Cuban Journal of Public and Business Administration

Relation develop civic education of the economic conscience in the socialist public enterprise

2024-05-31T18:15:34+00:00

This article addresses the need to study the relationship between the process of citizenship education and the development of economic consciousness among workers and managers in socialist state-owned enterprises, as the primary productive and educational entity of the Cuban economic and social model of socialist development. Based on a theoretical study, the article proposes the categories that justify scientific research on the topic, and characterizes economic citizenship as a formative outcome based on the comprehensive management of human resources in the state-owned enterprise system. Theoretical methods such as hermeneutic, historical-logical, analytical-synthetic, and induction-deduction, as well as participant observation, were used. The main results validate the need to strengthen citizen participation for the development of economic consciousness among workers and managers in socialist state-owned enterprises.

AI in education and research: opportunities in collaboration between China and Cuba

2024-09-04T14:37:58+00:00

Cuba and China are countries connected by strong historical ties of solidarity and friendship, which have been demonstrated during the 65 years of diplomatic relations, celebrated on September 28, 2025. In higher education, collaboration has been very fruitful with a wide variety of agreements signed between universities for educational, scientific, and cultural exchange.

Result of management and its evaluation in organs local government

2024-05-31T18:01:52+00:00

The evaluation of the results of public management in local governments is one of the main topics of analysis in contemporary specialized literature. The objective of the research is to develop a procedure general for the evaluation the results of the management in the municipal organs government, which allows measuring the results with new methods and tools in established dimensions. The research combines theoretical and empirical methods, the most important: surveys and interviews with managers and officials at different levels and experts; the observation and analysis of national and international information on the state of the art and good practices; descriptive and inferential statistics with factor analysis, clustering in hierarchical conglomerates, modeling of calculation expressions. The positive impact on these bodies is expressed in the favorable criteria of managers and public officials, and the annual increase to the value quantitative and qualitative of the indicators designed in their practical application information in for study cases.

Methodological configuration for the development of political and ideological improvement of cadres in Cuba

2024-05-31T18:18:00+00:00

The article aims to improve the political and ideological improvement of cadres, which is an imperative nowadays, in order to achieve a competent and committed cadre in the management work that it develops. In the research, empirical, theoretical and statistical methods are used, as well as the structural-functional systemic method that allows methodological triangulation, to achieve the proposed objective. As a result, a methodology is obtained for the development of political and ideological improvement of cadres, which focuses on the principle of contextual diversity, which promotes integrality, transdisciplinarity, self-management and autonomy in knowledge. By using the method of progressive articulation of contexts, the proposal generates a repositioning of pedagogical science applied to the political direction of society.

Job retention in an advanced era of digital technology and extreme climate change

2024-05-31T18:03:08+00:00

The main objective of this article is to offer theoretical and methodological foundations to contribute, in the current context of the “digital age”, to the maintenance or increase of job retention of working people, inserted in their dynamics of “attraction, retention and development”, from the systemic perspective of Human Resources Management, with emphasis on its key training processes (reskilling and upskilling and attention to senior talent), working conditions (safety and health at work), the designs of profiles of charge for competencies, job evaluation and labor compensation, in their association with the sense of commitment. The methods are documentary analysis and participant observation on labor entities. As a result, the concepts and technical-organizational connections related to these processes are offered in order to mitigate labor fluctuation.

Procedure for determining product innovation costs

2024-05-31T18:15:47+00:00

When constructing accounting information for product innovation, traditional systems are insufficient as this is a complex and dynamic process. The objective of the article is to present a procedure for determining the cost of product innovation, using the ABC activity-based costing method, based on its implementation in the company Suchel Camacho S.A. as a case study, which offers an effective and feasible tool to generalize. As a result of the proposal, the usefulness of management accounting in generating quality, reliable and timely information on the total expenses of innovation activities in support of decision-making is demonstrated. As a result of the proposal, the usefulness of management accounting in generating quality, reliable and timely information on the total expenses of innovation activities in support of decision-making is demonstrated.

