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The study seeks to analyze concepts of “career grades” and “job grading,” to highlight their importance and objectives for the efficiency of administrative systems. In addition, it identifies the international standards that can be used to draw grading systems. It explores the most important types of grade structures. It also clarifies grading systems in the Egyptian administrative system. It indicates some methods that can be considered a form of career progression.

The study employs descriptive, analytical, as well as, legal approaches; it analyzes the information given in the study in terms of relevant legal texts.

The study identifies precise definitions of both career grades and job grading, referring to these concepts in the Egyptian administrative system. It also suggests that there is no ideal hierarchy to be applied in all administrative systems. Therefore, the study provides some criteria that help to form the appropriate grade structure for each system.

The study analyses some literature on “job grading,” its objectives, its criteria and its main types, presenting an integrated framework that can be used to develop career-structure systems. Finally, the study identifies some methods that can be considered as a means of grading.

Clarifying the risk evolution mechanism of housing construction for work-safety management is essential. Existing studies have inadequately discussed the risk-accumulation process in housing construction. Therefore, this study aimed to use the complex network theory and risk allocation mechanisms to explore the evolution of risk factors.

The authors analysed a database of housing construction accidents in China from 2015 to 2020 to identify risk factors. Moreover, the causal relationship between risk factors was determined through a systematic analysis of the logical sequence of risk factors. A complex network was used to construct a risk network for housing construction accidents (RNHCA).

The risk matrix method was used to define the factor risk threshold, and a risk value was assigned based on the correlation between risk factors. This contributes to the examination of the evolution mechanism of risk networks in the process of risk factor transmission. The case verification results show that the RNHCA quantitative assessment model can better evaluate the system risk status of housing construction accidents. Furthermore, this model can identify the key risk factors and risk chains with high risk in the evolution of the risk network.

Accident investigation reports need to be classified and processed to analyse the evolution law of risk networks under different scales of construction project, such as high-rise buildings, middle-rise buildings, and low-rise buildings.

This study clarified the risk evolution process of complex systems in housing construction and provided a new method for analysing accidents.

This study clarifies the risk value allocation of risk factors in the transmission process and reveals the process of risk factor evolution in housing construction. This study explains the individual risk factors that form a systemic risk through the transmission chain. Moreover, this paper clarified the transformation relationship between system risk and accidents. The paper also provided a new perspective for risk analysis.

This research intends to develop a model for predicting employees at a high-risk attrition and identify the most important factors affecting them.

In this study, using the triangulation technique of a mixed research method, the employee attrition problem is investigated by identifying its affecting factors. For that matter, data related to the human resources department of a pharmaceutical company in Iran are used. And to achieve the intended goal, advanced data mining algorithms and interviews with human resource managers are applied.

A model for predicting employees at a high-risk attrition is presented based on the gradient boosting machine algorithm with 89% accuracy. The use of the mixed research approach shows that qualitative and quantitative methods can be more effective in identifying the factors affecting employee churn or loss of staff. The results also contain a new situation arising out of the COVID-19 pandemic and remote working scenarios having impact on employee attrition. Finally, human resource policies are presented based on variables related to each of the identified factors.

The novel contributions of this study include real data related to a leading pharmaceutical company as well as a combination of two quantitative and qualitative methods. The hybrid approach can identify the reasons for attrition and, consequently, retention policies to benefit from the advantage of both approaches. Data mining can be useful to identify the factors, which are usually not mentioned in termination interviews, such as direct managers. On the other hand, the results obtained from termination interviews can also include features that the authors cannot identify through data mining, which are specifically related to the characteristics of the pharmaceutical industry such as building a more professional career path. From a practical perspective, since this company specializes in pharmaceutical marketing in a new way and is primarily comprised graduates, it is important to note that the churn of specialized people disperses organizational and technological know-how. On the other hand, the pharmacist community in Iran is small, and their attrition might adversely affect not only the reputation of an organization but the employer's brand as well. So, this research would help other similar firms in retaining their valuable human capital.

This study aims to explore the mediating role played by the contradictory behaviour of knowledge sharing and knowledge hiding in the relationship between paradoxical leadership and employee creativity.

A survey was conducted with 276 employees working in information technology firms in India. “To assess the relationship between the constructs, single and parallel mediation analysis of structural equation modelling (SEM) and confirmatory factor analysis (CFA) have been performed”.

