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This paper conducts empirical research to assess the new skillsets employees require in order to remain competitive in the age of automation.

Research is conducted through focus groups leveraging semi-structured interviews. Participants were selected via convenience sampling from UK-based consulting agencies operating in the public and private sectors.

The findings suggest that organizations are looking to upskill employees in 5 key skill blocks: Humanistic, Process engineering, Automation technologies, Self-leadership and Data driven. The findings also suggest that employee orientation towards these skill blocks will be critical for positive work opportunities in future.

This paper builds on the author’s previous work to produce a conceptual skills framework which can be used by organizations as a blueprint for upskilling their employees in a period of unprecedented technological advancement.

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.

This paper aims to solve the problem of the inability to apply learning methods for robot motion skills based on dynamic movement primitives (DMPs) in tasks with explicit environmental constraints, while ensuring the reliability of the robot system.

The authors propose a novel DMP that takes into account environmental constraints to enhance the generality of the robot motion skill learning method. First, based on the real-time state of the robot and environmental constraints, the task space is divided into different regions and different control strategies are used in each region. Second, to ensure the effectiveness of the generalized skills (trajectories), the control barrier function is extended to DMP to enforce constraint conditions. Finally, a skill modeling and learning algorithm flow is proposed that takes into account environmental constraints within DMPs.

By designing numerical simulation and prototype demonstration experiments to study skill learning and generalization under constrained environments. The experimental results demonstrate that the proposed method is capable of generating motion skills that satisfy environmental constraints. It ensures that robots remain in a safe position throughout the execution of generation skills, thereby avoiding any adverse impact on the surrounding environment.

This paper explores further applications of generalized motion skill learning methods on robots, enhancing the efficiency of robot operations in constrained environments, particularly in non-point-constrained environments. The improved methods are applicable to different types of robots.

This article provides an overview of lessons we can learn from human resource (HR) policies and practices related to neurodiversity.

We conducted a practice-based review using information obtained from organizations’ websites, summarized the information and reflected on how scholars can continue to advance this area of research based on what is happening in practice.

The review provided a selective overview of programs and practices per HR cluster: selection and recruitment; onboarding, integration and retention; job design; flexible work options and working remotely; training; employee resource groups (ESGs) and support. The review provides a description of practices and policies implemented within organizations that focus on neurodiversity among employees.

Our review showed that organizations have a multitude of HR practices and policies in place to include neurodivergent individuals in their workforces, though many of these have not been empirically investigated. Sharing this knowledge is important so that research insights and practice can reciprocally influence one another.

This study seeks insights into the engineering undergraduates’ knowledge of problem-solving process, teamwork characteristics and communication skills.

The data for the study were collected through consecutive sampling technique from 78 engineering undergraduates at the Birla Institute of Technology and Science Pilani, Pilani Campus, India on a five-point Likert scale-based questionnaire.

Exploratory factor analysis results traced three stages of the problem-solving process. However, the results of teamwork characteristics and communication skills validated the literature-based results. An important finding was that all the three skills were correlated. This means that one skill can be used to develop and promote other skills. The paired sample t-test demonstrated that all the three skills were perceived with a difference, which indicates that these skills worked in collaboration without losing their individuality.

This study supports that there is a need to engage learners in an active and collaborative environment to improve the engineering undergraduates’ knowledge of skills.

The conscious effort to make the engineering undergraduates aware would reduce the gap between the graduating engineers skills currently possessed in academia and the required skills at workplace.

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.

Researchers have previously utilized the project-based 6E learning model and the problem-based quantum learning model in various courses, such as the instructional principles and methods course and the character and values education course. These models were evaluated for their impact on students in different subjects, including developing skills, values, democracy perceptions, attitudes towards cooperative learning, metacognitive thinking skills and teacher self-efficacy perceptions. In 2023, Ökmen, Sahin and Kiliç reported positive outcomes, while Sahin and Kiliç reported similar findings in 2023a, 2023b and 2023c. There has been no investigation into how the models affect students' critical thinking and academic literacy. This study seeks to determine the impact of both models on these skills, gain more insight into their effectiveness and determine which is more beneficial. The results will guide the decision-making process for the character and values education course and other courses in the future. Specifically, this research aims to compare the effects of the project-based 6E learning model and problem-based quantum learning model on critical thinking and academic literacy.

This research employed the Solomon four-group experimental design to assess the efficacy of the applications. Prior knowledge and experience of the participants were evaluated through pretests. However, it should be noted that pretests may impact posttest scores either positively or negatively. For instance, participants taking the test multiple times may become more interested or attentive to the subject matter. The Solomon four-group design was deemed appropriate to analyze the influence of pretesting. This design enables the investigation of the application effect, pretest effect and interactive effect of pretest and application (van Engelenburg, 1999).