Digital skills of the lawyer in the modern age: the experience of Russia

2024-05-31T18:36:10+00:00

The transformation of social life is leading to a shift in the labor market requirements for modern lawyers, leading to the disappearance of some legal professions, while professional legal advice and justice are becoming increasingly accessible to all. At the same time, the expansion and rapid growth of digital markets, based on the operation of platforms with the application of artificial intelligence (AI) and blockchain technologies, big data, and cryptography, require lawyers to have closer specialization and an understanding of the key technical decisions required to participate in supporting relevant projects.

Science, technology and innovation indicators, young human potential and social development in Cuba

2024-05-31T18:18:38+00:00

Science, technology and innovation (STI) indicators are essential tools for measuring and managing a country´s human potential, as they allow for the evaluation of the development and capacity of its national innovation system. They help to identify strengths and weaknesses in specific areas, which facilitates decision-making to promote social economic growth. They allow for the identification of opportunities to improve the recruitment, selection, training and development of young human potential.

The objective of this article is to reflect and demonstrate that STI indicators are key tools for improving the management and optimal utilization of the competencies and skills of young human potential to drive scientific and technological development. The training and effective use of human potential drives economic and social policy based on STI to achieve prosperous and sustainable development. Investing in human potential not only improves individual performance, it optimizes organizational effectiveness, and promotes a positive work environment that ensures employee loyalty and commitment. The Cuban STI System promotes the intensive and accelerated transformation of scientific results into products, processes, and services with a high social and economic impact, where young people play a decisive role in increasing science, technology, and innovation indicators, and therefore, improving the quality of life of the population and Cuba´s position in national and international comparative studies.

Public administration, dialectical dynamics and sustainability in the 21st century

2024-05-31T18:19:20+00:00

The central objective of this article is to demonstrate how modern societies, under the influence of globalization, need to transition from a predominantly reactive to a proactive functioning. The constant creativity required for their adaptation and adjustment to the vital demands of survival in the face of the globalizing push, in which demanding social demands become a serious challenge in the face of a budget deficit, jeopardizes the socioeconomic development of any nation. This leads national public administrations to require a constant dialectical dynamic for the sustainability of their own identity, finding mechanisms, ways, and means that allow them to integrate into the global chain of production of goods and services and their transnational exchange.

Facing the "15th five-year plan": improve the national economic and social development planning system

2024-05-31T18:38:23+00:00

Development planning plays an important role in the construction of the national governance system. 2025 is the year when the 14th Five-Year Plan ends and the year when the Tenth Five-Year Plan is laid out. Facing the task of high-quality preparation of the Tenth Five-Year Plan, we must deeply understand the position of development planning in the national governance system, and realize its important role in governing the country, leading economic and social development, and solving stage difficulties. The key point is to grasp the interaction logic between development planning and strategy, policy and other planning, enhance the authority, standardization, and conductivity of development planning through legislative means, theoretical research, and institutional mechanism construction, and accelerate the improvement of the national economic and social development planning system.

Model for the selection of person based on managerial competencies for the administration of public security

2024-05-31T18:37:04+00:00

Competency-based selection, with a particular focus on the Cuban context of public administration in public security, is essential to ensure effective and efficient management. Current selection processes have limitations, such as a lack of modern tools and a lack of alignment with the needs of the local context. The objective of this article is to analyze competency-based selection models and practices and propose recommendations for their implementation in Cuba. A literature review was conducted using academic databases and keywords related to the research field. Key competencies were highlighted, such as risk assessment and management, interagency coordination, community conflict resolution, ethical use of authority, and situational intelligence. The proposed model will strengthen the responsiveness and efficiency of public security institutions where competency-based selection is fundamental.