This study found that paradoxical leadership is significantly associated with employee creativity. Besides, it has also been found that knowledge sharing has emerged as a mediator that explains the relationship between paradoxical leadership and creativity, while knowledge hiding has not been a mediator to explain the relationship between paradoxical leadership and creativity among employees. According to the study, it was found that discouraging knowledge-hiding behaviour can increase employee knowledge sharing, which in turn fosters employee creativity.

Research has examined the relationship between paradoxical leadership and employee creativity in this paradigm, as well as the roles of knowledge sharing and knowledge hiding as mediators.

The results of this study will help top management to create strategies for enhancing the relationship between a leader and their subordinates by using effective knowledge management strategies that foster employee creativity. Employee creativity would be facilitated effectively by the paradoxical leader who regulates knowledge-hiding behaviour among employees and promotes knowledge-sharing behaviour.

This study addresses the gap in prior research by investigating the role of paradoxical leadership in managing the contradictory behaviours of knowledge sharing and hiding and their impact on employee creativity. As the motivation for knowledge sharing and hiding are inherently distinct, leaders with paradoxical qualities foster a culture of openness and trust to encourage knowledge-sharing while discouraging knowledge-hiding behaviour. By controlling knowledge-hiding behavior empowers employees to make meaningful contributions to the organization’s success through effective collaboration and teamwork, allowing for a more innovative and creative workplace. Because preventing knowledge-hiding behaviour is a means to promote knowledge sharing and ultimately foster creativity in an organisation. Overall, this paper offers unique insights into the intricate dynamics of knowledge management and provides valuable recommendations for leaders managing employees exhibiting contradictory behaviours in the workplace.

This study aims to examine whether and why subsidiary-unit managers’ prior international work experiences across multinational enterprises’ (MNEs) home and host countries impact their subsidiary-unit performance, considering the mediating effect of their advice networks.

A survey on 222 subsidiary-unit managers (154 parent country nationals [PCNs] and 68 host country nationals [HCNs]) of a Korean MNE operating in China, Vietnam, Thailand, Singapore, Hungary and Slovakia was conducted. The authors analyzed the data using partial least square structural equation modeling, multigroup analysis and bootstrapping techniques.

PCN subsidiary managers with more prior international work experience manage better-performing units due to the strength of the manager’s advice networks across local parties. However, for HCN subsidiary managers, this study did not find such mediating roles of the size and strength of their advice networks in the MNE home country.

This study provides novel insights and empirical evidence about the effect of the length of prior international work experience of subsidiary managers on their advice-seeking networks and subsidiary-unit performance. In addition, it draws on and add to social capital theory about how international work experience impacts dealing with local businesses and the relationship with corporate headquarters.

Sources highlight that lack of systematic labour training components results in low performance and productivity of labour, which leads the construction industry of many countries to face various challenges. This study aims to quantify the variations in the performance and productivity levels of labour in building construction projects through the applications of effective work-based training components.

A comprehensive literature review and a series of experts’ discussions with action-oriented communication approaches were conducted to develop a set of practices related to labour training, performance assessment and productivity measurements within a framework. The developed practices were applied to around 100 labourers working on nine building construction projects through a construction supervisory training programme.

The study presents the detailed patterns of the significant changes in labour performance and productivity levels. The majority of trained labourers have grown to perform the work process with some relevant theoretical and operational knowledge and skills. The overall results spotlight the significant behavioural changes that can be observed in workforce operations by improving labour performance, which resulted in implementing effective labour-rewarding practices within a framework.

Although the study findings were limited to the Sri Lankan context, the proposed practices can be applied to the industry practices of the construction sector of other developing countries and the other developing industries in similar ways/scenarios.

The study outcomes contribute to uplifting the work qualities of labourers with life-long learning opportunities and unlocking the potential barriers for expanding the local labour supply while controlling the excessive inclination of the local firms towards foreign labour. This paper describes further implications and future scopes of the study elaborately.

The study provides generalised mechanisms and practices that transform the labour characteristics and add new attributes for strengthening the values of construction supervision practices to obtain well-improved work outputs. The study outcomes reinforce the chain relationships among the training elements, labour performance and productivity levels, leading to upgrading current planning and operational management practices, especially adding constructive mechanisms in resource levelling and productivity benchmarking practices.

