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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.

A crucial issue in educational management refers to helping teachers reach their full potential and manage their talents. Although managing talent is advised as an essential resource for organizational transformation to maximize performance and to promote a school’s knowledge capital increase, Teachers’ talent management (TTM) is not an agreed-upon concept in the literature. The aim of this study is threefold: (1) to propose a theoretical and operational TTM definition, (2) to develop a test to measure TTM and (3) to discuss the value of TTM implementation in educational settings.

A psychometric validation design according to international standards for test development is implemented. A cross-sectional intentional sampling with 200 schools is used for obtaining reliability and validity evidence. We operationalized TTM using 9 factors (10 items per factor, 6-point Likert scale): attraction, selection, development, retention, succession, climate, culture, evaluation and knowledge management.

Results show adequate evidence of reliability and validity, focusing on items' content and latent structure. The combined use of structural equation models (SEM) and psychometric networks (PN) detects a six-factor model with a test reduced version including 61 items, getting 64.28% of the total explained variance and adequate reliability indices and factor loadings.

The Teachers' Talent Management Assessment Test (TTMAT) can contribute educational institutions to create a culture of excellence and deliver the best possible education to their students. Educational transformation will only happen if teachers are professionalized, trained, motivated and supported to inspire and to guide their learners to reach their objectives and well-being.

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.

The purpose of the paper is to afford a comprehensive conceptualization and operationalization of the construct of talent management through an inclusive exploration of conceptual clarifications for existing confusions while developing a complete measuring instrument.

The archival method was adopted together with a systematic review based on Khan et al.’s (2003) five steps of systematic literature review. The systematic review has encircled published research articles between 1982 and 2023 in the human resource management (HRM) arena. A total of 130 articles were initially scrutinized, and 106 were systematically reviewed to conceptualize, operationalize and explore clarifications for confusions and instrument development for talent management.

This study explored conceptual clarifications for existing confusions towards talent management while recognizing definitions that come under the main philosophical schools for the underlying concept of talent. A novel practical definition has been established for talent management while recognizing dimensions, and then certain elements. A comprehensive instrument has been developed to measure talent management.

This study is limited to instrument development in measuring talent management; nevertheless, there is an enormous scope for using the instrument to empirically measure talent management through organizational and employees perspectives linked to diverse global contexts in future studies.

The developed comprehensive instrument is a vibrant contribution to future investigations related to empirically measuring talent management associated with organizational and employee perspectives related to diverse global contexts in winning “war for talent.” This study endows a significant input to the whole frame of HRM knowledge as it resolves existing conceptual ambiguities towards talent management while defining and operationalizing it.

The purpose of this study was to investigate the effect of a facial photo of female job applicants on employment decisions.

A laboratory or “controlled” experiment was conducted to examine the impacts of job applicants’ facial photos, job applicants' professional qualifications (education level and years of work experience), raters’ gender and college student raters’ academic year on employment-related decisions in a hypothetical situation in the Chinese context. A descriptive analysis and mixed-design factorial ANOVA were conducted.

Significant main effects were found for the applicant’s photo and professional qualifications in the analysis of employment decisions. Significant interaction effects were also found in the analysis.

Discrimination against applicants who attached unattractive photos was more pronounced for the interview decision when the applicants had low qualifications than when they had high qualifications. Although both male and female raters’ ratings of the interview, hiring and salary decisions decreased as attractiveness decreased, it was more pronounced for male raters than female raters.

The purpose of this study is to synthesize the current turnover literature that has investigated the nonfinancial antecedents of turnover intention across generations. This paper provides an integrative and analytical review of prior empirical studies with two research questions: What nonfinancial factors influencing employee turnover have been empirically identified across different generations? and What generational commonalities and uniqueness exist among the turnover antecedents?

To identify nonfinancial antecedents of employee turnover, an integrative literature review that allows a systematic process of searching and selecting literature was conducted. While synthesizing the antecedents identified in the articles, the authors were able to categorize them at three different levels: individual, group and organizational

The authors discuss each antecedent according to three categories: individual, group and organizational levels. Based on the findings from the first research question, the authors further explore the commonalities and uniqueness among three generations (i.e. Millennials, Generation X and older workers).

This study found both generational commonalities and uniqueness in terms of turnover intention antecedents. Based on the findings of the study, the authors discuss how to facilitate these common factors across all generations as well as considering the factors unique to each generation. Differentiation within organizations regarding retention strategies should yield positive results for both employees and organizations.

The study explores the impact of knowledge management (KM) enablers, i.e. trust and organizational climate, on KM processes. The study further observes the indirect relationship of KM processes on organizational performance via the mediating role of knowledge workers' satisfaction in cross-cultural settings.

