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This study aims to investigate tourists’ intentions to use hotel service robots with a focus on safety and hygiene. It examines the impact of perceived safety, health awareness and service assurance on consumer engagement and robot usage.

Survey data from 275 participants with experience in robotic service were analyzed using structural equation modeling (SEM). The study used purposive sampling and collected data via the Prolific platform, using SEM and SmartPLS Ver. 3.0 for analysis.

Results indicate customers prioritize safety and hygiene, valuing effective service responses and cleanliness. Perceived robotic safety and service assurance positively influence personal engagement, with a preference for service robots among female guests.

While emphasizing the importance of safety and service assurance in hotel robotics, the study acknowledges limitations in personalization and conclusive use of service robots.

This research contributes to understanding the role of perceived safety in service robot usage, highlighting the significance of user trust and comfort in human–robot interactions. It also explores the novel connection between service assurance and service robots, offering insights into robotic performance reliability in user-centric contexts.

Evaluating the multiphysics performance of an electric motor can be a computationally intensive process, especially where several complex subsystems of the motor are coupled together. For example, evaluating acoustic noise requires the coupling of the electromagnetic, structural and acoustic models of the electric motor. Where skewed poles are considered in the design, the problem becomes a purely three-dimensional (3D) multiphysics problem, which could increase the computational burden astronomically. This study, therefore, aims to introduce surrogate models in the design process to reduce the computational cost associated with solving such 3D-coupled multiphysics problems.

The procedure involves using the finite element (FE) method to generate a database of several skewed rotor pole surface-mounted permanent magnet synchronous motors and their corresponding electromagnetic, structural and acoustic performances. Then, a surrogate model is fitted to the data to generate mapping functions that could be used in place of the time-consuming FE simulations.

It was established that the surrogate models showed promising results in predicting the multiphysics performance of skewed pole surface-mounted permanent magnet motors. As such, such models could be used to handle the skewing aspects, which has always been a major design challenge due to the scarcity of simulation tools with stepwise skewing capability.

The main contribution involves the use of surrogate models to replace FE simulations during the design cycle of skewed pole surface-mounted permanent magnet motors without compromising the integrity of the electromagnetic, structural, and acoustic results of the motor.

This research aims to develop and validate a framework for eradicating women’s discrimination in architectural design firms (ADFs) in Egypt and propose strategies for prospective adoption in the Gulf Cooperation Council (GCC) countries to increase the transformational impact of women on the architectural and urban developments of the Gulf region.

A combined qualitative and quantitative research approach was designed to accomplish four objectives. Firstly, to investigate the nature of business in ADFs, women’s discrimination and policies for gender equity (PGE) in architecture. Secondly, to analyse three case studies to validate the identified causes and impacts of women’s discrimination and examine the role of PGE towards eradicating women’s discrimination in ADFs. Thirdly, to conduct a survey questionnaire with a representative sample of ADFs to investigate their perception of women’s discrimination and the correlation between PGE towards eradicating women’s discrimination in ADFs. Based on the above, the research developed and validated a framework to eradicate women’s discrimination in ADFs in Egypt and suggested strategies for potential application in the GCC countries to increase the transformational role of women in the architectural and urban developments of the Gulf region.

Through literature review and case studies, the research identified and validated the causes and impacts of women’s discrimination as well as PGE in Architecture. The findings of data analysis showed that the highest-ranked causes of women discrimination in ADFs were “customs and beliefs” followed by “Underestimating women’s work” and “Recruiting males more than females”. Moreover, the highest-ranked impacts of women’s discrimination were “career shift and leaving the profession” followed by “decrease in creativity and innovation” and “decrease in economic growth”. Furthermore, the Spearman correlation test showed that while some PGE were correlated, others were not. These findings helped in the development of the proposed framework and proposed strategies.

This research presents a practical framework to eliminate women’s discrimination in ADFs in Egypt based on the findings of literature review, case studies and survey questionnaire. The framework explained in a workable way the objectives of the framework functions; activities; tools and techniques; involved personnel and needed resources as well as enforcing mechanisms. It was validated by a representative sample of ADFs in Egypt to ensure its practicability and viability and suggested strategies for implementation in the GCC countries to increase women’s role in architectural and urban development.

