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The purpose of this paper is to identify the barriers that higher education (HE) work-based learners face when constructing experiential learning claims through reflective narratives.

A survey of 38 part-time, HE undergraduate work-based learners was conducted. A questionnaire was designed comprising Likert scale and open ended questions to capture students’ experiences of constructing experiential learning claims.

The study found that students experience several learning barriers including the diversity and complexity of reflective learning models, the solitary nature of reflective learning, problems articulating tacit knowledge in writing, emotional barriers to reflective learning, accurately recalling “historic” learning experiences and difficulties in developing the meta-competence of learning to learn.

Consideration should be given to assisting learners to develop the skills necessary to select and use reflective learning models that best fit particular experiential learning contexts. Learners should be encouraged to undertake group reflection in the classroom and in the workplace to enable them to write critical reflective narratives that have integrity. There should be less reliance on written reflective narratives to evidence tacit knowledge with consideration given to other methods such as practical demonstrations, videos presentations and interviews.

The study contributes to knowledge of the barriers that students face when constructing experiential learning claims through reflective narratives. It proposes an outline pedagogical scaffolding framework to assist learners to develop recognition of prior learning (RPL) claims to enable them to maximise opportunities for claiming credits through universities RPL processes.

World Health Organizations (WHO) (2023) states that governments and employers have a responsibility to uphold that right by providing work that simultaneously prevents workers from experiencing excessive stress and mental health risks. The business environment continues to produce a lot of stress on workers, which includes internal pressures to achieve results and employees suffer the consequences. Some companies have turned to mindfulness as a technique that helps mitigate these consequences and have joined Kaizen as a process improvement technique in the work environment. Therefore, this study has a research purpose: “to comprehend the possible linkage between Kaizen philosophy from an individual perspective, with Mindfulness ZEN Buddhism technique to understand the individual benefit (well-being) of each employee in organizations.” The answer to this represents the research gap in this article. The research questions governing this study are as follows: RQ1: Does Mindfulness is used as Kaizen technique of personal-individual improvement in 21st-century organizations? RQ2: What elements and characteristics of Kaizen and mindfulness can be found working together? And RQ3: Which qualitative impact of mindfulness and Kaizen in the workplace outcome (well-being, performance of the job (process)) and relationships with other employees)?

This research used a qualitative approach due to the recent phenomenon studied. In a certain way, it was used a mixed-method (combination of qualitative data – web search secondary data analysis and qualitative research-Convergence Model). First, it was done an intensive web search with the aim to identify companies' corporate mindfulness programs, along with companies which have applied mindfulness and Kaizen programs. It was identified a group of big companies with global and international presence (“famous” for their products and services) in diverse industrial and service sectors, country of origin and business locations; with the purpose of getting a holistic vision of all organizations which have practice Kaizen and mindfulness. Therefore, this study explored secondary data related to both practices, analyzing reports or briefings published in management magazines and official WEB pages and/or business magazines.

As a result of the triangulation of the data with its secondary data convergence model and qualitative research, a theoretical framework was reached that shows the benefits of the two combined twin techniques of Kaizen and mindfulness. The worker experiences a path that goes from concentrating on the execution of their processes, following their operating standards (Standardize, Do, Check, Act [SDCA] cycle), going through the evolution to continuous improvement or Plan-Do-Check-Act (PDCA) cycle, experiencing work with concentration-awareness and reducing your daily stress, maintaining high sensitivity to the work process and your environment and finally, discovering an essential life purpose. Finally, worker experiences benefit when there is wide application of both with the SDCA and PDCA cycles such as high motivation, constant learning from your mistakes, day-to-day learning and the Munen Musso (not using the mind).

The main limitation is the qualitative methodological bias and secondary data research. In addition, to have a theoretical sample. However, the richness of the data helps to overcome this limitation. On the other hand, the qualitative research interviews are for a certain geographical area, therefore, the results cannot be generalized.

The results of this research can shed light on operations managers in the use of techniques for continuous improvement and improvement of people's quality of life, such as mindfulness. In Mexico, they are beginning to be used jointly (twin techniques) to comply with Regulation 035 of psychosocial risk, the researchers are sure that in other countries it will be used in the same way to comply with regulations. However, the research findings show the benefits that can be provided to workers in organizations by applying Kaizen and Mindfulness together.

