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For decades, conflict resolution (CR) educators working cross-culturally have struggled with a fundamental dilemma – whether to offer western, evidence-based approaches through a top-down (prescriptive) training process or to use a bottom-up (elicitive) strategy that builds on local cultural knowledge of effective in situ conflict management. This study aims to explore which conditions that prompted experienced CR instructors to use more prescriptive or elicitive approaches to such training in a foreign culture and the implications for training outcomes.

There are two parts to this study. First, the authors conducted a literature review to identify basic conditions that might be conducive to conducting prescriptive or elicitive cross-cultural CR training. The authors then tested the identified conditions in a survey with experienced CR instructors to identify different conditions that afforded prescriptive or elicitive approaches. Exploratory factor analysis and regression were used to assess which conditions determined whether a prescriptive or elicitive approach produced better outcomes.

In general, although prescriptive methods were found to be more efficient, elicitive methods produced more effective, culturally appropriate, sustainable and culturally sensitive training. Results revealed a variety of instructor, participant and contextual factors that influenced whether a prescriptive or elicitive approach was applied and found to be more suitable.

This study used empirical survey data with practicing experts to provide insight and guidance into when to use different approaches to CC-CR training effectively.

As data centres grow in size and complexity, traditional air-cooling methods are becoming less effective and more expensive. Immersion cooling, where servers are submerged in a dielectric fluid, has emerged as a promising alternative. Ensuring reliable operations in data centre applications requires the development of an effective control framework for immersion cooling systems, which necessitates the prediction of server temperature. While deep learning-based temperature prediction models have shown effectiveness, further enhancement is needed to improve their prediction accuracy. This study aims to develop a temperature prediction model using Long Short-Term Memory (LSTM) Networks based on recursive encoder-decoder architecture.

This paper explores the use of deep learning algorithms to predict the temperature of a heater in a two-phase immersion-cooled system using NOVEC 7100. The performance of recursive-long short-term memory-encoder-decoder (R-LSTM-ED), recursive-convolutional neural network-LSTM (R-CNN-LSTM) and R-LSTM approaches are compared using mean absolute error, root mean square error, mean absolute percentage error and coefficient of determination (R²) as performance metrics. The impact of window size, sampling period and noise within training data on the performance of the model is investigated.

The R-LSTM-ED consistently outperforms the R-LSTM model by 6%, 15.8% and 12.5%, and R-CNN-LSTM model by 4%, 11% and 12.3% in all forecast ranges of 10, 30 and 60 s, respectively, averaged across all the workloads considered in the study. The optimum sampling period based on the study is found to be 2 s and the window size to be 60 s. The performance of the model deteriorates significantly as the noise level reaches 10%.

The proposed models are currently trained on data collected from an experimental setup simulating data centre loads. Future research should seek to extend the applicability of the models by incorporating time series data from immersion-cooled servers.

The proposed multivariate-recursive-prediction models are trained and tested by using real Data Centre workload traces applied to the immersion-cooled system developed in the laboratory.

There is emerging evidence in the accounting literature that investors react negatively to corporate greenwashing. But does that hold for all investors, or do different types of investors react differently? This paper aims to study retail investors’ responses to media reports on corporate greenwashing and how these responses depend upon the investors’ social value orientation. The authors argue that media reporting on corporate greenwashing negatively affects the rationale for allocating funds to firms engaging in greenwashing. The authors also expect this reaction to be stronger for prosocial investors compared to proself investors.

The authors conduct an online experiment with 229 participants representing retail investors in the German-speaking countries.

The results show that retail investors who received media reports on deceptive disclosure invest more funds in the company that does not engage in greenwashing (and less in the firm that engages in greenwashing) than investors who did not receive these reports. The authors’ results provide novel evidence that this effect primarily holds for investors with a prosocial value orientation. Finally, the authors’ data show that lower trust in the firm that engages in greenwashing partially mediates the effect of media reports on investor choices.

The authors provide unique evidence how different types of investors react to media reports on greenwashing. The authors find that moral motives, rather than risk-return considerations, drive investor responses to greenwashing. Overall, these findings support the important function of the media as an intermediary in stock market participation and highlight the pivotal role of individual traits in investors’ responses to greenwashing.

L'objectif visé est de nourrir les réflexions sur la colonisation du futur dans le présent en mettant particulièrement l’accent sur le continent africain. Nous visons à explorer comment la recherche participative, et plus particulièrement la recherche-action anticipatoire, peut contribuer au processus de décolonisation effective.

Considérant le futur comme un bien public, nous mobilisons une réflexion sur les processus coloniaux qui l’ont transformé, à bien des égards, en bien de club ou en bien privé. Nous faisons ensuite appel aux notions de production participative de connaissances et de recherche-action locale comme moyens de décoloniser le futur et de libérer l'imagination. Nous revisitons ensuite les principes de la recherche-action participative pour atteindre cet objectif et nous examinons les principales caractéristiques d'une recherche-action anticipatoire non coloniale dans le contexte des futurs de l'Afrique.

