The article presents an answer to the current challenge about needs to form methodological approaches to the digital transformation of existing industrial enterprises (EIE). The paper develops a hypothesis that it is advisable to carry out the digital transformation of EIE based on considering it as a complex technical system using model-based system engineering (MBSE). The practical methodology based on MBSE for EIE digital representation creation are presented. It is demonstrated how different system models of EIE is created from a set of entities of the MBSE approach: requirements—unctions—components and corresponding matrices of interconnections. Also the principles and composition of tasks for system architectures creation of EIE digital representation are developed. The practical application of proposed methodology is illustrated by the example of an existing gas distribution station.

Interest in the impact of environmental innovations on firms’ financial performance has surged over the past two decades, but studies show inconsistent results. This paper addresses these divergences by analyzing 74 studies from 1996 to 2022, encompassing 4,390,754 firm-year observations. We developed a probability-based meta-analysis approach to synthesize existing knowledge and found a generally positive impact of environmental innovations on financial performance, with a probability range of 0.85 to 0.97. Manufacturing firms benefit more from environmental innovations than firms in other industries, and survey-based studies report a more favorable relationship than those using secondary data. This study contributes to existing knowledge by providing a comprehensive aggregation of data, supporting the resource-based view (RBV) and the Porter hypothesis. The findings suggest significant policy implications, highlighting the need for tailored incentives and information-sharing mechanisms, and underscore the importance of diverse data sources in research to ensure robust results.

Nowadays, finding a suitable solution to the problem of generational change in case of small and medium-size enterprises (SMEs) is becoming increasingly challenging. The aim of this research to investigate whether entering into the stock exchange could be a realistic alternative for Hungarian companies to eliminate this issue. This study reviews the process of Initial Public Offering (IPO) and summarises the advantages and the difficulties of going public. The paper focuses on the opportunities for value creation and saving offered to SMEs by listing on the stock exchange. As primary research on practical experiences, semi-structured in-depth interviews were conducted with the managers of 10 involved companies, and some financial indicators were examined. The research does not cover all relevant companies; however, it is still suitable for drawing a conclusion. The presence on the stock market proved to be useful for the companies and played a significant role in the preservation of the company’s value as well as in financing opportunities. The path demonstrated in this article is suitable for other businesses to follow the pioneers.

The research addresses the importance of ethics in public administration, focusing on public servants in the municipality of Rionegro, Colombia. Ethics is presented as an essential element to promote transparency and combat corruption in public management. Despite the fact that the 1991 Constitution establishes ethical principles, their application in practice remains a challenge, with a high level of immorality in public service. The study highlights the diversity of professional profiles in public servants, which hinders consistent ethical management. In addition, it mentions that many civil servants lack political training and understanding of the importance of their role, which contributes to corruption. Ethics, according to the authors, is a key tool for strengthening institutions and regaining public trust. The research evaluated the impact of a professional ethics training program on public servants, finding significant improvements in their ethical knowledge and behavior. It concludes that, although ethics will not solve all corruption problems, it is an indispensable component for strengthening accountability and justice in public administration. It underscores the need to implement continuous training programs that promote ethical values as part of a strategy to improve efficiency and transparency in public institutions.

The Intellectual Property (IP) chapter of the Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP) is recognized for its extensive coverage, encompassing a broad range of innovation areas such as patents, trademarks, geographical indications, and copyright. This chapter sets a new global benchmark for IP protection, posing significant challenges to the existing legal frameworks of member countries and necessitating rapid adaptation, particularly for developing members like Vietnam, Malaysia, and Mexico. These nations have undertaken comprehensive revisions to their IP laws to align with the international standards established by the CPTPP. Despite their unique national contexts, the legal amendments reflect distinct strategies and methodologies in meeting international standards. This paper conducts a qualitative analysis of Vietnam, Malaysia, and Mexico, comparing their law amendment strategies, contents, and techniques across three dimensions. It highlights the distinctive characteristics and impacts of their legal revisions, offering valuable insights for other prospective developing members within the CPTPP framework on the practice of IP law reform.

Cyber-physical Systems (CPS) have revolutionized urban transportation worldwide, but their implementation in developing countries faces significant challenges, including infrastructure modernization, resource constraints, and varying internet accessibility. This paper proposes a methodological framework for optimizing the implementation of Cyber-Physical Urban Mobility Systems (CPUMS) tailored to improve the quality of life in developing countries. Central to this framework is the Dependency Structure Matrix (DSM) approach, augmented with advanced artificial intelligence techniques. The DSM facilitates the visualization and integration of CPUMS components, while statistical and multivariate analysis tool such as Principal Component Analysis (PCA) and artificial intelligence methods such as K-means clustering enhance complex system the analysis and optimization of complex system decisions. These techniques enable engineers and urban planners to design modular and integrated CPUMS components that are crucial for efficient, and sustainable urban mobility solutions. The interdisciplinary approach addresses local challenges and streamlines the design process, fostering economic development and technological innovation. Using DSM and advanced artificial intelligence, this research aims to optimize CPS-based urban mobility solutions, by identifying critical outliers for targeted management and system optimization.