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The current gap between the required and available artificial intelligence (AI) professionals poses significant challenges for organisations and academia. Organisations are challenged to identify and secure the appropriate AI competencies. Simultaneously, academia is challenged to design, offer and quickly scale academic programmes in line with industry needs and train new generations of AI professionals. Therefore, identifying and structuring AI competencies is necessary to effectively overcome the AI competence shortage.

A probabilistic topic model was applied to explore the AI competence categories empirically. The authors analysed 1159 AI-related online job ads published on LinkedIn.

The authors identified five predominant competence categories: (1) Data Science, (2) AI Software Development, (3) AI Product Development and Management, (4) AI Client Servicing, and (5) AI Research. These five competence categories were summarised under the developed AI competence framework.

The AI competence framework contributes to clarifying and structuring the diverse AI landscape. These findings have the potential to aid various stakeholders involved in the process of training, recruiting and selecting AI professionals. They may guide organisations in constructing a complementary portfolio of AI competencies by helping users match the right competence requirements with an organisation's needs and business objectives. Similarly, they can support academia in designing academic programmes aligned with industry needs. Furthermore, while focusing on AI, this study contributes to the research stream of information technology (IT) competencies.

The present study investigates the predicting role of institutional leadership competencies (namely, achieving goals and outcomes, leadership and leading change, and integrity and justice) in influencing job performance. It also seeks to examine whether proactive personality moderates the purported relationship.

Data were collected from 103 institutional leaders in various higher education institutions in Malaysia. Partial least squares structural equation modeling (PLS-SEM) technique via Smart PLS 2.0 was used to analyze the data and test the hypotheses.

The findings indicate that competencies of leadership and leading change and integrity and justice significantly and positively influenced job performance. Proactive personality was found to significantly moderate the relationship between leadership and leading change dimension and job performance.

This study contributes to the literature by assessing leadership competencies as the predictors of job performance. The moderating role of proactive personality is also substantiated in the leadership and leading change dimension and job performance linkage.

The significant and positive impact of leadership and leading change as well as integrity and justice on job performance suggests the importance of these leadership competencies in promoting high level of job performance among institutional leaders. Furthermore, in ensuring high job performance among institutional leaders, proactive personality is a crucial attribute that is worth to be given attention by higher education institution (HEI) administrators.

This study aims to provide additional empirical evidence in the leadership competencies domain. The research framework of this study managed to substantiate empirical evidence in partial support on the importance of leadership competencies and proactive personality in predicting job performance.

International development policy proposes that reducing poverty depends on alignment of international aid projects with local priorities, which would imply a role for local as well as expatriate job experts in job selection processes. This paper aims to explore whether person‐job “fit” with both local and expatriate job specification relates to work performance indicators.

Mission organizations and their individual workers play an influential role in poverty reduction projects. In Study I, N=70 host nation missionaries, i.e. local job experts (n=22), expatriate mission leaders (n=25) and expatriate mission workers (n=23) provided mean panel ratings of the importance of SHL's Universal Competencies, alongside religious values, for mission jobs. In Study II, N=130 individual expatriate mission workers also provided ratings of the same set of competencies for mission jobs and rated themselves on these competencies. Each individual worker's profile was assessed for “fit” with competencies identified by the panels in Study I. Individuals were also measured on the criteria of job satisfaction, work engagement and satisfaction with life.

From Study I, we learned that local and expatriate ratings differed significantly, indicating different job criteria, as policy suggests. In Study II, degree of fit with local and expatriate priorities each predicted significant amounts of variance in job satisfaction, engagement and life satisfaction. Hence at an everyday behavioural level, alignment with local job experts' perspectives on required competencies played a role in aid worker motivation.

Whilst recognising the limits of self‐report, this paper applies fit theory to poverty reduction projects. Discussed are the findings' relevance for psychological theory, methods and interventions in poverty reduction work.

The purpose of this paper is to examine the competencies that US healthcare organizations require for quality and performance improvement positions.

A US healthcare improvement job posting content analysis was conducted using the HQ Essentials competency framework.

The HQ essentials competencies most desired for improvement positions include project management, training, data analysis and applied performance improvement methods. Competency requirements varied somewhat by job focus area: performance, quality, or process improvement, and Lean and Six Sigma.

Healthcare leaders may use the author’s results to understand what competencies may be required for various improvement roles and to identify any gaps in required skills and knowledge areas that may need to be addressed. Educators and policy-makers should consider how these competencies align with employers’ needs and what resources or professional development may be needed to address gaps.

This is the first healthcare improvement competencies analysis based on job postings.

This study aims to explore the competencies needed by performance consultants, a particular role identified for training and development professionals. The role was formally named and promoted nearly two decades ago. Two ongoing discussions in the field are the competencies needed by training and development professionals and the role of consulting within the field.

This study identifies the general competencies needed by a performance consultant as reflected in job descriptions for the position. It accomplished this goal by collecting job descriptions for the position from organizations in Canada (the result of a practical arrangement with an organization that would collect the descriptions and remove identifying information before the research team analyzed them), systematically analyzing them using qualitative content analysis techniques and generating a profile of the position, which can be used as a basis for further analysis of the position.

