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This study explores practitioners’ perspectives on the perceived gap between university and practice beyond the hard and soft skill paradigm. Utilising Tomlinson’s graduate capital model of employability (2017), we explored human, social, cultural, and psychological capitals to enrich the understanding of this issue and employability. It provided a new perspective, useful for implementing curriculum renewal.

This study utilised a two-stage mixed methods design. Using Tomlinson’s (2017) Graduate capital model as a framework, the first stage involved distributing an online survey to qualified architects in hiring positions practising in Australia. This served as the foundation for generating qualitative and quantitative data. The second stage involved a two-hour practitioner workshop where the survey results were discussed and expanded upon.

Our results found that the practitioner’s perspective on the perceived skills gap is more complex than the hard/soft skill paradigm commonly discussed. Practitioners expressed a need for students/graduates to possess identity and cultural capital to contextualise industry norms and expectations. This knowledge lets students know where and how hard/soft skills are used. Our results also suggest practitioners are concerned with the prevailing individualistic approach to the higher education system and traditional architectural teaching methods, instead suggesting a more industry-aligned collaborative disposition.

By expanding the employability discourse beyond hard/soft skills, the results of this research provide an opportunity for architectural curriculum renewal in line with industry expectations.

This paper aims to identify the factors that influence students' mental health, particularly in the context of MBA students passing through an emotional phase of the placement season.

A conceptual model through literature has been proposed. To test the proposed model of this study, a survey was conducted among the students of three MBA institutes of national reputation in India. The study's hypotheses were investigated using partial least squares-structural equations modeling and analysis of variance. To corroborate the findings of the survey data, a qualitative study in the form of open-ended interviews with five students was conducted.

The study revealed that female students, non-engineering graduates and students from non-family business backgrounds undergo stress, anxiety and depression higher than their classmates. Cumulative grade point average and bank loans do not significantly affect students' stress, anxiety and depression during the placement season. It was found that the increase in the levels of mindfulness scores led to a significant negative impact on stress, anxiety and depression among the students.

There is a gap in the literature that addresses the mental health of MBA students during campus job placements and the role of mindfulness in mitigating stress, anxiety and depression in these students. This research attempts to fill these research gaps.

While psychology, sociology and communications studies hypothesise a range of independent variables that might impact on individuals’ acceptance or rejection of rumours, almost all studies of the phenomenon have taken place in environments featuring notable, and sometimes very deep, partisan divisions, making it almost impossible to isolate the impact of partisan influences on views on different rumour subjects. This study aims to remove the possibility of partisan influences on readers of internet rumours by testing the impact of independent demographic variables in China, a one-party state with no overt partisan divisions. The study provides an opportunity to strip away the influence of ideology and see whether this factor may have coloured previous studies on susceptibility to believe rumours.

An empirical study was used to examine belief in false and true online rumours in a non-partisan environment. A large sample group was presented with rumours across four subject areas and respondents’ conclusions and demographic information was then subject to logistic regression analysis to identify relationships between factors and ability to identify the veracity of online rumours.

Unexpectedly, the regression analysis revealed no statistically significant nexus between many independent demographic variables and patterns of believing or disbelieving rumours. In other cases, a statistically significant relationship was revealed, but only to a limited degree. The results suggest that once the role of partisanship in explaining the proliferation of and belief in false rumours and the ability to identify true ones is removed from consideration, no other independent variables enjoy convincing links with rumour belief.

The study tests in China, a jurisdiction featuring a non-partisan environment, the impact of independent variables on media users’ belief in a wide range of rumours.

This paper reviews recent research on the expected economic effects of developing artificial intelligence (AI) through a survey of the latest publications, in particular papers and reports issued by academics, consulting companies and think tanks.

Our paper represents a point of view on AI and its impact on the global economy. It represents a descriptive analysis of the AI phenomenon.

