Search Results (15)

Empirical debates about a “crisis of trust” highlight long-lived pockets of high trust and deep distrust in institutions, as well as abrupt, shock-induced shifts between the two. We propose a probabilistic model in which such phenomena emerge endogenously from social learning on hierarchical networks. Starting from a discrete model on a directed acyclic graph, where each agent makes a binary adoption decision about a single assertion, we derive an effective influence kernel that maps individual priors to stationary adoption probabilities. A continuum limit along hierarchical depth yields a degenerate, non-conservative logistic–diffusion equation for the adoption probability $u(x,t)$, in which diffusion is modulated by $(1-u)$ and increases the integral of u rather than preserving it. To account for micro-level uncertainty, we perturb these dynamics by multiplicative Stratonovich noise with amplitude proportional to $u(1-u)$, strongest in internally polarised layers and vanishing at consensus. At the level of a single depth layer, Stratonovich–Itô conversion and Fokker–Planck analysis show that the noise induces an effective double-well potential with two robust stochastic phases, $u\approx 0$ and $u\approx 1$, corresponding to persistent distrust and trust. Coupled along depth, this local bistability and degenerate diffusion generate extended domains of trust and distrust separated by fronts, as well as rare, Kramers-type transitions between them. We also formulate the associated stochastic partial differential equation in Martin–Siggia–Rose–Janssen–De Dominicis form, providing a field-theoretic basis for future large-deviation and data-informed analyses of trust landscapes in hierarchical societies. Full article

It has been five years since the COVID-19 pandemic began in 2019, forcing universities to hastily adopt online teaching. This study focuses on two under-researched topics: whether the shift online may change universities’ model to not require physical attendance and how students’ socioeconomic status impacts their preferences around online versus in-person learning. The research hypotheses suggest that undergoing an online teaching experience positively influences preferences for online teaching, which in turn impacts the desire for institutional changes toward an online environment. Based on 1854 questionnaires completed at several academic institutions, we employed a mixed methods design. We performed Exploratory Factor Analysis (EFA) followed by Structural Equation Modeling (SEM) to test the models’ goodness of fit and presented the Online Teaching Preference and Socioeconomic Effect (OTPSE) model. The findings show that students who felt their teaching improved through online classes preferred this format and chose universities without mandatory on-campus classes. Additionally, students from higher/middle socioeconomic backgrounds exhibited a greater preference for online learning than those from lower socioeconomic backgrounds. Overall, the results suggest that higher education leaders need thorough discussions on the topic. These findings may be valuable for education managers and policymakers when considering the implementation of sustainable education strategies, including the integration of online teaching methods. By understanding students’ preferences and the factors that influence their choices, education managers can develop effective strategies to promote sustainable development in education systems. Full article

The COVID-19 pandemic highlighted the essential role of urban and rural green spaces for societies coping with global public health crisis. During this particular time, a significant body of research was devoted to human–nature relationships, as well as the use and importance of green spaces, both from the management and visitors’ perspectives, along with the vital role of nature in human health and wellbeing. Furthermore, the pandemic experience induced new paradigms in spatial and urban planning, along with the management of forest and protected areas seeing the crucial role of green spaces in shaping long-term socio-environmental resilience and sustainability. Thus, after the official end of the pandemic, our study aimed to provide a systematic review of the international research related to green spaces within the context of the COVID-19 pandemic, focusing on those published between 2020 and 2023. The literature search within SCOPUS and Web of Science databases was conducted on 16 May 2023. A dataset of 161 articles was analyzed using a two-stage analysis. In the first stage, screening based on the title, abstract, and keywords was carried out. In the second stage, a detailed full text analysis was carried out, resulting in a final dataset of 66 articles related to the scope of this review. This article gives an in-depth methodological and conceptual overview, also referring to the applied research and management context related to green spaces in urban and rural environments. It concludes with lessons learned and poses open questions for future research related to green space planning and management. The literature review shows that institutions managing green spaces in cities and forests are facing new challenges. These include pursuing sustainable management policies in cities, ensuring equitable access to urban green space and community participation in the decision-making process, adapting suburban forest management to social expectations, and the recreational development of forest areas taking into account social needs and ecosystem sustainability. Full article

