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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.

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 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.

Academic institutions, for the most part, discontinued face-to-face classes in favor of adopting and deploying online learning modalities that allowed for immediate participation. The pandemic has hastened the pace of implementation as well as the utilization of and reliance on technology. Artificial intelligence (AI) is important for higher education business continuity. Currently, some institutions are utilizing these resources to strengthen their student recruitment and retention efforts. Others use them to make the classroom more accessible or to construct tailored learning programs.

The rapid spread of the deadly COVID-19 pandemic in early 2020 has compelled many countries to enact stringent measures to halt the virus’s spread. The pandemic has hastened the adoption of online teaching and remote work technology. While a combination of online and face-to-face learning is the way of the future, it will necessitate additional resources to support program development and delivery, as well as increased collaboration between IT and subject matter experts.

This successful technological integration, which includes a smooth transition from face-to-face training to digital e-courses, provides a variety of benefits, including money saved on travel expenses. Top technological developments will continue to enhance company innovation and efficiency while also improving service efficiency. The top strategic technology trends for this year fall into three categories: human centricity, location independence, and resilient delivery, and are expected to be significant for the next five to ten years. Higher Education Institutions (HEIs) will need to establish a technological ecosystem that is dependable, cloud-based, data-integrated, and learning-focused to compete successfully in this “new normal.” After the epidemic, when classes resume on campus, a hybrid approach to virtual learning is likely to become the new normal. While it is unlikely that campuses would be totally virtual, they will also be unlikely to be entirely physical.

A blend of actual and virtual classrooms, as well as online learning, is the long-term solution, and strategic decisions made now will be critical in preparing for a post-pandemic world.

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.

The purpose of this study is to identify the impact of online learning on university librarians’ professional development and library services.

A mixed-methods study through an explanatory research design was applied to address the study’s objectives. Quantitative data were gathered from 341 librarians working in 221 universities, while qualitative data were gathered from 27 experts working in 21 different universities of Pakistan.

The findings of the study revealed that online learning has a significant positive impact on the professional development of university librarians. Results revealed that online learning assists in the provision of sustainable, innovative library services in university libraries.

The study has offered a model in light of the study's quantitative and qualitative findings. It contributes to theoretical understanding by expanding the existing knowledge base. It offers managerial insights, enabling the development of policies that foster the professional development of library personnel and the implementation of smart library services.

This paper aims to further our understanding of policy–practice gaps in organizations from an organizational learning perspective. The authors conceptualize and analyze policy–practice gaps in terms of what they label the dual challenge of organizational learning, i.e. the organizational tasks of both adapting ongoing practices to prescribed policy demands and adapting the policy itself to the needs of practice. Specifically, the authors address how this dual challenge can be understood in terms of organizational learning and how an organization can be managed to successfully resolve the dual learning challenge and, thereby, bridge policy–practice gaps in organizations.

This paper draws on existing literature to explore the gap between policy and practice. Through a synthesis of theories and an illustrative practical example, this paper highlights key conceptual underpinnings.

In the analysis of the dual challenge of organizational learning, this study provides a conceptual framework that emphasizes the important role of tensions and contradictions between policy and practice and their role as drivers of organizational learning. To bridge policy–practice gaps in organizations, this paper proposes five key principles that aim to resolve the dual challenge and accommodate both deployment and discovery in organizations.

Because this is a conceptual study, empirical research is called for to explore further and test the findings and conclusions of the study. Several avenues of possible future research are proposed.

This paper primarily contributes by introducing and elaborating on a conceptual framework that offers novel perspectives on the dual challenges of facilitating both discovery and deployment processes within organizations.