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Competencies are significant predictors of employee outcome. Nowadays, new technologies are changing maintenance processes and workflow. The role of employees and their competencies will therefore undergo decisive changes in the future. Therefore, a well-designed competency model for maintenance departments is important. The purpose of this paper is to develop a maintenance 4.0 competency model applicable to all industrial sectors by adapting it to the specificities of each sector.

The research methods consist of a comprehensive literature review on the main characteristics of the competency model and the individual competencies needed for the maintenance 4.0 employees. Interviews were conducted in order to validate and prioritize the required competencies for maintenance 4.0 employees identified in the literature.

The maintenance 4.0 competency model combines the required competencies in maintenance 4.0 and crosses the three hierarchical levels: managers, engineers and technicians. These competencies are organized in terms of four categories: technical, personal, social and methodological. In addition, a degree of importance for each competency is assigned as very important, moderately important and slightly important. As a result, this study identified the essential competencies for maintenance 4.0 stakeholders, where 12 competencies are considered very important for maintenance 4.0 technicians, 19 for engineers and 18 for managers.

This work has some limitations. First, although the articles related to competencies and their classification were selected very carefully, it is difficult to eliminate the probability of overlooking publications. Second, the limitation of the study is based on the difficulty of implementing the model in a case study, given that a minority of industrial companies have implemented maintenance 4.0 technologies in Morocco.

This work has practical implications for both individuals and institutions (companies and academies) to cope with new competency requirements in maintenance 4.0. Organizations can use the model in the recruitment process and for the identification of training needs. The results of the research will also contribute to identifying the scope of competencies of the maintenance 4.0 actors (engineer, manager and technician), which, in practice, contributes to the creation of requirements for the candidates applying for a job in the maintenance department. Additionally, educational institutions should make the necessary changes to their curricula to suitably prepare students for the required maintenance 4.0 competencies.

The social implications of the article result from the contribution to the development of maintenance competencies. Individuals can use this model for their own personal development. Furthermore, companies can use this model to define job profiles for vacancies in M4.0. Therefore, using the model for training program implementation has a positive effect on employee job satisfaction and employees ’morale.

This research develops a novel maintenance 4.0 competency model by categorizing the maintenance workforce into three hierarchical levels: managers, engineers and technicians. In addition, the competency requirement is prioritized to three degrees: very important, moderately important and slightly important. According to the previous studies conducted on maintenance 4.0 and employees' competencies, this study revealed that no research has developed a competency model for maintenance 4.0. Hence, this model is unique, generic and integrative since it presents the most relevant competencies for the three hierarchical levels. Moreover, this work combines the results of the literature review and the experts' returns. This model can be useful in the recruitment of new maintenance employees, the evaluation of their performance and the identification of training needs to cope with new changes in maintenance competencies.

The purpose of this study is to determine the competency characteristics required for the employment of master’s degree students in educational technology.

A combined qualitative and quantitative method was used to consult multiple experts through a modified Delphi method. Competency characteristics were extracted from Chinese recruitment apps, national recruitment websites and university training programs. Ten senior teacher experts who teach educational technology master’s students were consulted through a questionnaire consultation to validate the proposed competency model. The weights of competency characteristics were determined through a combination of the analytic hierarchy process and entropy method.

The results show that when recruiting educational technology master’s students, more emphasis is placed on operational skills. The majority of companies tend to assess practical abilities rather than theoretical knowledge. Relevant knowledge of educational technology, psychology, computer science and education is considered to be the basic knowledge components of educational technology master’s students, while professional skills are the core skills required for their positions. Therefore, universities need to focus on training, educational technology graduate students in these areas of competence. The study also found that professional qualities (such as physical and mental fitness) and personality traits (interpersonal communication and interaction) receive more attention from companies and are essential competencies for educational technology master’s students.

A competence model for educational technology master’s students is proposed, which includes aspects such as knowledge, personal skills/abilities, professional qualities and personality traits. The competence elements included in this model can serve as reference indicators for universities to cultivate the competence of educational technology master’s students, as well as reference points for recruiting units to help them select talents. This represents a new dimension in research related to the employment of educational technology master’s students. The study enriches the research objects and competence dictionary in the field of competence research.

This paper aims to determine the hierarchical relationship between building partnership competencies for public sector educational leaders (ELs) administering and running the education system.

An interpretive structural modelling (ISM) technique was used to develop a hierarchical structural model for building partnership competencies. Nominal group technique (NGT) was used with the help of experts’ suggestions and opinions at the beginning of ISM to identify building partnership competencies. Also, the NGT was used to rank the competencies. A structural self-integration matrix was developed based on experts’ voting and agreement. Cross-impact matrix multiplication applied to classification (MICMAC) analysis was used to analyse the relationship among the building partnership competencies. A total of 11 experts were chosen for NGT and ISM sessions.

A total of 16 building partnership competencies were identified for this study. The competencies were compartmentalised into four domains: creative collaboration, create network, develop collective culture and encouraging constructive dialogue. MICMAC analysis shows each domain of the model of its key competencies ranked at the highest level in the ISM model and dependent competencies.

