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This chapter explores Generation Z's perceptions of learning. Learning can be viewed from three distinct lenses: effectiveness, enjoyment, and engagement of various modalities. Modalities include demonstrated (watch in person), video-based (watch online), intrapersonal (independent), interpersonal (in collaboration with others), social (among others but not working together), and experiential (doing). Effectiveness involves the extent that a certain modality is effective for learning. Enjoyment is reflective of preference and satisfaction with different modalities. Finally, engagement is the actual utilization of specific modalities.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Individual and organizational contributions help firms become learning organizations. Desired outcomes can be achieved through a focus on developing self-directed learning among employees and ensuring that important structures are in place, along with encouragement and guidance from leaders.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

A study of 285 employees in Dubai’s retail sector has shown how SHRM practices – talent acquisition, learning and development, and developmental pay - have a positive association with learning orientation. Meanwhile, the study also revealed that learning and development, and performance appraisal have a positive association with employees’ learning competence.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

As universities find new ways of implementing professional development programs (PDPs), very few scholarly studies have examined how teachers could advance their knowledge and skills through PDPs that are developed based on nonformal learning approaches. To address this knowledge gap, the current study examines how PDPs could be facilitated using nonformal learning approaches to enhance the current and future professional practice of teachers in a South African University.

Data for the current study were gathered using semistructured face-to-face interviews among 28 teachers who were purposively sampled from the university. The interview data gathered were analyzed using thematic analysis.

The four themes that emerged from the narrative data analyzed were: developing teacher professional practice through diverse nonformal learning arrangements; challenges associated with PDPs that are designed using nonformal learning arrangements; teacher rationale for participating in PDPs that follow nonformal learning arrangements and; the role of leadership in professional development. The findings reveal that nonformal approaches are used widely in the professional development of teachers and teachers have diverse reasons for joining PDPs. Further, leadership also plays a major role in the professional development of teachers.

When HEIs use nonformal learning approaches to facilitate PDPs, they could 1) enable teachers to easily transfer the knowledge they acquire from the PDPs to the teaching and learning setting and 2) create a situated learning environment where experienced teachers and other experts support the professional development of young teachers.

This paper presents original ideas on how nonformal learning approaches could be used to facilitate PDPs and to enhance the professional practice of teachers in HEIs.

This viewpoint paper aims to explore the adoption of artificial intelligence (AI) in personalized learning for employees and its potential, challenges and ethical consideration to transform the landscape of employee’s performance improvement.

A review of relevant research papers, articles and case studies is done to highlight developments in research and practice.

Personalised learning powered by AI will transform employee education and training as AI evolves, helping individuals and organisations succeed in an ever-changing, knowledge-driven world. Concerns like data privacy, algorithmic bias and human engagement must be addressed to achieve ethical and fair implementation.

This paper discusses the overall influence of AI adoption on personalised learning for employees. It examines how AI technologies have the ability to disrupt traditional learning methodologies, modify organisational learning cultures and encourage an environment that fosters ongoing learning and innovation.

Peer groups have been established as one of the best tools for leadership learning for family business leaders. However, these groups remain underutilized because business leaders disengage and voluntarily create turnover from these groups. This study explores the perceptions of family business leaders concerning the usefulness, growth opportunities, and equity within peer learning groups to determine what factors impact retention in these groups.

Two surveys were administered to 321 family business owners and leaders through three large family business centers in different regions of the United States. Leaders were grouped into those who left versus those who remained in a peer learning group. Data were collected about their learning experiences and why they remained or voluntarily left a group.

Lack of equity was found to be the main determinant of turnover in peer learning groups. Peer learning groups need to consist of business owners along the same trajectory, career stage, and in similar stages of growing a family business in order to equally contribute to the group’s learning. Business leaders who are in peer learning groups they report as being equal also report that their groups are more helpful, trustworthy and create better-quality learning experiences.

Peer groups are important for peer-to-peer learning and continued education for family business leaders. Having a group of peers whom have dealt with similar issues can help business leaders overcome problems successfully. However, little research exists that examines what factors make these peer groups successful.

