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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 research investigates the types of critical business situations worked on by multinational corporations' senior managers and the competencies they employ to achieve desired outcomes.

The research is based on a database of N = 440 critical success incidents obtained from semi-structured interviews with a sample of 143 senior managers during competency-based consulting projects over a 25-year period from 1995 to 2019. Content analysis was used to categorise critical success incidents, by similarity of business intent, into groups labelled as critical business situations. Behavioural coding was used to identify competencies.

Nine critical business situations were found, and 10 competencies identified, accounting for 79% of behaviours displayed by the senior managers. Five competencies were found to be used more universally and five were more dependent on the specific critical business situation.

This research provides an overview of the initial stage of this topic. Further empirical validation including applicability in contemporary business contexts, testing of competency relationships with critical business situation criterion-referenced outcomes, and temporal and geographic usage will be presented in an accompanying study.

Knowledge of the specific competencies and their relative frequencies when displayed in different critical business situations provide the potential to give more targeted development suggestions to senior managers facing similar situations.

This study examines concurrently, both the business situations and associated competencies of senior managers, a group for whom extant research is significantly limited.

The a priori identification and development of army personnel competencies are necessary to enable effective and efficient responses to rapidly changing climate conditions. Accordingly, this study aims to identify the performance requirements of a military flood responder and the competencies (knowledge, skills and abilities) required to perform it.

Using an abductive approach, the authors conducted both secondary and primary research to generate a validated framework of performance criteria and competencies for army personnel responding to floods. This literature review integrated both the peer-reviewed academic literature and public sector grey literature. Using the critical incident technique, the authors then conducted semi-structured interviews with 15 members of the Canadian Armed Forces (CAF) who had previously been tasked with flood response operations. Participants were asked about the tasks required while conducting flood response operations. Interview transcripts were then content analysed to identify themes regarding those tasks, and the competencies needed to perform those tasks were then extracted and contrasted with the literature review findings. Inter-rater reliability for the analysis was established via iterative discussion between the two co-authors.

The primary data reinforced and expanded the list of performance expectations that the authors deductively identified from the integrated literature review, adding granularity to each. It also identified competencies (including both hard and soft skills) and highlighted previously neglected contextual antecedents of military flood response effectiveness.

though knowledge saturation was achieved from the 15 interviews conducted, further research with larger samples could more deeply ground the evidence discovered in this study. Nevertheless, the competencies identified in this paper could serve as a starting guide to staffing and/or training interventions targeted at improving these competencies for personnel responding to flood scenarios.

The theoretical findings also have immediate practical relevance to training for flood response operations. In particular, the subtle challenges in competency crossover from military operations to flood response operations may facilitate not only more efficient, targeted training (that could improve the effectiveness of army personnel involved in humanitarian roles), but could be applied to the selection of army personnel as well. This study may also help provincial/municipal operators and emergency planners by better communicating the strengths and limitations of army personnel in addressing civilian military cooperation for humanitarian operations. Thus, the findings of this research study represent an important first step in prompting attention to the strategic human resource planning studies required to make all responders more efficient and effective in their respective division of labour within the humanitarian domain.

Peering a little beyond these research findings, human-induced climate change is expected to continue increasing the frequency of such events (IPCC, 2021), and a timely, national force is likely to be increasingly required for Canadians impacted by major disasters stemming from natural hazards when local resources become overwhelmed. Yet, there is some concern from the CAF that increasing responsiveness to disaster operations will affect their military readiness (Leuprecht and Kasurak, 2020). One can indeed envision a paradox whereby the CAF is both a “force of last resort” while increasingly becoming a “first choice for domestic disaster and emergency assistance”. The practical implications from this research also suggest that military personnel, while fully capable of successfully conducting flood response operations, may become overburdened and less able to adopt yet greater capacity and training for other additional humanitarian work. Nevertheless, the competencies highlighted by participants can help inform the next flood response operation in Canada.

Most literature in the field of emergency response focuses on cooperation between civilian and military resources and other strategic-level themes. The findings address critical granularity missing at the operational and tactical levels of humanitarian assistance and disaster relief research. The authors also draw implications beyond the military context, including for local/regional governmental players (operators and emergency planners) as well as for volunteers in flood response roles.

Artificial intelligence (AI) technologies have led to significant transformations across industries and society, including the field of education. The integration of AI in educational settings has the potential to improve students' learning experience and support their individual competencies when paired with non-AI methods. Despite the growing importance of AI in modern education, there remains a noticeable research gap regarding its use in entrepreneurship education and the effects of Chatbots on students' entrepreneurial competencies. To address this gap, an exploratory study was conducted on undergraduate students who were tasked with using ChatGPT to improve their business model canvas.

