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The objective of the study is to understand the relationship between entrepreneurial orientation (EO), employers' organizational commitment to their employees (OCE), employees' perception of the adequacy of budgetary resources (BRs), and firm performance in Malaysian and Chilean firms. A survey of 165 managers finds that EO has a significant positive relationship with performance. Additionally, the perceptions about the adequacy of the BR have a significant positive effect on performance. And in the Chilean subsample, the OCE interacts positively with perceptions of budget resource adequacy to affect the firm performance. The total effect of EO on performance is similar across both countries despite the EO being higher in Malaysia and perceptions of budget resource adequacy being higher in Chile. The study highlights the contribution to the literature on the EO – performance relationship – and emphasizes the importance of providing adequate resources to enhance the psychological safety of employees working in less developed countries.

Challenge-based learning (CBL) has gained acceptance as a contemporary and progressive teaching pedagogy that provides a holistic and inclusive experience to learners in higher education (HE) institutions. However, its lack of appeal to non-STEM subjects and the need for further development, particularly concerning improved approaches, have been recognized. It seems that CBL runs the risk of becoming a portmanteau pedagogy that blends aspects of problem-based learning, project-based learning, and situated learning, as opposed to its development as an effective pedagogy tool. This points to a lack of a formal implementation framework, code of practice, and standard procedures for its delivery. We argue that blending a design thinking (DT) pedagogy with CBL can potentially provide the stability that CBL currently lacks. At the same time, it also presents a more inclusive proposition to potential non-STEM audiences. Thus, in this chapter, we seek to interrogate the intersectionality between CBL and DT literature in the context of HE teaching and learning with a view of establishing CBL as a pedagogy in its own right. We attempt to achieve this by systematically analyzing the separate literature to reveal the synergies and common touchpoints.

Examine and understand how an informal volunteer’s goals and actions develop from the moment they first learn about a disaster.

We examine informal volunteerism (the activities of people who work outside of formal emergency and disaster management arrangements) through the theoretical lens of entrepreneurial effectuation to explain informal volunteer behavior and cognition and gain insight on how they develop their disaster relief ventures.

We find that informal volunteers follow an effectual logic, relying on available means to take advantage of opportunities as they are recognized or created. Application of effectuation vs causation processes depended on whether the informal volunteers were categorized as traditional, emergent or extended volunteers.

Informal volunteers’ disregard for the Affordable Loss Principle task governments and disaster relief organizations with the important challenge of managing and assuring the safety and well-being of informal volunteers. Their entrepreneurial behavior also invites the establishment of formal processes to counsel and guide informal volunteers, helping them fill out the necessary paperwork and funding applications to develop their efforts.

Through their experimentation and flexibility, informal volunteers accelerate disaster recovery, recognizing opportunities, working around bureaucracy and other roadblocks that hinder the efforts of established organizations. They also demonstrate entrepreneurial behavior that helps revitalize and jumpstart the local economy, making for stronger and more resilient communities

This study borrows from Effectuation Theory from the entrepreneurship field in order to bring a much needed theoretical lens to the topic and greatly assists informal volunteerism research, moving from past efforts that simply define and categorize the concept.

The beliefs about this subject of N = 223 secondary education teachers were collected through an ex post facto research method using a descriptive and correlational design and a 27-item questionnaire.

The arrival of online learning, in this case m-learning, to secondary education, has made educators in this stage incorporate digital resources, such as Smartphones or mixed reality (MR), to their classroom methodologies. The present study describes the results obtained in the project design, implementation and evaluation of MR materials in learning environments (PID2019-108933GB-I00). The starting general objective is to determine the perception of Compulsory Education teachers-in-training from the areas of Experimental Sciences, Engineering and Architecture, and Health Sciences, on the use of MR as a teaching tool under the m-learning modality.

The main conclusion obtained was that neither sex nor age had an influence on the use of MR in the classroom, and its use was determined by elements associated with the classroom methodology, such as collaborative work and attention to diversity, which took place in the education center.