The objective of this study is to analyze the conceptual and domain overlap of organizational learning and organizational resilience; specifically, the adaptation or renewal domain in organizational resilience. From the findings, strategies to foster collective learning leading to organizational resilience are identified and outlined.

Recent organizational resilience conceptual models were analyzed to identify the conceptual overlap between the renewal and adaptation domain of organizational resilience and organizational learning. From the analysis of the models, implications were drawn based on the conceptual overlap found in organizational learning and the adaptable or renewal domain of organizational resilience.

To build the renewal or adaptation domain of organizational resilience, organizations must embody learning into a capability. Systems are then required for learning to remain continuous and foster knowledge acquisition, distribution, interpretation, and organizational memory that leads to dynamic capabilities for renewal and adaptation. The learning strategies must then focus renewing what is known in traditional approaches to organizational learning that supports experiential learning, developing systematic approaches to learning, and creating contexts to facilitate organizational learning. When this knowledge is aggregated to an organizational level, it contributes to resilience.

As organizational resilience grows in attention and importance; it is necessary to investigate similarities and conceptual domain overlap. This study contributes to this need and identifies what can be implemented in learning strategies for organizations’ resilience capacity.

The purpose of this research is to achieve multi-task autonomous driving by adjusting the network architecture of the model. Meanwhile, after achieving multi-task autonomous driving, the authors found that the trained neural network model performs poorly in untrained scenarios. Therefore, the authors proposed to improve the transfer efficiency of the model for new scenarios through transfer learning.

First, the authors achieved multi-task autonomous driving by training a model combining convolutional neural network and different structured long short-term memory (LSTM) layers. Second, the authors achieved fast transfer of neural network models in new scenarios by cross-model transfer learning. Finally, the authors combined data collection and data labeling to improve the efficiency of deep learning. Furthermore, the authors verified that the model has good robustness through light and shadow test.

This research achieved road tracking, real-time acceleration–deceleration, obstacle avoidance and left/right sign recognition. The model proposed by the authors (UniBiCLSTM) outperforms the existing models tested with model cars in terms of autonomous driving performance. Furthermore, the CMTL-UniBiCL-RL model trained by the authors through cross-model transfer learning improves the efficiency of model adaptation to new scenarios. Meanwhile, this research proposed an automatic data annotation method, which can save 1/4 of the time for deep learning.

This research provided novel solutions in the achievement of multi-task autonomous driving and neural network model scenario for transfer learning. The experiment was achieved on a single camera with an embedded chip and a scale model car, which is expected to simplify the hardware for autonomous driving.

Drawing on experiential learning theory, this study seeks to understand how the perceived cultural difference in a foreign country and learning flexibility, which enables more integrated experiential learning from international experience, influence expatriates’ cultural intelligence (CQ) and consequently their adjustment and job performance.

Survey data were collected from 169 expatriates in China. Polynomial regression analyses were employed to test curvilinear relationships between cultural difference and CQ and between learning flexibility and CQ. Mediation hypotheses were tested either by the MEDCURVE procedure if a curvilinear relationship was confirmed or by the Haye’s Process procedure if a curvilinear relationship was not confirmed and instead a linear relationship was confirmed.

The results demonstrated a positive relationship between cultural difference and CQ and an inverted U-shape relationship between learning flexibility and CQ. CQ mediated the relationship between cultural difference and expatriate adjustment and partially mediated the relationship between learning flexibility and expatriate adjustment. CQ positively influenced expatriates’ job performance via expatriate adjustment.

Our findings suggest that companies should not hesitate to send expatriates on assignments to culturally very different countries and focus more attention on the selection of expatriates. The findings of this study suggest firms should choose candidates who are moderate or high in learning flexibility and could engage in integrated learning and specialized learning in a more balanced manner.

This research is the first study that examines the influence of learning flexibility on CQ and expatriate effectiveness. It examines cultural difference through the lens of experiential learning theory and argues that cultural difference constitutes “stimuli” in the experiential learning environment for individual learning in an international context. The results advance our knowledge of the role of experiential learning in developing capable global managers.