Cost system for the production of goods at a canned vegetables company

2024-09-04T14:22:57+00:00

Accounting is an essential information system for organizations. It provides useful data for understanding their financial situation and for decision-making. Management Accounting plays an important role through costing systems, which are responsible for displaying the economic indicator of production costs. This paper presents the development of a research project conducted at a Canned Vegetables Company to design a process costing system for the company. Methods and techniques were used to facilitate experience, gather information, and comply with existing regulations until the target result was achieved.

Environmental tourism in crisis contexts. The role of health risk perception in Post-Covid-19

2024-09-04T14:24:44+00:00

The COVID-19 pandemic has transformed the dynamics of global tourism, creating an opportunity to explore links between health risk perception and the adoption of responsible environmental practices. This study investigates how the perception of risk associated with COVID-19 influences the pro-environmental behavior of tourists residing in Greater La Plata, Argentina. Using a mixed approach, a Likert questionnaire was designed and applied to 151 international travelers, integrating theoretical constructs of the Norm-Activation Model (NAM): awareness of consequences, environmental responsibility and moral obligation. In addition, the concept of ‘pro-environmental health’ was introduced to connect psychosocial dimensions with tourism decisions. Exploratory and confirmatory factor analyses revealed that moral obligation and pro-environmental sacrifice are significant predictors of sustainable behaviors, with higher correlations in segments that perceived greater physical or emotional risk during the pandemic. These findings suggest that health crises can catalyze changes in environmental values, provided that infrastructures and social norms are in place to reinforce such practices. The research proposes a conceptual framework that links theories of risk and sustainability, offering practical implications for public policy and tourism marketing strategies in post-crisis contexts.

Risk analysis and management to achieve strategic objectives in the computer and communications business group

2024-05-23T17:25:25+00:00

At the Central Office of the Computer and Communications Business Group (GEIC), the results of the evaluation of the Strategic Prevention Capacity (CAPE) are obtained and the limiting elements are determined, based on the application of theoretical research methods: analysis-synthesis and induction-deduction and empirical such as observation and survey, and tools such as: Excel, Minitab and Compensatory Fuzzy Logic. The diagnosis of risks is carried out by processes, identifying, analyzing and evaluating them, as well as the integrated analysis is carried out where the cause and effect relationships that exist between the main risks are established. The problematic situation and actions to improve the CAPE are also determined. Finally, it is concluded that the organization reflects a limited capacity to develop strategies that allow risk management, breaking down a series of actions that will facilitate their management, aimed at reducing the impacts, damages and economic losses that can cause these risks in the entity and achieve the achievement of the expected or projected objectives.

Project management model with agile method focus: strategic importance for the cuban context

2024-09-04T14:20:54+00:00

The development and partial implementation of a project management model focused on the agile method is presented, presenting both a theoretical and conceptual analysis to establish its foundations, as well as the conception of the model and its partial application to the Cuban context. The proposal demonstrates an integrative, systemic, strategic, process-based approach with the transversal logic that characterizes the project management approach, that also is an organizational innovation in the current context. A summary of the methodological tools is presented, based on their dissemination for use by academia, the business sector, and process advisors and consultants.

Governing AI’s sustainability: risks, current responses, and pathways for improved governance

2024-09-04T14:28:05+00:00

Artificial intelligence development presents significant sustainability challenges across environmental, social, and economic dimensions, demanding more coordinated and systematic governance approaches. However, existing governance responses remain fragmented and reactive, with limited capacity for proactive, lifecycle-wide risk management. To address these issues, sustainability risks associated with AI are examined by analyzing key risk dimensions, evaluating current governance responses, and identifying directions for improvement. A structured review of literature and policy frameworks clarifies persistent limitations, including the absence of operational tools, inconsistent standards, and insufficient cross-sectoral coordination. To help close these gaps, the concept of an AI Green Index is proposed as an adaptable framework of traceable and comparable indicators, supporting the identification, assessment, and management of multidimensional AI sustainability risks for improved governance performance. By mapping these challenges, evaluating existing responses, and outlining concrete pathways forward, the work aims to inform policy design and promote the development of more effective, consistent, and inclusive strategies for sustainable AI governance.