To the best of the authors’ knowledge, according to the literature review, this is the first article that explores the relationship between Kaizen and Mindfulness as twin techniques that help improve the individual quality of life of employees in organizations.

Utilising data from 18 in‐depth case studies, this study seeks to explore training, development and human resource development (HRD) practices in European call centres. It aims to argue that the complexity and diversity of training, development and HRD practices is best understood by studying the multilayered contexts within which call centres operate. Call centres operate as open systems and training, development and HRD practices are influenced by environmental, strategic, organisational and temporal conditions.

The study utilised a range of research methods, including in‐depth interviews with multiple stakeholders, documentary analysis and observation. The study was conducted over a two‐year period.

The results indicate that normative models of HRD are not particularly valuable and that training, development and HRD in call centres is emergent and highly complex.

This study represents one of the first studies to investigate training and development and HRD practices and systems in European call centres.

Knight's Industrial Law Reports goes into a new style and format as Managerial Law This issue of KILR is restyled Managerial Law and it now appears on a continuous updating basis rather than as a monthly routine affair.

The focus of this study was to analyze crisis management in a context of high-reliability organizations (HRO) evidenced in two cases of Brazilian air disasters. Aspects of human and technological natures were examined, addressing the complex sociotechnical system.

This in-depth case study addressed the two most serious air disasters on Brazilian territory. The first case involved a midair collision between Gol Flight 1907 and the Legacy jet. In the second case, TAM flight 3054 had difficulty braking when landing at the airport and crashed into a building. Data were collected from official disaster documents.

The results revealed that the management and operational activities aimed to maintain the necessary conditions that prioritize a high level of reliability. High reliability mainly involves concern over failure, reluctance to accept simplified interpretations, sensitivity to operations, commitment to resilience and detailed structure specifications.

The implications are based on alerting highly reliable organizations, emphasizing the focus on managing more reliably, resiliently and conscientiously. Changes will be required in the operations of organizations seeking to learn to manage unexpected events and respond quickly to continually improve the responsiveness of their services.

In the perspective of an intrinsic case study for crisis management in a context of HRO and disaster risk management, the originality of this study lies in its examination of the paradoxical nature of control within the systems of dangerous operations in complex organizations, as well as their contradictions in a high-reliability system.

There has been a growing concern about air quality because in recent years, industrial and vehicle emissions have resulted in unsatisfactory human health conditions. There is an urgent need for the measurements and estimations of particulate pollutants levels, especially in urban areas. As a contribution to this issue, the purpose of this paper is to use data from measured concentrations of particulate matter and meteorological conditions for the predictions of PM₁₀.

The procedure included daily data collection of current PM₁₀ concentrations for the city of São Carlos-SP, Brazil. These data series enabled to use an estimator based on artificial neural networks. Data sets were collected using the high-volume sampler equipment (VFA-MP10) in the period ranging from 1997 to 2006 and from 2014 to 2015. The predictive models were created using statistics from meteorological data. The models were developed using two neural network architectures, namely, perceptron multilayer (MLP) and non-linear autoregressive exogenous (NARX) inputs network.

It was observed that, over time, there was a decrease in the PM₁₀ concentration rates. This is due to the implementation of more strict environmental laws and the development of less polluting technologies. The model NARX that used as input layer the climatic variables and the PM₁₀ of the previous day presented the highest average absolute error. However, the NARX model presented the fastest convergence compared with the MLP network.

The presentation of a given PM₁₀ concentration of the previous day improved the performance of the predictive models. This paper brings contributions with the NARX model applications.

At the outset, though, and before brief summaries of each of these cases are presented, it is important to underscore two key points that guide the organization of the entire volume. First, capital mobility is a complex phenomenon that assumes various forms as different types of capitals move at different velocities. Second, capital mobility is a necessary and irreplaceable component of capitalism. As for the first aspect, we will consider three types of capital: financial capital, productive capital, and labor. Obviously, these three forms of capital are endowed with different features that affect their behaviors and their ability to move through time and space. While all these three forms of capital share the common requirement that they need to be utilized in increasingly accelerated manners if capital accumulation had to expand, they also display tendencies that favor financial and productive capital and subordinate labor. If effect, the subordination of labor to financial and productive capital is one of the primary characteristics of globalization and one item that allowed the rapid expansion of capital accumulation over the last two decades.