The main obstacle found when conducting the research was being able to access the general population of teachers-in-training in the aforementioned Master's program.

The value of the article lies in publicizing the knowledge that secondary school teachers have of MR and giving clues to create training actions that encourage its incorporation into the classroom methodology.

The formalization of a company is a process that requires compliance with standards established by government institutions. In developing countries, many businesses start this process, but do not finish it, with different levels of formality. The objective of this research is to analyze how the perception of entrepreneurs about bureaucratic procedures and the sector determine the level of formality regarding an established company that has taken the first step to formality.

The National Survey of Micro and Small Enterprises (MSEs) is used with a sample of 4,619 Peruvian MSEs with more than three years of operation within the manufacturing and services sector. The data are analyzed with the ordered logistic regression technique.

The results show that the more favorable the perception of entrepreneurs about the ease of bureaucratic procedures, the higher the level of business formality; and companies in the manufacturing sector are less formal than those in the services sector. In addition, the perceptions of entrepreneurs positively moderate the level of formality in the case of companies in the manufacturing sector.

Levels of formality in established companies are analyzed, defined by the compliance degree with the requirements to be a formal company. The literature on business informality in emerging countries is expanded, particularly in Latin America, incorporating the analysis of the formalization process.

La formalización de una empresa es un proceso que exige el cumplimiento de normas establecidas por las instituciones de gobierno. En países en desarrollo, muchas empresas empiezan este proceso, pero no lo terminan, existiendo diferentes niveles de formalidad. El objetivo de esta investigación es analizar cómo la percepción de los empresarios sobre los trámites burocráticos y el sector determina el nivel de formalidad de una empresa establecida que ha dado el primer paso hacia la formalidad.

Se utiliza la Encuesta Nacional de la Micro y Pequeña Empresa con una muestra de 4.619 micro y pequeñas empresas peruanas de los sectores de manufactura y servicios con más de tres años de operación. Los datos son analizados con la técnica de regresión logística ordenada.

Los resultados muestran que cuanto más favorable es la percepción de los empresarios sobre la facilidad de los trámites burocráticos mayor es el nivel de formalidad empresarial, y las empresas del sector manufactura son menos formales que las del sector servicios. Además, las percepciones de los empresarios moderan positivamente en el nivel de formalidad para el caso de las empresas del sector manufactura.

Se analizan niveles de formalidad en empresas establecidas, definidas por el grado de cumplimiento de las exigencias para ser una empresa formal. Se amplía la literatura sobre informalidad empresarial en países emergentes, particularmente en América Latina, incorporando el análisis del proceso de formalización.

The purpose of this paper is to review the recent studies on opinion polarization and disagreement.

In this work, recent advances in opinion polarization and disagreement and pay attention to how they are evaluated and controlled are reviewed.

In literature, three metrics: polarization, disagreement and polarization-disagreement index are usually adopted and there is a tradeoff between polarization and disagreement. Different strategies have been proposed in literature which can significantly control opinion polarization and disagreement based on these metrics.

This review is of crucial importance to summarize works on opinion polarization and disagreement and to the better understanding and control of them.

The effects of the COVID-19 pandemic have been devastating to countries around the world. Much of the problem has been the need to contain the infection via harsh social movement restrictions while having the necessary policies to cushion the ensuing economic blows that follow them. This study aims to look at The Association of Southeast Asian Nations (ASEAN) countries and assess the good practices that are associated with those which performed relatively better than the rest.

The authors use data envelopment analysis (DEA) to identify the most efficient country among the ASEAN nations in dealing with the pandemic and observe their practices with regard to the movement control metrics.

One particular country stood out in this regard, which is Singapore. The authors observed that its social restrictions were less stringent than many others yet its management of the pandemic has been highly successful despite having had the highest number of cases at one stage in 2020. This suggests massive lockdowns may not necessarily be the solution. However, the nation did place a high priority in having a high-income support, effective public campaigning and very restrictive policy on public events. In terms of originality and value, this paper uses DEA in identifying the best practice among ASEAN countries in dealing with the pandemic, both from an economic and medical perspectives.