Crisis-induced learning (CIL), as a concept, has an ancient history. Although the academic literature offers a range of sophisticated approaches to address CIL, it is still not quite clear how we learn, how we know we have learned, and what challenges and opportunities are involved in the CIL process. To address these questions and navigate ways forward, we need to use a specific real-world subject to capture contextual issues involved in a crisis cycle, which affects the learning process. In this paper, we uncover patterns of learning by exploring contextual issues involved with “actual scenarios” related to three COVID-19 episodes (emergencies) between August and December 2020. To analyze the study’s findings, we use three different themes from the DARWIN Generic Resilience Management Guidelines: (1) supporting the coordination and synchronization of emergency-response operation activities, (2) managing adaptive capacity, and (3) developing and revising procedures and checklists. Looking into these “real scenarios” seems fruitful for understanding patterns of learning, and it results in several learning recommendations. Among others, this study reveals how the uncertainty involved in emergency-response operations creates cognitive demands for emergent problem-solving. Full article

With COVID-19 still making headlines around the world, many people currently feel uncertain about many aspects of life, including family financial planning and wealth management. Financial planning is important at all times, but it becomes essential during a crisis such as the coronavirus pandemic, which has disrupted people’s finances. Some economic consequences are already apparent, but the financially-induced stress caused by the uncertainty is less visible. With the increase in family wealth and size of organizations, there is a comparable increase in their assets. There is considerable demand for professionals to manage these assets and coordinate investment activities in order to maintain growth. This raises the issue of how to increase a wealth management bank’s competitive advantages. This study approached the issue by using experts and the application of fuzzy logic and decision-making trial and evaluation laboratory and multiple criteria decision-making to segment a set of the selection criteria used by prospective customers, to select a wealth management bank that can effectively manage personal wealth. The results showed that the management’s learning and growth perspective was the most important factor in respondents’ selection of a wealth management bank. This paper also provides managerial practice implications. Full article

Climate change appears to be the ecological issue which benefits from the most attention in the literature, compared to equally alarming situations such as plastic pollution. In fact, waste management issues took a new step with the recent discovery of microplastics in human blood for the first time, as it used to be a hypothesis. Instead of separating those questions, some researchers tend to consider that a link exists between the effects of global warming and plastic degradation in the ocean. Research focusing on the construal-level theory and the psychological distance explain the lack of public interest in the environmental crisis. However, recent studies highlight the empirical support of the psychological distance instead of the CLT, especially regarding climate change, but a few studies explore the psychological distance related to plastic pollution. With that in mind, any means to reduce the perceived psychological distance regarding environmental issues such as plastic pollution might increase their sensitivity and motivation to act. Moreover, the change of habit could be induced by a new event that would disrupt someone’s daily life according to the habit discontinuity hypothesis, and the use of immersive media such as video games might be the solution. Given numerous possibilities of creation with the scenarios, gameplay, public of interest and gaming contexts, video games also influence motivation, engagement and learning ability. We can also find specific components and mechanisms from game design in media that do not focus on entertainment first but on pedagogical purpose: serious games. Thus, this study investigates how immersive media might reduce specific psychological distance dimensions and trigger emotions using an educational video game on plastic pollution, which might play a major role in changing ones’ daily habits. The research uses a qualitative method centered on semi-structured individual interviews and the experimentation of a video game named Plasticity. Results support all the propositions and show that different types of immersion might reduce each dimension of the psychological distance, which is a first, reinforcing environmental awareness and new intentions of pro-environmental behavior. Other areas of discussion are furthered explored. Full article

