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The purpose of this paper is to explore and understand the needed entrepreneurial actions required to attain sustainability during the COVID-19 pandemic. Social entrepreneurial sustainability is defined as the process of developing sustainable solutions for social, economic or environmental problems that are not being addressed by the market. This paper intends to get a clearer picture of how social entrepreneurial sustainability is affected by the exogenous shocks caused by the pandemic.

A qualitative exploratory approach using a case study design was used. Semi-structured interviews with five CEOs and founders of accredited social enterprises in Malaysia that have proven sustainable were conducted. Triangulation was applied in this study through three different data sources to confirm and validate the emerging findings.

The findings reveal various innovative revenue-generating activities and business processes taken by social entrepreneurs to be sustainable during the COVID-19 pandemic, such as pivoting and forging new partnerships. Themes such as technical innovation and social innovation are critical concepts that need to be differentiated and understood. The introduction of a new construct termed “mission agility” will be of significant interest to academicians studying social entrepreneurship and sustainability.

The practical implications of this study suggest that if social enterprises implement the recommended strategies, they may achieve both short-term and long-term social entrepreneurial sustainability during the pandemic crisis and progressively into the post-pandemic era.

This study is unique by using two methods of data collection. By providing vital empirical evidence through primary and secondary data, the paper will offer robust findings and proposes recommendations on entrepreneurial strategies to foster the recovery and sustainability of social enterprises during the COVID-19 pandemic.

This piece of research provides an overview on supplementary education in Brazil based on the available literature.

Literature review.

In a country plenty of social and educational contrasts, student failure and high repetition rates in basic education are the main factors of supplementary education flourishing. Additional factors are the quick expansion of access at all levels of schooling and the ascension of a new lower middle class that can afford to pay for supplementary tutoring. Tutors at their homes and in small offices are still one of the most common means for students who want to overcome their difficulties and improve their knowledge and skills. However, franchising outlets have grown since the 1980s and in particular the 1986 with the winds of globalization. Their most important branches are foreign languages and preparatory courses, especially for college entrance and public servant selection examinations. This branch of business has been financially very attractive for entrepreneurs. Official data on family budget show that families spend each year a significant amount of resources, impacting the sophistication and complexity of the supplementary education market. In sum, supplementary education is a result of quality deficiencies and inequity. At the same time, it increases the lack of equity between students from different human capital backgrounds.

Main limitation is that research on supplementary education in Brazil is still recent and scarce. On the other hand, till now, no public policy has paid attention to this phenomenon.

Public policy, research, and evaluation fields must consider the phenomenon of supplementary education in Brazil as an important variable contributing to inequity and to academic performance. This chapter calls attention to the need of increasing research on this issue.

As it is more valued and easily available to relatively more privileged social groups, supplementary education in Brazil contributes to increasing education inequity.

This chapter contributes to improving knowledge on supplementary education in Brazil, and its causes and implications. This portrait of the Brazilian scenario can also be instrumental for comparative education purposes at regional and global levels.

The antique structures are part of the inheritance that our elders left, being important to preserve their memories. It is important to preserve, rehabilitate and restore the historic buildings protecting the cultural patrimony, attending to the actual comfort and habitability requirements. It is necessary to study the behaviour of the various elements that compose antique structures (masonry and wood) in order to develop assessment measures according to the characteristics of the original materials. The paper aims to discuss these issues.

An experimental campaign to characterize the mechanical behaviour of the wood of the roof of the “sequeiro” of “Quinta Lobeira de Cima”, a building from the twentieth century located in Minho, was carried out. The tested wood specimens are from two different species: chestnut and oak. Compression, tension and static flexion tests according to parallel to the grain direction were performed. Other parameters, such as density, moisture content and longitudinal modulus of elasticity in compression and in tension, were also obtained. The measurement of displacements was made with Digital Image Correlation (DIC).

The results of this study show the similarity between experimental and empirical values for the studied woods species.

This original study aimed at characterizing the mechanical properties using DIC of wood of the roof of the “sequeiro” of “Quinta Lobeira de Cima”, a building from the twentieth century located in Minho (Portugal). This study is part of master thesis of João Martins, an original research work.

