) Relationship between knowledge sharing and trust in all three institutes was significant But in Iranian Institute for Information science and Technology the relationship was more outstanding than others; and E) there was significant relationship between shared norms and knowledge sharing in all institutes.
Conclusion: In order for the National Information centers to improve the knowledge sharing culture among their staff members they should internalize mutual trust, provide them with shared norms and improve organizational communication
Maghsoud Amiri, Ali Entezari, Najmeh Sadat Mortaji,
Volume 3, Issue 3 (12-2016)
Abstract
Background and Aim: Due to the extensive use of knowledge intelligence, the future of countries depend on the application of specialized knowledge-based social networks. Thus, it is noteworthy to highlight the important role of the professionals. The key indicators of a model for knowledge sharing of Iranian experts, in experts’ social networks has been identified.
Methods: For this purpose, experts were interviewed in depth using a semi-structured framework in the field of research (n = 15) as well as the Delphi method (n = 9) were used to collect data in research.
Results: Findings indicate that the main variable of knowledge sharing behaviors are divided into individual, group, and environmental indexes respectively. Components of the individual dimension of knowledge sharing includes motivation, ethicality, personality, ability, attitude towards knowledge sharing and psychological security. Group dimension of knowledge sharing include shared benefits, group structure and social capital; and finally environmental factors, including technological (beautiful graphics, user-friendly network, server security, the communication infrastructure), political-legal (Funding for R & D for cyberspace area, allocation of financial resources to develop the infrastructure, filtrating, laws relating to intellectual property, bandwidth regulations and laws of cyberspace), economic (The cost of Internet and diversity of online packages) socio-cultural (experts lifestyle and Iranian national character).
Conclusion. We can only come to a comprehensive and theoretical model in the field of knowledge sharing behavior of Iranian users when identify the definitions, concepts, dimensions and components of virtual space based on the conditions prevailing in the country.
Ebrahim Aryani Ghizghapan, Adel Zahed Bablan, Parvaneh Rahimi, Mahdi Moeinikia,
Volume 4, Issue 3 (12-2017)
Abstract
Background and Aim: The purpose of this study was to explain the mediating role of social capital in the relationship between the application of virtual social network and knowledge sharing practices in cyberspace.
Methods: The research in terms of the main strategy, was quantitative, in terms of the strategy, was field, and in terms of analytical, was descriptive-post-event technique. The statistical population consisted of postgraduate students users of telegrams social network at Mohaghegh Ardabili University in the academic year of 2016-2017. The sampling method was random. The sample size according to the Kregci-Morgan model and with error α = 0.05, was considered 210 persons. To collect data, virtual social networking questionnaire (with reliability α= 0.70), Social Capital Questionnaire of Nahapiet and Ghoshal (1998) (with reliability α= 0.93) and Knowledge Sharing Questionnaire of Bohlool (1392) (with reliability α= 0.93) was used. Validity of the tools was confirmed by the professors of education and psychology. Data were analyzed using two software’s SPSS v. 22 and Lisrel 8.50 and analyzed by structural equation modeling.
Results: The results showed that the proposed model had suitable fit (x2/df=2.96, GFI=0.93, AGFI=0.92, CFI=0.91, NFI=0.93, RMSEA=0.81) and the component of virtual social networking has a direct and indirect effect through the component of social capital on knowledge sharing in cyberspace (P<0.05).
Conclusion: The social network of Telegram, based on its hyperactivity capacity in shaped relationships, has been developing the behavior of user knowledge sharing in the cyberspace. Therefore, educating and developing and continuously monitoring the space of these networks and planning for the future can be a major proposition for virtual domain managers.
Dr Rouhollah Tavallaei, Dr Navid Nezafati, Mr Mohammad Milad Ahmadi,
Volume 6, Issue 1 (4-2019)
Abstract
Background and Aim: Today, knowledge is essential to the survival and success of any organization. Given that they are the people who create, share and use knowledge, an organization cannot effectively use knowledge unless its employees are willing to share their knowledge and attract knowledge of others. On the other hand, Gamification involves combining the usual mechanisms in the games with the work space, in order to make things more appealing and to direct human behavior towards the goals of the system. Gamification is actually the use of game components on issues other than the game and emphasizes the use of entertainment and pleasure in the work. In this research, it has been tried to study and recognize the Gamification, its dimensions, mechanisms, dynamics, and models, using Grounded Theory method; and the following, we try to find a way to understand the role of the Gamification and apply it to the sharing and dissemination of knowledge.
