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Transformational entrepreneurship (TE) is a concept referring to the ability of entrepreneurs to face global challenges, such as the economic crisis, to improve the well-being of the community. Considering the current scenario of COVID-19, the way digital platforms support TE in overcoming a crisis, specifically the economic crisis caused by the pandemic, was analysed.

To achieve the goal, the authors used the case study methodology. The interview was compared for the company analysed stands out due to its use of digital platforms as a tool to increase brand value. The authors conducted a semi-structured, open-ended interview with the entrepreneur and founder of Yamamay, a company operating in the retail sector. The results obtained from validity using the open coding method.

The main findings show that the implementation of digital platforms supported the entrepreneur in formulating strategic choices that allowed the company to continue offering its services despite the store closures imposed by the pandemic. The whole concept of traditional retail has been and continues to be revised, rationalising it and integrating it with a more omnichannel logic in which digital platforms play a fundamental role.

This paper provides market participants with useful information regarding the ability of this form of technology to support entrepreneurs in a crisis context. The results could also serve as an example for other retail companies regarding how to manage the consequences of the pandemic.

This contribution represents an extension of the existing literature that deepens the understanding of the relationship between digital platforms and TE in a particular scenario, such as the COVID-19 pandemic. The effect of business decisions on the adoption of digital platforms to meet increasing and changing customer needs has been examined.

Reconsiders Umberto Ricci’s harsh comments on the book of the young Attilio da Empoli about the Theory of Economic Equilibrium and also re‐examines da Empoli’s original theses about “ultramarginality” that aroused Umberto Ricci’s fierce criticism. In his reply, da Empoli punctually rebutted those comments, but Ricci did not answer back, probably in order not to lend himself to act as a resonance chamber. In fact, da Empoli’s approach, which led to doubt being cast on the competitive equilibria of Marshallian memory, seconded the criticism brought forward at that time against dominant orthodoxy. And Ricci really was an economist who acted inside orthodoxy and claimed to keep on doing so.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

When the COVID-19 pandemic reached its peak, many businesses suffered losses in terms of human and financial capital. In order to remain relevant in the environment there was a need for innovative thinking and digitalization provided a platform to do so. This allowed organizations that were able to leverage these resources to not only survive but to thrive in this current scenario.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

This study examines whether a unique set of emotions may be generated by advertisements for apparel products and brands for a young female target audience. Also studied were the effects of emotions on evaluative perceptions of apparel brand advertisements (ad attitude). Test advertisements consisted of 90 advertisements representing 56 different brands. Using an aggregate‐level communication model, all analysis in the study was performed across advertisements, not across people, as sampling units of interest. Findings show a unique set of three emotional dimensions generated by the apparel brand advertisements. Two emotional dimensions, pleasure/activation (eg activation, bored, desired, social affection) and hypoactivation (drowsy, restful, soothed), had a positive influence on ad attitude. The third dimension, domination (anger, fear, irritation, tension), did not have a significant effect on ad attitude, having neither good nor bad effect on evaluations of advertisements.

The first problem is to assemble the works of Pucci; for there is no complete edition. His writings, some still unpublished, are scattered in a large number of manuscripts and these contain many variants, resulting from the popular nature of his verse, for much of it was meant to be recited in the streets and squares of his native town and in the oral tradition it has been considerably changed and modified. The Pucci manuscripts, with the exception of four (one in the Bibliothèque Nationale and three in the Bodleian), are to be found in various libraries in Italy, and editors and compilers of anthologies have taken material from them—a bit here and a bit there—in a haphazard way, printing what suited their purpose and often consulting only one of many manuscripts. Consequently there are different versions of some poems and few are edited critically, though the publication last year of Professor Sapegno's anthology Poeti minori del trecento with its 117 pages devoted to Pucci has remedied this state of affairs for some of the most important. The only collection of Pucci's verse—if we discount a group of sonnets and a sonnet sequence, both published by A. D'Ancona—is that of F. Ferri in La poesia popolare in A. Pucci (1909), and this is a very incomplete and uncritical work; but as it includes many poems not found elsewhere, it is essential for reference. Pucci's work in print must therefore be sought in many places: in F. Ferri (op. cit.), in anthologies, in periodicals, in editions of single or of two or three poems, and in many rare publications—often per nozze and therefore particularly difficult to come by, because of the few copies printed.

This study aims to investigate whether significant performance differences between cooperatives and investor-owned firms (IOFs) may exist.

Based on data from a sample of Italian wine firms for the period from 2009 to 2018, an adjusted measure of performance called earnings before interests, taxes, depreciations and amortizations gross the raw materials cost was adopted to consider the different objectives of cooperatives relative to those of IOFs.

Empirical evidence shows that in the context under analysis, cooperatives have performed better than IOFs.

Despite the theoretical literature suggesting that the cooperative form of organizations suffers from many weaknesses, these results highlight that cooperatives operating in the wine sector are at least as economically efficient as other organizations, and more specifically, they perform better than for-profit firms. Consequent implications for theory and practice are discussed.

