Current Issue : October-December Volume : 2026 Issue Number : 4 Articles : 5 Articles
Against the backdrop of accelerating knowledge flows and increasingly urgent demands for breakthroughs in key technologies, various organizational forms centered on collaborative R&D have emerged continuously. Internationally, Research Joint Ventures (RJVs) and Research Consortia have been proven effective in internalizing technology spillovers, sharing R&D risks, and have played significant developmental roles in high-tech industries such as semiconductors and biomedicine. However, the concept of “Innovation Consortium” proposed in China in recent years, while drawing upon international experience, places greater emphasis on enterprises’ leading role in technological innovation, government’s organizational guidance in major missions, and the deep integration of diverse entities at the industrial chain and innovation chain levels, forming a cooperative R&D organizational model with distinctive contextual characteristics. Yet existing research remains relatively fragmented in defining the conceptual connotations of Innovation Consortia, and systematic analysis of operational mechanisms is comparatively weak, urgently requiring integration and clarification through literature review. This paper systematically reviews existing research on the concept, organizational structure, and operational mechanisms of innovation consortia. It analyzes the composition of multiple actors, formation models, and key influencing factors, summarizes three types of operational mechanisms—network collaboration, competitive game, and internal coordination—and identifies three governance models: the single-center star model, the core R&D organization-led model, and the noncore consensus-based model. Furthermore, the paper recognizes multiple constraints faced by innovation consortia during implementation, including institutional, interest-related, knowledge transfer, and capability boundary issues, and reveals the potential risks of “remaining loosely coupled instead of truly integrated” and “being easy to establish but prone to disintegration”. Finally, this paper provides feasible practical implications and points out the limitations of current research in terms of micro-dynamic processes, quantitative testing, and dynamic evolution patterns. It also proposes future research directions in areas such as typological studies, enterprise-led mechanisms, and the impact of government policies, aiming to support theoretical development, policy optimization, and governance practices of collaborative R&D organizations in the Chinese context....
The purpose of the scientific research is to identify and argue the relationship between the quality and amount of taxation of digital products and services, and the development of digital businesses. It also aims to propose tax incentives for e-businesses. The focus of the scientific research is the digital competitiveness of countries in 2023, as well as the variables that influence it, such as GDP per capita, population size and the digital quality of life index. The research also examines the digital capabilities and innovative solutions that countries use to strengthen their competitive position in a globalised world. Methodology. Research using a graphical method to change the optimal production volume of a digital enterprise, alongside the methods of comparison, analysis and synthesis, made it possible to identify and explain the influence of tax principles and types of tax on digital products and services on the functioning of digital businesses in different countries worldwide (direct dependence). Results. The research revealed a significant correlation between the quality of digital service taxation and digital business development. Furthermore, the higher a country's knowledge and technological results, the faster its high-tech production scales. The impact of knowledge and robotics on the development of high-tech production is presented visually and explained. During the study of digital taxes, it was found that the order in which they are collected in many countries corresponds to the modern principles of taxation. Currently, institutionalisation of taxes on digital goods and services is underway, with tax rates ranging from 1 to 20%. Collection rules are periodically adjusted as the tax base expands. Practical implications. From a practical point of view, the publication's value lies in the author's recommendations for improving the quality of taxation for digital businesses and high-tech production. These recommendations will ensure the rapid filling of budgets in the future and contribute to sustainable economic growth. Value/Originality. The article reveals the issue of the digital capabilities of businesses and their management, and the ability of governments to make innovative economic decisions in order to strengthen their competitive position in the world in the context of globalisation. The article's contribution to theoretical scientific heritage lies in its study of taxes imposed on e-entrepreneurship and virtual businesses, assessing their impact on the level of digitalisation in the economy and production, as well as on budgetary revenues....
This study investigates the correlation between innovation strategies and firm performance within manufacturing firms in Kenya, concentrating on four dimensions: product, process, organizational, and marketing innovation. The analysis utilizes firm-level survey data obtained via structured questionnaires and employs multiple regression techniques to assess the reported correlation between innovation activities and financial performance outcomes. The findings reveal that product innovation exhibited the most significant positive correlation with ROI, succeeded by process innovation, whereas marketing innovation also demonstrated a positive coefficient. Organizational innovation exhibited a positive correlation but lacked statistical significance in the presented model. These findings indicate that innovation is significant for firm performance, yet its importance varies across different dimensions. The article interprets the empirical model as a ROI-based specification, as ROI is the dependent variable presented in the regression output, despite the paper’s questionnaire conceptualizing firm performance more comprehensively. The findings must be regarded as reported associations rather than causal effects due to the crosssectional design, self-reported measures, potential common-method bias, possible reverse causality, and internal inconsistencies in certain aspects of the reported paper output....
The rapid development of digital technologies has radically changed the conventional commercial environment and turned it into a connected platform economy which is characterized by the domination of such features as data, extreme scalability and network effects. At the same time, along with all these innovations, there are serious issues related to ecosystem vulnerability, cybersecurity risks and instability. This research examines the risk architecture of digital ecosystems by analyzing how various digital and economic factors affect platform vulnerability. By means of quantitative platform business model assessment, the study uses a secondary dataset including 2,250 observations and 17 variables gathered from digital platforms around the world for the period between 2020 and 2024. A variety of statistical approaches were used in the research, namely, descriptive statistics, correlation analysis, independent t-test, ANOVA, Mann-Whitney U test, OLS regression and logistic regression. As a result, there were discovered extremely low correlations and statistically insignificant relationships between isolated variables and very poor performance of the predictive regression models. Therefore, it can be concluded that the studied isolated digital and economic factors have little explanatory and predictive value concerning platform risk in the considered sample....
Against the backdrop of deepening globalization, the localized Chinese translation of English commercial advertisements has become a key step for brands entering the Chinese market. This paper introduces the translation schema theory from the interdisciplinary field of cognitive psychology and translation studies, and systematically explains the mechanisms of activation, adjustment, and reconstruction of linguistic schemas, cultural schemas, and formal schemas in the process of Chinese advertisement translation. By analyzing cases of English-to-Chinese advertisement translation, this paper proposes that translators should consciously identify the schematic elements in English advertisements and perform schema conversion or reconstruction based on Chinese readers’ cognitive habits and cultural background, so as to achieve the dual goals of effective information transmission and emotional resonance in the Chinese translation of English commercial advertisements....
Loading....