ISM is a modelling approach that is based solely on expert opinions and responses. Its limitation can be overcome with the help of empirical analysis.

This study supports the public sector ELs’ professional development and upskilling. In addition, the model developed in the study will be helpful for stakeholders, human resources division and policymakers to incorporate building partnership competencies in the training and development of ELs.

This study helps to identify and prioritise building partnership competencies using NGT and ISM. Literature shows that numerous authors have used the ISM approach. Still, the combination of NGT approach is limited. Therefore, the model developed in the study was based solely on experts’ opinions and suggestion based on their experiences and knowledge.

Although the majority of Ethiopians continue the on-farm and off-farm work, the country still struggles to secure food for its citizens and farmer welfare is very low. To increase farmers' welfare, improving farmers' entrepreneurial competency is believed to be the solution. However, entrepreneurial competencies are diversified, and investigating the most important dimensions specific to the agricultural sector is important. As a result, the objective of this research is to look into important entrepreneurial competencies that could help farmers.

To achieve the objective, survey data, collected from 178 households in North Shoa, Amhara National Regional State, Ethiopia is analyzed through structural equation modeling (SEM).

The study revealed that of the six entrepreneurs' competencies considered, only two of them (Strategic competency and relationship competency) have a significant association with the welfare of farmers. Moreover, the study revealed that the moderating effect of agricultural extension (taking model and non-model farmers as a group) on the relationship between entrepreneurial competency and farmers' welfare is not significant.

This study focuses only on six entrepreneurial competencies from which two of them are found significant factors in farmers' welfare. Thus, future research could broaden the scope in terms of looking into additional variables.

The study investigated the moderating effect of the farmers' category as a model and non-model on the relationship between entrepreneurial competency and farmers' welfare, which is the first to discuss the moderation effect.

Discovering opportunities is a key entrepreneurship competence for those who want to start their own business and who choose to enter the workforce. In this study, the authors focus on the antecedents of the ability to discover entrepreneurial opportunities by uncovering how and when students' personal initiative (Frese and Fay, 2001) leads to an increase in this key competency. The purpose of this study was to examine the role of risk-taking and creativity in the interplay between personal initiative and opportunity discovery competencies among university students.

Data were collected with a self-assessment tool in two moments in time, using a sample of 103 university students from Portugal enrolled in an entrepreneurship course. The authors measured personal initiative and entrepreneurial risk-taking at the beginning of the entrepreneurship course (Time 1). Two months later (Time 2), by the end of an entrepreneurship course, the authors measured creativity and opportunity discovery abilities.

The results of this study showed that risk-taking mediates the effect of personal initiative on opportunity discovery and that creativity interacts with risk-taking and opportunity discovery. Specifically, the authors found that the relationship between entrepreneurial risk-taking and opportunity discovery is positive and statistically significant when students display average or above-average creativity. The indirect effect of the personal initiative on opportunity discovery through entrepreneurial risk-taking seems to increase when the student's creativity increases, as the index of moderated mediation is positive.

As with all studies, there are limitations to work of this study. First, data of this study is restricted to a sample of students from Portugal. As such, the authors should be careful about generalizations concerning students from other cultural settings; entrepreneurship competencies can differ across countries. Second, the findings of the present study are based on students’ self-reports regarding their own entrepreneurship competencies.

This work can inspire entrepreneurship educators to look at the entrepreneurship competencies models holistically and inspire future work to explore the relationship patterns between entrepreneurial competencies.

This paper analyses teachers' perceptions of how teaching-learning approaches affect the development of higher education (HE) graduates' learning outcomes based on competencies development. The authors focus the analysis on Belarus, a post-Soviet country which transitioned from a centrally planned to a market economy and needs reforms to the HE sector there. In particular, Belarus requires HE graduates equipped with competencies that match the needs of a market economy.

The authors use Fostering Competencies Development in Belarusian Higher Education (FOSTERC) data to study how teachers contribute to the development of HE graduates' competencies, employing factor analysis to categorize 24 competencies and group the graduates into two groups: entrepreneurial or transversal. The authors also consider variables such as teachers' educational background and experience, predominant teaching field of study and university location – using regional dummies.

The results point to a lack of attention to entrepreneurial and transversal competencies and suggest a disconnect between HE and society needs in Belarus.

Although Belarus has introduced some changes to the HE system following the adoption of the Bologna process, Belarus, especially Belarus' national HE system are still influenced by the country's Soviet past, where universities prepare the students for participation on one job and one career, instead of offering more attractive and constructive curricula that would allow future graduates to operate in a changing world.

In a dynamic and complex environment, employees’ creative performance (CP) can be essential in developing a distinguished and competitive strategy for an organization. Using the lens of competency management, this study aims to examine how employees perceived environmental uncertainty (PEU) and competency formula relate to employee CP, with a focus on the hospitality industry.

The data was collected from employees in the hospitality sector. Both symmetrical (PLS-SEM) and asymmetrical (fuzzy-set qualitative comparative analysis [fsQCA]) tests were performed to gain in-depth knowledge of how individual, organizational and environmental factors can be configured to explain employees’ CP.

