Designing an Intelligence Model for Auditing Professional Ethics in Knowledge Contents Production

Journal of System Management

دوره 6، شماره 2، آذر 2020، صفحه 155-168   

نوع مقاله: Research Paper

شناسه دیجیتال (DOI): 10.30495/jsm.2020.677241

نویسندگان

Ebrahim Nazari Faorkhi¹؛ Alireza Pourebrahimi^{* 2}؛ Mohammad Nazari Farokhi¹

¹Department of Information Technology Management, Science and Research Branch, Islamic Azad university, Tehran, Iran

²Department of Industrial Management, Karaj Branch, Islamic Azad university, Karaj, Iran

چکیده

One of the main concerns of scholars is the observance of intellectual property rights in the production of knowledge content. Data and knowledge derived from the results of research need to be produced based on ethical issues in order to provide context for solving problems through innovation, scientific accuracy and relevance on the basis of ethical principles. In this research, the intelligent knowledge audit model was designed for Islamic Azad University. The present research is applied and in the first stage due to the recognition of the dimensions of the model, is exploratory, in the second phase, the comparative study of the selected models, and in the third stage is analytical. The data gathering tool were a researcher-made questionnaire and interview. In the present research, a questionnaire was distributed through a sample of 205 professors and PhD candidates in the field of information technology management. The questionnaire was analyzed using structural equation modeling, and the conformity between the independent variables and the dependent variable was presented. In the following, a comparative study of the selected models was performed and after analyzing the interviews with the experts, the final model was designed. As a result, the use of structural and semantic analysis methods in sequence can lead to the prevention of repetitive content. This is heavily needed in order to achieve a systematic ethical responsibility.

کلیدواژه‌ها

Intelligence Model؛ Audit Professional Ethics؛ Content؛ Plagiarism