Predatory Academic Journals and Accreditation

By Dr. Vlad Krotov

Predatory journals are exploitative academic publishing platforms that charge authors high submission fees but fail to provide the legitimate services associated with reputable academic journals, such as peer review and editorial oversight. These journals often promise quick publication times and lack transparency in their operations. The term “predatory” is used because these journals prey on the need of researchers to publish their work for career advancement, academic requirement, or visibility, without actually contributing to the scholarly discourse in a meaningful way. Predatory journals pose significant challenges to the integrity and quality of academic and professional accreditation standards. In this article, we explain how to identify predatory journals and what simple strategies a business school can pursue to prevent faculty from publishing in these journals. 

Predatory academic journals come in all shapes and sizes and are not unique to a particular field. However, there are few things that predatory academic journals share in common. Typical characteristics of predatory journals include:

    • Lack of Peer Review: They often claim to conduct peer review but either do not do it or do it superficially, failing to uphold standards of academic rigor.
    • Misleading Metrics: They may claim high impact factors and indexing in reputable databases without actual inclusion or by using misleading metrics.
    • Aggressive Marketing: They frequently use spam emails to solicit manuscripts from researchers.
    • Unclear Editorial Policies: They have vague or nonexistent editorial policies and practices, making it difficult to understand their review processes or criteria for publication.
    • Dubious Practices: They may list scholars as editorial board members without their permission or knowledge, and often have fake or non-existent contact addresses.
    • Rapid Publication: They promise rapid publication, which appeals to researchers under pressure to publish but undermines the integrity of the review process.
    • High Article Processing Charges (APCs): They charge authors high fees for publishing, often without providing the expected publication services

Predatory journals pose significant challenges to the integrity and quality of academic and professional accreditation standards. Accreditation bodies evaluate academic programs, institutions, and professionals based on various criteria, including research output, publication quality, and contributions to the field. The issues with predatory journals impact these evaluations in several ways:

    • Dilution of Scholarly Quality: Accreditation relies on the quality of scholarly work produced by an institution or individual. Publications in predatory journals, which lack rigorous peer review, can dilute the overall quality of an institution’s or individual’s scholarly output. This makes it difficult for accreditation bodies to assess the true academic contribution and quality of research.
    • Misrepresentation of Academic Productivity: Predatory journals can inflate an individual’s or institution’s publication record, misleading accreditation bodies about the actual academic productivity and impact. This misrepresentation can lead to unwarranted accreditation status or recognition, undermining the credibility of the accreditation process.
    • Erosion of Trust: The involvement of faculty, researchers, or institutions with predatory journals can erode trust in their credibility and integrity. For accreditation bodies, associating with entities that lack discernment in publication venues can question their standards and the value of the accreditation they provide.
    • Resource Misallocation: Resources spent on publishing in predatory journals are resources wasted, as they do not contribute to the advancement of knowledge or the academic’s reputation in a meaningful way. This misallocation can affect the overall quality of education and research that accreditation bodies seek to ensure.
    • Compromised Evaluation Metrics: Accreditation often uses publication records as a metric for evaluating the quality and impact of academic work. Predatory journals, through their lack of quality control and dubious metrics, compromise these evaluation metrics, making it harder for accreditation bodies to rely on publication records as a measure of quality.
    • Difficulty in Distinguishing Legitimate Work: The prevalence of predatory journals makes it increasingly difficult for accreditation bodies to distinguish between legitimate and non-legitimate work. This requires them to invest additional resources in vetting publications, which can be both time-consuming and

Researchers are advised to carefully evaluate the credibility of journals before submitting their work, using tools and checklists such as the ABDC List, Directory of Open Access Journals (DOAJ), Think. Check. Submit., and Beall’s List (though it’s no longer updated, it served as a significant resource for identifying potential predatory publishers). 

Moreover, a business school may decide to develop policies that give faculty members credit only for publications that are in journals listed in well-accepted lists, such as ABDC or Cabells. Additional quality criteria may also be applied to these publications. 

Policy for Ethical Use of Conversational Generative AI Chatbots in Student Assignments

1. Introduction:

This policy serves as a framework for the ethical use of Conversational Generative AI Chatbots (GAI Chatbots) by students in their assignments. It aims to strike a balance between harnessing the potential of these tools for learning and research while upholding academic integrity and ethical conduct. Students are encouraged to embrace the educational value of GAI Chatbots while respecting the principles outlined in this policy.

2. Purpose:

The purpose of this policy is to ensure that students employ GAI Chatbots in a responsible and ethical manner that does not impede their academic progress and fosters the development of critical thinking and problem-solving skills.

3. Responsible Use:

Students using GAI Chatbots should adhere to the following principles of responsible use:

a. Academic Honesty: Students are expected to uphold academic integrity and honesty in their assignments. The use of GAI Chatbots should not involve plagiarism or submitting work as their own if it is primarily generated by the chatbot.

b. Proper Attribution: If students utilize GAI Chatbots to generate content, they should appropriately attribute the assistance provided by the chatbot and make it clear that the content is generated with the help of AI.

c. Independent Learning: GAI Chatbots can serve as educational aids, but students should not overly rely on them to complete assignments. The primary goal is for students to develop their own skills and understanding.

4. Privacy and Data Security:

Students should ensure that they do not share personal or sensitive information while interacting with GAI Chatbots. They should also be cautious when using chatbots that require data input, making sure they comply with privacy regulations and institution-specific policies.

5. Contextual Applicability:

Students should evaluate the context in which they use GAI Chatbots. These tools may be more suitable for certain assignments and less so for others. Students should assess whether using a GAI Chatbot aligns with the learning objectives of their assignment.

6. Critical Thinking and Review:

Students should critically review and assess the output generated by GAI Chatbots. They are encouraged to verify and refine the content provided by the chatbot to ensure its accuracy and relevance to the assignment.

7. Collaboration and Peer Review:

Students are encouraged to collaborate with peers and instructors to review and discuss the content generated by GAI Chatbots. Peer review and discussion can help improve the quality of work and reinforce ethical practices.

8. Compliance with Academic Institution Policies:

Students must adhere to the academic policies and guidelines of their respective institution regarding the use of AI tools in assignments and should be responsible for utilizing the GAI Chatbot according to these policies. This includes understanding any specific rules or expectations related to GAI Chatbot use provided by instructors for specific courses and assignments. This policy should not override any of the GAI-related rules and instructions set forth by institutions, colleges, departments, specific programs, or individual instructors. 

9. Reporting Ethical Concerns:

If students encounter ethical concerns related to the use of GAI Chatbots, they should report these concerns to their instructors or academic institutions for appropriate guidance and resolution.

10. Accountability and Consequences:

Students are accountable for their adherence to this policy. Violations of these ethical guidelines may lead to academic penalties, including failing grades or disciplinary actions.

11. Review and Updates:

This policy should be reviewed periodically to ensure its relevance and compliance with evolving educational standards and technological advancements.

This policy was generated with the help of ChatGPT and can be used and distributed freely under the CC BY license.