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This paper aims to explore examine the therapeutic potential of head-mounted display (HMD)-based Virtual Reality Relaxation Therapy (VRRT) sessions for people individuals with dementia in Jordan.

This cross-sectional survey recruited 75 dementia-diagnosed elderly individuals from three Jordanian care homes. A VRRT intervention comprising 10 tailored RT sessions held over the course of five weeks was administered to the participants. Apathy, cognitive performance, anxiety and depression were evaluated before and after the intervention to determine any changes. The Person-Environment Apathy Rating Scale's (PEARS) Arabic translation's validity and reliability were also evaluated.

The VRRT intervention yielded noteworthy results in reducing apathy, as indicated by a substantial decrease in PEARS scores from 17.20 to 11.15. The findings of the study revealed that the participants demonstrated enhanced cognitive abilities, as evidenced by a significant rise in their Saint Louis University Mental Status ratings, which increased from 15.11 to 19.70. The levels of anxiety and depression exhibited a significant decrease subsequent to the implementation of VRRT, with anxiety levels decreasing from 13.66 to 8.23 and depression levels decreasing from 13.62 to 9.33. Furthermore, a notable 70% of participants demonstrated statistically significant decreases in indifference.

This study makes a significant contribution to the advancement of innovative treatment approaches aimed at addressing the needs of the aging population, hence enhancing health outcomes and raising the quality of care in Jordan.

The effectiveness of VRRT in reducing apathy among Jordanian senior citizens residing in nursing homes has not yet been fully investigated. Therefore, this paper seeks to assess the effectiveness of HMD-based VRRT by conducting pre- and post-intervention evaluations. This research aims to provide valuable insights into the applicability and significance of VRRT in the Jordanian context, contributing to the development of culturally appropriate and cutting-edge therapeutic interventions for older individuals in Jordan. Through this study, the authors aim to promote improved health and elevated standards of care for this population.

Despite the most efficient mechanism to fight against corruption is whistleblowing, in most cases, civil servants prefer to remain silent. For this reason, this research seeks to understand the decision-making process by which civil servants, who witness corrupt actions, prefer to remain silent.

A grounded theory was constructed, based on the coding of 27 in-depth interviews with civil servants from Bogotá, Colombia, who claimed having witnessed acts of corruption.

It is proposed that corruption tolerance is a process in which, upon observing an act of corruption, there is an emotional response (apathy, anger and fear) that influences the way civil servants rationalize irregular situations and determines their intention to whistleblowing. Additionally, it was found that behaviors such as patronage are normal for civil servants while irregular procurement and fraud are considered serious moral transgressions.

This research explores two important elements to advance the understanding of public corruption: (1) The comprehension, of the role that plays emotions in the corruption tolerance process by civil servants. Results revealed the existence of an ambivalence between anger and fear that could condition the decision to whistleblowing. (2) The validation of some theoretical elements that had been analyzed in previous research comparing them with the collected empirical information.

This paper aims to contend that populism is damaging to both domestic and international politics; not only does it erode liberal democracy in established democracies but also fuels authoritarianism in despotic regimes and aggravates conflicts and crises in international system.

The research is divided into two main sections. First, it examines how populist mobilization affects liberal democracy, and refutes the claims that populism is beneficial and reinforcing to democracy. Second, it attempts to demonstrate how populism is damaging to domestic politics (by undermining liberal democracy and supporting authoritarianism) as well as international relations (by making interstate conflicts more likely to materialize). Theoretically, populism is assumed to be a strategy used by politicians to maximize their interest. Hence, populism is a strategy used by politicians to mobilize constituents using the main features of populist discourse.

The research argues that populism has detrimental consequences on both domestic and international politics; it undermines liberal democracy in democratic countries, upsurges authoritarianism in autocratic regimes and heightens the level of conflict and crises in international politics. Populism can lead to authoritarianism. There is one major undemocratic trait shared by all populist waves around the world, particularly democracies; that is anti-pluralism/anti-institutions. Populist leaders perceive foreign policy as the continuation of domestic politics, because they consider themselves as the only true representatives of the people. Therefore, populist actors abandon any political opposition as necessarily illegitimate, with repercussions on foreign policy.

