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We conducted the Universal Accreditation Board (UAB) practice analysis to examine perceptions of US public relations practitioners and educators regarding the essential competencies for entry-level and mid-career professionals. This is a trend analysis survey that is conducted every five years to assess changes in required competencies.

The survey was distributed via email to organizations affiliated with the UAB. Two variations of the survey were available to differentiate between practitioners and educators. The study was conducted from February through March of 2024.

We found practitioners’ expectations for others exceeded their own actual performance levels. This may be attributed to social comparison bias. We have provided recommendations for updating the Accreditation in Public Relations (APR) and certificate exams based on our findings. For example, we recommend senior professionals adopt a nurturing leadership style when mentoring young professionals. The study also revealed that educators overestimated generative artificial intelligence (AI) use in the workplace, as practitioners exhibited a slower rate of adoption of AI. The literature and theories that guided the paper were AI use, the history of accreditation in public relations and the diffusion of innovation theory.

This research paper provides insights related to the diffusion of AI competencies in the workplace. Additionally, this research adds to public relations literature by revealing the gap in expectations of senior professionals for beginning and mid-career professionals and their own job performance.

This study aims to identify the key factors that influence household pro-environmental behaviors (HPEBs) and explore the differences caused by the same influencing factors between household waste management behavior (HWM) and household energy-saving behavior (HES).

A meta-analysis was conducted on 90 articles about HPEBs published between 2009 and 2023 to find the key factors. HPEBs were further categorized into HWM and HES to investigate the difference influenced by the above factors on two behaviors. The correlation coefficient was used as the unified effect size, and the random-effect model was adopted to conduct both main effect and moderating effect tests.

The results showed that attitude, subjective norms, and perceived behavioral control all positively influenced intention and HPEBs, but their effects were stronger on intention than on HPEBs. Intention was found to be the strongest predictor of HPEBs. Subjective norms were found to have a more positive effect on HES compared to HWM, while habits had a more positive effect on HWM. Furthermore, household size was negatively correlated with HWM but positively correlated with HES.

The same variables have different influences on HWM and HES. These results can help develop targeted incentives to increase the adoption of HPEBs, ultimately reducing household energy consumption and greenhouse gas emissions and contributing to the mitigation of global warming.