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We read and hear frequently about the role of vision in leadership. Standards for leadership education programs typically emphasize vision as a core component of leadership education and published accounts of successful leadership usually extol the leader’s vision. Given the prevalence of this term in discourse on leadership, it is surprising how little literature exists with specific discussions of how to teach it. In this article I discuss the potential of problem-based pedagogy for teaching the concept of vision. This paper draws on literature, theory, and my professional experience as a faculty member for 20 years in a graduate-level education leadership program.

This paper aims to determine what the brand performance consequences of corporate social responsibility (CSR) activities would be during times of recession for well-known brands.

Based on signaling theory, this paper investigates if CSR activities serve to signal higher brand value for consumers via perceptions of better quality and greater differentiation, specifically during recessions. This study incorporates a representative longitudinal sample of known US firms for the analyses, which is accomplished through generalized method of moments estimations.

The findings empirically demonstrate that CSR initiatives during recessions are actually associated with increased perceptions of brand value. More specifically, during recessions, CSR initiatives such as charitable contributions provide a signal to customers of higher brand quality.

This study did not control for the costs of doing specific CSR activities that may be less visible to consumers.

While individual firms or managers may not be able to prevent recessions from happening, they can limit the negative impact of recessions on their performance by engaging in CSR activities (or refrain from cutting back) during these times.

Because CSR initiatives during recessions result in more favorable consumer perceptions of the brand, engaging in CSR aligns both social and managerial interests, owing to the economic gains from CSR investments.

During times of recession, some critics indicate that CSR may be an unaffordable luxury. On the contrary, this research shows that managers may want to consider CSR activities as a means of increasing the value of their brands, especially during economic recessions.

In spite of the merits of artificial intelligence (AI) in marketing and social media, harm to consumers has prompted calls for AI auditing/certification. Understanding consumers’ approval of AI certification entities is vital for its effectiveness and companies’ choice of certification. This study aims to generate important insights into the consumer perspective of AI certifications and stimulate future research.

A literature and status-quo-driven search of the AI certification landscape identifies entities and related concepts. This study empirically explores consumer approval of the most discussed entities in four AI decision domains using an online experiment and outline a research agenda for AI certification in marketing/social media.

Trust in AI certification is complex. The empirical findings show that consumers seem to approve more of non-profit entities than for-profit entities, with the government approving the most.

The introduction of AI certification to marketing/social media contributes to work on consumer trust and AI acceptance and structures AI certification research from outside marketing to facilitate future research on AI certification for marketing/social media scholars.

For businesses, the authors provide a first insight into consumer preferences for AI-certifying entities, guiding the choice of which entity to use. For policymakers, this work guides their ongoing discussion on “who should certify AI” from a consumer perspective.

To the best of the authors’ knowledge, this work is the first to introduce the topic of AI certification to the marketing/social media literature, provide a novel guideline to scholars and offer the first set of empirical studies examining consumer approval of AI certifications.

Climate change, poverty and pandemics are some of the complex real-world problems that are increasingly challenging higher education institutions (HEIs) to equip future graduates with meta-competences that have hitherto not been demanded. These graduates need to be able to capture and operate within complex systems and relationships. By focusing on complex real-world problems, this study aims to systematically review competences and frame meta-competences supporting curricula development in HEIs.

This study applies a systematic literature review according to the review protocol of Preferred Reporting Items for Systematic Reviews and Meta-Analyses. The review process resulted in the selection of 39 articles, which were subjected to qualitative synthesis to identify competences for tackling complex real-world problems. These competences were grouped into meta-competences and aligned with the Sustainable Development Goals (SDGs).

Scientific disciplines commonly describe four competences for tackling complex real-world problems including domain-specific competence, inter-relation competence, intrapersonal competence and normative competence.

This study found that inter-relation competence is in line with all the SDGs, which is considered important for tackling complex real-world problems across disciplines.

A study in a survey design across disciplines and a weighting of these competences in respect to complex real-world problems aligned with the SDGs could contribute to a more consolidated and common understanding of the meta-competences identified.