Exploration and practice of knowledge services in university libraries driven by artificial intelligence

2024-09-04T14:34:03+00:00

In the era of digital-intelligent transformation, the rapid development of artificial intelligence (AI) technology is reshaping users’ knowledge service demands. This transformation is driving university libraries to evolve from a traditional resource-centered model to a knowledge innovation-centered paradigm. This article adopts a case study methodology to systematically review the evolution of knowledge services, from paper-based resource services to intelligent services. Focusing on four key dimensions: technology empowerment, demand-driven approaches, scenario expansion, and ecosystem reconstruction, we innovatively propose an AI-centered, multi-tiered knowledge innovation service matrix covering the technical, demand, scenario, and service layers. Building upon this framework, we use the Beijing Institute of Technology Library as an empirical case study. The article elaborates on the practical scenarios of the “Five Centers”: Resource Collaboration Center, Cultural Heritage Center, Knowledge Innovation Center, Future Learning Center, and International Research Center. Key AI-driven initiatives are presented for enhancing resource provision, cultural communication, decision support, research-learning support, and global academic influence. Findings from both research and practice suggest that AI technology is not only reshaping the entire chain of knowledge production and dissemination within university libraries, but also transforming their role from passive service providers to active agents of innovation, which provides intelligent support for the development of China’s “Double First-Class” initiative.

AI-enabled disciplinary construction and assessment: dilemmas and pathways

2024-09-04T14:34:08+00:00

AI has shown significant potential in enhancing the construction and high-quality assessment of academic disciplines. As China transitions from an index-driven to a high-quality development model in disciplinary construction, the focus has shifted from using evaluation indicators to solidify disciplinary foundations, to addressing societal concerns and improving overall standards through assessment, and ultimately toward stimulating the internal motivation for excellence. However, during this critical transformation period, AI-enabled disciplinary construction and evaluation still confront three major challenges, namely ideological inertia, technological limitations, and a lack of ecosystem support. Meanwhile, the historic push toward building a strong nation has accelerated the need for innovation in talent cultivation models, research paradigms, and evaluation mechanisms. In response, this study proposes a strategic path forward through deepening conceptual understanding and breaking cognitive barriers to integrate AI more effectively into decision-making process, building collaborative, open, and value-driven evaluation platforms to foster multi-stakeholder engagement, and advancing human-AI collaboration to drive adaptive transformation in assessment organizations through technological innovation, thereby creating a governance ecosystem characterized by human-machine complementarity and flexible responsiveness.

Constructing and innovating research-teaching communities driven by interdisciplinarity

2024-09-04T14:29:54+00:00

This paper provides a detailed analysis of the major challenges faced by universities both domestically and internationally in cultivating top-notch talent, primarily characterized by rigid disciplinary barriers and the weak integration of research and education. To implement the guiding principles of the Third Plenary Session of the 20th Central Committee of the Communist Party of China and the National Education Conference, and to establish a holistic “grand education perspective” that synergizes education, science and technology, and talent development, to advance the “scientifically organized talent cultivation”, the School of Interdisciplinary Science (SIS) at Beijing Institute of Technology (BIT) is moving towards establishing a physical Advanced Interdisciplinary Research and Education Center (AIREC). This initiative aligns with BIT’s strategy to deepen the “integration of research and education” and the main approaches involve leveraging first-class interdisciplinary research teams to build first-class teaching capabilities and utilizing top-tier interdisciplinary research platforms to shape first-class educational platforms. It can help foster a virtuous cycle among education, science and technology, and talent development, and cultivate doctoral graduates with comprehensive interdisciplinary capabilities. Hereby, these objectives will be achieved including advancing BIT’s high-quality development of its “Double First-Class” disciplines, providing a solid foundation for cultivating original leading talents urgently needed for national strategic priorities, including scientists, entrepreneurs and chief designers for national defense, as well as incubating and nurturing globally impactful and original scientific research innovations within China.

