In this article, we discuss ethical issues related to using and disclosing artificial intelligence (AI) tools, such as ChatGPT and other systems based on large language models (LLMs), to write or edit scholarly manuscripts. Some journals, such as Science, have banned the use of LLMs because of the ethical problems they raise concerning responsible authorship. We argue that this is not a reasonable response to the moral conundrums created by the use of LLMs because bans are unenforceable and would encourage (...) undisclosed use of LLMs. Furthermore, LLMs can be useful in writing, reviewing and editing text, and promote equity in science. Others have argued that LLMs should be mentioned in the acknowledgments since they do not meet all the authorship criteria. We argue that naming LLMs as authors or mentioning them in the acknowledgments are both inappropriate forms of recognition because LLMs do not have free will and therefore cannot be held morally or legally responsible for what they do. Tools in general, and software in particular, are usually cited in-text, followed by being mentioned in the references. We provide suggestions to improve APA Style for referencing ChatGPT to specifically indicate the contributor who used LLMs (because interactions are stored on personal user accounts), the used version and model (because the same version could use different language models and generate dissimilar responses, e.g., ChatGPT May 12 Version GPT3.5 or GPT4), and the time of usage (because LLMs evolve fast and generate dissimilar responses over time). We recommend that researchers who use LLMs: (1) disclose their use in the introduction or methods section to transparently describe details such as used prompts and note which parts of the text are affected, (2) use in-text citations and references (to recognize their used applications and improve findability and indexing), and (3) record and submit their relevant interactions with LLMs as supplementary material or appendices. (shrink)

Researchers in several academic fields have indicated an increase in academic authorship disputes and the utilization of unethical authorship practices over the past few decades. This trend has been attributed to a variety of factors such as vague authorship guidelines, power disparities between researchers, dissimilar disciplinary and/or journal practices, and a lack of guidance for emerging scholars. As a rapidly emerging academic field, sport management (and its connected sub-fields) maintains the propensity for unclear procedures due to the various departments, schools, (...) and colleges the field calls home (e.g., kinesiology, sport science, education, business), as well as the wide variety of journals that the field’s scholarship resides in. This situation is similar to many emerging or expanding fields as they navigate the university landscape of more established disciplines and fields. Utilizing a three-round Delphi survey method, the current research examined expert opinion on authorship practices in sport management scholarship. Through a combination of open-ended, response, and Likert-type questions, the expert survey attempted to identify areas of consensus and non-consensus in an effort to determine the current status of publication practices in the field, as well as ascertain areas of need for future study and improvement. (shrink)

Critical realism, a philosophical framework originally developed by Roy Bhaskar in the 1970s, represents a relatively new approach to research generally and to nursing research in particular. This article explores the ontological and epistemological tenets of critical realism and examines the application of critical realist principles to nursing research and practice through a review of the literature. It is evident that few published nursing research studies have, as of yet, utilized critical realism as their paradigm of choice. Both the strengths (...) and limitations of the presentation and use of critical realism in these studies are discussed in this article. Given the varying degrees of success of the authors in explicating critical realism as a philosophical framework, the value of critical realism to the research study, and the ways in which usage of the critical realist framework influenced development of the study and interpretation of findings, it is evident that the quality of future publications espousing the use of critical realism must continue to be strengthened significantly. (shrink)

The origins of research projects, the duties of supervisors and research workers, the subjective elements in research and the difficulties of publication are reviewed, as a guide to the complexities of executing an honest research project. It is assumed that research carried out with maximal intellectual integrity will result in real advances.

Consensus around what constitutes researcher conflicts of interest (COIs) and awareness of their influence on our research are two critical steps in ensuring the integrity of our science. In this research, data were collected from individual scholars via 2 surveys 5 years apart and from journals and associations to examine the level of social consensus and moral awareness among scholars, journals, and associations regarding researcher COIs. Although we observed increases in level of social consensus and moral awareness between 2012 and (...) 2017, results still revealed limited agreement about what relationships constitute a COI and limited awareness about the presence of and the ethical issues surrounding COIs. Although all journals and associations we examined supported COI disclosure, most did not provide researchers with detailed COI-related information, guidance, or disclosure tools. Limited social consensus and moral awareness regarding COIs is problematic because it inhibits the recognition, disclosure, and management of COIs and limits ethical decision making. We need to continue and enhance discussions about COIs and aim to create consensus and awareness where we do not have it with the goal of reducing potential scientific misconduct related to COIs. (shrink)