It was concluded that the project-based 6E learning model was effective in developing critical thinking in students, but not significantly. It was concluded that the problem-based quantum learning model significantly improved students' critical thinking skills. It was concluded at the end of the study that the project-based 6E learning model notably enhanced students' academic literacy. It was concluded that the problem-based quantum learning model had a significant positive impact on students' academic literacy. According to research, it has been determined that the problem-based quantum learning model is superior in enhancing critical thinking abilities compared to the project-based 6E learning model. Nevertheless, there seems to be no detectable disparity in the academic literacy advancement of pupils between the problem-based quantum learning model and the project-based 6E learning model.

There has been no investigation into how the models affect students' critical thinking and academic literacy. This study seeks to determine the impact of both models on these skills, gain more insight into their effectiveness and determine which is more beneficial. The results will guide the decision-making process for the character and values education course and other courses in the future.

We explore the skills required for digital leadership for reshaping existing business models toward digital models. Digital leadership is pivotal in gaining a competitive advantage and achieving successful digital transformation. However, little is known with regard to the underlying mechanisms related to digital leadership and transformation.

Data are collected through semi-structured interviews involving 20 participants from five Pakistani textile companies. Thematic analysis was employed as a data analysis tool.

Findings show that certain skills such as technological know-how, innovativeness, adaptability, ability to lead and steer, honesty, integrity, transformative vision, communication and collaboration are conducive to successful digital transformation in textile manufacturing firms. Similarly, digital leaders can significantly enhance business model innovation, create value for the firm, help develop new products (value proposition) and create Ecosystem partnerships (value network).

This article bridges gaps between existing literature on digital transformation and leadership. Digital leadership skills for digital transformation and the role of digital leaders in business model innovation have not been explored before. The conceptual framework is put forth, propositions are proposed and the findings offer some future research directions.

The purpose of this paper is to examine the restructuring of human resources development processes in Indian Institutes of Technology (IIT) libraries in North India, emphasizing the essential information and communications technology (ICT) skills for both recruits and existing staff.

The study used a survey research design, with two different sets of structured questionnaires used to collect data. The first set, which was distributed to all heads of seven IIT libraries in North India, received a 100% response rate. Simultaneously, the second set was distributed to library users, yielding a 92% response rate (680 responses out of 700 distributed). The collected data were analyzed and tabulated, with suitable interpretations.

The findings of the study reveal that all examined libraries have implemented skill development programs. Moreover, advanced ICT skills are considered essential for staff appointments, and specific institutes (IIT Kanpur, IIT Delhi, IIT Jodhpur and IIT Ropar) took the initiative to provide ICT training to their employees. Trained employees exhibited enhanced performance, attributed to advanced ICT knowledge. The study suggests restructuring selection criteria and introducing structured ICT training programs for library staff, ensuring a more adept workforce for current demands.

The study can increase the impact globally on human resource development by incorporating soft skills, job satisfaction and leadership development while exploring research opportunities through cross-institutional comparisons and the integration of emerging technologies such as artificial intelligence and virtual reality.

This study collected primary data from IIT libraries in North India using self-designed questionnaires. The findings provide useful insights into how libraries might restructure human resource development in the digital age.

This research explores the link between job redesign and skilling in three Lebanese service provider industries, aiming to understand how these factors affect organizational agility, a crucial factor for efficiency and effectiveness and promote long-term interventions through job redesign, upskilling and reskilling.

This study employed two surveys, one for personnel (employees) and one for human aid managers (HR managers). These surveys collected data from 384 employees and 67 HR managers. The study utilized a work design questionnaire (WDQ), skilling application evaluation and the change acceptance model and testing to evaluate job redesign, skilling application effectiveness, technology acceptance and change readiness.

It was revealed that there is a significant and positive relationship between job redesign and the application of skilling programs. This relationship was shown to enhance organizational agility, with a particular focus on employees' technology acceptance and readiness for change. The integrated framework that combines job redesign, upskilling and reskilling was empirically tested and found to enable organizations to build their agility. The study also identified challenges and offered solutions for implementation, emphasizing the importance of employee responsiveness.

This research emphasizes the need for organizations to adapt job designs and enhance employee skills to enhance organizational agility, recommending a structured approach that combines job redesign and skill development efforts.

This research integrates job redesign, upskilling and reskilling in Lebanese service provider industries, contributing to organizational change and workforce development. It emphasizes technology acceptance and readiness for change.