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The purpose of this paper is to provide a review of contemporary perspectives, policies, and practices relating to reported vocational education and training (VET) teacher recruitment and retention challenges, with a particular focus on England and Australia.

This position piece discusses the topic from a transnational perspective by reviewing the relevant literature and examining the impact of policies and practices in England and Australia.

The paper finds that there is a paucity of empirical research relating to VET teacher shortages, but that globally, experience in the sector suggests there are challenges in recruiting and retaining the qualified VET teaching workforce required to address current and future training needs. It recommends that further research is undertaken with an international approach to better understand the problem from the perspective of VET teachers, leaders, and education institutions, and to identify potential solutions.

The paper does not report on empirical research but suggests that further studies are required to better understand the problem and identify potential solutions based on the respective socioeconomic, demographic, and policy contexts.

While there are studies examining VET and VET teaching from the perspectives of quality, reputation, and esteem, few examine the issue and impact of VET teacher shortages, or the challenges of VET teacher recruitment and retention in the contemporary and comparable contexts of Australia and England.

The ripple effect (i.e. disruption propagation in networks) belongs to one of the central pillars in supply chain resilience and viability research, constituting a type of systemic disruption. A considerable body of knowledge has been developed for the last two decades to examine the ripple effect triggered by instantaneous disruptions, e.g. earthquakes or factory fires. In contrast, far less research has been devoted to study the ripple effect under long-term disruptions, such as in the wake of the COVID-19 pandemic.

This study qualitatively analyses secondary data on the ripple effects incurred in automotive and electronics supply chains. Through the analysis of five distinct case studies illustrating operational practices used by companies to cope with the ripple effect, we uncover a disruption propagation mechanism through the supply chains during the semiconductor shortage in 2020–2022.

Applying a theory elaboration approach, we sequence the triggers for the ripple effects induced by the semiconductor shortage. Second, the measures to mitigate the ripple effect employed by automotive and electronics companies are delineated with a cost-effectiveness analysis. Finally, the results are summarised and generalised into a causal loop diagram providing a more complete conceptualisation of long-term disruption propagation.

The results add to the academic discourse on appropriate mitigation strategies. They can help build scenarios for simulation and analytical models to inform decision-making as well as incorporate systemic risks from ripple effects into a normal operations mode. In addition, the findings provide practical recommendations for implementing short- and long-term measures during long-term disruptions.

The purpose of this article is to debut a novel initiative that could potentially optimize resources that are currently constrained but, if unleashed, could help ameliorate the science, technology, engineering and mathematics teacher shortage. The initiative involves the reconceptualization of the National Network for Educational Renewal (NNER) tripartite model, which evolved from the work of Goodlad (1994a) and promotes cooperation and partnerships between the three important players responsible for preparing succeeding generations of competent teachers: PK-12 schools, university colleges of education and university colleges of arts and sciences (Roselle, Hands, Marino, Kilgallen, & Howard, 2021; Goodlad, 1994a).

The approach used in writing the article was narrative, offering a brief review of the various challenges that have had an impact on the national teacher shortage, particularly in the field of mathematics.

The study suggests that a reconceptualized NNER tripartite model can be implemented to assuage the devastating effects of the coronavirus disease 2019 pandemic on learning, offer support to an overworked teacher workforce and provide a possible math teacher recruitment pipeline by forming a life-giving partnership between a college of education, a college of arts and sciences, a local elementary school and undergraduate math club members.

This is an original application of the NNER tripartite model, particularly with math teacher recruitment in mind, and it is hoped that the model will be considered transferable to a variety of school-university contexts. However, additional study is required to explore the validity and replicability of this model.

To evaluate the role of robots, artificial intelligence and service automation in mitigating the labour shortages in tourism and hospitality.

This is a conceptual paper.

Robots, artificial intelligence and service automation have substitution, enhancement and transformational effects on tasks and jobs. The automatability of jobs depends on the automatability of the tasks they include. Cognitive, repetitive, standardised tasks are easier to automate. Tourism jobs with more physical tasks are more difficult to automate.

The paper sheds light on the mechanisms through which tourism and hospitality jobs can be automated to mitigate labour shortages.

This study investigates the roles of technological development, artificial intelligence (AI), and robots in the catering business and their effects on the labor force and staff shortages.