The chosen methodology aligned with the research purpose, aiming to explore the relationship between Generative AI and competencies. Due to the novel nature of the research problem, an exploratory study was conducted using a mixed methods approach. A survey with open- and closed-ended questions was designed, and statistical and text analyses were performed to interpret data and test identified propositions.

The findings of this study indicate that ChatGPT can enhance the types of students' entrepreneurial competencies considered in this study: spotting opportunities, creativity, vision, valuing ideas and ethical and sustainable thinking. The results show that ChatGPT can be particularly helpful to improve the ability of students of valuing ideas.

Overall, this study highlights the potential of adopting ChatGPT in experiential learning methodologies for enhancing students' entrepreneurial competencies and improving their learning outcomes.

This research aims to explore stakeholder perspectives on Ethiopia’s occupational competency assessment and certification systems.

The study utilized a mixed-methods strategy within a concurrent embedded design and adopted a pragmatic perspective. Data collection involved questionnaires, interviews, and focus group discussions, selecting respondents via purposive sampling for their significant experience and deep understanding of competency assessment. Analytical methods included descriptive and inferential statistics, as well as narrative techniques.

There is a generally positive perception of the value of competency assessments. However, the study finds several major limitations: inadequate candidate competency assessment, lack of skill gap analysis in TVET institutions for improved training, failure to maintain assessment standards, a high candidate-to-assessor ratio, and assessment tools that do not meet occupational standards. These issues show that the existing method misjudges TVET candidates' skills. To increase employer acceptance of competency assessments, the Center of Competence (CoC) agencies should integrate industry expertise, highlight their benefits, and emphasize the importance of training quality and career goals for candidates and trainers.

A study reveals that African nations like Ethiopia, Ghana, South Africa, Rwanda, Morocco, Benin, and Senegal have been implementing competency-based training (CBT) for around two decades, with support from countries like Canada, France, Belgium, Germany, Switzerland, Australia, Luxembourg, and Japan. However, the programs are often inconsistent and disorganized, with little private sector participation. There is a significant difference between the goals of quality assurance entities and the resources allocated. Although competency assessment is a fundamental part of CBT, there is a lack of research demonstrating its practice. Therefore, we conducted this research in Ethiopia, the second most densely populated nation in Africa. The results apply to other comparable nations implementing CBT programs (IIEP-UNESCO, 2021).

The research on stakeholders' perceptions of competency assessment is still in its early stages, with most studies focusing on training quality-related issues. This study expands on our knowledge of occupational competency assessment by analyzing perspectives from a comprehensive stakeholder perspective, considering contextualized assessment practices, addressing stakeholder needs, providing practical implications, and identifying future research directions. Furthermore, it offers valuable perspectives on developing competency-based education in Africa and other regions.

This study aims to assess the competency gap among construction industry professionals concerning the competencies required for identifying construction activities that produce recyclable materials. Accordingly, the study objectives are threefold: to identify key competencies, analyze the disparity between the level of importance and level of competence for each competency, and quantify the criticality of the competency gaps.

A systematic literature review was conducted to identify and categorize 20 competencies into knowledge, skills, and abilities. The competencies formed the basis for a questionnaire survey distributed to construction industry professionals. 120 valid responses were collected and analyzed using mean and normalized values, Wilcoxon signed-ranks test, and competency gap analysis.

The findings highlight eight key competencies: ability to prepare sustainable designs, skills in trading construction waste materials, skills in lean construction techniques, skills in designing out waste in construction activities, knowledge of diagnosing construction waste generation, knowledge of construction-related waste design, knowledge of the practice of sustainable facilities management, and knowledge on the sustainable characteristics of construction activities. Despite their importance, critical competency gaps exist among these key competencies and must be addressed.

This study equips decision-makers with insights to manage natural resources efficiently, offers practitioners a list of key competencies for sustainable project management, and provides researchers with a solid foundation for further investigations to advance sustainability in construction.

Facilities management (FM), which is crucial for the operation and sustainability of buildings and infrastructure across the world, covers a wide range of competencies that may vary across regions. Focusing on Sri Lanka and Hong Kong, this study aims to reveal and compare the importance and current competency levels of FM competencies in these regions, based on which appropriate education and training can be formulated to enhance the growth of their FM sectors.

After an extensive literature review, 12 FM competency attributes (CAs) were identified. A questionnaire survey in Sri Lanka and Hong Kong solicited the industry practitioners’ perceived importance and current levels of the CAs. The survey responses, 126 from Sri Lanka and 148 from Hong Kong, were analysed by a modified Importance-Competency Analysis matrix, followed using the Mann−Whitney U test to identify any differences in the responses between the two regions.