This study builds on previous theoretical work that considered artificial intelligence (AI) and its potential for creating “teacher-centaurs” whose labor could be accelerated through the use of generative AI (Fassbender, in review). The purpose of this paper is to use empirical methods to study centaur teachers and the division of labor (Durkheim, 1893/2013) that arise from outsourcing teaching tasks to AI.

Multiple case study (Stake, 2006) was used to collect data on two secondary English teachers who were early adopters of generative AI. Data included semi-structured interviews as well as ChatGPT chat logs, which helped in describing how teaching approaches evolved using AI technology.

Results showed that teachers used AI for planning, instruction and assessment. AI-augmented teaching practices allowed teachers to complete tasks with greater speed, which in turn increased stamina and short-term work–life balance. Given the novelty of AI, concerns about data privacy and academic integrity raised ethical questions.

ChatGPT’s rise to popularity in 2023 brought with it significant discussions about education, specifically how students would use AI primarily as a tool for plagiarism. This study takes a different focus, considering how early adoption of AI has begun changing teacher labor, offering implications for the future of the teaching profession.

High performance of new hires is of imminent interest to organizations in the hospitality sector. Yet, limited studies have focused on the relevant traits of new hires that improve on-job performance. This study aims to identify and understand a few critical traits that predict high performance across multilevel roles within the hospitality sector.

Drawing on the human capital theory, through a time-lagged field study spanning 16 months, this study used multisource data for 540 active job opportunities and 205 new hires within the hospitality industry. This study used partial least squares-based structural equation modeling and analyzed the various traits that predict high on-job performance.

This study finds that humility is a significant predictor of job performance and wholly mediates the effect of interpersonal understanding, self-confidence and flexibility on new hires’ performance.

This study enhances talent management research for the hospitality sector by determining the critical traits of new hires that can predict superior on-job performance.

The aim of this study is to analyze whether or not the interaction between academicians' cultural and social capitals has effects on their individual work performance.

A structural model was developed in the study to test the correlations between cultural capital, social capital and individual work performance. The data of the study were collected from 2,855 academicians.

The findings of the study indicate that both cultural and social capital has a simultaneous positive effect on individual work performance. It is also found that the cultural and social capital can account for 39% of the individual work performance and that social capital is a dominant driving force.

Although the cultural and social capital has significant effects on the individual work performance, these effects are not of casual nature.

Therefore, it is possible to argue that the cultural and social capital in higher education institutions should be encouraged. Future studies may employ samples of individuals to see whether not these effects have causal characteristics.

The findings of the study contributed to the existing knowledge on the work performance describing the new correlations among the patterns.

This study aims to examine the rationales for and obstacles to developing a national qualifications framework (NQF) in Japan. From a research perspective, it attempts to propose a model of a qualifications framework in the national context to provoke further political discussion in developing the Japanese Qualifications Framework (JQF).

To propose a possible model of a qualifications framework in the Japanese context, this study employs a qualitative document analysis approach to known NQFs. Next, based on documents and the literature, including government data and the United Nations Educational, Scientific and Cultural Organization’s Tokyo Convention (2011a, b), this study analyzes the motives and challenges in developing the JQF.

Japanese motives to develop the JQF can be summarized in four conditions: (a) International expectations along with the Tokyo Convention and establishment of the National Information Center, (b) avoiding qualification holders’ disadvantages in mobility, (c) quality assurance of qualifications with a competence-based approach and (d) lifelong learning by promoting recognition of diverse learning. The challenges in developing the JQF are (a) fitness with the traditional employment system and (b) multiple stakeholders’ involvement. The current priority in developing an NQF in Japan is to make educational qualification information “visible” based on legal grounds, particularly entrance requirements, to facilitate mobility.

This study explores the possibility of the JQF by summarizing the background and roles of NQFs worldwide and clarifying the motives and challenges for developing the JQF. This study provides suggestions for the possible qualifications framework model in the Japanese context from academic and practical perspectives in Japan, where official discussions on establishing an NQF have not progressed. Ensuring the international compatibility of qualifications so that qualification holders can smoothly take the next step in their studies and employment is important.