Some scholars argue that populism reinforces democracy by underpinning its ability to include marginalized sectors of the society and to decrease voter apathy, the research refuted these arguments. Populism is destructive to world democracy; populists are reluctant to embrace the idea of full integration with other nations. Populists reject the idea of open borders, and reckon it an apparent threat to their national security. The research concludes that populists consider maximizing their national interests on the international level by following confrontational policies instead of cooperative ones.

Social psychology has focused on an individual’s reaction to emergencies and witnessing a crime, which has developed theories of bystander intervention and bystander apathy. The purpose of this study is to explore why people choose to intervene when they are a bystander to intimate partner violence (IPV) and the psychological processes that underpin this. Decision-making was explored drawing on literature from the whistleblowing field.

Through a mixed methods epistemology, this study explored factors that explained intervening behaviour concerning IPV. In total, 212 participants who had known someone who was a victim of IPV were recruited from the general population.

A logistic regression model indicated that conscientiousness and fairness were found to predict intervening behaviour. Being a child witness was found to predict non-intervening behaviour. Qualitative analysis revealed three types of bystander apathy: those who lacked capability as they were children; those who were indifferent and did not see it as their place to intervene; and those who wanted to intervene but did not as they were frightened of exacerbating the situation.

IPV has significant physical and psychological effects on victims. However, the choice to intervene is complex, and bystander intervention in this study was also associated in some cases with not only a continuation of the IPV behaviour towards the victim but also aggression and physical violence towards the bystander (whistleblower retaliation). Based on the findings of this study, recommendations are made for how to support bystanders and victims of IPV.

This study involved participants with real-life experience of being a bystander to IPV. The mixed methodology provided an insight into the psychological processes, which underpin bystander experiences of IPV and maps onto the literature in relation to whistleblowing.

This paper integrates research on quiet quitting (a mindset where employees restrict their efforts to their job description) and organizational learning (OL) to illustrate how quiet quitting challenges the sub-processes of OL.

By integrating the existing literature on quiet quitting and OL, this paper identifies and maps the challenges of quiet quitting to the sub-processes of OL, namely, intuiting, interpreting, integrating, and institutionalizing within the 4I framework of Crossan et al. (1999).

This paper conceptually establishes that quiet quitting undermines employees’ cognitive efforts and weakens employees’ contribution to team discussions. Further, quiet quitting undermines suggestion sharing and creates a reluctance to share knowledge, undermining OL.

The paper provides actionable strategies for managers to tackle the challenges of quiet quitting on OL.

To the best of the authors' knowledge, this study is amongst the first to illustrate the challenges of quiet quitting on OL.

Specifically, this study aims to examine residents’ perceptions regarding the following: the sociocultural, environmental and economic impacts generated by the presence of Airbnb and the irritability caused by the presence of Airbnb based on Doxey’s Doxey (1975) irritation index (i.e. index).

Twenty-one semistructured in-depth interviews were conducted between February and March 2021 with residents of three condominiums in the Huancaro residential complex. Data were analyzed using the qualitative data analysis software ATLAS.ti 8.

Results showed that participants perceived negative economic impacts regarding investments, jobs, real estate prices and overall cost of living; negative sociocultural impacts regarding criminality, social conflicts and cultural exchange; and negative environmental impacts regarding sanitation in the context of the pandemic and the state of the Airbnb apartments. Further, it was found that participants related to the following three of the four stages of irritability: euphoria, apathy and annoyance.

It is necessary to complement the information with the perceptions of the residents about the city’s authorities and managers in the hotel business before the stage of the COVID-19 pandemic and the current stage.

The study identifies improve Airbnb operations like establishing health paraments and defining cohabitation rules at the condominiums.

The residents consider that visitors’ returns produce positive and negative impacts on the quality of life being important for understanding their perceptions.

Short-term rental companies, such as Airbnb, generate a range of impacts on urban residents, particularly when travelers encroach on areas of the city beyond the traditional “tourist bubbles.” This study explored the perceptions of Airbnb’s impacts on activities among residents of Huancaro, a residential section of Cusco-Peru, in the context of tourism reopening after a year of an almost complete halt in tourism activities because of the COVID-19 pandemic. The study also highlighted the heterogenetic responses to Airbnb within the community.

The applications of Artificial Intelligence (AI) in various areas of professional and knowledge work are growing. Emotions play an important role in how users incorporate a technology into their work practices. The current study draws on work in the areas of AI-powered technologies adaptation, emotions, and the future of work, to investigate how knowledge workers feel about adopting AI in their work.

