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Using a case study, this article sets out to explore the issues surrounding the use of data collected during in‐plant training events—data which may have organisational implications far beyond the limited learning objectives associated with any particular event

To judge from the literature there has been a substantial amount of research carried out into the evolution of supervisor training. For the most part, however, this work has been carried out by those with psychological/sociological leanings; in fact it should more appropriately be described as “validation”, in that no attempt has been made to value the effects of the training programmes in either resource or cash terms. Thus most of the research has been concerned primarily with the factors that affect the learning process and the transfer of learning. To a large extent, therefore, economic evaluations of training have been ignored. No doubt this reflects the fact that such training is difficult to evaluate economically.

For more than 20 years, genome editing has been one of the numerous technologies developed for the study and manipulation of the genome. However, since the relatively recent appearance of the so-called precision approaches, and especially through the “CRISPR revolution,” the modification of the genome of any living beings on our planet has become possible, despite recent results showing some unexpected and undesirable effects of this technology. The objective of this chapter is to illustrate how a mobilization of the scientific community through the setting-up of an association should allow a responsible and ethical use of these technologies with considerable impacts for our society.

David Logan, a former deputy president of the NUS and now at the Institute of Education, examines the work of the select committee.

The purpose of this study was threefold: to trace the extent to which digital transformation strategies are being implemented in organizations; to statistically measure, validate, predict and examine how digital leaders perceive a synthesized digital transformation model (DTM); and to explore whether leaders with different demographic characteristics perceive the DTM similarly.

The study authors surveyed 778 leaders/managers from the United Arab Emirates (UAE) to assess the synthetized DTM consisting of four dimensions and nine perception constructs that represent how leaders manage employees in a digital environment. The survey questions were adapted from the 2014 Westerman leading digital book published in Harvard business press.

The general findings revealed that UAE organizations that were already in the digital transformation stage before COVID-19 reacted and responded extremely quickly to speed up the implementation of their respective digital transformation strategies. We concluded that our proposed and synthetized DTM is valid and predictable, and can be adapted to trace the stages of digital transformation by leaders. A positive relationship was found between the DTM’s four dimensions and their related constructs as perceived by the leaders, regardless of differences in their demographic characteristics.

The synthesized digital transformation model is unique in that the authors believe there is no other research that purports to synthesize, validate and correlate using the digital transformation campus dimensions and its related constructs, reflecting leaders' perceptions toward adopting this campus. As well, this is the first UAE study to explore and compare the perspectives of leaders on their digital practices after COVID-19 in a country that has an established IT infrastructure.

The deployment of artificial intelligence (AI) technologies in travel and tourism has received much attention in the wake of the pandemic. While societal adoption of AI has accelerated, it also raises some trust challenges. Literature on trust in AI is scant, especially regarding the vulnerabilities faced by different stakeholders to inform policy and practice. This work proposes a framework to understand the use of AI technologies from the perspectives of institutional and the self to understand the formation of trust in the mandated use of AI-based technologies in travelers.

An empirical investigation using partial least squares-structural equation modeling was employed on responses from 209 users. This paper considered factors related to the self (perceptions of self-threat, privacy empowerment, trust propensity) and institution (regulatory protection, corporate privacy responsibility) to understand the formation of trust in AI use for travelers.

Results showed that self-threat, trust propensity and regulatory protection influence trust in users on AI use. Privacy empowerment and corporate responsibility do not.

Insights from the past studies on AI in travel and tourism are limited. This study advances current literature on affordance and reactance theories to provide a better understanding of what makes travelers trust the mandated use of AI technologies. This work also demonstrates the paradoxical effects of self and institution on technologies and their relationship to trust. For practice, this study offers insights for enhancing adoption via developing trust.

This study deals with the computational simulation and inverse analysis of the cooling treatment of the hypoxic-ischemic encephalopathy in neonates. A reduced-order model is implemented for real-time monitoring of the internal body temperatures. The purpose of this study is to sequentially estimate the transient temperatures of the brain and other body regions with reduced uncertainties.

Pennes’ model was applied in each body element, and Fiala’s blood pool concept was used for the solution of the forward bioheat transfer problem. A state estimation problem was solved with the Sampling Importance Resampling (SIR) algorithm of the particle filter method.

The particle filter method was stable and accurate for the estimation of the internal body temperatures, even in situations involving large modeling and measurement uncertainties.

The proposed reduced-order model was verified with the results of a high-fidelity model available in the literature. Validation of the proposed model and of the solution of the state estimation problem shall be pursued in the future.

The solution of the state estimation problem with the reduced-order model presented in this paper has great potential to perform as an observer of the brain temperature of neonates, for the analysis and control of the systemic cooling treatment of neonatal hypoxic-ischemic encephalopathy.

The main treatment for hypoxic-ischemic encephalopathy in neonates is the cooling of affected regions. Accurate and fast models might allow the development of individualized protocols, as well as control strategies for the cooling treatment.

This paper presents the application of the SIR algorithm for the solution of a state problem during the systemic cooling of a neonate for the treatment of the hypoxic-ischemic encephalopathy.

How does organisational mission affect the development of social entrepreneurship and social innovation? Based on the theoretical perspective of social innovation, the aim of this paper is to empirically analyse the impact of the organisation’s dual mission (social and economic) on social entrepreneurship and social innovation, as well as to discover the effect of the latter on the performance of organisations.

Using data from 213 social economy firms, the authors conduct an empirical test of hypotheses using structural equation modelling.

The empirical study shows that an organisation’s dual mission (social and economic) has a positive effect on social entrepreneurship. However, the results suggest that the creation of social innovations is based more on social dimensions than on the economic interest of companies. The results also confirm that companies willing to embark on social projects can develop new products or services that address social needs.

The findings not only supply empirical evidence that helps clarify the effects of economic and social missions on organisational performance but they also offer guidance to companies on the role of social innovation in strengthening organisations.