It is clear that in the transition out of the COVID-19 crisis in Colombia there will be great need for formal job creation. One source that has been widely discussed in policy circles is strengthening linkages of Colombian firms with Global Value Chains (GVCs). Another source that has received recent attention, and deservedly so, is digital infrastructure development (DID)—which can boost telework and virtual human capital accumulation. Reduction in poverty and inequality through more and better formal employment is an important aspect of a jobs and economic transformation (JET) agenda. In this paper, we explore—through a computable general equilibrium model (CGE) and a microsimulation framework—to what extent reforms of the type envisioned in the JET agenda and which could generate GVC linkages, as well as through DID, for Colombia, and we project their impact on poverty and inequality up to 2030. Our findings show limited impact of the three types of policy changes considered for GVCs—namely (i) fall in barriers for seamless business logistics, (ii) reductions in tariffs, and (iii) lower barriers to foreign direct investment (FDI). The impact of DID on inequality is also moot. There is however a modest impact on poverty reduction in the combined policy of digital infrastructure with a boost in skilled labor. This finding can be linked to different factors. First, there are relatively few direct jobs created to benefit households with low levels of human capital. Second, there might be indirect job creation through backward linkages to local suppliers by firms linked to GVCs, but this effect would be a general equilibrium effect that our CGE model with a partial equilibrium microsimulation distributional module does not fully capture. Third, the positioning of Colombian firms to latch onto GVCs, and also generate demand for local intermediate inputs and services, is not optimal. Fourth, DID may generate more general labor market opportunities through telework and virtual learning expansions but could also induce larger wage gaps as the skill premium rises so that the net effect on inequality is ambiguous. Full article

In early 2020, Jain diaspora communities and organizations that had been painstakingly built over the past decades were faced with the far-reaching consequences of the COVID-19 pandemic and its concomitant restrictions. With the possibility of regular face-to-face contact and participation in recurring events—praying, eating, learning, and meditating together—severely limited in most places, organizations were compelled to make a choice. They either had to suspend their activities, leaving members to organize their religious activities on an individual or household basis, or pursue the continuation of some of their habitual activities in an online format, relying on their members’ motivation and technical skills. This study will explore how many Jain organizations in London took to digital media in its different forms to continue to engage with their members throughout 2020. Looking at a selection of websites and social media channels, it will examine online discourses that reveal the social and mental impact of the pandemic on Jains and the broader community, explore the relocation of activities to the digital realm, and assess participation in these activities. In doing so, this article will open a discussion on the long-term effects of this crisis-induced digital turn in Jain religious praxis, and in socio-cultural life in general. Full article

Training the next generation of industrial engineers and managers is a constant challenge for academia, given the fast changes of industrial technology. The current and predicted development trends in applied technologies affecting industry worldwide as formulated in the Industry 4.0 initiative have clearly emphasized the needs for constantly adapting curricula. The sensible socioeconomic changes generated by the COVID-19 pandemic have induced significant challenges to society in general and industry. Higher education, specifically when dealing with Industry 4.0, must take these new challenges rapidly into account. Modernization of the industrial engineering curriculum combined with its migration to a blended teaching landscape must be updated in real-time with real-world cases. The COVID-19 crisis provides, paradoxically, an opportunity for dealing with the challenges of training industrial engineers to confront a virtual dematerialized work model which has accelerated during and will remain for the foreseeable future after the pandemic. The paper describes the methodology used for adapting, enhancing, and evaluating the learning and teaching experience under the urgent and unexpected challenges to move from face-to-face university courses distant and online teaching. The methodology we describe is built on a process that started before the onset of the pandemic, hence in the paper we start by describing the pre-COVID-19 status in comparison to published initiatives followed by the real time modifications we introduced in the faculty to adapt to the post-COVID-19 teaching/learning era. The focus presented is on Industry 4.0. subjects at the leading edge of the technology changes affecting the industrial engineering and technology management field. The manuscript addresses the flow from system design subjects to implementation areas of the curriculum, including practical examples and the rapid decisions and changes made to encompass the effects of the COVID-19 pandemic on content and teaching methods including feedback received from participants. Full article

