Based on the enterprise knowledge-based view, this study follows the basic logic of “knowledge acquisition-knowledge transformation-knowledge creation” to explore the effects of cross-border search and knowledge co-creation on the service innovation performance of manufacturing enterprises. Furthermore, compositional capability is introduced to investigate the moderator in the connection of knowledge co-recreation and service innovation performance. We collected 378 samples from the organizations that are taking servicizing transformation in China’s manufacturing industry. Then we applied structural equation modeling (SEM) to test our research model. The results reveal that both cross-border technological knowledge search and cross-border market knowledge search can significantly improve embedded knowledge co-creation and alliance-based knowledge creation of manufacturing enterprises, and then, directly and indirectly, boost service innovation performance. Compositional capability positively moderates the relationship between embedded knowledge co-creation and service innovation performance. This study provides theoretical and practical guidance for knowledge-based service innovation in China’s manufacturing industry.

Purpose: This paper aims to examine the dimensional structure of decent work perception among logistics digital gig workers (LDGWs) and develop a measurement scale to capture their unique work experiences under the platform economy and algorithmic management context. Design/methodology/approach: The study used a mixed-methods approach, gathering qualitative data through semi-structured interviews with 31 LDGWs. Core dimensions of decent work perception were derived using literature review and grounded theory. A measurement scale was then developed, with 321 valid questionnaires collected and validated using exploratory factor analysis, confirmatory factor analysis and reliability and validity tests. Findings: The decent work perception among LDGWs was conceptualized into four dimensions: respect and fairness, freedom and autonomy, safety and reliability and confidence and fulfillment. The scale exhibited strong reliability and validity, proving effective in measuring decent work perception among LDGWs. Originality/value: This research deconstructs the conceptual framework of decent work perception among LDGWs, broadening the dimensions of decent work for this emerging group in the digital economy. It enriches theoretical studies on decent work in the context of the platform economy and algorithmic management. Furthermore, to our knowledge, this study develops the first measurement scale for this topic, offering a foundational tool for subsequent quantitative research.

Based on the resource orchestration theory, this study built a research model to understand the effect of supply chain network insight and supply chain integration on enterprise performance. We also involved the contingency theory to investigate the moderating effect of environmental uncertainty on supply chain integration and enterprise performance. We collected the data samples from 405 enterprises and used the SEM approach to verify the model. Results demonstrated the direct path of network insight to promote enterprise performance, the indirect path of supply chain integration as a mediating factor, and the role of environmental uncertainty as a boundary condition for the relationship between supply chain integration and enterprise performance, thus making theoretical and practical contributions to the management of supply chain resources and relationships and the performance enhancement of manufacturing.

Background: Obesity, as a global chronic disease, is causing an increasing risk of cardiovascular disease. This study used bibliometrics to synthesize and analyze publications related to obesity and cardiovascular risk from 2014 to 2024. It aimed to clarify the current status of research, predict future trends, and provide a scientific basis for prevention and treatment. Methods: In this study, we used bibliometrics online analysis platform, Citespace (version 6.3.R1, LLR algorithm) and VOSviewer (version 1.6.20) software to analyze the co-occurrence network analysis of publications related to cardiovascular risk of obesity in worldwide for countries, institutions, authors, and journals from January 2014 to September 2024, and keyword co-occurrence, clustering, and burst analysis were performed to reveal research trends and hotspots. Results: A total of 1492 articles related to cardiovascular risk in obesity were selected for this study, and in terms of the number of publications showed a steady increase over time. Based on keyword clustering analysis, the field can be summarized into two research themes: the field of the relationship between health indicators such as BMI, waist circumference, cardiovascular disease, and the field of metabolism and obesity-related issues. According to the keyword burst analysis, the keywords cholesterol, oxidative stress, non-alcoholic fatty liver disease, and ratio to height became prominent and will be the main research hotspots in the future. Conclusion: In recent years, there has been a rapid increase in cardiovascular risk research in obese patients. This article reveals the remarkable progress and dynamic trends in this field, providing strong support for exploring new directions, as well as laying a data foundation for public health policy development and interdisciplinary collaboration. Future research should prioritize focusing on mechanism exploration and clinical application of novel drugs to promote health improvement.