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Showing 4 results for Integrity
Moral intelligence status of the faculty members and staff of the Shahid Sadoughi University of Medical Sciences of Yazd
Mohammad Amin Bahrami, Maryam Asami, Azadeh Fatehpanah, Arefeh Dehghani Tafti, Gholamreza Ahmadi Tehrani,
Volume 5, Issue 6 (12-2012)
Abstract
Moral intelligence is the capacity of understanding right from wrong, choosing what's right and then behaving morally. This research was aimed to determine the moral intelligence status of the faculty and staff of the Shahid Sadoughi University of Medical Sciences.This descriptive/analytical research was done through cross-sectional method in 2011. Research population was comprised of the faculty and staff of public health and paramedical schools of Shahid Sadoughi University of Medical Sciences. Sample size was 100 people who were obtained by using stratified-random sampling method. Required data was gathered by a Lennick and Kiel valid questionnaire. Data analysis was done through the SPSS16 software.Research findings indicated that both faculty and staff have "very good" status in integrity, forgiveness and responsibility. Also, faculty members and staff have "very good" and "good" status in compassion respectively. The status of moral intelligence in faculty members and staff is "very good". There is a statistical meaningful relationship between age and moral intelligence status (P=0.04) but there is no relationship between other demographic variables and emotional intelligence.Moral intelligence status of faculty and staff can help the university to conduct its role in moral development of students effectively.
Reported causal factors for research misconducts in Iranian research
Amirhossein Mardani, Maryam Nakhoda, Ehsan Shamsi Goshki, Alireza Noruzi,
Volume 10, Issue 0 (3-2017)
Abstract
Substantial concerns about the research integrity in Iran have caused research misconducts to be issue for studies. But adequate recognition about causal factors is a necessary part of clear and explicit policy in order to manage the research misconducts and supply the research integrity. This study attempted investigating the available evidence on the reported research misconducts in the Iranian research and its causal factors. Therefore, 30 studies on the Iranian research misconducts were studied. The detected factors to research misconducts based on the reported evidence included: 1. Structural factors such as publication pressure, scientific promotion policies, research funding and job preservation; 2. Organizational factors such as research environment, regulatory-control activities on research and teaching research activities; 3. Personal factors such as research skills, degree orientation, financial benefits, understanding and moral judgment. The analytical model of causal factors was designed. Therewith, cultural and situational factors have received less attention in the literature and they have major focus on the obvious types of research misconduct (data fabrication, Falsification and Plagiarism), especially plagiarism.

Ethical Challenges of Artificial Intelligence in Academic Writing and Dissemination
Amirmohammad Azarakhsh, Mohammadreza Dinmohammadi, Kian Nouroozi Tabrizi, Kowsar Nouri,
Volume 17, Issue 0 (12-2024)
Abstract
In recent years, artificial intelligence (AI) has significantly impacted the publication of research articles, transforming the landscape of academic writing and dissemination. However, the integration of AI in this process presents significant ethical challenges that require careful consideration. This review study utilized a comprehensive search strategy, employing keywords such as "artificial intelligence," "publication ethics," "ethical challenges," "academic integrity," and "research dissemination" to identify relevant articles in scientific databases including PubMed, Scopus, CINAHL, and Google Scholar. The search included articles published between 2010 and 2024 in both English and Persian. Research articles, systematic reviews, and case reports that included the specified keywords in their titles and abstracts were selected. A total of 150 articles were screened, and 50 relevant studies were included for detailed analysis. The analysis identified several ethical challenges associated with the use of AI in academic publishing. Concerns regarding academic integrity are paramount, as AI-generated content can blur the lines between original research and automated writing, raising concerns about authorship and plagiarism. Furthermore, the reliance on AI tools for data analysis and manuscript preparation can raise questions about the accuracy and validity of research findings. additionally, the potential for bias embedded within AI algorithms is a significant concern, as it can influence the selection of research topics, the framing of research questions, and even the peer review process. The lack of transparency in AI-driven editorial processes can further undermine trust in academic publishing. This review underscores the urgent need for robust ethical frameworks and regulations to guide the responsible use of AI in academic publishing. Increased awareness and training among researchers and editors regarding the ethical implications of AI are crucial. Interdisciplinary collaborations are essential to address these challenges effectively and ensure the integrity and trustworthiness of academic research in the AI era.
 

Study of Research Misconduct Using an Analytical Approach to the Research System of Medical Sciences
Amirhossein Mardani, Maryam Nakhoda, Ehsan Shamsi Gooshki,
Volume 17, Issue 1 (3-2024)
Abstract
 Since research misconduct can be considered as an adaptive reaction against the limitations, pressures, and demands arising from inappropriate functions of the research system, to manage it, the activities of the research system should be investigated and traced during the path of transferring research policies (macro level) to research development programs in institutions (meso level) and research implementation by researchers (micro level). By introducing the macro-meso-micro analytical framework, this study clarified the tasks, strategies, and activities formed at three levels of the research system of medical sciences in Iran; from macro policies of research (macro) to operational plans for the development of research in universities and research centers (meso) and researchers as research conductors (micro). For this purpose, three analytical levels of the research system were explained and defined according to the assumptions of this framework. By performing a qualitative content analysis of the relevant texts, those activities that could be useful at different levels to support the research integrity were identified and presented as different strategies. The results showed that the research system, based on the existing analytical framework, is not seen as a mere macro-system without regard to the interaction of its parts, but rather a system in which there is cross-sectional influence and interaction among the components. This approach can improve the focus, clarity, and capability to study research misconduct, and by using micro, meso, and macro levels, it can trace challenges in the interactive path of various activities and functions of the research system and their intertwining.

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