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Informal migrant workers and street vendors have long been recognized as vulnerable groups in urban areas of Global South countries. However, limited studies exist on the economic challenges faced by migrant street vendors during crises. We aim to address this gap by shedding light on their livelihood and welfare losses during a public health crisis.

This research uses descriptive and qualitative analyzes to triangulate the results. Data are derived from surveys and in-depth interviews with migrant street vendors in the two biggest cities in Vietnam during the COVID-19 pandemic.

The street vendors experienced significant business loss and consumption reduction during social distancing as well as encountered difficulties in recovering their businesses in the “new normal.” These adverse consequences were also found to disproportionately affect women vendors. Additionally, despite adopting various strategies and mitigation mechanisms to sustain their businesses and consumption, these efforts proved insufficient.

This research underscores the importance of short-term and long-term urban policies aimed at supporting and promoting the social inclusion of street vendors, particularly migrant and women vendors.

This research represents one of the early attempts to explore the adverse effects of a public health crisis on migrant street vendors and to examine whether the crisis disproportionately affected vendors from different genders and educational backgrounds. It also examines their business recovery in the “new normal.”

This paper aims at assessing the impact of a number of behavioral interventions on the willingness of informal businesses, in the Egyptian informal sector, to join the formal sector.

This paper uses an experimental methodology to examine the impact of behavioral interventions on the formalization of the Egyptian informal sector. Specifically, it conducts a survey experiment on a total of 240 informal businesses, operating in the Egyptian informal sector. The primary data collected from the survey experiment is then analyzed using a binary logistic regression to assess the impact of the behavioral primes on the probability of joining the formal market.

The empirical findings of the survey experiment indicate that the biggest obstacle facing informal businesses is finding a formal source of finance that could help them in penetrating the market. Providing informal businesses with information on funding opportunities offered by the ministry of micro, small and medium enterprises (MSME) significantly increased the probability of joining the formal sector to benefit from this opportunity.

This paper is the first to apply behavioral primes, in the form of informational cues, to the Egyptian case of informal business owners. Previous research on the use of behavioral nudges and primes has focused mainly on the western economies.

The purpose of this study is to assess the impact of the shadow economy on three sustainable development indicators while considering the moderating effect of the governance quality, and to highlight the non-linearity of the considered relationship.

A sample of 82 countries covering the period from 1996 to 2017. The dynamic first-differenced generalized method of moments (FD-GMM) panel threshold model is implemented to control for non-linearity.

The shadow economy hinders sustainable development in countries with low-governance quality, while the opposite result holds in countries with high-governance quality. The critical thresholds triggering the switch from one regime to another vary across the sustainable development indicators. Boosting growth requires enhancing the legal system and the economic dimension of governance, while promoting environmental quality requires the implementation and enforcement of specific environment-friendly regulations.

The study addresses non-linearity and the moderating effect of governance quality. The use of six governance indicators allows to gauge the ability of each governance dimension to curb the negative effects of the shadow economy. Considering the three objectives of sustainable development allows to identify specific policy recommendations for each of them.

In developing countries, women microentrepreneurs are characterized as being informal, creating a challenge for the sustainability of their businesses. The purpose of this study is to analyze different businesses that adopt this form of operation arguing that formality is unnecessary because they are legitimate businesses (institutional reason). In addition, the role of gender in business management was incorporated, and the consistency of the results was validated in the context of COVID-19.

This study used data from the National Household Survey of Peru for the development of a compared analysis between the period 2018–2019 (pre-COVID-19), made up of a sample of 14,077 observations, and the period 2020–2021 (COVID-19), with 7,922 observations. The unit of analysis was the informal microenterprise with more than three years of operation, and the data was analyzed using a logistic model.

The probability of adopting informality for institutional reasons is more significant in the case of women in contrast to the men when it is a business belonging to the commerce sector and operating in a dwelling with basic services, while this probability decreases if the firm does not have a fixed location. These results are consistent in pre-COVID-19 and COVID-19 periods.

The purpose of this research was to contribute to closing gaps in the generation of evidence that helps to understand the behavior of informal microentrepreneurs in developing countries, allowing a better approach to this problem for the design and implementation of suitable public policies. All this will contribute to the accomplishment of the Sustainable Development Goals.

En países en desarrollo, las mujeres microempresarias se caracterizan por ser informales generando un desafío para la sostenibilidad de sus negocios. La presente investigación analizó diferentes negocios que adoptan esta forma de operación con el argumento de que la formalidad no es necesaria porque son negocios legítimos (motivo institucional); además, se incorporó el rol del género en la gestión del negocio, y se validó la consistencia de los resultados en un contexto de COVID-19.

Se utilizaron datos de la Encuesta Nacional de Hogares de Perú para el desarrollo de un análisis comparado entre el período 2018–2019 (pre-COVID-19), compuesto por una muestra de 14.077 observaciones, y el período 2020–2021 (COVID-19), con 7.922 observaciones. La unidad de análisis es la microempresa informal con más de tres años de operación y los datos son analizados mediante un modelo logístico.