The symmetrical analysis shows that the competency formula mediates the negative impacts of PEU on two dimensions of creativity – that is, novelty and utility. The fsQCA testing generated contrasting findings and revealed that uncertainty, along with the formula elements, is a unique antecedent condition and opportunity for employees’ CP. The inconsistent findings indicate asymmetrical and complex relationships between the proposed antecedents and outcomes in the case of employee creativity.

A combination of symmetrical and asymmetrical approaches is necessary to uncover the complex relationships among employees, organizations and the environment. This study shows that organizational agility, competency strategies and comprehensive strategic management processes can be configured to explain positive outcomes for organizations during uncertain circumstances. The findings can be used by human resource practitioners to maximize employee creativity and enhance organizational performance.

To the best of the authors’ knowledge, this study is the first to use symmetrical and asymmetrical testing to address the inadequacy of explaining employee CP in complex and uncertain environments, and highlight the crucial role of the competency formula in enhancing novelty and utility dimensions of CP. This research examines the impact of various internal and external factors (i.e. individual, organizational and contextual) on employee creativity within the hospitality industry.

The purpose of this paper is to identify how different factors of antecedents and processes affect the outcomes of an internship, measured in terms of competency development.

The authors used an internship questionnaire designed for the University of Tartu in Estonia. Responses were obtained from 178 students across different disciplines – humanities and the arts, social sciences, natural sciences and medicine – who had recently taken an internship. Based on current academic literature, the authors create a three-level model: antecedents-processes-outcomes. The antecedents and processes were both differentiated into three factors and tested with a structural equation model.

The model demonstrates that there are different antecedents that have an effect on internship outcomes, but these only work through internship processes. For example, the objective of the internship and clarity of instructions will only have a positive effect if there is relevant support from the supervisor at the employing company and if the student can use the knowledge and skills gained at university.

The study is based on survey data filled in by students, i.e. based on self-perception. Based on the results of the study, the authors claim that an active role and initiative-taking by students in finding suitable internships should be further encouraged.

Whilst previous studies have used a two-level model of internship (or a three-level model for students satisfaction as an outcome) the authors create and test a three-level model measuring competency development as the outcome of an internship.

Recognizing, tracking and providing mechanisms for sharing an individual's comprehensive record of learning is necessary and essential for both her agency over and ability to manage sharing her qualifications with parties whom she desires to be aware of her learning record. In doing so, she may capture and present degrees, certifications, microcredentials or badges representing varying levels of knowledge, skill and abilities (KSAs) achieved in both formal and informal educational experiences. This paper aims to discuss the aforementioned ideas.

In the USA, competency frameworks are gaining more solid footing with both higher education institutions and employers as both move to address the changing landscape of education-to-work preparation and the relationships that exist between them. The need to support lifelong learning and the various pathways that individuals traverse in and out of educational pursuits and the workforce require a more personalized approach.

This paper will discuss the drivers of the newfound traction of competency frameworks among higher education and employers within the USA, present examples of the frameworks and how they are being applied to address the common interests of educators, employers and the learner/earners, and explain the role badges and microcredentials play in capturing and recognizing the broad spectrum of learning, skills and competencies achieved by an individual throughout the lifelong learning journey.

The digital badging taxonomy and concept of using badges as a representation of a unit of competency, both introduced in this paper, provide a unique strategy for contextualizing the relationship between levels of cognitive domain recognized in academic settings and the language of KSAs used by employers.

Our proposed machine learning model contributes to improving the quality of Hire by providing a more nuanced and comprehensive analysis of candidate attributes. Instead of focusing solely on obvious factors, such as qualifications and experience, our model also considers various dimensions of fit, including person-job fit and person-organization fit. By integrating these dimensions of fit into the model, we can better predict a candidate’s potential contribution to the organization, hence enhancing the Quality of Hire.

Within the scope of the investigation, the competencies of the personnel working in the IT department of one in the largest state banks of the country were used. The entire data collection includes information on 1,850 individual employees as well as 13 different characteristics. For analysis, Python’s “keras” and “seaborn” modules were used. The Gower coefficient was used to determine the distance between different records.

The K-NN method resulted in the formation of five clusters, represented as a scatter plot. The axis illustrates the cohesion that exists between things (employees) that are similar to one another and the separateness that exists between things that have their own individual identities. This shows that the clustering process is effective in improving both the degree of similarity within each cluster and the degree of dissimilarity between clusters.

Employee competencies were evaluated within the scope of the investigation. Additionally, other criteria requested from the employee were not included in the application.

This study will be beneficial for academics, professionals, and researchers in their attempts to overcome the ongoing obstacles and challenges related to the securing the proper talent for an organization. In addition to creating a mechanism to use big data in the form of structured and unstructured data from multiple sources and deriving insights using ML algorithms, it contributes to the debates on the quality of hire in an entire organization. This is done in addition to developing a mechanism for using big data in the form of structured and unstructured data from multiple sources.