University of Tehran Iranian Journal of Public Policy 2538-5577 5 1 2019 05 22 Designing a Model for Policy Making in Developing E-book Industry in Iran Designing a Model for Policy Making in Developing E-book Industry in Iran 9 32 71573 10.22059/ppolicy.2019.71573 FA Ali Akbar Farhangi Professor, Department of Governmental Management, Faculty of Management, University of Tehran, Tehran, Iran. Seyed Mahdi Sharifi assistant professor, Department of business management, Faculty of Management, University of Tehran Vajhollah Ghorbanizadeh Associate Professor, Department of Public Administration, Faculty of Management and Accounting, Allameh Tabataba'i University, Tehran, Iran. Ghasem Safaeinejad PhD Candidate, Department of Media Management, Alborz Campus, University of Tehran, Tehran. Iran Journal Article 2019 06 20 The main purpose of this paper is designing a model for policy making in developing      e-book industry. In this research, a qualitative approach based on grounded theory is applied. The statistical population of the pundits in this field includes the cultural policy makers, the experts and managers in electronic book industry and the connected fields who were interviewed via Theoretical sampling. From the twelfth interview on, a repetition in data was noticed, i.e. no new concept was identified, however, in order to achieve the necessary accuracy and certainty, sixteen people were interviewed. On the basis of findings, 508 concepts were identified, modified into 69 saturated concepts, and finally categorized into 19 subcategories in axial coding. The most important factor in a policy making model and specifically this field in Iran, is the content management system. The main purpose of this paper is designing a model for policy making in developing      e-book industry. In this research, a qualitative approach based on grounded theory is applied. The statistical population of the pundits in this field includes the cultural policy makers, the experts and managers in electronic book industry and the connected fields who were interviewed via Theoretical sampling. From the twelfth interview on, a repetition in data was noticed, i.e. no new concept was identified, however, in order to achieve the necessary accuracy and certainty, sixteen people were interviewed. On the basis of findings, 508 concepts were identified, modified into 69 saturated concepts, and finally categorized into 19 subcategories in axial coding. The most important factor in a policy making model and specifically this field in Iran, is the content management system. https://jppolicy.ut.ac.ir/article_71573_c4a72cc7fea1dafa9a8f6b7e317d3f8c.pdf