We gathered 107,111 tweets about the new AI programmer, GitHub Copilot, launched by GitHub and analysed the data in three stages. First, after cleaning and filtering the data, we applied the topic modelling method to analyse 16,130 tweets posted by 10,301 software programmers to identify the emotions they expressed. Then, we analysed the outcome topics qualitatively to understand the stimulus characteristics driving those emotions. Finally, we analysed a sample of tweets to explore how emotional responses changed over time.

We found six categories of emotions among software programmers: challenge, achievement, loss, deterrence, scepticism, and apathy. In addition, we found these emotions were driven by four stimulus characteristics: AI development, AI functionality, identity work, and AI engagement. We also examined the change in emotions over time. The results indicate that negative emotions changed to more positive emotions once software programmers redirected their attention to the AI programmer's capabilities and functionalities, and related that to their identity work.

Overall, as organisations start adopting AI-powered technologies in their software development practices, our research offers practical guidance to managers by identifying factors that can change negative emotions to positive emotions.

Our study makes a timely contribution to the discussions on AI and the future of work through the lens of emotions. In contrast to nascent discussions on the role of AI in high-skilled jobs that show knowledge workers' general ambivalence towards AI, we find knowledge workers show more positive emotions over time and as they engage more with AI. In addition, this study unveils the role of professional identity in leading to more positive emotions towards AI, as knowledge workers view such technology as a means of expanding their identity rather than as a threat to it.

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.

The current research has developed a novel method to update the decisions regarding real-time data, named the dynamic adjusted real-time decision-making (DARDEM), for updating the decisions of a grocery supply chain that avoids both frequent modifications of decisions and apathy. The DARDEM method is an integration of unsupervised machine learning and mathematical modeling. This study aims to propose a dynamic proposed a dynamic distribution structure and developed a bi-objective mixed-integer linear program to make distribution decisions along with supplier selection in the supply chain.

The constantly changing environment of the grocery supply chains shows the necessity for dynamic distribution systems. In addition, new disruptive technologies of Industry 4.0, such as the Internet of Things, provide real-time data availability. Under such conditions, updating decisions has a crucial impact on the continued success of the supply chains. Optimization models have traditionally relied on estimated average input parameters, making it challenging to incorporate real-time data into their framework.

The proposed dynamic distribution and DARDEM method are studied in an e-grocery supply chain to minimize the total cost and complexity of the supply chain simultaneously. The proposed dynamic structure outperforms traditional distribution structures in a grocery supply chain, particularly when there is higher demand dispersion. The study showed that the DARDEM solution, the online solution, achieved an average difference of 1.54% compared to the offline solution, the optimal solution obtained in the presence of complete information. Moreover, the proposed method reduced the number of changes in downstream and upstream decisions by 30.32% and 40%, respectively, compared to the shortsighted approach.

Introducing a dynamic distribution structure in the supply chain that can effectively manage the challenges posed by real-time demand data, providing a balance between distribution stability and flexibility. The research develops a bi-objective mixed-integer linear program to make distribution decisions and supplier selections in the supply chain simultaneously. This model helps minimize the total cost and complexity of the e-grocery supply chain, providing valuable insights into decision-making processes. Developing a novel method to determine the status of the supply chain and online decision-making in the supply chain based on real-time data, enhancing the adaptability of the system to changing conditions. Implementing and analyzing the proposed MILP model and the developed real-time decision-making method in a case study in a grocery supply chain.

Understanding behavior toward sustainable consumption remains among the most challenging contemporary topics and requires continual investigation. The aim of this paper is to explore young Bahraini women’s level of awareness of sustainable consumption while also considering their attitudes, motivations and behavior as key elements in the study.

A qualitative approach was used to collect the data. More specifically, 46 semi-structured interviews with young Bahraini women took place and the results were produced using thematic analysis.

Results reveal that consumers’ awareness levels toward sustainable consumption have been growing but awareness remains variable among consumers. In turn, motivation toward supporting sustainability is more associated with environmental reasons than cultural or economic ones. The attitude toward sustainable consumption is generally positive among young consumers. Moreover, sustainable consumption has been found to be present through various means in the purchase decisions of young Bahraini women.

This study exclusively explores the awareness levels of young Bahraini women regarding sustainable consumption with a focus on the elements of the behavioral process, namely, “awareness, attitude, motivation, and behavior”, as central research pillars.