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Sport is a global product which many people worldwide enjoy playing, watching, and participating in. Besides good media coverage of sports events (Olympic Games, tennis tournaments, world football championships), there is an ample space to integrate international business disciplines and sports marketing from a practical and academic perspective. This paper aims to explain global sports marketing and what the preconditions are for its further development. Emphasis is placed on the relationship between sport and the development of the economy. More specifically, entrepreneurship at the domestic and global level. Various international business management areas related to sports marketing have been considered a framework for further research. The significance of international sports marketing, among other things, is reflected in its: internationalization, branding, corporate social responsibility, technology development, tourism, and regional development.

Moving to the Industry 4.0 stage. will lead to process automation and implicitly to the change of classical decision support systems with some based on realtime evaluation of processes, on the processing of large and varied volumes of data, in continuous flow and at high speeds, all these elements converging towards automation decision. This involves the creation of virtual models faithful to physical processes and products, models obtained through specific BIG DATA processes. The purpose of this paper is to describe a framework for applying decision support based on the model of digital twins in a BIG DATA ecosystem, the description of the defining elements specific to the decision cycle, the modeling and implementation of this concept.

Adequate knowledge of climate change and correct perception of the associated risks by the population are crucial factors for the effectiveness of climate policies. We analyze this topic by collecting information on the degree of current risk perception and its evolution over the last ten years among citizens living in five municipalities in an area of Abruzzo, a central Italian region. In addition, we gather information on the willingness of citizens to stipulate public insurance against damages caused by extreme events. The paper offers a descriptive analysis of the association between outcomes and individual/household characteristics. We find the degree of risk perception is relatively high, as around 2/3 of respondents believe the current risk of suffering damage from extreme events related to climate change is high or very high. More than 90% also believe that this risk has increased in the last ten years. The perception, however, is heterogeneous across population subgroups. Finally, citizens’ inclination toward public insurance covering damage from extreme events is also high. We also provide a quantitative analysis of the factors affecting the current risk perception by adopting a probit model. The related results essentially confirm evidence from the qualitative analysis and stress, in line with previous studies, the importance of previous damages as a predictor of risk perception.

The present paper focuses on the digital transformation of companies and in particular on the practices of digitalization carried out by SMEs in Morocco. The objective is to study, for these SMEs, the stakes, the perspectives, but also the degree of their commitment to the practice of digitalization strategies. This exploratory research, carried out among Moroccan SMEs from different sectors of activity, has shown that the biggest challenges facing Moroccan companies are the human factor, investments and the lack of reference points for such change.

Failure of classical statistical methods to model the behavior of stock market prices determined, in a domino effect, the failure of the classical paradigm of regarding markets as efficient systems. Alternative to this simple interpretation, markets should be regarded as far from equilibrum dynamical systems, complex evolving structures that encompass millions of participants, holding into their memory events that happened long time ago. This more realistic approach was developed by Fractal Market Hypothesis, as an alternative to Efficient Market Hypothesis. R/S Analysis is a robust tool for testing whether markets follow a Brownian motion or some memory effect is implied. The aim of the paper is to determine the Hurst Exponent, for company ALRO S.A., for the period of time since listing, until 16/07/2021. Results may generate indications about in the nature of the system represented by the prices of ALRO S.A. Conclusion may be that the Romanian capital market, as ALRO is one of the most representative companies listed at Bucharest Stock Exchange, has evolved from a very low stability market to a more stable investment environment.

Personnel selection represents a valuable decision-making process that determines, in some way, the competitiveness and performance of an organization. The essential elements of the personnel selection task are the position requirements and the accessible information related to candidates. In this paper, the personnel selection task is modeled as a multicriteria decision-making problem, considering varied competencies and skills to assess the applicants for a specific position. We used this multicriteria model to solve personnel selection cases using sadgage, a decision support system that solves examples of the multicriteria ranking problem in decreasing order based on the preferences of the decision-maker. The electre-iii method is embedded in the software in order to construct a fuzzy outranking relation and a multi-objective evolutionary algorithm to exploit such relation and generate a ranking as a recommendation. This work presents a practical application to a personnel selection problem that evaluates a group of applicants to a software developer job in an enterprise based in northwestern Mexico. We show how the proposed multicriteria procedure offers a recommendation to the decision-maker about the applicants in decreasing order of preferences.

