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This study aims to identify causes of (un)ethical behaviour in research and how they influence adherence to research ethics.

The authors developed and tested a conceptual model that includes mediation and helps to understand the mechanism of adherence to ethical standards of research based on the “social judgment theory” (SJT). In Study 1, the authors conducted an exploratory study using the exploratory factor analysis technique to identify factors responsible for adherence to research ethics. In Study 2, the authors used SJT to provide support for establishing a relationship between key variables.

Two factors, “Proclivity to Egoism” and “Proclivity to Emotivism”, were identified based on the personal beliefs of researchers. These factors were found to play an important role in determining the tendency towards adherence to standards of research ethics (Belmont Report and COPE). SJT successfully explains the mechanism of adoption of ethical standards. Adherence to Belmont principles was seen to mediate relationship between factors identified and tendency to adhere to COPE.

Majorly, this study is unique as it establishes and guides to incorporate researchers’ point of view in formulating ethical standards and guidelines, apart, from various other important theoretical and societal implications.

The study aims to analyze the synergy of artificial intelligence (AI), with scientometrics, webometrics and bibliometrics to unlock and to emphasize the potential of the applications and benefits of AI algorithms in these fields.

By conducting a systematic literature review, our aim is to explore the potential of AI in revolutionizing the methods used to measure and analyze scholarly communication, identify emerging research trends and evaluate the impact of scientific publications. To achieve this, we implemented a comprehensive search strategy across reputable databases such as ProQuest, IEEE Explore, EBSCO, Web of Science and Scopus. Our search encompassed articles published from January 1, 2000, to September 2022, resulting in a thorough review of 61 relevant articles.

(1) Regarding scientometrics, the application of AI yields various distinct advantages, such as conducting analyses of publications, citations, research impact prediction, collaboration, research trend analysis and knowledge mapping, in a more objective and reliable framework. (2) In terms of webometrics, AI algorithms are able to enhance web crawling and data collection, web link analysis, web content analysis, social media analysis, web impact analysis and recommender systems. (3) Moreover, automation of data collection, analysis of citations, disambiguation of authors, analysis of co-authorship networks, assessment of research impact, text mining and recommender systems are considered as the potential of AI integration in the field of bibliometrics.

This study covers the particularly new benefits and potential of AI-enhanced scientometrics, webometrics and bibliometrics to highlight the significant prospects of the synergy of this integration through AI.

In response to a critical need for uniform school crisis preparedness and response efforts across districts, the National Association of School Psychologists developed PREPaRE, a model and training curriculum aimed to equip school-based professionals to engage in comprehensive school crisis prevention and intervention practices. The PREPaRE acronym stands for: Prevent/Prepare for psychological trauma; Reaffirm physical health, security, and safety; Evaluate psychological trauma; Provide interventions (and) Respond to psychological needs; and Examine the effectiveness of prevention and intervention efforts. The model spans four crisis preparedness phases: Prevention, Mitigation, Response, and Recovery. This chapter provides a detailed overview of the development and structure of the PREPaRE model's core components and the organizational framework of the Incident Command System. It delineates elements of the basic school crisis response plan, assessment of mental health risk following a crisis event, and the provision of crisis interventions within a multitiered system of support framework. Additionally, it summarizes ongoing effectiveness and implementation research used to evaluate and improve the model based on immediate training outcomes assessed through pre and postmeasures and training transfer to applied school contexts. Implications for research and public policy regarding school safety and crisis prevention and intervention, as well as the future of PREPaRE curriculum development, are discussed.