A Tale of Plagiarism: Do Publishers Condone Academic Misconduct?

2019 ◽  
Author(s):  
Asress Adimi Gikay
Keyword(s):  
2014 ◽  
Vol 6 (1) ◽  
pp. 128-148 ◽  
Author(s):  
Stephen K. Nkundabanyanga ◽  
Charles Omagor ◽  
Irene Nalukenge

Purpose – The purpose of this paper is to examine the effect of the fraud triangle, Machiavellianism, academic misconduct and corporate social responsibility (CSR) proclivity of students. Design/methodology/approach – The present study surveyed 471 university students. The study was cross-sectional and employed structural equation modelling in statistical modelling. Findings – The study provides evidence that perceived opportunity to cheat in examinations is the single most important factor accounting for significant variations in rationalization and academic misconduct. Similarly, low Machiavellians significantly get inclined to CSR ideals. The fraud triangle alone accounts for 36 per cent of the variations in academic misconduct, hence the error variance is 64 per cent of academic misconduct itself. This error variance increases to 78 per cent when a combination of perceived opportunity, rationalization, Machiavellianism is considered. Moreover, both Machiavellianism and academic misconduct account for 17 per cent of variations in students’ proclivity to CSR ideals. Research limitations/implications – Results imply that creating a setting that significantly increases a student's anticipated negative affect from academic misconduct, or effectively impedes rationalization ex ante, might prevent some students from academic misconduct in the first place and then they will become good African corporate citizens. Nevertheless, although the unit of analysis was students, these were from a single university – something akin to a case study. The quantitative results should therefore be interpreted with this shortcoming in mind. Originality/value – This paper contributes to the search for predictors of academic misconduct in the African setting and as a corollary, for a theory explaining academic misconduct. Those students perceiving opportunity to cheat in examinations are also able to rationalize and hence engage in academic misconduct. This rationalization is enhanced or reduced through Machiavellianism.


2021 ◽  
Vol 2 (4) ◽  
pp. 01-05
Author(s):  
Saeed Shoja Shafti

A journal club is a scholastic conference in which a group of persons discuss issued articles, providing an opportunity for a shared effort to keep up with the current writings. The emphasis of journal clubs has supposedly shifted over the years. What was once a setting in which the world's recent literature was analyzed became a setting for talking over clinical issues raised by the writings and, most recently, a setup for learning critical reading abilities to physicians or other associated authorities. Nevertheless, so far there is no generally accepted definition of journal club, even though this academic method has been around for more than a century and has evolved basically during this period. In the present paper, conceptual and applied features of journal club, especially in developing countries, is surveyed, to discuss an apparent underrating of journal club in some medical departments, which could be due to misunderstanding of new philosophies, or to talk about the necessity of modification of an academic misconduct, which could be attributable to didactic unawareness.


2015 ◽  
Vol 1 (1) ◽  
Author(s):  
Kenneth D. Royal ◽  
Regina M. Schoenfeld-Tacher ◽  
Keven Flammer

Author(s):  
Lisa Musharyanti ◽  
Gandes Retno Rahayu ◽  
Yayi Suryo Prabandari

Background: Besides knowledge and clinical skills, nursing students should have professional behavior as an essential component of competences as a side of knowledge and clinical skills. One aspect of professionalism is academic integrity. Lecturer should know about students’ perception of academic integrity and behavior, to make a good way to detect and prevent the deviant behavior. The objective of this study is to describe nursing students’ perception and behavior on academic integrity.Method: Survey was conducted in a nursing school in Yogyakarta. The subject were 230 nursing students who were taken by proportionate stratified random sampling. The data were analyzed with descriptive analysis.Results: There were many deviant or unacceptable behaviors which were not considered as an academic misconduct (by 5.2%-61.3% students). Peer students’ percentage who had done an academic misconduct with 10 of the highest percentage was 50%-82.2% and the behavior ever done by students was 28.7%-68.7%. The intention to do the behavior in the future was 3-38.7%.Conclusion: Perceptions of nursing students on academic integrity varied widely. Many of the actual behaviors were not considered as academic misconduct. Nursing students had different opinions about the behavior that violated academic integrity. Students’ perceptions about the behavior and the behavior of a peer friend were in accordance with the students’ own behavior. Therefore, there is a need for a shared perception between institutions and students about behaviors that violate academic integrity.


2021 ◽  
pp. postgradmedj-2021-140853
Author(s):  
Yu Xiao ◽  
Jia Chen ◽  
Xiao-hong Wu ◽  
Qin-ming Qiu
Keyword(s):  

Author(s):  
David Ison

This chapter provides a general background on the problem of plagiarism, how the Internet has been implicated as a negative influence on Academic Integrity (AI), empirical study data on the influences of the Internet on plagiarism, reasons why students may conduct plagiarism, and best practices in the use of plagiarism detection. Within the first section, three empirical studies are highlighted to indicate the actual occurrence of plagiarism in graduate education and the role the Internet may play in influencing AI. In the second section, a description of both how and why students conduct plagiarism is presented. Existing literature on the topic is explored to better inform stakeholders on the ‘why' component with suggestions for potential mitigating solutions. The subsequent section describes plagiarism detection software that is commonly in use across the globe including best practices on how to interpret detection results. Lastly, recommendations and calls for future research are provided.


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