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The purpose of this paper is to present a conceptual model that defines the essential components shaping the new Digital Supply Chains (DSCs) through the implementation and acceleration of Industry 4.0.

The scope of the present work exposes a conceptual approach and review of the key literature from 1989 to 2019, concerning the evolution and transformation of the actors and constructs in logistics and Supply Chain Management (SCM) by means of examining different conceptual models and a state-of-the-art review of Industry 4.0’s concepts and elements, with a focus on digitization in supply chain (SC) processes. A detailed study of the constructs and components of SCM, as defined by their authors, resulted in the development of a referential and systematic model that fuses the inherent concepts and roles of SCM, with the new technological trends directed toward digitization, automation, and the increasing use of information and communication technologies across logistics global value chains.

Having achieved an exploration of the different conceptual frameworks, there is no compelling evidence of the existence of a conceptual SCM that incorporates the basic theoretical constructs and the new roles and elements of Industry 4.0. Therefore, the main components of Industry 4.0 and their impact on DSC Management are described, driving the proposal for a new conceptual model which addresses and accelerates a vision of the future of the interconnectivity between different DSCs, grouped in clusters in order to add value, through new forms of cooperation and digital integration.

This research explores the gap in the current SCM models leading into Industry 4.0. The proposed model provides a novel and comprehensive overview of the new concepts and components driving the nascent and current DSCs. This conceptual framework will further aid researchers in the exploration of knowledge regarding the variables and components presented, as well as the verification of the newly revealed roles and constructs to understand the new forms of cooperation and implementation of Industry 4.0 in digitalized SCs.

Several studies have been made that analyze factors that affect the demand of tourism from several optics. This paper aims to study the factors that determine the demand for tourism in Mexico, through an econometric analysis, by using the Johansen cointegration model (1991) to determine the long-term elasticity between the demand of tourists and the wealth related to its main markets (the USA and Canada) and the relative prices in Mexico and its two main competitors (the Dominican Republic and Costa Rica).

The authors used econometric analysis using Johansen’s cointegration model (1991), using as a dependent variable the demand of tourists from the main countries of origin (the USA and Canada), taking as data the number of tourists by air in the period 1980-2015, according to information from the SIIMT. The independent variables are the relative wealth of the country of origin of the tourists (wealth of the tourist in Mexico concerning the wealth in their country of origin) and the relative prices of the destination country with respect to the country of competition. The source for per capita income and the consumer price index is the World Bank.

The results obtained in this document show that in the long-term the price is a factor of impact in the purchase decision of both markets analyzed. Presenting an elastic demand to the price, which implies that the market is sensitive to the variations of the price of tourist services, opting for the destination that offers better prices, with a higher sensitivity to the price when compared with Costa Rica. Coinciding with previous studies carried out in other tourist destinations, such as in the work of Patsouratis et al. (2005).

The main contribution of this work is to determine the long-term relationship, through a cointegration analysis of Johansen (1991). A methodology that has not been used to perform a competitive analysis between countries. Additionally, the present work uses variables different from those considered in previous works; the dependent variable is the demand of tourists from the main countries of origin (the USA and Canada) and as dependent variables the relative wealth of the country of origin of the tourists (Wealth of the tourist in Mexico with respect to wealth in their country of origin) and the relative prices of the destination country with respect to the country of competition.

The purpose of this review is to conduct a bibliometric analysis of financial fraud exploiting the elderly by mapping its evolution, identifying major metrics and discussing directions for future research.

A bibliometric analysis was conducted, based on 434 articles retrieved from the Web of Science that represent the academic literature on the topic from 1995 to the first quarter of 2024. This paper analyses the antecedents of financial fraud exploiting the elderly, the publication trends and the most prolific countries, institutions, journals, research areas and authors. Bibliometric analyses based on co-citation and co-words explore the intellectual structure of the topic. A bibliographic coupling analysis reveals the hottest research trends in this field.

A significant increase in the number of publications in recent years shows the importance gained by this research stream. The bibliometric analysis identifies four clusters throughout the literature: differentiation of types of elder abuse; protection of the elderly from fraud; cognitive and decision-making capacity in ageing; and factors influencing fraud victimization of the eldest. The most recent research lines identified through bibliographic coupling focused on the contextual and personal antecedents of financial exploitation of the elderly, as well as the possible impact of interventions. Several key research gaps and additional suggestions for further studies, as well as action lines for the financial authorities and economic agents, are outlined.

This paper contributes to knowledge about financial fraud exploiting the elderly synthesizing the existing literature, stressing that the banking industry has to deal with such financial fraud in the context of a growing relevance of the silver economy.

The search for competitiveness by family-owned companies has led us to research topics that may help these companies succeed. The management of human capital is undoubtedly one of the keys to success, and the practices of employee development (training, promotion, succession, career planning, mentoring and coaching) help improve the performance of these companies.

This paper is based on studying a sample of 560 family companies and analyzing the relationship between performance of the family businesses and the use of employee development practices. The techniques used were confirmatory factor analysis and structural equation modeling.

The results show that employee development has a direct effect on the indicators of performance in family companies. The authors have developed a series of practical implications for companies that justify investments in and efforts with regard to employee career development.

Family businesses need to understand the development needs of their employees. In addition, the very processes and tasks performed. The authors have developed a number of practical implications for companies that justify the investments and efforts made in employee career development. This work validates the usefulness of the use of certain practices for the development of employees in family businesses, allowing the company to generate human capital to build a competitive position in the market.

The results of this study suggest that family businesses should understand the development needs of their employees and that various practices are available to help detect these needs. Family businesses should see individual development processes as an opportunity to improve the performance of employees, which could avoid conflicts in such businesses (Qiu and Freel, 2020). Companies should develop career and succession plans that enable these changes to be faced throughout the company, ensuring that when handover occurs, the candidates are sufficiently qualified in accordance with their career paths. The present research study shows that coaching is a powerful tool for improving performance. Moreover, mentoring appears to be an important part of employee development. For this reason, mentoring programs should be formally planned with designated objectives. In addition, family businesses should provide employees with real opportunities for promotion and the development of their skills and abilities, which is a way to retain nonfamily professionals (Ramankutty and Pujar, 2017).

Family businesses are a very important part of the productive activity of a country and their continuity is necessary to maintain employment and income. The management of people in family businesses is a key aspect for their success, therefore knowing the key aspects for the development of human capital will have a positive influence on maintaining employment and income.

This paper addresses the study of people development processes in family businesses and proves its usefulness to improve performance, considering the formal planning of succession processes and professional careers, providing qualifications to candidates and ensuring that they are show satisfaction with their professional evolution in the company. Likewise, it is positive for family businesses to use coaching relationships, formally scheduled and employing a coach from abroad. The other tool that will favor the development of employees is mentoring, formally programmed, establishing objectives and properly studying the mentor's profile. For this tool to be applied successfully, it is necessary to get the participants to commit to the mentoring process. Finally, the organization must provide its employees with real opportunities to promote, training them and developing their skills.