AI represents a driver of productivity and economic growth. It can increase efficiency and significantly improve the decision-making process by analyzing large amounts of data, yet at the same time it creates equally serious risks of job market polarization, rising inequality, structural unemployment and the emergence of new undesirable industrial structures.

This paper presents itself as a building block for further research by introducing the two main factors in the production function (Cobb-Douglas): labor and capital. Indeed, Zeira (1998) and Aghion, Jones and Jones (2017) suggested that AI can stimulate growth by replacing labor, which is a limited resource, with capital, an unlimited resource, both for the production of goods, services and ideas.

Our study contributes to the previous literature and presents a descriptive analysis of the impact of AI on technological development, economic growth and employment.

The purpose of the article is to shed light on how COVID-19 affects employee involvement in environmental responsibility and innovative performance in the banking industry, and whether employee engagement mediates the relationship between the variables. Thus, this study tries to understand bank employees’ perspectives in relation to the variables.

The study was collected during Time lag (1) and Time lag (2) from 156 to 216 bank employees, respectively. The study applied two types of analysis, to comprehend the impact of COVID-19 on employees, descriptive analysis and the partial least squares (PLS) are used.

The study's findings focused mainly on the influence of COVID-19 in Jordanian banks on employee innovative performance (EIP) due to pandemic, in addition to its effect on environmental responsibility engagement (ERE). The findings indicated a positive significant relationship between the variables. Meanwhile, employee engagement (EE) mediated the effect between the exogenous and endogenous variables.

The current research provide light on the value of employees' innovative performance and banks' commitment to environmental responsibility for those working in the banking industry, particularly during a pandemic. The findings have significant ramifications for the banking industry and in raising employee engagement.

Migration is on the rise due to globalization and human mobility. This has led to increased impacts that have affected many industries, including the construction industry. A large number of migrants are employed in the construction sector, and employers are challenged to make sure all employees are properly integrated to meet the demands needed for construction projects. This article addresses key differences between migrant and native workers to help hiring departments in the construction industry analyse workers' attitudes based on cultural and motivational factors to have the workforce they need to succeed.

The research used both quantitative and qualitative surveys. A two-part questionnaire, designed through a comprehensive literature review, was carried out to identify key differences between native and migrant workers. The data were obtained and then analysed using different statistical approaches, including factor analysis protocol, factor structure model, reliability analysis, relative importance index and nonparametric test analysis. A semi-structured interview was then conducted to discuss all the findings.

The study indicated that migrant workers, compared to natives, tend to give more importance to their working environment, particularly accommodation, work safety and relations with teammates. Also, migrants typically take a socialistic approach instead of an individual approach while at work and reveal an extensive range of behaviours based on a sense of belonging. It might be more important for migrants to have a place in society, to have a settled life and to be integrated into an established order than to improve their rights and benefits. On the other hand, the study argued that native workers tend to prioritize their benefits at work, such as regular payments for overtime and insurance premiums. Their behaviours might carry a more neutral and individual attitude as well as specific cultural traces.

The study is limited to a sample of participants in the Turkish construction sector. Further research based on more cultural models and motivational factors with a larger group of respondents from different countries could offer better results. The results of the study might not apply to a broad context due to many other factors that affect worker behaviours, such as geography, cultural structures and working conditions. Despite these drawbacks, the present paper may help employers and other stakeholders understand the best way to incorporate migrants into the construction industry.

This research is very important for the construction industry in various countries that are currently employing thousands of migrants. Being able to address the key differences between migrants and native workers based on cultural and motivational factors might help with engagement and create a level of harmony in the field for greater productivity.

The purpose of this paper is to explore the feasibility of mud brick houses as an alternative to the more widely adopted emergency shelters used in war-torn Syria. It focuses on the mud houses’ sustainability, cost effectiveness, cultural preference, income generation and security.

This study uses a qualitative research approach to a single case study. Interviews were conducted with field experts from the Qatar Red Crescent Society and members of the internally displaced persons (IDPs) community living in mud brick houses.