The paper aims to provide a decision-support model to ensure a proper use of the limited resources, financial and not, for the enhancement of the cultural heritage and comprehensive development of small towns from sustainable perspective.

The assessment model is set up using a multi-criteria method that combines elements of linear planning with a performance indicators system that may represent the complexity of the territory’s cultural identity as a result of existing cultural-historical assets.

The model reliability is tested in a case study in a Municipality in southern Italy. The case study’s findings highlight the advantages for the public/private operators, who can consciously choose which preservation and restoration projects to fund while taking into account the effects those decisions will have on the economic, social and environmental context of reference.

Due to the suggested operational approach and the selection of variables for accounting economic, social and environmental impacts by the renewal project, the research findings may not be generalizable. Therefore, it is recommended that researchers look into the suggested theories in more detail.

The study offers implications for designing a user-friendly tool to help decision-making processes from a private–public viewpoint in a reasonable allocation of financial resources among investments for cultural property asset enhancement.

The suggested operational approach provides a reliable information apparatus to depict the decision-making process under small-town development in accordance with sustainability dimensions.

The decisions taken today relating to urban renewal interventions are rarely supported by logical and operational methodologies capable of effectively rationalising selection processes. For this purpose, it is necessary to propose and implement analysis models with the aim of promoting the sustainable development of the territory. The purpose of this paper is to define a model for the optimal allocation of scarce resources.

The Discrete Linear Programming (DLP) is used for selecting investments aimed at achieving financial, social, cultural and environmental sustainability.

The proposed model lends itself to the construction of investment plans on behalf of both types of decision makers, of both a public and a private nature.

All projects are evaluated according to multi-criteria logics, so that it is possible to find compromise solutions, in accordance with the stakeholders’ different preferences.

The model, written with A Mathematical Programming Language using DLP logics, is tested – case study – so as to define an investment programme finalised for urban renewal of a vast area.

The proposed econometric model makes it possible to obtain the optimal combination of projects for urban renewal with a view to achieving the sustainable development of the territory.

Using the proposed model, all projects are evaluated according to multi-criteria logics, so that it is possible to find compromise solutions, in accordance with the stakeholders’ different preferences.

Increasing physical activity can reduce obesity risk among adolescents. This study analyses how behaviours, ethnicity and various sociocultural characteristics may influence the likelihood of engaging in active commute and other healthy activities. The authors analyse data from the 2010 National Youth Physical Activity and Nutrition Survey. The sample included US Hispanic high school students from 9th to 12th grade. Quasi-Poisson regression was used to understand the association between 24 possible variables and the number of days physically active at least 60 minutes per day. This study will present findings by race and ethnicity: non-Hispanic whites and blacks, as well as Hispanics. The research findings uncover that walking is the most predominant physical activity among Hispanics, especially from school to home, which indicates engagement in active transportation. This study shows the need for tailoring physical activity and health programmes by race and ethnicity. Interventions that encourage active commute can be effective for adolescents to achieve physical activity guidelines – at least 60 minutes per day.

Background: Artificial intelligence (AI) is a booming sector that has profoundly influenced every walk of life, and the education sector is no exception. In education, AI has helped to develop novel teaching and learning solutions that are currently being tested in various contexts. Businesses and governments across the globe have been pouring money into a wide array of implementations, and dozens of EdTech start-ups are being funded to capitalise on this technological force. The penetration of AI in classroom teaching is also a profound matter of discussion. These have garnered massive amounts of student big data and have a significant impact on the life of both students and educators alike.

Purpose: The prime focus of this chapter is to extensively review and analyse the vast literature available on the utilities of AI in health care, learning, and development. The specific objective of thematic exploration of the literature is to explicate the principal facets and recent advances in the development and employment of AI in the latter. This chapter also aims to explore how the EdTech and healthcare–education sectors would witness a paradigm shift with the advent and incorporation of AI.

Design/Methodology/Approach: To provide context and evidence, relevant publications were identified on ScienceDirect, PubMed, and Google Scholar using keywords like AI, education, learning, health care, and development. In addition, the latest articles were also thoroughly reviewed to underscore recent advances in the same field.

Results: The implementation of AI in the learning, development, and healthcare sector is rising steeply, with a projected expansion of about 50% by 2022. These algorithms and user interfaces economically facilitate efficient delivery of the latter.

Conclusions: The EdTech and healthcare sector has great potential for a spectrum of AI-based interventions, providing access to learning opportunities and personalised experiences. These interventions are often economic in the long run compared to conventional modalities. However, several ethical and regulatory concerns should be addressed before the complete adoption of AI in these sectors.

Originality/Value: The value in exploring this topic is to present a view on the potential of employing AI in health care, medical education, and learning and development. It also intends to open a discussion of its potential benefits and a remedy to its shortcomings.