Resulta mayor la probabilidad de adoptar la informalidad por motivos institucionales en el caso de las propietarias en contraste con los propietarios, cuando se trata de un negocio perteneciente al sector comercio y que funciona en una vivienda con servicios básicos, mientras que disminuye esta probabilidad si el negocio no posee un local fijo. Estos resultados son consistentes en tiempos de pre-COVID-19 y COVID-19.

La investigación tiene por fin contribuir al cierre de brechas en la generación de evidencia que ayude a comprender el comportamiento de las mujeres microempresarias informales en países en desarrollo, permitiendo una mayor aproximación a esta problemática para el diseño e implementación de políticas públicas adecuadas. Todo esto contribuirá con los Objetivos de Desarrollo Sostenible.

Nos países em desenvolvimento, as mulheres microempreendedoras caracterizam-se por serem informais, criando um desafio para a sustentabilidade dos seus negócios. A presente investigação analisou diferentes negócios que adotam essa forma de operação com o argumento de que a formalidade não é necessária por serem negócios legítimos (razão institucional); além disso, foi incorporado o papel do gênero na gestão empresarial e se validou a consistência dos resultados num contexto de COVID-19.

Se utilizaram dados da Pesquisa Nacional de Domicílios do Peru para desenvolver uma análise comparativa entre o período 2018–2019 (pré-COVID-19), composto por uma amostra de 14.077 observações, e o período 2020–2021 (COVID-19), com 7.922 observações. A unidade de análise é a microempresa informal com mais de três anos de operação e os dados são analisados através de um modelo logístico.

Resulta maior a probabilidade de adoção da informalidade por motivos institucionais no caso das proprietárias em contraste com os proprietários, quando se trata de um negócio pertencente ao setor do comércio e que funciona numa casa com serviços básicos, enquanto esta probabilidade diminui se o negócio não tem local fixo. Estes resultados são consistentes em tempos pré-COVID-19 e COVID-19.

A pesquisa tem como objetivo contribuir no fechamento de brechas na geração de evidências que ajude a compreender o comportamento dos microempreendedores informais nos países em desenvolvimento, permitindo uma melhor abordagem desta problemática para o desenho e implementação de políticas públicas adequadas. Tudo isto contribuirá para o cumprimento dos Objetivos de Desenvolvimento Sustentável.

This study aims to focus on key approaches to education for sustainability (EfS) leadership development in the context of Malaysian and Japanese universities. The authors identify key indicators of effective EfS leadership development approaches using both descriptive and inferential analyses, identify and compare the preferred leadership learning methods of academics and examine the impact of marital status, country of residence and administrative position on the three EfS leadership development approaches.

The study is quantitative in approach and survey in design. Data were collected from 664 academics and analysed using the efficient partial least squares (PLSe2) methodology. To provide higher education researchers with more analytical insights, the authors re-estimated the models based on the maximum likelihood methodology and compared the results across the two methods.

The inferential results underscored the significance of four EfS leadership learning methods, namely, “Involvement in professional leadership groups or associations, including those concerned with EfS”, “Being involved in a formal mentoring/coaching program”, “Completing formal leadership programs provided by my institution” and “Participating in higher education leadership seminars”. Additionally, the authors noted a significant impact of country of residence on the three approaches to EfS leadership development. Furthermore, although marital status emerged as a predictor for self-managed learning and formal leadership development (with little practical relevance), administrative position did not exhibit any influence on the three approaches.

In addition to the theoretical and methodological implications drawn from the findings, the authors emphasize a number of practical implications, namely, exploring the applicability of the results to other East Asian countries, the adaptation of current higher education leadership development programmes focused on the key challenges faced by successful leaders in similar roles, and the consideration of a range of independent variables including marital status, administrative position and country of residence in the formulation of policies related to EfS leadership development.

This study represents an inaugural international comparative analysis that specifically examines EfS leadership learning methods. The investigation uses the research approach and conceptual framework used in the international Turnaround Leadership for Sustainability in Higher Education initiative and uses the PLSe2 methodology to inferentially pinpoint key learning methods and test the formulated hypotheses.

The purpose of this paper is twofold: first, to present a rigorous bibliometric analysis and a systematic literature review of the critical success factors (CSFs) for Building information modelling (BIM)-based digital transformation; second, to identify the relationship between the dimensions in favour of BIM implementation.

This study adopts a two-step approach to combine bibliometric and systematic literature review to explore the research topic of BIM and CSFs. Bibliometric tools such as Biblioshiny in R language and Ucinet software were applied to this study.

Besides identifying the two most influential authors (e.g. Bryde and Antwi-Afari), the key journal for disseminating articles, and the most influential countries in this discourse (e.g. Hong Kong and Australia), the study also identifies four pivotal research themes derived from the co-occurrence analysis of keywords: the fusion of sustainability and technology with BIM; practical application and its integration within construction management; innovation and engineering paradigms; and the advent of emerging technologies (e.g. Blockchain) within developing nations. Additionally, the paper introduces a comprehensive framework for selecting CSFs pertinent to BIM-centred digital transformation as viewed through the lens of dynamic capabilities.