Reinventing classic courses: a paradigm reconstruction study of AI-empowered signal processing curriculum

2024-09-04T14:33:46+00:00

With the rapid advancement of Artificial Intelligence (AI) technology, traditional signal processing education faces challenges such as outdated knowledge structures misaligned with industrial advancements, single teaching models and insufficient cultivation of innovation ability, and an imbalance between theory and practice, and lack of real-world application scenarios. This study adopts constructivist learning theory and backward curriculum design, proposing an “AI-empowered Four-Dimensional Reconstruction Framework”. Building on the national first-class course construction experience at Beijing Institute of Technology, this framework drives the transformation of Digital Signal Processing (DSP) curriculum from “mathematics-oriented” to “engineering problem-driven”, from “knowledge transmission” to “meta-cognitive ability cultivation”, from “tool application” to “intelligent method innovation”, and from “single assessment” to “multimodal competency evaluation.” It establishes a systematic course architecture, covering “demand analysis, content construction, teaching implementation, and dynamic evaluation”. By restructuring knowledge systems, innovating experimental methods, and reforming assessment mechanisms, a new teaching ecosystem is created, deeply integrating fundamental theories, intelligent technologies, and cutting-edge applications. Teaching practice demonstrates that the reconstructed course significantly enhances students’ innovation capabilities and complex problem-solving skills, providing a replicable model for upgrading traditional core courses in the new engineering context.

Practice-oriented legal education system: innovation – exploration at bit law school based on “two-wing synergy and three-dimensional collaboration”

2024-09-04T14:33:59+00:00

Legal education should be practice-oriented. However, practical training remains a weak area globally. Traditional methods like moot courts, legal clinics, and internships require further improvement. In response to new circumstances, several targeted measures should be implemented. First, ideological and political education should be integrated into practical legal courses to help students understand the achievements of China’s rule–of–law development and enhance their sense of social responsibility. Second, the digitalization of practical training should be advanced through the use of virtual simulation technologies, the establishment of smart legal laboratories, and internships in legal technology firms. Third, internationalization should be promoted by building collaborative innovation platforms for cultivating international legal talent. Fourth, practical evaluation in professional degree programs should be improved by establishing clear standards for Juris Master thesis writing, including formats such as research reports and case analyses.

One core with multiple competences, catalyzing intelligence fusion-toward a world-class AI school with BIT distinction

2024-09-04T14:32:56+00:00

La inteligencia artificial (IA) se erige como el eje central de la competencia tecnológica global, siendo la formación de talento en IA su pilar fundamental. En el doble contexto de la intensificación de la rivalidad global en IA y la grave escasez nacional de profesionales en IA, este estudio examina la creación de la Escuela de IA del Instituto Tecnológico de Pekín (BIT) como objeto de investigación y explora vías innovadoras para la transformación inteligente de la educación superior china en la era de la IA. El BIT ha integrado integralmente sus recursos y plataformas de IA, tanto internos como externos, para establecer su Escuela de IA desde una base sólida y bajo estrictos estándares de calidad. Con el objetivo de convertirse en una Escuela de IA de clase mundial y distintiva del BIT para 2030, la Escuela se dedica a fomentar un nuevo ecosistema para la formación de talento interdisciplinario excepcional en IA, revolucionando los paradigmas educativos con la tecnología de IA como motor principal, concentrando esfuerzos en el desarrollo de capacidades de IA centradas en la seguridad nacional y construyendo un sistema de apoyo operativo inteligente que sustente el desarrollo sostenible y de alta calidad del BIT. Al funcionar como un complejo integrado de innovación en IA con un núcleo único y competencias multifacéticas, que abarca el desarrollo de talento, la reforma educativa, la investigación científica y los servicios de gestión, la Escuela de IA cataliza la fusión de inteligencia del BIT en la era de la IA. Este estudio proporciona, por lo tanto, un modelo ejemplar para la transformación inteligente de la educación superior.