Methods: Grounded Theory is an inductive method of theoretical discovery that allows the researcher to develop a report on the general characteristics of the subject; While simultaneously consolidating the basis of this report in empirical data observation. Using purposeful sampling, research data were collected using interviewing tools and analyzed through data analysis and coding principles.
Results: In this research, after formulating the stages of Grounded Theory and types of data encoding, in the end, a theory with visual modeling is presented and evaluated.
Conclusion: The dimensions of the proposed framework include the “organizational context”, “game-related dimensions”, and “other indicators that affect the Knowledge Sharing- Gamification”. Each of these dimensions includes lower-level components that are described in the model's description. For example, “organizational context” includes incomes, costs, platform, and so on, and “game-related dimensions” include the mechanisms, dynamics and aesthetics of the game
Dr Saeedeh Ebrahimy, Dr Ghasem Salimi, Mrs Sahar Anbaraki, Mrs Hanieh Zare,
Volume 7, Issue 1 (6-2020)
Abstract
Aim: Scientific social networks were shaped as part of a set of social software and a platform for international interactions sharing the tangible and intangible knowledge of researchers. The purpose is to investigate the patterns and behaviors of knowledge sharing of researchers in Research Gate. Based on this, the question and answer system of this scientific social network was analyzed and reviewed.
Methodology: Method is applied descriptive survey with web content analysis approach. The community studied was the questions and answers provided in the Q & A system of Research Gate. Two subject areas were selected, 127 questions and 408 responses related to these two domains were analyzed and reviewed.
Findings: Findings showed that the questions raised in two domains examined in the question and answer system of the scientific network were conceptual questions and replies in both domains were often intangible, and the type of presentation are scientific vision and mental pattern. Most of the inquirers were researchers from Asian countries with less than 5 RG rank. While researchers from European countries - with an RG rank of over 10, have been posting answers and sharing their expertise.
Conclusion: Q & A systems are diverse, efficient technologies for sharing knowledge and enhancing international interactions among researchers beyond the geographical and political boundaries, which has created a place for the reproduction of scientific disciplines in the world. The results according to Castells, speak of latent power of social networks and question and answer systems in knowledge sharing and widespread knowledge boundaries that facilitate transfer of experiences, thought and knowledge of researchers and provide fertile ground for science.
Ali Biranvand, Sanaz Zareei, Maryam Golshani,
Volume 7, Issue 4 (3-2021)
Abstract
Purpose. The ultimate goal of innovative behavior is to improve performance of the individual, group, and ultimately organization all together. Many factors are influential in the realization of innovative behavior of employees of an organization. In this study, the influence of two factors of organizational climate and knowledge sharing has been reflected.
Method. The study uses an applied descriptive survey method. Population includes all official 373 employees of knowledge-based companies in Fars province (1399). Sample was189 individuals selected by simple random sampling method using Cochran's formula. Data collection was conducted by: Standard Questionnaires of Organizational Climate ( Book et al., 2005), Knowledge Sharing Questionnaire (Hoff and Reader, 2004), and Innovative Behavior Questionnaire (Johnson and Welba, 2004). Confirmatory factor analysis and structural equation modeling tests were used for data analysis.
Findings. The results show that organizational climate has a direct and positive effect on innovative behavior and knowledge sharing. Conversely, knowledge sharing also has a direct and positive effect on innovative behavior. The direct effect of organizational climate on innovative behavior is 0.52, which is strengthened by the role of knowledge sharing and increases by 0.83, which means that knowledge sharing by 0.31 has increased the organizational climate effect on innovative behavior.
Discussion and conclusion. Appropriately understanding - the type of relationship and how to influence organizational climate and knowledge sharing on the innovative performance of employees in knowledge-based companies - managers will be able to take more appropriate measures to instigate innovation in the company to increase organizational productivity, planning and management.
