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The purpose of this conceptual paper is to increase the clarity and application of the original model and integration table. Specifically, the intent was to increase clarity by highlighting elements left out of the original article (sentence frames), adding additional information on the medium of leadership practice through the addition of Bolman and Deal's leadership lessons, and improving the flow and structure of leader steps as leaders move across the model in the leader sequence of events. Finally, the model was tweaked to adjust the political frame across both direction-giving and empathetic language based on participant feedback and a literature review.

The approach of this conceptual paper is to continue the evolution of the integration of the Four-Frames and Motivating Language Theory (MLT) first presented in DLO in 2019 using updated literature from Bolman and Deal (2019, 2021) and feedback from real-world implementation of the contents from the original article.

The findings of this conceptual paper are in two forms. First, the Version 2.0 integration model illustrates greater clarity and an improved sequence for implementation by leaders to address the pressing issues they face. Second, the illustration of the sentence frames and their evolution from the original article (2019) to the current paper highlights the power and integration of the Four-Frames and Motivating Language Theory regarding their versatility and utilization as a critical thinking and teaching tool for leaders and organizations.

For practitioners, this conceptual paper provides additional information on how to implement the Four-Frames as leaders through the power and influence of leadership communication and action.

The value of the Version 2.0 integrated model continues to leverage the combination of the Four Frames and Motivating Language Theory, which is still unique in the research. This evolution of the integration creates greater clarity in terms of understanding and utilizing leadership, connecting and sequencing the Four-Frames and MLT together, and applying the Four-Frame(s) accurately. This article continues to extend the field of Motivating Language Theory and addresses a gap in the work of the Four Frames – communication.

Comparative analyses in education science have traditionally focused on the category of geographic location as the comparative unit. However, comparison may involve many other units of analysis, such as culture, politics, curricula, education systems, social phenomena, and other categories of the lives of societies. Still, categories are inseparably linked to one or several geographic locations. Comparative approaches are often also dictated by the availability heuristic. Studying geographic units as the foci of comparative research is a necessary step for comparative presentation of the topic. According to Bray and Thomas, a researcher must always seek preliminary insight in the geographic unit to be analyzed before making the comparison. In social science research, a unit of analysis relates to the main object of the research, as it answers the question of “who” or “what” is going to be analyzed. The most common units of analysis are people, groups, organizations, artifacts or phenomena, and social interactions. Ragin and Amoroso have noted that comparative methods can be used to explain the commonness or diversity of results. This paper shows how comparative research can be approached in ways that have not been discussed, grounded in the historically variable understanding of the very term “comparison.” They are, for example, The Ogden-Richards triangle, The Porphyrian Tree, Classification strategies – Mill’s Canons, The chaos of the world – the order of science, Weber’s ideal types, Raymond Boudon’s formula, and the Möbius strip in comparativism.

This study aims to investigate academic integrity considerations of Generative Pre-Trained Transformer (ChatGPT) usage in assessment activities among the finalist student teachers at the University of Dar es Salaam. The study builds upon other previous studies on the topic of artificial intelligence (AI) tools. However, it is unique in terms of its context and the focus on integrity.

A questionnaire was used to collect data from 383 finalist student teachers, and other 30 students were involved in focus group discussions (FGDs). Data for this study were analysed using IBM-SPSS Statistics Versions 25 to obtain descriptive statistics for the quantitative part and thematic analysis was used along with QDA Miner Lite for the qualitative part to generate themes.

Student teachers consider ChatGPT as a transformative AI technology to ease the accomplishment of their assessment tasks. However, a large percentage of them did not pay much attention to academic integrity while using the AI tool. About 199 (52%) out of 383 respondents said ChatGPT is a useful tool in generating answers for their assessment tasks compared to 192 (50.1%) of respondents who had negative opinions.

Given the sensitivity of the topic on academic integrity some participants were hesitant to share information until when the researchers clarified the purpose of the study. Participants were told that the information they would provide was purely for academic purpose. Also, this study was conducted when students’ regular classes were in progress, such that it was challenging to set universal time to conduct FGDs where all intended participants could attend. The researcher was flexible enough to find hours which were conducive for participants to participate in FGDs.

For practitioners, given the fact that ChatGPT is a relatively new AI tool, training for raising awareness of its use should be conducted. Besides, specific academic integrity guidelines for its ethical use should be formulated and implemented. Likewise, instructors should set questions that prompt students original thinking which the AI tool cannot easily give contextualized solutions.

The university where the AI tool is used is an open system that is within the society, and the impacts of AI technologies are inevitable in social domains. The society, therefore, should be informed about the emerging AI tools with their associated potentials and shortcomings to safeguard the norms and interests of the society.

The study provides a comprehensive overview of student teachers’ ChatGPT use and its implication on academic integrity. Given the novelty nature of ChatGPT use in education, course instructors and students may benefit from insights into responsible utilization of this AI technology without compromising integrity and quality of education.

Drawing on a theoretical framework of sustainable career ecosystem theory, our paper aims to consider how domestic and international postgraduates can enhance their employability through participation in a landscape of practice.

The study employed an exploratory, longitudinal case study design to capture students' lived experiences on an 18-month Master of Professional Practice course at a higher education institution in New Zealand. The data collection procedure involved field note observations (months 1–4), a focus group (month 13) and narrative frames (months 16–18). The sample was domestic students from New Zealand (n = 2) and international students from Asia (n = 5).