The findings reveal that the utilisation of mud houses is a good alternative in relief efforts. The houses are sustainable and cost-effective, take into consideration cultural dynamics and provide economic empowerment to IDPs. However, the maintenance of mud brick houses turns out to be the largest flaw, and this problem requires further research.

The paper highlights the inefficiency of current emergency sheltering practices in Syria and reveals that tents are not a preferred mode of shelter. It further sheds light on a unique case study in which mud houses were used by an aid and development organisation, highlighting its strengths and weaknesses. This paper contributes to practical discussion and ideation on more appropriate housing for IDPs.

This study aims to analyse in the health access of Indonesian illegal migrant workers in Malaysia, during which time they were not covered by Indonesia’s national social health insurance.

This study adopted a sociolegal approach, the research approach is conducted to understand the effect of a law, policy and regulation on access to health-care access among Indonesian migrant workers working illegally in Malaysia. This research involved 110 respondents who work illegally in Malaysia. The research explored the perceptions of respondents concerning to health access services of illegal migrant workers.

The study demonstrated the weakness of provisions intended to guarantee the health access to health care of migrant workers from Indonesia illegally working in Malaysia. A decline in health status was observed, but it was not significant. Bilateral cooperation between Indonesia and Malaysia is necessary to provide a framework for Indonesia providing health care to its citizens working in Malaysia, regardless of their legal status.

This paper concerns on the Indonesia illegal migrant workers experiencing illness and the access to the health service in Malaysia, and also the implementation of international regulation to protect Indonesian illegal migrant workers in Malaysia under ASEAN Consensus on the Protection and Promotion of the Rights of Migrant Workers.

The purpose of this study is to explore robot-phobia as a source of occupational stress among hospitality employees in the context of increasing robotization in the industry.

The study sampled 321 lodging employees and 308 food service employees in the USA. An online panel company recruited the participants and administered an online survey. The study used various analytical methods, including structural modeling, t-tests and multi-group analyses.

The study results reveal that hospitality workers experience robot-phobia regardless of their sector or position. Robot-phobia causes job insecurity and stress, which increases turnover intention. These negative outcomes are more pronounced for those who interact more frequently with robots.

The study findings suggest that hospitality workers fear being replaced by robots in the near future. Therefore, hospitality organizations should offer adequate training and education on the advantages and drawbacks of robots and establish a supportive and collaborative work environment that values human–robot interaction.

This study offers new insights regarding human–robot interaction from the employee perspective by introducing the concept of robot-phobia in the hospitality workplace. A comprehensive picture of how hospitality employees confront the increasing presence of robots is provided in this study.

This study aims to understand the impact of negative supervisor gossip on job performance among South Indian hotel employees. The focus is not just on the direct influence, but also on the mediating role of feedback-seeking behaviour (FSB) and the moderating effects of the agreeableness trait.

Through purposive sampling, data was garnered from South Indian hotel employees. Comprehensive analyses were performed using partial least squares structural equation modelling.

The analysis shows that FSB plays a mediating role in the positive relationship between negative supervisor gossip and job performance. In addition, the influence of gossip on FSB and subsequent job performance was more pronounced for employees with high agreeableness.

This research underscores the complex interplay between negative supervisor gossip and job performance, revealing that such gossip can catalyze FSB process in employees. It suggests that under certain conditions, negative gossip can be transformed into a constructive force that enhances job performance, challenging traditional perceptions of gossip in the workplace.

The findings underscore the importance of understanding the effects of workplace dynamics, like supervisor gossip, on employee behaviour and performance. Recognizing the influence of individual personality traits, such as agreeableness, can guide management strategies for fostering a productive work environment.

This research sheds light on the intricate interplay between negative supervisor gossip, FSB and agreeableness, offering a novel perspective on their combined impact on job performance. It not only enriches the existing literature on workplace communication but also broadens the understanding of the role of personality traits in shaping employee responses and outcomes.