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Using self-determination theory and individual social responsibility’s (ISRs) association with pure social entrepreneurship, this study aims to answer the following question: How and why have the different actors responded to the crisis caused by the pandemic?

Qualitative research (multiple case studies) was adopted, resorting to interviewees with seven economic and non-economic actors in the Portugal context.

The results obtained, using MAXQDA software, show that those carrying out actions of social responsibility have a high degree of self-determination and intrinsic motivation, and are true social entrepreneurs, which lets them improve the well-being of those around them. In addition, these individuals feel good about themselves by performing these actions, as they measure their performance by the social impact of their actions on society in general.

This study suggest there is a high awareness amongst people to exercise that responsibility in a voluntary way, through humanitarian initiatives and campaigns brought about especially by an unprecedented pandemic. In practice, people joining these initiatives motivate many others towards the causes, creating the will to continue in the future and satisfy unmet needs provoked by social crises.

This study is innovative because it is related to filling the gaps identified, mainly by carrying out an empirical study about ISR, rather than that of firms, where studies are more common.

This study aims to address a systematic literature review (SLR) using bibliometrics on the relationship between academic integrity and artificial intelligence (AI), to bridge the scattering of literature on this topic, given the challenge and opportunity for the educational and academic community.

This review highlights the enormous social influence of COVID-19 by mapping the extensive yet distinct and fragmented literature in AI and academic integrity fields. Based on 163 publications from the Web of Science, this paper offers a framework summarising the balance between AI and academic integrity.

With the rapid advancement of technology, AI tools have exponentially developed that threaten to destroy students' academic integrity in higher education. Despite this significant interest, there is a dearth of academic literature on how AI can help in academic integrity. Therefore, this paper distinguishes two significant thematical patterns: academic integrity and negative predictors of academic integrity.

This study also presents several contributions by showing that tools associated with AI can act as detectors of students who plagiarise. That is, they can be useful in identifying students with fraudulent behaviour. Therefore, it will require a combined effort of public, private academic and educational institutions and the society with affordable policies.

This study proposes a new, innovative framework summarising the balance between AI and academic integrity.

The year 2020 was heavily marked by an unprecedented pandemic affecting society as a whole. However, under-represented groups may have seen their financial and social situation affected differently from other groups. Thus, it was found that in the literature, the term inclusive entrepreneurship, which addresses these issues, was fragmented in view of its similarity and association with social entrepreneurship, inclusive business and sustainability. In this sense, this paper aims to map the scientific knowledge on this topic.

To fulfil this aim, a systematic literature review was supported by bibliometrics (performance analysis and scientific mapping) and by the use of the software Bibliometrix R and VoSviewer.

The results obtained show that in the Web of Science, there are 121 documents related to this topic whose content analysis revealed that they are distributed between sustainability, entrepreneurship and inclusive entrepreneurship in the close triple association.

The main contributions of this study are the connection established between the three concepts and the emergence of continuing to develop research on inclusive entrepreneurship, given its binary function: employment generation for disadvantaged groups and inclusive business creation.

The relevance of this bibliometric analysis stands out, providing the positioning of academics on the importance of leveraging emerging research on this topic, not only in poor countries but also in others.

There is a relationship between the organizations’ strategic objectives and their corporate communications. The latter is an important feature of organizational performance. Organizational leaders are continuously facing the challenge of communicating their strategic goals to their stakeholders. Very often, they are adopting performance management tools to meet this challenge. Consequently, this chapter explains that the Balanced Scorecard (BSC) can be used to evaluate and measure the firms’ corporate communications and their organizational performance. This tool has been widely recognized by academics and managers as it is capable of aligning organizational strategies (including their missions and visions), strategic indicators (leading and lagging indicators) and stakeholder management. A review of the relevant literature review suggests that many practitioners are becoming strategic in their corporate communications. In this light, this chapter clarifies that the BSC approach can be used to support them in their stakeholder engagement. This contribution is useful for both academics and practitioners as it aligns the corporate communication practices with organizational strategy and performance management in the digital era.