To the best of the authors’ knowledge, no other papers have used this approach. The authors hope the findings can be of some value to policymakers in designing better (public) policies when it comes to dealing with pandemics in the future.

This study aims to evaluate the dynamics between healthcare resource capacity expansion and disease spread. Further, the study estimates the resources required to respond to a pandemic appropriately.

This study adopts a system dynamics simulation and scenario analysis to experiment with the modification of the susceptible exposed infected and recovered (SEIR) model. The experiments evaluate diagnostic capacity expansion to identify suitable expansion plans and timelines. Afterwards, two popularly used forecasting tools, artificial neural network (ANN) and auto-regressive integrated moving average (ARIMA), are used to estimate the requirement of beds for a period when infection data became available.

The results from the study reflect that aggressive testing with isolation and integration of quarantine can be effective strategies to prevent disease outbreaks. The findings demonstrate that decision-makers must rapidly expand the diagnostic capacity during the first two weeks of the outbreak to support aggressive testing and isolation. Further, results confirm a healthcare resource deficit of at least two months for Delhi in the absence of these strategies. Also, the study findings highlight the importance of capacity expansion timelines by simulating a range of contact rates and disease infectivity in the early phase of the outbreak when various parameters are unknown. Further, it has been reflected that forecasting tools can effectively estimate healthcare resource requirements when pandemic data is available.

The models developed in the present study can be utilised by policymakers to suitably design the response plan. The decisions regarding how much diagnostics capacity is needed and when to expand capacity to minimise infection spread have been demonstrated for Delhi city. Also, the study proposed a decision support system (DSS) to assist the decision-maker in short- and long-term planning during the disease outbreak.

The study estimated the resources required for adopting an aggressive testing strategy. Several experiments were performed to successfully validate the robustness of the simulation model. The modification of SEIR model with diagnostic capacity increment, quarantine and testing block has been attempted to provide a distinct perspective on the testing strategy. The prevention of outbreaks has been addressed systematically.

This study aims to examine the role of hope and hate in political leaders’ messages in influencing liberals versus conservatives’ social-distancing behavior during the COVID-19 pandemic. Given the increasing political partisanship across the world today, using the appropriate message framing has important implications for social and public policy.

The authors use two Natural Language Processing (NLP) methods – a pretrained package (HateSonar) and a classifier built to implement our supervised neural network-based model architecture using RoBERTa – to analyze 61,466 tweets by each US state’s governor and two senators with the goal of examining the association between message factors invoking hate and hope and increased or decreased social distancing from March to May 2020. The authors examine individuals’ social-distancing behaviors (the amount of nonessential driving undertaken) using data from 3,047 US counties between March 13 and May 31, 2020, as reported by Google COVID-19 Community Mobility Reports and the New York Times repository of COVID-19 data.

The results show that for conservative state leaders, the use of hate increases nonessential driving of state residents. However, when these leaders use hope in their speech, nonessential driving of state residents decreases. For liberal state leaders, the use of hate displays a directionally different result as compared to their conservative counterparts.

Amid the emergence of new analytic techniques and novel data sources, the findings demonstrate that the use of global positioning systems data and social media analysis can provide valuable and precise insights into individual behavior. They also contribute to the literature on political ideology and emotion by demonstrating the use of specific emotion appeals in targeting specific consumer segments based on their political ideology.

The findings have significant implications for policymakers and public health officials regarding the importance of considering partisanship when developing and implementing public health policies. As partisanship continues to increase, applying the appropriate emotion appeal in messages will become increasingly crucial. The findings can help marketers and policymakers develop more effective social marketing campaigns by tailoring specific appeals given the political identity of the consumer.

Using Neural NLP methods, this study identifies the specific factors linking social media messaging from political leaders and increased compliance with health directives in a partisan population.