Dynamic knowledge graph-driven competency evolution framework: an intelligent integrated training approach to bridge educational fragmentation

2024-09-04T14:56:20+00:00

To tackle issues such as academic system fragmentation, curriculum repetition, and delayed talent development cycle in traditional segmented training, this paper explores the construction of a dynamic knowledge graph-driven “Three-Stage Goal-Oriented” undergraduate-graduate (UG-G) integrated training system. Through literature analysis and empirical research conducted at Beijing Institute of Technology’s “Xu Teli Talent Class”, the paper proposes a four-dimensional collaborative model encompassing of curriculum, practice, capability and management. The research findings indicate that this system, leveraging the cross-stage mapping and intelligent adaptation of knowledge graphs, reduces curriculum repetition rates, enhances student research engagement, and improves the efficiency of translating outcomes into practical applications. This effectively addresses the “capability vacuum” and resource waste issues inherent in segmented education. In the future, the optimization efforts will focus on deepening dynamic capability portrait driven by AI to achieve “one person, one policy” training, increasing participation rates in interdisciplinary virtual teaching and research offices to over 50%, expanding the coverage of digital ideological and political education cases to 70% within three years, and establishing a flexible credit banking system integrated with AI ethics. Meanwhile, the study recommends that educational departments issue technical standards for this integrated training, universities establish cross-departmental collaborative mechanisms, and enterprises co-develop dynamic project pools. A comprehensive evaluation system that integrates ideological and political education with professional development should also be established. This research provides a systematic solution for cultivating national strategic talents and holds significant has important theoretical and practical values for the supply-side reform of higher education.

Reconstructing graduate supervisors competencies from the perspective of artificial intelligence

2024-09-04T14:32:38+00:00

In the era of artificial intelligence (AI), the model of graduate education is undergoing significant transformation, placing new demands on the competencies and qualities of graduate supervisors. This paper conducts an in-depth exploration of the evolution and enhancement pathways of graduate supervisors’ professional competences within the context of AI. It analyzes the impact of generative AI on the roles of teachers and students, as well as on teaching and research in graduate education. Furthermore, the paper examines the age structure of graduate supervisors and relevant policy requirements in the AI era. It elaborates on the new expectations placed on supervisors in areas such as information literacy, technological adaptability, human-AI collaborative competence, innovation capacity, and ethical awareness. Finally, the paper proposes strategies for improving supervisors’ competencies, including fostering a proper understanding of digital technology, improving training systems, establishing new evaluation frameworks, and strengthening university-industry collaboration. These measures aim to help graduate supervisors better meet the educational needs of the AI era and promote the deep integration of AI technology into graduate education.

Construction and application of a multi-source data-driven intelligent model for industry-research demand analysis in smart education

2024-09-04T14:56:35+00:00

In the context of the deepening development of smart education, resolving the structural misalignment between talent cultivation and industry demands has emerged as one of the core challenges in higher education reform. This study proposes a three-phase progressive framework, namely “Data Acquisition–Demand Modeling–Decision Output” to construct the multi-source data-driven intelligent analysis model for industry–research demand, integrating tripartite data from industrial, academic, and policy domains to drive the paradigm shift in educational decision-making from experience-based to data-driven approaches: 1) extracting industry demand profiles are extracted through topic modeling of unstructured recruitment texts to reveal composite competency frameworks; 2) identifying and tracking academic research hotspots and trends through bibliometric and keyword co-occurrence analysis; 3) dynamically calibrating model weights via policy document analysis based on strategic orientations. Applied to the artificial intelligence discipline as an empirical field, the model reveals three domain-specific characteristics: 1) industry demands demonstrate a trinity integration of technical proficiency, industrial applicability, and ethical awareness; 2) academic research undergoes an evolution from technological breakthroughs to scenario-based closed-loop construction, and further to socio-ethical value reconstruction; 3) policy priorities emphasize technological sovereignty and vertical scenario development. Then the model generates hierarchical competency matrices and dynamic-priority knowledge inventories to inform curriculum optimization, accompanied by four evidence-based talent cultivation strategies: 1) establishing a tripartite-integrated educational ecosystem; 2) strengthening industry–academia–research collaborative mechanisms; 3) creating adaptive knowledge renewal and ethical governance frameworks; 4) enhancing interdisciplinary scenario-based innovation capabilities. This study further expands the model’s application scenarios, demonstrating its substantial potential for empowering smart education ecosystems, and outlines future research directions.