Constraints imposed by the shrinking resources and the climate change dynamics necessitate a behavioral change to increase knowledge exchange and optimize resource utilization. Existing entrepreneurship and innovation practices are therefore undergoing transformation to adapt production systems to the post-COVID-19 reality of increased risks of calamities within a context of shrinking resources. This paper uses a knowledge-centered crisis management framework to examine how enhanced knowledge sharing through co-operative learning can be applied to induce higher innovation performance and more efficient resource utilization structures during crises comparable to the current pandemic. Using the collaborative learning experiences of a small enterprise producing ecological fertilizers, this study was able to link crisis resilience enhancement to increased knowledge exchange between business entities connected through the agro-ecological value chain. New insights generated through the co-learning process were found to constitute a key input for strengthening the required capability endowments that enable the organization and its partners to weather the COVID-19 crisis and lay the foundation for the sustainability of post-COVID-19 operations. Full article

Limited data are available regarding strength and endurance training adaptations to occupational physical performance during deployment. This study assessed acute training-induced changes in neuromuscular (electromyography; EMG) and metabolic (blood lactate, BLa) responses during a high-intensity military simulation test (MST), performed in the beginning (PRE) and at the end (POST) of a six-month crisis-management operation. MST time shortened (145 ± 21 vs. 129 ± 16 s, −10 ± 7%, p < 0.001) during the operation. Normalized muscle activity increased from PRE to POST in the hamstring muscles by 87 ± 146% (116 ± 52 vs. 195 ± 139%EMG_MVC, p < 0.001) and in the quadriceps by 54 ± 81% (26 ± 8 vs. 40 ± 20%EMG_MVC, p < 0.001). In addition, higher acute BLa values were measured after MST during POST. Changes in BLa and EMG suggested an increased neural input and metabolic rate during POST MST, likely leading to faster performance times at the end of the operation. High EMG values throughout the different phases of MST suggested that despite the anaerobic nature of the test, the soldiers were able to maintain their voluntary muscle activation level until the end of the test. This indicates only limited neural fatigue during the two-minute high-intensity military specific performance. While learning effect may explain some part of the improvement in the MST performance times, combined strength and endurance training three times per week may improve neuromuscular performance in occupationally relevant tasks. Full article

The abundant dissemination of misinformation regarding coronavirus disease 2019 (COVID-19) presents another unprecedented issue to the world, along with the health crisis. Online social network (OSN) platforms intensify this problem by allowing their users to easily distort and fabricate the information and disseminate it farther and rapidly. In this paper, we study the impact of misinformation associated with a religious inflection on the psychology and behavior of the OSN users. The article presents a detailed study to understand the reaction of social media users when exposed to unverified content related to the Islamic community during the COVID-19 lockdown period in India. The analysis was carried out on Twitter users where the data were collected using three scraping packages, Tweepy, Selenium, and Beautiful Soup, to cover more users affected by this misinformation. A labeled dataset is prepared where each tweet is assigned one of the four reaction polarities, namely, E (endorse), D (deny), Q (question), and N (neutral). Analysis of collected data was carried out in five phases where we investigate the engagement of E, D, Q, and N users, tone of the tweets, and the consequence upon repeated exposure of such information. The evidence demonstrates that the circulation of such content during the pandemic and lockdown phase had made people more vulnerable in perceiving the unreliable tweets as fact. It was also observed that people absorbed the negativity of the online content, which induced a feeling of hatred, anger, distress, and fear among them. People with similar mindset form online groups and express their negative attitude to other groups based on their opinions, indicating the strong signals of social unrest and public tensions in society. The paper also presents a deep learning-based stance detection model as one of the automated mechanisms for tracking the news on Twitter as being potentially false. Stance classifier aims to predict the attitude of a tweet towards a news headline and thereby assists in determining the veracity of news by monitoring the distribution of different reactions of the users towards it. The proposed model, employing deep learning (convolutional neural network(CNN)) and sentence embedding (bidirectional encoder representations from transformers(BERT)) techniques, outperforms the existing systems. The performance is evaluated on the benchmark SemEval stance dataset. Furthermore, a newly annotated dataset is prepared and released with this study to help the research of this domain. Full article