Between Sri Lanka and Hong Kong, significant differences were found to exist in the importance and current competency levels of over half of the CAs. Among the CAs requiring priority attention, “operation and maintenance” and “leadership” are the top two in Sri Lanka while the top two in Hong Kong are “technology” and “leadership”.

This study yielded insightful results on the importance of FM competencies and the current competency levels in a developing region and a developed region, which are useful for the development of FM education and research.

The aim of this research is twofold: first, to get more insights on digital maturity to face the emerging 4.0 augmented scenario by identifying artificial intelligence (AI) competencies for becoming hybrid employees and leaders; and second, to investigate digital maturity, training and development support and HR satisfaction with the organization as valuable predictors of AI competency enhancement.

A survey was conducted on 123 participants coming from different industries and involved in functions dealing with the ramifications of Industry 4.0 technologies. The sample has included predominately small-to-medium organizations. A quantitative analysis based on both exploratory factor analysis and multiple linear regression was used to test the research hypotheses.

Three main competency clusters emerge as facilitators of AI–human interaction, i.e. leadership, technical and cognitive. The interplay among these clusters gives rise to plastic knowledge, a kind of moldable knowledge possessed by a particular human agent, here called hybrid. Moreover, organizational digital maturity, training and development support and satisfaction with the organization were significant predictors of AI competency enhancement.

The size of the sample, the convenience sampling method and the geographical context of analysis (i.e. California) required prudence in generalizing results.

Hybrids’ plastic knowledge conceptualized and operationalized in the overall quantitative analysis allows them to fill in the knowledge gaps that an AI agent-human interplay may imply, generating alternative solutions and foreseeing possible outcomes.

This article endeavors to detail the outcomes of an exploratory investigation into the perceived attainment levels of complex thinking competencies among business students at a technological university in western Mexico. It seeks to examine and contrast the students' self-assessed development of this critical competency, along with its associated sub-competencies, throughout their academic tenure.

Our analysis focused on two distinct groups of students, one at the beginning of their academic journey and the other nearing its completion, to explore whether perceptions of competency development were equitable across genders. Utilizing multivariate descriptive statistical analysis, we were able to substantiate the existence of a gender gap in the perceived development of competencies.

While both male and female students showed improvement in their self-perceived competencies, the results indicate that women outperformed their male counterparts in the area of complex thinking and its associated sub-competencies by the conclusion of their degree programs.

The evidence suggests that there is a gender gap in the educational process for this group of students, highlighting the urgent need to minimise disparities in the perception between male and female business students about their competencies.

This article presents findings that pave the way for future research aimed at exploring strategies to narrow the gap in perceived competency achievement throughout the educational journey in business studies, considering how the environment and cultural elements can be determining factors in how students perceive their abilities and skills.

Competency-based human resource management (CBHRM) is a key component of all organisations but needs to be regularly reviewed and evaluated to ensure the quality of healthcare professionals. One common taxonomy of competency domains for health professions is from Englander et al., where this paper aims to conduct a large-scale analysis based on topic modelling to investigate the extent to which the competency framework for the healthcare sector is applied in the German job market of health professions.

The quantitative NLP analysis of a dataset consisting of 3,362 online job advertisements of nurses and doctors was scraped from a German job portal. The data was pre-processed according to Miner et al. For the analysis, the authors applied unsupervised (e.g. HDP, LDA) and supervised (BERTopic) methods and content analysis. Based on the extracted topics a word list was created and these words were coded to existing dimensions of the competency framework of Englander et al. or new dimensions were created.

Comparing methodologies, HDP (unsupervised) and BERTopic (supervised) were the best performing while the BERTopic algorithm outperforms HDP. For the doctor dataset 46% of one main dimension was identified but with an overall coverage of 69%, for the care dataset is weaker with 30.8% but an overall coverage of 100%. Additionally, the taxonomy was enhanced with supplementary competencies of “personality/characteristics” and “leadership” as well as two facets of job description which are “place of work” and “job conditions”.

On the one hand selected dimensions of the taxonomy could be clearly identified but on the other hand, there is a documented gap between the taxonomy and the competencies advertised. One cause may lie in the NLP algorithms but applicants may also have the same difficulties when reading the OJAs. Thus, practitioners should carefully review OJAs regarding better separating explicit competencies they are searching for. For the scientific development of new competency frameworks, our data-driven approach exemplified an extension of a given taxonomy.