The impact of AI, robots, and technological advancements on the labor force is outlined. Secondary sources and the results of interviews with two highly experienced experts were used to identify the transformation or metamorphosis that affects the staff situation during catering operations. This is an opinion paper that explains why it contains many of the authors’ observations and experiences.

Technological equipment and AI have been used frequently in catering operations, and robots are not grooved. In the near future, these tools could be part of a solution for the staff shortage because, with their help, less-skilled workers could be doing some of the job in the catering business.

The study is written from a limited perspective because of its qualitative nature and the fact that it is shaped by expert opinions and the author's views. It is expected that conducting the same study with a larger number of experts operating in various fields on similar topics in the future will lead to more effective results.

This research character is an opinion paper and qualitative. This research aims to explain the use of artificial intelligence, technological advancements, and robots and to explore their impacts on the labor force based on the opinions of experts and the author. The data obtained are expected to be useful for future labor force planning in catering businesses.

This study provides an exploratory framework regarding staff shortages in catering businesses and the integration of technology, AI and robots.

Based on a literature review, only a limited number of studies have been conducted on the use of technology, artificial intelligence, and robots in kitchens. None of these studies investigated their impact on the labor force. Therefore, this study is both original and valuable.

By aligning the “Small is beautiful” and “Bleak house” theories, this study aims to examine how robotic working patterns affect employees’ working life and job satisfaction (JS) in Bangladeshi-owned ethnic minority businesses.

The study uses information from 40 face-to-face interviews of employees from 20 Bangladeshi restaurants in Greater London.

The findings suggest that workers are treated as “robots”, consistent with the “Bleak house” view of small businesses in this segment of the restaurant and hospitality industry. Owners expect employees to perform multiple tasks, to assume many responsibilities, to work long shifts, without any holiday allowances. Consistent with the “Small is beautiful model”, the findings underscore the lack of written employment contracts and the emergence of acute staff shortages.

The findings can inform owner-managers’ decisions to refine their HR strategies and improve the work conditions of employees in ethnic minority-owned restaurants. The “Small is beautiful” model highlights five key interventions for improving ethnic minority business work quality: recruit employees with first preferences for restaurant jobs, introduce flexible work arrangements, formalise work, improve market research and tackle acute staff shortages.

The study contributes novel insights into the small- and medium-sized enterprises (SMEs) and job quality literature by offering new qualitative-based findings on the negative impact of robotic work patterns on work quality and JS in ethnic minority SMEs.

Artificial intelligence (AI) can assist in the worldwide shortage of cybersecurity workers in technical and managerial roles. Thus, the purpose of this study was to investigate the role of AI in automating many of the routine tasks associated with cybersecurity. As such, AI enables cybersecurity personnel to reduce their workloads and focus on more strategic aspects of their work.

This study is an exploratory field study. The authors started by conducting a literature review to assess the possibility that AI tools can provide and how they can improve cybersecurity efficacy. Following this, the authors identified the specific core tasks for two cybersecurity work roles (technical and managerial) and searched for specific commercial tools that can perform each of the tasks. Then, the authors used the free ChatGPT 3.5 to list the current cybersecurity systems that use AI for the associated tasks, which the authors then reviewed with the tools’ documentation and websites to confirm these tasks were conducted or assisted by AI.

Results indicated that all 14 cybersecurity tasks of the technical work role are currently noted to be performed by commercial cybersecurity systems with AI-integrated capabilities, while only 11 of the 17 managerial work role tasks currently appear to be performed by AI.

The rapid integration of AI capabilities into commercial cybersecurity systems may suggest that the cybersecurity workforce must be currently trained on how to use AI tools in their daily operations, especially as it pertains to technical cybersecurity work roles.

The cybersecurity workforce shortage is reported to exceed four million cybersecurity workers worldwide in 2023. Thus, further understanding of the role of AI in improving the efficiency of technical and managerial cybersecurity tasks is significant.

The value of this research lies in the initial assessment of the current AI capabilities of commercial cybersecurity systems, which will ultimately provide the “super-human” performances resulting from human-AI teaming.

The paper aims to address the increasing issue of teacher shortages and the lack of diversity in America’s educators. Highly diverse communities need ways to support community members interested in careers as teachers. This article explores one promising approach to reach and inspire high school students considering the teaching profession. Camp ExCEL (Exploring Careers in Education and Leadership) provided a pathway allowing rising high school seniors an opportunity to explore the teaching profession. This pathway utilized the Grow Your Own framework, recruiting students from a diverse community and providing them resources and information that would further efforts to become an educator within their community.

