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This study aims to examine the impact of knowledge and skills acquisition from youth leadership programs on the extent of training transfer. Additionally, it explores the role of self-esteem as a potential intervening mechanism in linking the acquired knowledge and skills to the transfer of training.

Using a non-probability purposive sampling, data were gathered from participants of youth leadership programs in Brunei. The study hypotheses were validated using multiple linear regression analysis and Hayes PROCESS macro.

The findings revealed that knowledge and skills acquisition positively affect the extent of training transfer among youth leadership program participants. Moreover, self-esteem is found to be a crucial mediator in the relationship between knowledge and skills acquired from youth leadership programs and the extent of training transfer.

The study suggests that to optimize the transfer of training in the youth leadership programs, relevant stakeholders – training providers, and practitioners – must prioritize not only the knowledge and skills acquisition but also the cultivation of participants’ self-esteem. To achieve this, a primary focus should be placed on the criticality of designing such programs to address these factors. Policymakers, particularly in Brunei, can enhance the leadership pipeline among the youth population and expedite progress toward achieving the national vision by aligning leadership development initiatives with the broader national development agenda.

Collectively, this study enhances understanding of training transfer in youth leadership development, an often-overlooked area in the literature.

Public and private universities keep facilitating knowledge transfer and sharing within academic institutions. Multiple factors have been investigated to strengthen the infrastructure of these universities; however, the researchers have always been trying to explore the best one. Therefore, the purpose of this study is to investigate the influence of academic supports on motivation to learn (MTL) and transfer, in turn, influence transfer of training (TOT). Interestingly, the sector (i.e. public or private universities) unveils TOT to see whether the public sector has best practices or private.

This study adopts valid measurement instruments from the literature studies. This study pretests the validity and reliability of the instruments. This study administers the designed survey questionnaire among the faculty members of both public and private universities. This study uses a convenient sampling approach using a quantitative research method. By applying Smart partial least square (PLS) 3.3.3, this study uses structural equation modeling.

This study supports that organization, supervisor and peer support significantly and positively influence TOT. Additionally, MTL and motivation to transfer (MTT) significantly and positively mediate the link between TOT and organizational, supervisor and peer support. MTL also significantly and positively influences MTT. Most interestingly, the sector significantly and positively moderates the link between TOT and organizational, supervisor and peer support, MTL and transfer.

The results support the public and private universities that they should develop the infrastructure containing learning motivation and transfer for easy TOT. This would be more effective if the in higher educational institutions (HEIs) follow research findings.

This study empirically tests the impacts of academic supports on MTL and transfer, which boosts the TOT. The novelty of the research can be implemented in HEIs’ rules and regulations.

Compared with traditional methods relying on manual teaching or system modeling, data-driven learning methods, such as deep reinforcement learning and imitation learning, show more promising potential to cope with the challenges brought by increasingly complex tasks and environments, which have become the hot research topic in the field of robot skill learning. However, the contradiction between the difficulty of collecting robot–environment interaction data and the low data efficiency causes all these methods to face a serious data dilemma, which has become one of the key issues restricting their development. Therefore, this paper aims to comprehensively sort out and analyze the cause and solutions for the data dilemma in robot skill learning.

First, this review analyzes the causes of the data dilemma based on the classification and comparison of data-driven methods for robot skill learning; Then, the existing methods used to solve the data dilemma are introduced in detail. Finally, this review discusses the remaining open challenges and promising research topics for solving the data dilemma in the future.

This review shows that simulation–reality combination, state representation learning and knowledge sharing are crucial for overcoming the data dilemma of robot skill learning.

To the best of the authors’ knowledge, there are no surveys that systematically and comprehensively sort out and analyze the data dilemma in robot skill learning in the existing literature. It is hoped that this review can be helpful to better address the data dilemma in robot skill learning in the future.

The aim of this paper is to analyze the links between leaders' creation of knowledge in the setting of a leadership development program and the transfer of knowledge to their own organizations.

This is a case study of a leadership development program conducted during 2020–2022. The program was focused on how to lead and manage learning and knowledge processes in organizations, and offered a mix of theoretical perspectives and practical collaborative sessions. Data were collected through interviews and the participants' written reflections on their learning experiences. Total number of interviews was 13.

Overall the participants showed many examples of how they applied theories and practical tools that they had learned during the program in their own organizations. The participants experienced different types of challenges regarding knowledge transfer, but also potential meta-knowledge transfer through dialogue.

Pedagogical organizing of leadership development point to a need for supplementary dialogue between the leader of the development program and both the participating leader and manager.

This study shows that meta-knowledge transfer is not a simple matter of moving codified knowledge from the development program to new settings. Knowledge about others' knowledge requires and stimulates subject-to-subject relations between people through which new knowledge potential is created. These findings confirm and enhance previous studies that indicate the need for social support for soft-skill knowledge transfer.