This paper establishes a link between dynamic capabilities theory, CSFs, and BIM dimensions, presenting a multifaceted framework guiding future paths and offering practical insights for managerial and political decision-makers engaged in digital transformation endeavours. The study positions dynamic capabilities as pivotal, aligning digital technologies with continuous business performance, and advocates for a strategic focus on digital transformation.

To address the absence of Lean in transportation logistics in the digital era, this study aims to investigate the application of Lean transportation (LT) tools to reduce waste and facilitate the digital transformation of dedicated road transportation in the offshore industry.

The study adopts action research with a multimethod approach, including a scoping review, focus groups (FG) and participant observation. The research is conducted within the offshore supply chain of a major oil and gas company.

Implementing LT’s continuous improvement tools, particularly value stream mapping (VSM), reduces offshore transportation waste and provides empirical evidence about the intersection of Lean and digital technologies. Applying techniques drawn from organisational learning theory (OLT), stakeholders involved in VSM mapping and FGs engage in problem-solving and develop action plans, driving digital transformation. Waste reduction in loading and unloading stages leads to control actions, automation and process improvements, significantly reducing downtime. This results in an annual monetary gain of US$1.3m. The study also identifies waste related to human effort and underutilised digital resources.

This study contributes to theory and practice by using action research and LT techniques in a real intervention case. From the lens of OLT, it highlights the potential of LT tools for digital transformation and demonstrates the convergence of waste reduction through Lean and Industry 4.0 technologies in the offshore supply chain. Practical outputs, including a benchmarking questionnaire and a plan-do-check-act cycle, are provided for other companies in the same industry segment.

This research aims to investigate the impact of missing visual information on tourists’ decision-making processes and visit intention. Drawing on perception completion law and signaling theory, the study hypothesized that tourists might use visual information to infer about a destination, even if the information is incomplete or ambiguous.

To assess the impact of missing visual information, the authors asked a group of 392 participants who had no prior familiarity with a specific garden museum to envision the interior environment of the museum garden and provide feedback on their emotional responses and aesthetic evaluations. To aid in their imagination, they were presented with a video showcasing the surrounding landscape and exterior of the museum.

The study found that participants could anticipate their overall experience of the location by inferring the resemblance of unseen areas to the images they had viewed, even without prior exposure or information. This study provides valuable insights into the cognitive processes underlying tourism decision-making and advances our understanding of how people form expectations of new and unfamiliar places.

The originality of this research relies on the mediating role of missing aesthetics and emotion on the relationship between available aesthetics and visit intention using a structural model. This study highlights the significant role of visual information in influencing tourist decision-making, even with incomplete or ambiguous data.

Sharing and disseminating debunking information are critical to correcting rumours and controlling disease when dealing with public health crises. This study investigates the factors that influence social media users' debunking information sharing behaviour from the perspective of persuasion. The authors examined the effects of argument adequacy, emotional polarity, and debunker's identity on debunking information sharing behaviour and investigated the moderating effects of rumour content and target.

The model was tested using 150 COVID-19-related rumours and 2,349 original debunking posts on Sina Weibo.

First, debunking information that contains adequate arguments is more likely to be reposted only when the uncertainty of the rumour content is high. Second, using neutral sentiment as a reference, debunking information containing negative sentiment is shared more often regardless of whether the government is the rumour target, and information containing positive sentiment is more likely to be shared only when the rumour target is the government. Finally, debunking information published by government-type accounts is reposted more often and is enhanced when the rumour target is the government.

The study provides a systematic framework for analysing the behaviour of sharing debunking information among social media users. Specifically, it expands the understanding of the factors that influence debunking information sharing behaviour by examining the effects of persuasive cues on debunking information sharing behaviour and the heterogeneity of these effects across various rumour contexts.

In this study, the authors propose a confirmatory factor analysis (CFA) to create a tenable measurement model and identify the factors that have the potential to enhance awareness of pro-environmental measures. The successful implementation of demand response (DR) programs and their required infrastructure is significant for moving towards green energy communities and a better environment for living. Not only can renewable energy capacities contribute to this desideratum, but also electricity consumers who, until the last decade, have played a passive role.

To answer these questions, a complex data set of 243 post-trial questions created by the Irish CER are analyzed using first-order and hierarchical CFA models with several SAS procedures (PROC CALIS, MIANALYZE). The questionnaire was launched to over 3,000 electricity consumers from Ireland that were participants to a trial program after the installation of smart metering systems and implementation of DR programs.

The effect of five latent factors – positive attitude, negative attitude, perceived impact of own actions, price- and incentive-DR programs – is measured. With a bi-factor CFA measurement model, the authors assess that they significantly influence the electricity consumers' awareness.

However, these findings have to be backed up by relevant information and simulations showing consumers benefits in exchange to their efforts. They have research implications on the design of the business models and DR programs pointing out the importance of benefits and fairness of value sharing mechanisms within energy communities.

Thus, the electricity consumers may change their consumption behavior as they positively perceive the implementation of DR programs.

This paper fulfills an identified need to study post-trial questionnaire and reveal latent factors that make electricity consumer change their behavior.