Sustainable debt instruments play an increasingly important role in scaling up financing of private investment for the low carbon transition and the other ambitious environmental and social goals set at the EU and global level. After an overview of the literature on this new asset class, the paper highlights that reporting on the use of proceeds is considered a crucial element for the success of green bond markets, as it provides investors with an unprecedented degree of transparency.

Shai Tech is a Romanian company, which commercializes its personal care products in the United States through its online store. The company wants to expand in Europe, first in one of the Baltic countries. The aim of this paper is to study how a beauty company like Shai Tech evaluates the attractiveness of countries and target markets when it decides to sell its products in foreign markets. In order to achieve this purpose, the attractiveness of the Baltic countries from the perspective of demographic, economic, and labor market, also target market characteristics will be compared. The applied methodology involves 30 variables from the three dimensions analyzed and the awarding of scores for the three Baltic countries. The results reveal that Lithuania is best positioned in both the demographic dimension and economic and labor market aspects. In addition, Lithuania and Estonia have similar scores regarding the target market indicators.

There is a socially constructed perception that people with mental illnesses do not have the resilience to endure the pressures of the capitalist model of work. Solidarity economy (SE) appears as an alternative for the inclusion of mentally ill people in the realm of work and productivity, enabling them to (re)produce their subjectivities. In this study, we develop a critical reflection on the possibilities of entrepreneuring, solidarity economy, and financial/accounting literacy as tools towards a health promotion strategy that empowers and allows the emancipation of the individuals, so that they may (re)write their stories and give society an account of themselves other than their mental illness. This paper starts from the analysis of the experience of two Brazilian se ventures engaged in mental health promotion, in which we proposed and conducted a financial education program aimed at providing SE worker-members with tools to actively participate in discussions about financial and accounting-related decisions. Afterwards, we engaged in an action research exercise, building on lessons learned: the importance of abandoning preconceived ideas of mental illness and relying on sharing experiences and participation; and how real-life struggles are a source of knowledge, as discussed through the concept of “learning by doing.”

This paper investigates the dynamics of complexity and expertise in the context of compensation committees (ccs). Drawing on semi-structured interviews, mostly with cc members and consultants, we bring to light two axes of subordination that impact the mindset of corporate governance participants, and may ultimately undermine directors’ degree of accountability to shareholders. The first axis involves cc members’ subordination to consultant expertise, which tends to be considered as an indispensable ally in dealing appropriately with the webs of complexity that allegedly characterize executive compensation. Nourished partially by the first axis, the second implies subservience to these webs of complexity, which are widely presumed and naturalized by cc members and the consulting experts they employ. One of our main contributory statements is to question the ascendancy of complexity in the boardroom, casting doubt on one of the key assumptions upon which practices and expertise in contemporary corporate governance institutions are built and promoted. We also question the extent of epistemic dependency in many compensation committees, where much of the knowledge necessary to properly operate the repertoire of practices (deemed necessary to address the problem of executive compensation determination) is not primarily in the hands of cc members, but rather in those of consultants.

Supply Chain Management (scm) is a nearly new discipline of management that can be seen in different ways. However, only a strategic approach of scm that leads to subsequent tactical decisions and operational implementation will provide the benefits that scm promises. A presentation of the evolution of scm from its beginnings as part of Operations Management (om) to an independent field in management has the objective of determining its correct scope. Therefore, we examined papers where the research agenda of both om and scm —from the beginnings of these disciplines to these days— has been discussed in order to show the evolution of scm as a field of high relevance in om. We emphasize the strategic nature of scm and the importance to be considered in this way. We argue that is a narrow view thinking of scm as directly related to logistics as its main focus, since this logistic vision creates a bias that limits the real scope of scm. In order for this strategic vision of the scm to be implemented correctly, it is crucial to know both how the role and the profile of sc managers should be.