The purpose of this paper is to examine the relationship among training design, trainee motivation and work environment on the transfer of learning for teachers enrolled in a continuing professional education (CPE) training program and the confirmation of potential positive, predictive relationships of trainee motivation, work environment and training design to transfer of learning. This study investigated the contribution of training efficiency and relevance as measured by the training design; work environment as measured by work autonomy, work complexity and work variability; and trainee’s motivation of training (learning- and job-oriented) to the transfer of knowledge and skills from the training program to their workplace. Both direct and indirect effects of mentioned components on the learning transfer were explored.

This study included 160 teachers working in high-needs schools with large numbers of English learners (ELs) Southwest USA. Teachers in this study primarily needed professional development to empower them and enhance their instructional capacity for ELs and economically challenged students. During the recruitment, participants completed a demographic information (e.g. gender, ethnicity, number of years teaching, age, educational background) survey.

A mediation model with training design as the mediating factor was developed and analyzed. The results revealed that training design fully mediated the relationship between trainees’ work environments and the transfer of knowledge, skills and attitude acquired from the training to their workplace. Furthermore, it partially mediated the relationship between learning-oriented motivation and the transfer of learning. These findings further amplify the significance of CPE program training design and foster important considerations for future research regarding the isolation of specific training design aspects that significantly contribute to the mediation of these relationships.

Considering the significance of learning transfer in developing professional knowledge and skills for target employees and trainees, confirming the mediating effects of training design on training transfer holds critical implications for future research. Specific and purposeful attention needs to be given to the design of CPE training. Investigations into the effects of training design and successful elements such as the training platform (online, hybrid or in-person), sample size, group structure, facilitation and participant demographics are warranted.

The finding of this research provides a preliminary guide for scholar-practitioners. Results of the study confirmed the role that learning-oriented motivation, job-oriented motivation, work variability or flexibility, work complexity and training design play in transfer of learning. In practice, training professionals will be more comfortable pinpointing the factors that lead to the transfer of learning or the lack of it.

Learning transfer has been found to be imperative for target employees and trainees to develop professional knowledge, skills and attitudes. Results of this study reveal variables that promote the positive transfer of learning to the workplace.

This study aims to investigate the impact of technologies on the knowledge transfer process. In particular, the authors aim to analyze the topic of knowledge brokers and the relationship between broker and digital tools in the knowledge transfer process in the sport context. The study developed, therefore, aims to investigate the creating of this environment for knowledge transfer and knowledge sharing between man and machine, looking to improve the planning of technical sports projects of the clubs.

This paper presents a qualitative approach aimed at analyzing how platforms and the players’ agents can be useful tools in the knowledge transfer process. The research was conducted through a survey with a structured questionnaire via e-mail to 64 managers at the head of clubs playing in the Italian Series B basketball in the 2021–2022 championship. The total number of questions administered is 21.

The results demonstrate how sports directors, for the construction of a technical sports project, in addition to learning off the pitch by interactions with media, fans, pressure management, leadership skills, positive attitude, tolerance, understanding of other opinions, background and cultures, see the athletes’ agents as the main stakeholder of the managers. The research resulted, by the clubs’ managers, in both formal learning and informal-type learning. Informal learning, by far the most frequently used and most important in the general learning process of executives, is identified in the use that executives make of information available on digital platforms and of the fiduciary relationships that management has with players’ agents.

The results demonstrate the valuable opportunities for executives, coaches, managers and clubs to strategically manage learning and knowledge sharing. Improving and managing knowledge-sharing strategies would help increase knowledge, not only of the sports directors but also of the entire club, thus improving the absolute quality of the game within the Italian basketball divisions. The authors have developed an innovative framework regarding the construction of a “typed sports technical project”, and the authors have identified a series of crucial phases capable of determining the creation of a new roster of athletes.

In this study, an open innovation (OI) model was designed in which the organization’s human resource systems comprise the main core. To identify the various dimensions of the model, this study aims to investigate how and under what conditions the organizations update and upgrade their knowledge and experiences in the human capital (HC) systems domain within the OI framework and in line with sharing them with other organizations.

In this qualitative study, the data were collected by means of semi-structured interviews and analyzed through grounded theory, which led to the extraction of the final model.

The implementation of the HC-based OI helps upgrade knowledge in the organization and industry knowledge, create win-win relationships and increase the interaction capital, power and credit of the organization.

In this study, HC systems have been regarded as the core of the OI model (rather than an intervening factor in OI). This is the main innovative aspect of the current study. In addition, the special attention paid to the inside-out approach to OI and the examination of the human and social aspects of inter-organizational knowledge sharing – particularly in the light of the fact that the study was carried out in a developing country – are the other innovative aspects of this study.

This paper aims to refer to the knowledge transfer of entrepreneurial skills between digital incubators and nascent entrepreneurs. It questions the role of the context and of the richness of the ecosystems in which these women evolve, as defined by Welter and Baker (2021) on such an attempt.

