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Purpose of This Chapter: This research aims to study the need for more age of qualified talent. The evolving corporate needs, education, and curriculum require urgent reform. Current university methods do not align with corporate demands due to outdated content and ineffective pedagogy.

Design / Methodology / Approach: Drawing on established research, this study delves into 7 prominent training strategies across 14 sectors. A survey of 53 HR professionals and managers forms the basis for employing the non-linear best–worst method (BWM) and the Fuzzy BWM to discern the most effective training and development (T&D) modules. This comprehensive methodology ensures a nuanced analysis of T&D practices and insights for businesses seeking to align with Industry 5.0 demands.

Findings: On-the-job training emerges as the most impactful method, followed by case studies, interactive group learning, and more. These methods enhance employee skills in Industry 5.0.

Research Limitations: Limited by a small sample, future research should expand participant diversity for robustness.

Practical Implications: The study holds significance for bridging the skill gap between academic institutions and Industry 5.0. Aligning strategies with industry needs reduces skill disparities, fuels growth, and addresses employability. The study’s impact extends to society, lowering unemployment and shaping a resilient, adaptable workforce for Industry 5.0.

Originality: This innovative research examines decision-making for implementing T&D strategies in the emergence of Industry 5.0, aligning with a human-centric approach to business transformation.

Adverse events in health care became more evident at the beginning of the 21st century, being an emerging problem worldwide and impacting the lives of people receiving health care, contributing to preventable injuries and deaths. This evidence has motivated the development of specific training in the area of patient safety with a strong focus on the education and training of health professionals, and, more recently, it also aimed at patient, informal caregiver and all citizens. In this sense, the use of digital technology for patient safety training has been an important challenge and proves to be a good solution for training and continuous learning, both for professionals and people in general. The use of multimedia, videos, games, simulators, among others, are effectively essential resources to improve people’s health literacy and safety of care.

This chapter presents a narrative review on patient safety training and the contributions of digital technology. The experience report will also be used, presenting some examples of quality improvement projects developed by Portuguese and Brazilian entities, in training contexts, highlighting the importance of investing in the health literacy of professionals, patients/informal caregivers and civil society, through applying specific techniques and using digital technology.

This chapter focuses on a population that I call iron moms: women who negotiate work, family, and endurance sport identities. This research sheds light on how mothers with families, full-time jobs, and other responsibilities fit a high level of endurance training into their lives. Looking at endurance sport through the lens of gender and parenthood helps uncover the unique complexities that iron moms face juggling their multiple identities. Included is an assessment of how iron moms manage their status on the athletic visibility continuum as a process associated with identity construction and maintenance. Based on an analysis of in-depth interviews with 20 active iron mom competitors and textual analysis of triathlon blog postings, this work uncovers the details of how these women attempt to find satisfaction in multiple areas of their lives. This chapter suggests that navigating one's status on the athletic visibility continuum in addition to navigating the complex web of dominant social discourses surrounding motherhood play a critical role in shaping how women craft their existence as an iron mom. Findings stress the value of “me time,” the pervasiveness of “mom guilt,” and the importance of reframing dominant discourses about motherhood.

Entrepreneurial education is gaining traction in Ghana. The purpose of this chapter was to assess the influences of social enterprises in promoting entrepreneurial education, using Ghanaian social enterprises as a case study. The study adopted a qualitative research approach. A multiple case study analysis examined the influences of social enterprises in Ghana. Four in-depth qualitative case studies offer insight into social enterprise practices. Sustainability, innovation, control and employment issues stand out as key effects of Ghanaian social enterprise practices. The social practice theory framework is used to draw the linkages of the structure and agency relationships. Sustainability emerges as the most dominant impact of social enterprise practice followed by innovation, control and employment. These four descriptive terms summarise the universal effects of Ghanaian social enterprises' practices. The study identifies and assesses the role of social enterprises in social entrepreneurial education in addressing social ills and environmental challenges facing Ghana. The emphasis placed on each of the identified four constructs describes the plausible roles of Ghana's social enterprises in achieving productive entrepreneurship through entrepreneurship education. The result shows the pursuit of multiple practices is a common feature of social enterprises. The limitations of the study stem from methodological approach as it is qualitative approach bias and a single country case. Likewise, the subjectivities of the samples direct the results of the study. The study draws the attention of stakeholders and policymakers to the goodwill of social entrepreneurship education in Ghana. Many studies have been conducted on entrepreneurial education in the contextual setting of this study. This present study focused on the practices of social enterprises in Ghana that influences entrepreneurial education.