The current study examined outcomes from an education summer camp, using qualitative thematic analysis to reflexively interpret participants’ (n = 29) feelings and beliefs about effective teaching, culturally responsive teaching (CRT), project-based learning (PBL) and their camp experience. Data were collected using Google documents and surveys. The four connected themes that emerged were obstacles and barriers to teaching, qualities of an effective teacher, the impact of culturally responsive teaching and project-based learning on classrooms, and the importance of mentorships within education.

The paper provides insight about how an education camp can support high school students as they explore a career in education. Results suggest that focus on high-quality pedagogy can support student understanding of the career. Students also suggested their perception of effective teaching that includes acknowledging the needs of the whole student, modeling high-quality teaching practices and displaying positive professional dispositions.

Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to conduct and examine education camps further.

The paper includes implications for the development of other education camps, especially in areas with highly diverse populations.

This paper fulfills an identified need to increase the number of persons pursuing a career in education. The focus on a highly diverse community is also an area of need in education. This article details the description of an education camp and the curriculum used, along with findings from data collected during the first year.

Corona Virus Disease (Covid-19) is a global pandemic that emerged at the end of 2019 and caused disruptions in global supply chains, particularly in the food supply chains that exposed the vulnerability of today’s food supply chain in a major disruption which provided a unique research opportunity. This review explores the current research direction for food supply chain resilience and identifies gaps for future research in preparing for future major global pandemics.

This article presents a review of food supply chain resilience followed a systematic literature review of the business and management-based studies related to the food supply chain in Covid-19 published between December 2019 and December 2021 to identify the immediate issues and responses that need to be addressed in the event of future disruptions in food supply chains due to new global health threats.

The study revealed the need for more literature on food supply chain resilience, particularly resilience to a major global pandemic. The study also uncovered the sequence of events in a major pandemic and identified some strategies for building resilience to potential future risks of such an event.

The limitations of this study are apparent. Firstly, the selection of databases is not comprehensive. Due to time limitations, authoritative publishers such as Springer, Emerald, Wiley and Taylor & Francis were not selected. Secondly, a single author completed the literature quality testing and text analysis, possibly reducing the credibility of the results due to subjective bias. Thirdly, the selected literature are the studies published during the immediate event of Covid-19, and before January 2022, other research studies may have been completed but were still in the state of auditing at this time.

This paper is the first study that provides a detailed classification of the immediate challenges to the food supply chain faced in both upstream and downstream nodes during a major global disruption. For researchers, this clearly shows the immediate difficulties faced at each node of the food supply chain, which provides research topics for future studies.

This paper proposes a two-level supply chain including suppliers and manufacturers. The purpose of this paper is to design a resilient fuzzy risk-averse supply portfolio selection approach with lead-time sensitive manufacturers under partial and complete supply facility disruption in addition to the operational risk of imprecise demand to minimize the mean-risk costs. This problem is analyzed for a risk-averse decision maker, and the authors use the conditional value-at-risk (CVaR) as a risk measure, which has particular applications in financial engineering.

The methodology of the current research includes two phases of conceptual model and mathematical model. In the conceptual model phase, a new supply portfolio selection problem is presented under disruption and operational risks for lead-time sensitive manufacturers and considers resilience strategies for risk-averse decision makers. In the mathematical model phase, the stages of risk-averse two-stage fuzzy-stochastic programming model are formulated according to the above conceptual model, which minimizes the mean-CVaR costs.

In this paper, several computational experiments were conducted with sensitivity analysis by GAMS (General algebraic modeling system) software to determine the efficiency and significance of the developed model. Results show that the sensitivity of manufacturers to the lead time as well as the occurrence of disruption and operational risks, significantly affect the structure of the supply portfolio selection; hence, manufacturers should be taken into account in the design of this problem.

The study proposes a new two-stage fuzzy-stochastic scenario-based mathematical programming model for the resilient supply portfolio selection for risk-averse decision-makers under disruption and operational risks. This model assumes that the manufacturers are sensitive to lead time, so the demand of manufacturers depends on the suppliers who provide them with services. To manage risks, this model also considers proactive (supplier fortification, pre-positioned emergency inventory) and reactive (revision of allocation decisions) resilience strategies.