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This paper presents a Monotonic Unbounded Schemes Transformer (MUST) approach to bound/monotonize (remove undershoots and overshoots) unbounded spatial differencing schemes automatically, and naturally. Automatically means the approach (1) captures the critical cell Peclet number when an unbounded scheme starts to produce physically unrealistic solution automatically, and (2) removes the undershoots and overshoots as part of the formulation without requiring human interventions. Naturally implies, all the terms in the discretization equation of the unbounded spatial differencing scheme are retained.

The authors do not formulate new higher-order scheme. MUST transforms an unbounded higher-order scheme into a bounded higher-order scheme.

The solutions obtained with MUST are identical to those without MUST when the cell Peclet number is smaller than the critical cell Peclet number. For cell Peclet numbers larger than the critical cell Peclet numbers, MUST sets the nodal values to the limiter value which can be derived for the problem at-hand. The authors propose a way to derive the limiter value. The authors tested MUST on the central differencing scheme, the second-order upwind differencing scheme and the QUICK differencing scheme. In all cases tested, MUST is able to (1) capture the critical cell Peclet numbers; the exact locations when overshoots and undershoots occur, and (2) limit the nodal value to the value of the limiter values. These are achieved by retaining all the discretization terms of the respective differencing schemes naturally and accomplished automatically as part of the discretization process. The authors demonstrated MUST using one-dimensional problems. Results for a two-dimensional convection–diffusion problem are shown in Appendix to show generality of MUST.

The authors present an original approach to convert any unbounded scheme to bounded scheme while retaining all the terms in the original discretization equation.

By virtue of affecting how people perceive and respond to challenges, mindsets are conceivably consequential for, though relatively under-studied, in careers research. This paper thereby highlights the importance of bridging the mindsets and careers literature.

I review literature describing the ontology of mindsets, before reviewing what is currently known about mindsets in the careers domain. This is followed by theorizing about mindset dynamics in pressing career challenges, and providing avenues for future research.

I outline some of the major implications of fixed and growth mindsets as they (potentially) relate to career-relevant cognitions, emotions and behaviors. I also formulate an agenda for future research with regard to what we study, who we study and how we, as scholars, can study mindsets in careers.

This review enables looking back on the state of mindsets and careers research. The theorizing herein about mindset dynamics in careers also invites scholars to look toward exciting research possibilities about how mindsets can shape careers in ways not yet realized.

This research aims to investigate post-forest fire perceptions of businesses towards the environment as a stakeholder. Through interviews with affected businesses, the authors aim to understand whether disasters prompt sustainability prioritisation beyond legal or market demands, shedding light on potential shifts in environmental attitudes and decision-making processes.

The authors used qualitative methods to investigate post-disaster shifts in environmental perceptions. Using site visits, preparatory meetings and semi-structured interviews between October 2017 and April 2021, the authors gained insights into destruction, recovery efforts and stakeholder perspectives. Content analysis provided valuable decision-making insights, particularly in understanding the landscape dominated by SMEs reliant on short-term strategies.

Interviews revealed varied perspectives on stakeholder recognition, especially concerning the natural environment. Although some managers promptly acknowledged stakeholder groups, the recognition of the natural environment as one varied. Concerning the natural environment as a stakeholder, responses ranged from ecological acknowledgment to denying its stakeholder status. Despite differing views, many agreed on the forest's importance, especially for resource-reliant industries. The findings suggest that although many decision makers verbally acknowledge the natural environment as a stakeholder, their actions reveal the opposite.

The limitations are the COVID-19 pandemic in the data research phase. The methodology applied (qualitative) can be a limitation in itself and the authors recommend further research, applying mixed or quantitative methods. The research covers one event in one country. It is relevant to test our questions and conclusions in other countries/after other natural disasters. Incorporating other stakeholders' views and exploring alternative theories could enhance understanding and challenge existing results.

This study holds practical implications for understanding the relationship between organisations and the natural environment, particularly in recognising it as a stakeholder. By acknowledging the environment as a stakeholder, organisations can mitigate the effects of future natural disasters, as well as reducing their environmental footprints. Implementing these insights can lead to more informed decision-making processes and contribute to more effective resources and stakeholder management.

Recognizing the environment as a stakeholder fosters environmental consciousness and community engagement. Addressing the natural environment as such enhances the ownership and responsibility of the surrounding natural environment.

The study's originality lies in its exploration of organisational responses to natural disasters, particularly in recognizing the environment as a stakeholder. It offers unique insights into decision-making processes and attitudes towards environmental responsibility, contributing to advancing understanding and informing strategies for sustainable disaster management on a global scale.