Nous mettons en évidence les défis issus de la relation entre les efforts d'anticipation axés sur la recherche-action, la création d'une intelligence collective et la co-conception (codesign), dans le but d'encourager le processus de décolonisation. Cette démarche inclut des principes de conception, établit les bases pour un processus anticipatoire, potentiellement décolonial et envisage une possible réaction du système dominant à l’encontre de ce processus de décolonisation.

Il s’agit d’un travail conceptuel, qui ne fournit pas d’éléments testés sur le terrain. Toutefois, nous espérons que cela constituera un apport permettant de concevoir des méthodologies qui préviendront la colonisation du futur lors de la participation à des activités de recherche tournées vers les futurs en Afrique et ailleurs.

Nous proposons une approche intégrale de la colonisation du futur, comme renouvellement d’une question ancienne. Nous articulons également cette démarche autour d’une réflexion sur la nature de ce que pourrait être une recherche-action anticipatoire décoloniale.

Williams and Williams (2012, 2017) find multiple entrepreneurial motivations are experienced by entrepreneurs in deprived areas at different points in time. Drawing on this prior work this study aims to explore how and why the shifted motivations evolve, as well as, what factors cause this change in deprived areas. The work draws upon temporal motivational theory (TMT) that considers the influence of individuals' needs in determining their time-sensitive motivation.

Six semi-structured interviews with actual entrepreneurs are used to collect qualitative data from deprived areas of Nottingham, which is one of the most deprived cities in the UK. The study employs Interpretative Phenomenological Analysis (IPA) to consider each entrepreneurial endeavour as a unique journey to investigate the shifting of motivations.

A polarization is found in terms of how entrepreneurial motivations evolve in deprived areas. In considering the first task-specific entrepreneurial motivation, time plays a role either in accumulating job dissatisfaction and increasing confidence led by accumulated experience, or in creating random chances that enable individuals to realize that they are able to use existing skills and experiences to start a business. Regarding the second task-specific entrepreneurial motivation when the business becomes more established, it is usually stimulated by increased confidence based on perceived progress. The use of self-help methods and downward comparison found in this study should be noted as they help to re-consider individuals' needs in deprived areas.

This study produces a more comprehensive understanding of the phenomenon of the time effect on shifted motivation at different entrepreneurial phases in a deprived context, which contributes to enrich theoretical knowledge and raise policymakers' awareness of entrepreneurial motivations from these marginalized groups.

Researcher agreed that job performance has a positive effect on productivity as well as an organisation’s efficiency. Thus, this study aims to investigate the impact of mindfulness skill, inclusive leadership (IL), employee work engagement and self-compassion on the overall job performance of secondary school teachers in Hong Kong. It then evaluates the mediating effect of employee work engagement between the relationships of mindfulness skill, IL and job performance, as well as the moderate effect of self-compassion between the relationships of mindfulness skill, IL and employee work engagement.

The sample comprised 263 teachers working from three secondary schools in Sha Tin, Hong Kong. The data was then analysed using Smart PLS version 4.0.9.

The results showed significant positive relationships between mindfulness skill and IL towards employee work engagement and between employee work engagement and job performance; meanwhile, there emerged a significant effect on the relationship between mindfulness skill and IL towards job performance. Furthermore, this research has confirmed that self-compassion did not moderate the relationship between mindfulness skill, IL and employee work engagement, but employee work engagement plays a mediating effect on the relationship between mindfulness skill, IL and job performance.

This research has helped to fill the literature gap by examining the mediating roles of employee work engagement and mediator role of self-compassion in the integrated relationship of multi-factor and job performance. Examining the mediating role of employee work engagement has helped to enhance the understanding of the underlying principle of the indirect influence of mindfulness skill, IL and job performance. The result of this research shows that self-compassion plays a vital role in influencing the employees’ work engagement. Hence, it is important that companies design human resource management policy that enables self-compassion to be used as a consideration psychological-related strategy when structing organisation or teams. It is also crucial for top management and policymakers to define and communicate the organisation’s operating principle, value and goals.

The Chartered Manager Degree Apprenticeship (CMDA) was approved for delivery in the UK in 2015 (IfATE, 2023). The CMDA offers future managers the opportunity to gain a recognised degree as well as the practical skills to thrive in today's competitive job market. A number of studies have been written on the development phase of the CMDA in various institutions, but to date no systematic review exists to provide an overview of commonalities and insights gained across these studies. This review aims to fill this gap.

A systematic literature review (SLR) was used to identify studies written on the CMDA since its introduction. In total, 12 papers met the authors' selection criteria, and thematic coding was used to analyse and present the findings.

Findings were grouped into five themes: (1) curriculum design; (2) programme delivery and support for apprentices; (3) portfolio of evidence and End Point Assessment (EPA); (4) working with employers and (5) recruitment and onboarding.

This review is the first synthesis to date of literature written on the CMDA. The authors' analysis has allowed them to formulate recommendations for future practice that will be of use to providers in the next phase of the CMDA's development.