Research on the integration of education, technology and talent development in artificial intelligence under the perspective of new quality productive forces

2024-09-04T14:56:55+00:00

This paper elucidates the roles of education, technology and talent, and investigates the relationships among them. It highlights that education is fundamental, technology crucial, and talent the cornerstone. University serves as the basic units, academic disciplines as the optimal intersection points, and innovation is identified as the common denominator. Drawing on practical experiments on the integration of education, technology, and talent development conducted in Beijing Institute of Technology (BIT), this paper introduces the integration of the institute’s AI-based educational system ChatBIT, which is designed to be controllable and trustworthy, and analyzes how AI is driving educational revolution. Finally, it proposes a strategy for the integrated development of education, technology and talent in the AI field, emphasizing strategic leadership by aligning with national needs and strengthening foundational research, system restructuring by breaking down disciplinary barriers to unleash original innovation, and innovative practice by integrating the transformation chain to create a high ground for cultivating outstanding talents.

Determination of internal factors for project management and direction manuals in rural construction

2024-09-04T14:37:44+00:00

This article aims to propose a systemic approach procedure to identify key internal factors influencing the design and implementation phases of rural housing programs and projects in Loja, Ecuador. The expert method is employed as the main technique to determine critical subprocesses of effectiveness and influence in project management. Based on the findings, a general procedure manual for the Project Management System (SDPP) and a specific manual for the Project Life Cycle (DIP) are proposed. The study concludes that systematically integrating these internal factors into project management processes significantly contributes to improving productivity, quality, and the overall success of rural construction projects.

Strategy for the international insertion of cigb projects and products in high standard markets

2024-05-31T18:37:40+00:00

The paper consists of the development of a strategy proposal focused on the improvement of the external business scheme of Heber Biotec and the Center for Genetic Engineering and Biotechnology with the objective of accessing the technologies and financing that allow the rapid development of the projects/products and their commercial introduction in the highest standard markets. Through the use of different methods and tools of strategic foresight, the 2030 scenario was defined, from which 3 strategic objectives, 21 actions and 3 impact indicators were developed. The design and implementation of this strategy in the period 2024-2030 is classified as an organizational and process innovation, which defines the need to transform the organizational structure and current management systems of the company with the objective of generating greater capabilities for the development of new business models in the management and creation of new companies abroad and in Cuba that allow achieving greater international insertion.

Role of the lawyer in the resolution of economic conflicts

2024-05-31T18:06:15+00:00

The conflict of interests is a basic and essential element of any social system in general, and of the legal regulatory system in particular. When the interests of all subjects of legal relations coincide, it produces more than management; it produces a partnership and cooperation, in which there are no overbearing orders or imperative instructions based on dominant functions. Economic conflict constitutes a permanent and even necessary component of all social relations, especially economic and legal ones. This article aims to conceptualize economic conflict through its definitions, approaches, the role of the jurist in its resolution, and behaviors in complex systems and the resolution of economic conflict, highlighting the role of the jurist.

Social perception of technoscience and innovation from projects of the University of Computer Science

2024-09-04T14:23:41+00:00