This research is based on a qualitative study that refers to case studies of women nascent entrepreneurs who evolve into two different contexts – one rich zone and one deprived economic one of the French Parisian Region – and who integrated the same digital incubator.

Context does partly matter: besides the “Where”, the “Who” and, moreover, the level of education and previous entrepreneurial experience really matters, and only educated women, whatever the other components of context, seem to be capable to receive the “best” knowledge transfer from incubators. Second, incubators can be considered as to be a knowledge hub that allow knowledge transfer not only from trainers and coaches to women nascent entrepreneurs but also among women entrepreneurs. This paper concludes with a discussion on the role of digital training and coaching in such knowledge transfers.

Findings are limited to a specific place (the region of Paris). Therefore, women entrepreneurs evolve in more different contexts but the national entrepreneurial and institutional context remains the same. There should be need to explore the role of an incubator that evolves into more contrasted contexts.

If results can be generalized, this means incubators should differentiate their services, teaching and coaching expertize according to the education level of nascent entrepreneurs: This is a plaidoyer against institutionalized incubators that claim to be capable of targeting any nascent (women) entrepreneurs.

This study is also a plaidoyer for more digital incubator to mix persons from different contexts, especially to welcome persons from more deprived economic zones.

The research reveals the role of context – and, some components of the context – intro coaching and training that are provided by online incubators. It contributes to the literature on knowledge transfer that is brought about by incubators. It also contributes to the literature in entrepreneurship by showing that some components among the others that define what we call “the context” matter more than others.

This study aims to investigate the relationship between intrinsic motivators and the transfer of knowledge/skills gained during training to work. The intrinsic motivators considered for the study were self-efficacy and motivation to transfer the training knowledge. The study also examined how work conditions mediate the association of intrinsic motivators and training transfer. The working conditions considered in the study were autonomy and the opportunity to perform in the job.

A cross-sectional study was conducted among 426 participants from microfinance institutions in Karnataka, India, who had received a three-week job training six months earlier. Data were collected using a questionnaire and structural equation modelling was performed for the analysis of the data.

The study found positive significant relationships between motivation motivators and training transfer of learning. Positive relationships were also seen between work conditions and training transfer of learning acquired via training. The study also established the role of intrinsic motivators in predicting training transfer through work conditions.

This study stands among the pioneering works to investigate the influence of intrinsic motivators on training transfer, while also examining the mediating role of work conditions. It focuses on an emerging economy, specifically India, thereby contributing valuable insights to the field.

This paper examines to what extent formal training targeted to workers aged 45 and over could enhance their knowledge transmission activities specifically in changing work environments. This is a key issue for human resources practitioners. Allowing older workers to keep on interacting with their colleagues and transmitting their knowledge acquired through experience reduces the risk for firms of losing critical knowledge assets.

The authors use French-matched employer–employee data to estimate the effect of participation in training sessions intended to support change on the probability for workers aged 45–59 of frequently showing work practices to their co-workers. To account for selection bias in training, the authors reduce the group of untrained workers to those who wanted to attend a training session but had to cancel their participation for exogenous reasons. Leuven and Oosterbeek (2008) show that this is a valid approximation of a random assignment to training.

Training with the intention to support change for workers aged 45 and more significantly increases knowledge transmission for training participants. This effect is not strictly related to a supervising role as it is significant for workers without subordinates; it holds when the authors address the selection bias in training by narrowing down the comparison group. When training comes as a response to mitigate the potential negative effects of technological or organizational changes in the work environment, it helps workers aged 45–59 maintain their contribution to the knowledge base of the production.

Our findings suggest that two main aspects have to be borne in mind when assessing the effectiveness of training for older workers. First, the reasons for training must be carefully considered, especially if it occurs in response to technological or organizational change in the workplace. Second, the continuation of interactions between older workers and their co-workers must be factored. If the public debate acknowledges that employee learning and development is critical in times of structural change and crisis, the outcomes of knowledge transmission within workplaces in terms of job satisfaction, turnover intentions, productivity or innovation, which the authors do not cover in this paper, deserve further investigations. In particular, the authors believe that studying how the training that supports technological and organizational change influences the relationship between age diversity and firm productivity is a promising avenue for future research.

The implication of this article for human resource managers is that there may be a substantial cost to not updating the skills of older workers after technological or organizational change. Indeed, it is likely that a large proportion of jobs will only be partially automated, which implies that while some tasks will disappear, rendering the corresponding skills obsolete, others will persist and the skills associated with them will remain useful to organizations. If older workers are excluded from their work collectives after these changes, because their skills have not been updated through training, the knowledge from their accumulated experience that remains valuable will be irrevocably lost when they retire.

This study sheds a new light on the effectiveness of older workers’ training. Some contributions argue that training for older workers is not very effective because it has no significant effect on employment duration, earnings or relative productivity. The authors show that specific types of training to update skills after a technological or organizational change allow older workers to keep interacting with their co-workers and pass on their knowledge gained through experience, thereby reducing the risk for firms of losing critical knowledge assets.