Due to recent technological advances, the retail industry has changed significantly. This paper examines a novel unmanned retail mode-unattended convenience store to identify the possible operational problems and develop appropriate managerial recommendations.

A data-driven two-stage epsilon-based measure (EBM) data envelopment analysis (DEA) method was developed to evaluate operational performance data from 33 unattended convenience stores and assess the impacts on efficiency of the internal factors, and a Tobit regression analysis was employed to examine the external environment.

It was found that the overall economic performances were relatively low and fluctuated significantly; however, the social performances were slightly higher. The out-of-stock rate was found to have a negative impact on efficiency, and regional characteristics were found to have significant effects on performance.

This study sought to identify current operational problems with unattended convenience stores to provide managerial insights. The cross-sectional assessment suggested that to achieve better performance, particular attention needed to be paid to store locations and surrounding store environments.

First, this paper establishes a novel theoretical framework to evaluate the economic and social operational performances at unattended convenience stores. Second, it contributes to research on unattended convenience stores and the unmanned retail industry and offers significant guidance on detecting operational deficiencies and improving future performances.

In the context of strategic marketing and market commitment models, modeling of brand switching behaviour of consumers is of extreme use in determining the performance potential of the existing players. This paper revisits the static models of Ehrenberg and Hendry and introduces a dynamic model of brand switching based on market shares. In terms of a χ² measure of closeness, these three models have been compared to ascertain their modeling performances. A case study has been carried out for the field of sanitary napkin to give some further insight into this problem. Studies have also been included for a few FMCG items. In all the cases, the proposed model gives a better description of the actual situation than the existing static models.

The purpose of this study is to address three managerial issues in a retail network under a centralised regime, including resource allocation, expansion and downsizing. In particular, this study investigates how to optimise resource allocation across retailers and how to decide the optimal size of a retail network for an empirical case, where 27 retailers belong to an automobile parts supplier in Taiwan.

The centralised data envelopment analysis (DEA) approach is used to optimise resource allocation among retailers and to seek the possibility of either an expansion and/or downsizing for a retail network.

The case company knows the best way to (re)allocate its available resources and (re)arrange the outcome goals for its own retailers. The 27 retailers are assigned specific targets for input and output adjustments to become Pareto or technically efficient units. Besides, an experiment is designed to measure how changing the number of retailers affects the group efficiency of the retail network. To keep the current aggregated output level of the retail network, the centralised supplier needs at least 24 retailers. However, the retail network with 37 retailers can achieve maximal group efficiency.

Centralised resource allocation is an inherent feature of most supplier-retailer relationships, where the supplier is usually a central planner with the power to allocate available resources among its own retailers. To the best of our knowledge, this is the first study to assess retail performance under a centralised regime.

The purpose of this paper is to investigate students' adoption intention (ADI) and actual usage (ATU) of artificial intelligence (AI)-based teacher bots (T-bots) for learning using technology adoption model (TAM) and context-specific variables.

A mixed-method design is used wherein the quantitative and qualitative approaches were used to explore the adoption of T-bots for learning. Overall, 45 principals/directors/deans/professors were interviewed and NVivo 8.0 was used for interview data analysis. Overall, 1,380 students of higher education institutes were surveyed, and the collected data was analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) technique.

The T-bot's ADI’s antecedents found were perceived ease of use, perceived usefulness, personalization, interactivity, perceived trust, anthropomorphism and perceived intelligence. The ADI influences the ATU of T-bots, and its relationship is negatively moderated by stickiness to learn from human teachers in the classroom. It comprehends the insights of senior authorities of the higher education institutions in India toward the adoption of T-bots.

The research provides distinctive insights for principals, directors and professors in higher education institutes to understand the factors affecting the students' behavioral intention and use of T-bots. The developers and designers of T-bots need to ensure that T-bots are more interactive, provide personalized information to students and ensure the anthropomorphic characteristics of T-bots. The education policymakers can also comprehend the factors of T-bot adoption for developing the policies related to T-bots and their implications in education.

T-bot is a new disruptive technology in the education sector, and this is the first step in exploring the adoption factors. The TAM model is extended with context-specific factors related to T-bot technology to offer a comprehensive explanatory power to the proposed model. The research outcome provides the unique antecedents of the adoption of T-bots.