The development of information technologies has led to a considerable transformation in human resource management from conventional or commonly known as personnel management to modern one. Data mining technology, which has been widely used in several applications, including those that function on the web, includes clustering algorithms as a key component. Web intelligence is a recent academic field that calls for sophisticated analytics and machine learning techniques to facilitate information discovery, particularly on the web. Human resource data gathered from the web are typically enormous, highly complex, dynamic, and unstructured. Traditional clustering methods need to be upgraded because they are ineffective. Standard clustering algorithms are enhanced and expanded with optimization capabilities to address this difficulty by swarm intelligence, a subset of nature-inspired computing. We collect the initial raw human resource data and preprocess the data wherein data cleaning, data normalization, and data integration takes place. The proposed K-C-means-data driven cuckoo bat optimization algorithm (KCM-DCBOA) is used for clustering of the human resource data. The feature extraction is done using principal component analysis (PCA) and the classification of human resource data is done using support vector machine (SVM). Other approaches from the literature were contrasted with the suggested approach. According to the experimental findings, the suggested technique has extremely promising features in terms of the quality of clustering and execution time.

Homelessness has many causes and also is stigmatized in the United States, leading to much misunderstanding of its causes and what policy solutions may ameliorate the problem. The problem is of course getting worse and impacting many communities far removed from the West Coast cities the authors examine in this study. This analysis examines the socioeconomic variables influencing homelessness on the West Coast in recent years. The authors utilize a panel fixed effects model that explicitly includes measures of healthcare access and availability to account for the additional health risks faced by individuals who lack shelter. The authors estimate a spatial error model (SEM) in order to better understand the impacts that systemic shocks, such as the COVID-19 pandemic, have on a variety of factors that directly influence productivity and other measures of welfare such as income inequality, housing supply, healthcare investment, and homelessness.

Toward the construction of a new paradigm in teacher education in a globalized and digitalized society where it is intended to value knowledge and teacher professional development sustained by collaboration and cooperation, training policies and models based on technology-enhanced active learning will be required. This chapter aims to analyze the dimensions that can affect these training models within a new educational paradigm, at the level of professional development and increase of technological skills, collaborative processes for the creation of communities of practice, and promotion of active learning that contribute to innovative hybrid environments and transformative learning. In the Covid-19 post-pandemic, it is crucial to study and mobilize the experiences developed in the educational field exploring how these can be harnessed to build this new educational paradigm. This work aims to contribute with a reasoned reflection and insights concerning learning models and methodologies in teacher education that contribute to transformative active learning. Focusing on the link between preservice and in-service teacher education, the interrelation among teacher education and evaluation, and the construction of innovative technology-enhanced learning environments, for instance through the active training model.

Purpose: This chapter investigates the current skill gap in small-scale industries, the need for skill development and digital training in micro, small, and medium enterprises (MSME), and reviews policies for skill development and solutions.

Need for the Study: While the legislature and organisations have initiated various considerations for the successful implementation of the Skill Development System in the country’s MSMEs, there are significant challenges that must be addressed quickly to fill the skill gap in workers in this digital era.

Research Methodology: Secondary data has been used for the chapter review. Analysis has been done based on review data from women handloom and handicraft workers in the micro or craft industry who received a Star rating from the National Skill Development Corporation (NSDC) partners in Lucknow. For data collection, a questionnaire based on random sampling was used. The data were analysed using a rudimentary weighted average and a percentage technique.

Findings: The studies provide answers to some fundamental problems: are small industry employees indeed mobilised to be skilled outside the official schooling system? Is the training delivery mechanism adequate to prepare pupils for employment? Would industries be willing to reduce minimum qualification criteria to foster skill development?

Practical Implication: Non-technical aptitudes digital and soft skills for workers in this sector should be emphasised in MSMEs, and significant reforms in MSME sectors and capacity-building education and training programmes should be implemented in the Indian industry to generate small and medium enterprises production and employment.