The research identified and validated the causes and impacts of women’s discrimination as well as PGE in Architecture. Moreover, the research investigated the perception of women’s discrimination and the correlation between PGE through conducting a survey questionnaire with a representative of ADFs in Egypt. The research tackled a topic that received scant attention in construction literature, especially in Egypt and the GCC countries. The research developed and validated a framework to eradicate women’s discrimination in ADFs in Egypt. It represents a synthesis that is novel and creative in thought and adds value to the knowledge in a manner that has not previously occurred. The research suggested several strategies for the prospective implementation of the framework in the GCC countries as an approach to enhancing the transformational role of women in the architectural and urban developments of the Gulf region.

The purpose of this paper is to define the local integration rate and how it is calculated to assess its relevance as a national performance indicator for the Moroccan automotive industry.

The research methodology first followed a systematic review approach through the analysis of published research articles and academic works. This study then followed a qualitative approach based on semi-structured interviews with various actors in the Moroccan automotive industry. Finally, the findings of this work were reinforced by a case study to analyze the supply chain of a locally produced vehicle.

The results indicate that the local integration rate as calculated today overestimates the performance of the automotive industry and does not systematically guarantee a significant creation of value added.

Due to the confidentiality of the data in terms of turnover, payroll and purchase prices as well as the large number of suppliers in the different supply chains of the car manufacturer, the case study focused on only one of the six existing ecosystems.

On the basis of research work on the Moroccan automotive industry as well as interviews with various actors, the local integration rate is unanimously considered as a viable performance indicator. This study has not only led us to the method of calculating this rate by the Ministry of Industry but also demonstrated its limitations while proposing a new method of calculation to increase the value added.

The purpose of this paper is to shed light on the protection motivation theory’s (PMT) maladaptive coping response to anti-Covid-19 preventive persuasive appeals. PMT is based on coping appraisal that may lead to either an adaptive- or a maladaptive coping response. It has been suggested that the maladaptive coping response is not sufficiently investigated and can be represented by individuals’ resistance to anti-Covid-19 persuasive messages. It has been also supposed that resistance is predicted and modeled through a set of cognitive, affective and individual factors such as information processing style, fear arousal, gender and coping self-efficacy.

An experiment and a survey were conducted online on a random sample of 290 individuals. The sample was divided into two groups, each of which was exposed to an anti-Covid-19 persuasive message.

The findings show that resistance to anti-Covid-19 persuasion is not directly predicted by the individual’s exposure to the message, but channeled through an affective and a cognitive process. It was also reported that resistance is predicted by both the reflective and the nonreflective information processing styles, which are in turn predicted by a high versus a low fear arousal. Fear arousal level was shown to be moderated by gender and coping self-efficacy.

This research brings additional insight to the PMT in so far that it highlights the maladaptive coping response through resistance to persuasion in a pandemic context.

Misinformation surrounding the Sustainable Development Goals (SDGs) has contributed to the formation of misbeliefs among the public. The purpose of this paper is to investigate public sentiment and misbeliefs about the SDGs on the YouTube platform.

The authors extracted 8,016 comments from YouTube videos associated with SDGs. The authors used a pre-trained Python library NRC lexicon for sentiment and emotion analysis, and to extract latent topics, the authors used BERTopic for topic modeling.

The authors found eight emotions, with negativity outweighing positivity, in the comment section. In addition, the authors identified the top 20 topics discussing various SDGs and SDG-related misbeliefs.

The authors reported topics related to public misbeliefs about SDGs and associated keywords. These keywords can be used to formulate social media content moderation strategies to screen out content that creates these misbeliefs. The result of hierarchical clustering can be used to devise and optimize response strategies by governments and policymakers to counter public misbeliefs.

This study represents an initial endeavor to gain a deeper understanding of the public’s misbeliefs regarding SDGs. The authors identified novel misbeliefs about SDGs that previous literature has not studied. Furthermore, the authors introduce an algorithm BERTopic for topic modeling that leverages transformer architecture for context-aware topic modeling.