One’s participation in multiple communities of practice represents their landscape of practice and a commitment to lifewide learning. Through participation in various communities of practice, domestic and international students can enhance their employability in three ways: (1) boundary encounters to develop social capital, (2) transcending contexts to enhance cultural capital, and (3) acknowledging the development of psychological capital and career agency.

Our work offers one of the earliest empirical validations of sustainable career ecosystem theory. Expressly, communities of practice represent various contexts whereby employability capital is developed over time. Additionally, the postgraduate students themselves are portrayed as interconnected and interdependent actors, presenting a novel framing of such dependencies at the micro-level of the ecosystem. The practical implications come from informing universities of the value of a landscape of practice to enhance the employability of domestic and international students in preparation for sustainable careers and to promote the sustainability of the career ecosystem.

As artificial intelligence and machine learning become increasingly integrated into daily life, both individuals and institutions are growing dependent on these technologies. However, it's crucial to acknowledge that such advancements can introduce potential flaws or vulnerabilities. A case in point is the investigation conducted by the non-profit organization ProPublica into the COMPAS (Correctional Offender Management Profiling for Alternative Sanctions) risk assessment tool – a tool widely used by US courts to assess the likelihood of a defendant reoffending. To address the issue of underlying biases, including racial biases, which can lead to inaccurate predictions and significant social harm, we are delving into the current literature on algorithmic bias in decision systems. We are also exploring the evolving considerations of fairness and accountability in machine learning. Specifically, within the realm of predictive policing algorithms employed in the criminal justice system, our focus is on recent studies aimed at mitigating biases in algorithmic decision-making. This involves reassessing recidivism rates and implementing adversarial debiasing in conjunction with fairness metrics.

Additive manufacturing offers the ability to produce complex, flexible structures from materials like thermoplastic polyurethane (TPU) for energy-absorption applications. However, selecting optimal structural parameters to achieve desired mechanical responses remains a challenge. This study aims to investigate the influence of key structural characteristics on the energy absorption and dissipation behavior and the deformation process of 3D-printed flexible TPU line-oriented structures.

Samples with varying line orientations and infill densities were fabricated using material extrusion and subjected to quasi-static compression tests. The design of experiments methodology explored the significance of design variables and their interaction effects on energy absorption and dissipation.

The results revealed a statistically significant interaction between infill density and orientation, highlighting their combined influence; however, the effect was less pronounced compared to infill density alone. For low-density structures, changing the orientation from 0°/90° to 45°/−45° and increasing infill density enhanced energy absorption and dissipation, while high-density structures exhibited unique energy absorption behavior influenced by deformation patterns and heterogeneity levels. This study facilitates the prediction of mechanical responses and selection of suitable TPU line-oriented printed parts for energy absorbing applications.

To the best of the authors’ knowledge, the present work have investigated for the first time the energy-related responses of flexible line-oriented TPU structures highlighting the distinction between the low and high density structures.

Colonial epistemes distort ideologies through power structures and control, perpetuating differences and the development of an inferior status. This study aims to serve dual purposes: Firstly, the authors advocate for Pacific and international business (IB) researchers to consider adopting inclusive research practices, particularly regarding Pacific and indigenous populations. Secondly, the authors argue that decolonization presents conflicting challenges, demonstrating that the authors still have a long way to go regarding the decolonization agenda within academia, the university, IB and broader society.

An essay style is adopted to introduce inclusive Pacific research practices specific to the Pacific context, what that looks like and the advantages of using culturally appropriate methods.

This paper highlights some examples that justify why Pacific methods should be used, such as spirituality and prayers underpinned by the va (i.e. relational spaces) – a concept well-known in Pacific cultures but missing in Western academic frameworks, models and approaches. Additionally, the authors found that the endeavours to be inclusive can paradoxically lead to exclusion and marginalization within academia, the university and popular mainstream media.

This paper enriches IB theory and pedagogy by advocating for the co-creation of inclusive research practices in collaboration with Pacific and indigenous communities. It contributes to the broader movement to restore indigenous knowledge and scholarship research spaces.

The originality and value of the viewpoint lie in its potential to stimulate conversations and reflections among IB researchers regarding inclusive research practices of decoloniality. Thereby strengthening the “trumpet-shell” call to decolonize the field and academia, which IB as a discipline should not be immune to.

This paper presents the findings of assessing the strategies required for improved work-life balance (WLB) of construction workers in Eswatini. This was done to improve the work-life relationship of construction workers and, in turn, improve the service delivery of the construction industry in the country.

The study adopted a quantitative research approach using a questionnaire administered to construction professionals in the country. The data gathered were analysed using frequency, percentage, Mann–Whitney U test, exploratory and confirmatory factor analysis (CFA).

The findings revealed that the level of implementation of WLB initiatives in the Eswatini construction industry is still low. Following the attaining of several model fitness, the study found that the key strategies needed for effective WLB can be classified into four significant components, namely: (1) leave, (2) health and wellness, (3) work flexibility, and; (4) days off/shared work.

The findings offer valuable benefits to construction participants as the adoption of the identified critical strategies can lead to the fulfilment of WLB of the construction workforce and by extension, the construction industry can benefit from better job performance.

This study is the first to assess the strategies needed for improved WLB of construction workers in Eswatini. Furthermore, the study offers a theoretical platform for future discourse on WLB in Eswatini, a country that has not gained significant attention in past WLB literature.