This research aims to empirically examine the role of learning organization practices in enhancing sustainable organizational performance, utilizing knowledge management and innovation capability as mediating variables. The study was conducted in public IT companies across China, which is a vital sector for driving innovation and economic growth. A mixed-methods approach was employed, with quantitative methods accounting for 70% and qualitative methods for 30% of the research. Purposive sampling was utilized to distribute questionnaires to 546 employees from 10 public IT companies. Statistical analysis was conducted using Structural Equation Modeling (SEM). The findings indicate that learning organization practices significantly influence knowledge management practices (β = 0.785, p < 0.001) and innovation capability (β = 0.405, p < 0.001). Furthermore, knowledge management practices positively contribute to sustainable organizational performance (β = 0.541, p < 0.001), while innovation capability also has a positive effect (β = 0.143, p < 0.001). Moreover, knowledge management practices partially mediate the relationship between learning organization practices and sustainable performance, with a total effect of 0.788 (p < 0.001). The mediating role of innovation capability is also significant, with a total effect of 0.422 (p = 0.045). The study further includes qualitative in-depth interviews with 20 managers from 10 IT companies across five regions in China: East, South, West, North, and Central. Senior managers were selected through a stratified sampling method to ensure comprehensive representation by including both the largest and smallest companies in each region. These findings underscore the critical role of learning organizations in promoting sustainability through effective knowledge management and innovation capabilities within the IT sector.

Using the Resource Advantage Theory approach, this research aims to examine the gap between entrepreneurial opportunities and marketing performance, with market-based innovation capability acting as a mediating variable. The data collection method used non-probability sampling with a purposive sampling technique. The data that was eligible to be processed were 250 respondents. Hypothesis testing was used using the AMOS application. The research results show that market-based innovation capability can improve marketing performance as a mediating variable. In addition, market penetration strength can also improve marketing performance. As a strategic variable, market-based innovation capability (MBIC) converts entrepreneurial opportunities into competitive advantages relevant to market needs. In addition, business actors become more adaptive and responsive to market dynamics, increasing competitiveness sustainably. MBIC, rooted in the Resource Advantage Theory of competition, contributes to developing market-based innovation strategies in the UMKM sector.

Universities play a key role in university-industry-government interactions and are important in innovation ecosystem studies. Universities are also expected to engage with industries and governments and contribute to economic development. In the age of artificial intelligence (AI), governments have introduced relevant policies regarding the AI-enabled innovation ecosystem in universities. Previous studies have not focused on the provision of a dynamic capabilities perspective on such an ecosystem based on policy analysis. This research work takes China as a case and provides a framework of AI-enabled dynamic capabilities to guide how universities should manage this based on China’s AI policy analysis. Drawing on two main concepts, which are the innovation ecosystem and dynamic capabilities, we analyzed the importance of the AI-enabled innovation ecosystem in universities with governance regulations, shedding light on the theoretical framework that is simultaneously analytical and normative, practical, and policy-relevant. We conducted a text analysis of policy instruments to illustrate the specificities of the AI innovation ecosystem in China’s universities. This allowed us to address the complexity of emerging environments of innovation and draw meaningful conclusions. The results show the broad adoption of AI in a favorable context, where talents and governance are boosting the advance of such an ecosystem in China’s universities.

This study, drawing on the Knowledge-Based View (KBV) and Contingency Theory, explores how analyzer strategic orientation, learning capability, technical innovation, administrative innovation, and SME growth and learning effectiveness are interrelated. Analyzing cross-sectional data from 407 founders, cofounders, and managers of trade and service SMEs in Vietnam’s Southeast Key Economic Region through PLS-SEM, the research demonstrates that analyzer orientation positively impacts both technical and administrative innovation, thereby bolstering SME growth and learning effectiveness. However, learning capability does not significantly impact technical innovation or growth and learning effectiveness. Instead, learning capability negatively affects administrative innovation. Notably, technical and administrative innovations act as mediators between analyzer orientation and SME growth and learning effectiveness. The study provides practical insights tailored for SMEs navigating dynamic market environments like Vietnam, enriching theoretical understanding of SME strategic management within the trade and service sector.

Small-scale businesses have long been recognized as an important part of economic development and integrating them with industrial parks is both recommended and necessary for long-term success. In line of this, the objective of this study was to investigate the role of IPs entrepreneurial ecosystem in boosting the capabilities of small businesses. Data were collected from 245 small manufacturing business owners via simple random sampling and analysed using multivariate regression analysis. Thus, the ability of small enterprises is positively impacted by the presence of a more robust and appropriate entrepreneurial ecosystem. Similarly, a firm’s resource capabilities are more impacted by the entrepreneurial ecosystem when there is a better link between academia and industry. Furthermore, entrepreneurial skills are found to play a mediating role between the entrepreneurial ecosystem and firms’ technological capabilities. Another finding revealed that managerial expertise significantly mediates entrepreneurial ecosystems and firms’ resource capabilities. This finding suggested that the policymakers, better to formulate policies that encourages small businesses to engage in the industrial parks which results in an inclusive firm’s performance.