The global pandemic of COVID-19 brought about the transition to Emergency Remote Teaching (ERT) at higher education institutions across the United States, prompting both students and the faculty to rapidly adjust to a different modality of teaching and learning. Other crises have induced disruptions to academic continuity (e.g., earthquakes, hurricanes), but not to the same extent as COVID-19, which has affected universities on a global scale. In this paper, we describe a qualitative case study where we interviewed 11 second-year Integrated Engineering students during the Spring 2020 semester to explore how they adapted to the transition to remote learning. Our results revealed several student challenges, how they used self-discipline strategies to overcome them, and how the faculty supported students in the classroom through a compassionate and flexible pedagogy. Faculty members showed compassion and flexibility by adjusting the curriculum and assessment and effectively communicating with students. This was especially important for the women participants in this study, who more frequently expressed utilizing pass/fail grading and the personal and gendered challenges they faced due to the pandemic. During this unprecedented crisis, we found that a key element for supporting students’ well-being and success is the faculty members communicating care and incorporating flexibility into their courses. Full article

The occupational hazards of health workers (HWs) in standard work environments have been well defined in both the developed and developing world during routine working conditions. Less defined are the hazards to HWs during pandemics, epidemics, natural disasters, wars, conflicts, and other crises. How do crises affect the infrastructure of medical systems? What are the distinct needs of the patient population during crises? What are the peculiarities of the Crisis Health Worker (CHW)? What are the known CHWs’ occupational risks? What are the protective factors? By means of a PubMed search, we synthesized the most relevant publications to try to answer these questions. Failures of healthcare infrastructure and institutions include CHW shortages, insufficient medical supplies, medications, transportation, poorly paid health workers, security concerns, and the absence of firm guidance in health policy. Healthcare needs affecting the patient population and CHWs include crisis-induced injury and illness, hazardous exposures, communicable diseases, mental healthcare, and continuity of care for pre-crisis medical conditions. CHWs’ occupational hazards include supply deficiencies, infectious disease transmission, long working hours, staff shortages, financial reimbursements, mental fatigue, physical exhaustion, and inconsistent access to clean water, electricity, and Internet. CHWs suffer from injuries and illnesses that range from immediate, debilitating injuries to chronic, unforeseen effects like mental fatigue, physical exhaustion, anxiety, burnout, and even post-traumatic stress syndrome (PTSD). Protective factors include personal traits such as adaptability and resilience as well as skills learned through structured education and training. Success will be achieved by constructively collaborating with local authorities, local health workers, national military, foreign military, and aid organizations. Full article

Urban sustainability and justice depend upon the flow of water across complex urban space. Yet, the characteristics of urban space produce a fragmented sense of our water resources. Cape Town, South Africa, the context of this research, is one such city whose water challenges have been exacerbated by climate change-induced drought, to the extent that the city nearly shut off the water running to residents’ taps. This context presents a particular challenge for the focus of this special issue, transformative and transgressive learning, an emerging arena of thought and practice concerned with learning processes that might foster more sustainable socio-ecological relations. The empirical material for this research draws from 12 arts-based inquiry workshops run with youth in an environmental organisation over four months, exploring a local water crisis. The data were generated through an engaged arts-based research process. The paper traces how transformative and transgressive learning in the context of urban water crisis might be characterised as making (non)sense by bringing the empirical material into dialogue with five entry points of transformative and transgressive learning literature rooted in Freirean educational praxis. This paper crafts and engages the concept of making (non)sense, a way of thinking about qualities and processes of learning praxis that responds to the wicked sustainability challenges we face today, particularly in terms of a Global South perspective. I argue such a praxis needs qualities and processes that disrupt and trouble the norm in the context of the socio-ecological challenge of urban water. Full article