The job title and competencies sought in the job descriptions differ from those proposed in the literature. Specific areas of difference include the title (none of the job descriptions analyzed explicitly used the title performance consultant), role in needs analysis and client relationships, technology competence (the job descriptions sought little, if any, while the literature suggests broad conceptual knowledge) and qualifications (most job descriptions only require a bachelor’s degree; many training and development professionals have more education).

The profile presented in this paper only represents that used in job descriptions (typically an idealized version) and in a particular national context. But if the results are validated with other methodologies and in other contexts, they suggest that the actual consulting role significantly differs from the one conceptualized in the literature.

The findings suggest that the consultant role conceived in the literature differs from the actual job expected by employers, at least as reflected in job descriptions. Research with incumbents in the job is needed to assess whether the inconsistencies are also reflected in the day-to-day work.

Social implications validate the broad concern that trainers have skills and talents to offer organizations that those organizations do not fully utilize.

The paper provides one of the few empirical studies of the job responsibilities of a performance consultant.

Organizational effectiveness today depends largely on the ability to activate, share and transform the intellectual capital of the company into sustainable and difficult‐to‐imitate competitive advantage. This paper seeks to develop a competency typology that integrates previous definitions and frameworks from the literature and to propose a methodology for identifying competencies to aid the transition from a task‐based to a competency‐based logic for human resource management.

The paper is based on a longitudinal research project. The paper outlines a methodology and presents the findings from the implementation of a competency model in two case companies. It illustrates how the systematic use of the identified competency categories can support the identification and coding of competencies, which will facilitate the critical organizational transformation from a task‐based to a competency‐based approach.

The experience from the deployment offers potential challenges of implementing this framework in a specific cultural context. It identifies critical enablers that will contribute to successful implementation, whilst also providing insights concerning predicaments that have to be met.

The particular competency typology integrates previous definitions and frameworks from the literature, thus providing a holistic solution for supporting the implementation of a competency‐based approach. Furthermore, through the analysis of the implementation of the competency framework in two case companies it serves as the basis for illustrating the main steps, as well as the critical success factors that characterize such projects. Finally, it demonstrates the advantages of integrating the proposed competency framework and offers managerial insights and guidelines for similar implementations.

Requirements for business improvement professionals depend on different job characteristics. By focussing on lean management, the purpose of this paper is twofold: first, to provide a comprehensive conceptualisation of competencies relevant for lean professionals by comparing them to an existing project management competency framework; and second, to identify their similarities and differences in three different analysed countries.

This paper investigates 2,701 online published job advertisements in the USA, UK and Germany by means of a content analysis to compare and contrast the respective job profiles.

Main findings are similarities and differences in the specification and perception of lean professional’s roles among the three countries. Strikingly, four out of eight considered competency categories comprise 74 per cent of the profiles’ most relevant keywords. Additionally, with the help of a latent semantic analysis, 16 specific competencies can be summarised in a lean professional’s competency taxonomy.

The collected data only represent a snapshot of lean professionals’ advertisements. Also, text mining results from job profiles could largely differ from other techniques like recruiter interviews or company surveys. Further research could use different methods or combine them to construct a more complete model.

Lean education and training as well as the respective candidate selection processes can benefit from these studies’ results.

Requirements and job contents for lean professionals have not been empirically researched on a comparable in-depth level before, even though their expertise is in high demand in any kind of business sector.

This study aims to enhance the understanding of competency requirements of supply chain planners and analysts (SCP&As) and identify different personal preferences of hiring managers toward job candidates’ competency profiles.

A total of 243 supply chain managers with hiring experience participated in an adaptive choice-based conjoint experiment to uncover the relative importance of six competency attributes, namely, analytical and problem-solving ability, interpersonal skills, general management skills, computer/IT skills, supply chain management (SCM) knowledge and industry experience.

SCM knowledge and analytical and problem-solving ability were identified as the most important competencies and were considered three times more important than general management skills. Based on convergent cluster and ensemble analysis, two types of hiring managers were identified. The first group is characterized by a pronounced preference for job candidates with extensive SCM knowledge. In contrast, the second group’s members prefer candidates with a more balanced competency profile.

The authors’ findings help companies to facilitate a better person–job fit, a key determinant of employee performance and job satisfaction.

This paper employs human resources (HR) analytics to investigate the pathways through which high-potential managers ascend to C-suite positions, and how different developmental paths influence turnover among executives.

By combining job analysis and competency assessment with sequence analysis, the authors utilize HR analytics to analyze the work experiences of 53 general managers spanning 57 years (n = 2,742), encompassing various roles, job requirements, and 20 executive competencies attached to over 1,000 positions.

This study's findings reveal three distinct developmental paths that lead to the C-suite, characterized by differences in the content, context, timing, and complexity of work experience. Furthermore, the authors identify that a more complex developmental path tends to reinforce executives' competency in self-awareness while inhibiting their development of technical competency, ultimately resulting in reduced executive turnover.

By employing HR analytics to analyze empirical data embedded in job and organizational contexts, this study sheds light on the critical role of timing and complexity of work experiences in executive development. It also offers practical implications for firms seeking to optimize their leadership pipeline and reduce executive turnover by leveraging HR analytics effectively.