This research used a survey of 784 educational and administrative personnel from higher education institutions (HEIs) in Pakistan and China. Smart Partial Least Square (PLS) 3.2.9 was employed to perform the analysis.

The result shows that trust and organizational climate influences KM processes, and these KM processes, in turn, impact organizational performance via the partial mediating effect of knowledge worker satisfaction (KWS) in Pakistan. The multi-group analysis confirmed the substantial differential effect of KM processes on KWS in culturally different HEIs. At the same time, the study's overall sample substantiated full mediation in China. Furthermore, the impact of KM processes on organizational performance did not substantiate in China.

Outcomes of this research affirm KM university practice and recommend how higher education academics and administrators prioritize trust, organizational climate, KM processes, and KWS while strengthening organizational performance in a culturally different environment.

A lack of research ascertains the inter-relationship between trust, organizational climate, KM processes, KWS, and organizational performance in culturally different environments. This is one of the initial studies that examine the relationship between trust, organizational climate, KM processes, KWS, and organizational performance in HEIs. The study empirically examines the inter-relationships among these variables and enlightens insights into the current literature by immediately investigating the mediating role of KWS in culturally different environments.

The effective and efficient implementation of daily work activities necessitates tacit knowledge sharing, boosting firm productivity. However, the link between tacit knowledge sharing within a company and its effects on organizational performance is unclear, so the purpose of this study is to examine the impact of sharing tacit knowledge on the success of a company.

Construction managers and senior managers were the study’s target participants. The correlation matrix was used to assess the significant correlation between study frameworks and the statistical approach of multiple regression was also used to test the hypotheses using statistical package for social sciences (SPSS) v.26.

The findings suggest that companies will be more willing and capable of making decisions based on experience when knowledge systems are used successfully. Furthermore, new organizational knowledge and particular evaluation procedures, such as anxiety and conflict resolution preparation, personal relationship and training improvement, mediation and task clarity, are explained, which can aid in success.

The study contributes to construction companies’ perception of knowledge sharing and recommends organizations to build capacity to encourage, improve engagement and review to maintain the dissemination of knowledge.

To contribute to achieving the Sustainable Development Goals, this study aims to explore how to encourage innovative green behaviors among college students and the mechanisms behind the formation of green innovation behavior. Specifically, this study examines the influences of schools, mentors and college students themselves.

A multilevel, multisource study involving 261 students from 51 groups generally supported this study’s predictions.

Proenvironmental and responsible mentors significantly predicted innovative green behavior among college students. In addition, creative motivation mediated the logical chain among green intellectual capital, emotional intelligence and green innovation behavior.

The study findings offer new insights into the conditions required for college students to engage in green innovation. In addition, they provide practical implications for cultivating green innovation among college students.

The authors proposed and tested a multilevel theory based on the ability–motivation–opportunity framework. In this model, proenvironmental and responsible mentors, green intellectual capital and emotional intelligence triggered innovative green behavior among college students through creative motivation.

This paper aims to describe the design and evaluation of a pilot leadership development programme for infection prevention and control (IPAC) professionals during the COVID-19 pandemic. The programme’s aim was to improve IPAC knowledge and capacity in the health-care system by developing the leadership skills and capacities of novice and advanced Infection Control Professionals (ICPs), to respond flexibly, and competently, in their expanding and ever-changing roles.

The leadership programme was piloted with seven nurses, who were part of a clinical nursing team in New South Wales, Australia, over a 12-month period between 2021 and 2022. The programme was designed using a leadership development framework underpinned by transformational leadership theory, practice development approaches and collaborative and experiential learning. These principles were applied during programme design, with components adapted to learners’ interests and regular opportunities provided for collaboration in active learning and critical reflection on workplace experiences.

The authors’ evaluation suggests that the programme was feasible, acceptable and considered to be effective by this cohort. Moreover, participants valued the opportunities to engage in active and experience-based learning with peers, and with the support of senior and experienced ICPs. The action learning sets were well-received and allowed participants to critically reflect on and learn from one another’s experiences. The mentoring programme allowed them to apply their developing leadership skills to real workplace challenges that they face.

Despite a small sample size, the authors’ results provide empirical evidence about the effectiveness of using a practice development approach for strengthening ICP leadership capacity. The success of this pilot study has paved the way for a bigger second cohort of participants in the programme, for which further evaluation will be conducted.

The success of this leadership programme reflects both the need for leadership development in the IPAC professions and the applicability of this approach, with appropriate facilitation, for other professions and organizations.

ICP leadership programmes have not been previously reported in the literature. This pilot study builds on the growing interest in IPAC leadership to foster health system responsiveness and change.