This study aims to develop an innovation network model to help MSMEs recover from the downturn due to the pandemic. The basic model used is an innovation network consisting of associations, suppliers, customers and government. The basic model was developed by adding capital and digitalization variables to suit the needs. Data processing uses a structural equation model and the sample is MSMEs in West Java province. This study is the first on the innovation network model for MSMEs affected by the pandemic and the largest number of MSME respondents. The results conclude that according to MSMEs in Indonesia, suppliers, customers, government, associations, capital, and digitalization have an effect on the innovation network. This study concludes that associations, suppliers, customers, government, capital and digitalization all have a positive effect on the innovation network. This finding is the first in the innovation network model for MSMEs that accommodates the needs of the industry to recover from the pandemic situation and adds new literature on industrial innovation networks. While previous studies have a lot of similar literature, all focus on certain types of businesses and on normal economic conditions. This study is different from similar studies because it was conducted on MSMEs in all business sectors and economic conditions in crisis due to the pandemic. These results can be used as a reference in decision making to increase the growth of MSMEs with limited resources.

The aim of writing this research article is to determine the influence of supply chain challenges on MSMEs performance, Supply chain integration on Micro, Small, and Medium Enterprises (MSMEs) performance, Management commitment to MSMEs performance, Supply chain integration on Supply chain performance. This research method is a quantitative survey, research data was obtained by distributing online questionnaires via social media. 700 questionnaires were distributed to MSMEs owners and of the 700 questionnaires distributed, 350 respondents or 50% responded as determined by the simple random sampling method. This research adopted a quantitative method with data analysis using Structural Equation Modeling (SEM) Partial Least Square (PLS) with SmertPLS software data processing tools. The questionnaire was designed using a Likert scale of 1 to 7. The stages of data analysis were validity, reliability and hypothesis testing. or significance. The results of data analysis show that supply chain challenges have a positive and significant influence on MSMEs performance, Supply chain integration has a positive and significant influence on MSMEs performance, Management commitment has a positive and significant influence on MSMEs performance, Supply chain integration has a positive influence and significant to supply chain performance. The novelty of this research is the creation of a relationship model of supply chain integration, management commitment, supply chain performance, supply chain challenges and MSMEs performance. The implication of this research is to encourage improvements in MSMEs performance, MSMEs managers must encourage improvements or implement challenges in the supply chain. Supply chain integration and management commitment. Supply chain management is not just about managing the flow of goods, but also a holistic business strategy that can create a competitive advantage. With a deep understanding of supply chain components, challenges and strategies, companies can ensure smooth operations and meet customer expectations in a dynamic and global business environment. Implementing best practices in supply chain management is the key to building a strong foundation for business success in an era of ever-growing globalization.

This research aims to analyze and develop a theoretical framework, built with a performance model influenced by the work environment and entrepreneurial orientation, and mediated by organizational commitment. This research used a quantitative approach as the methodology. The survey was distributed using a questionnaire instrument. The population in this study were 6,708 MSME owners in Brebes Regency, Central Java, Indonesia, and the sample in this study were 377 MSME owners, which was determined using the Slovin formula. The sampling technique in this research used a non-random sampling with proportional sampling. Simultaneously, the statistical method used to test the hypotheses in this study is a multivariate Structural Equation Modelling (SEM). Based on the results of statistical tests, it can be known partially that 1) Work environment has a significant effect on the performance of MSMEs, 2) Entrepreneurial orientation has a significant effect on the performance of MSMEs, 3) Organizational commitment has a significant effect on the performance of MSMEs. 4) Work environment has a significant effect on organizational commitment, 5) Entrepreneurial orientation has a significant effect on organizational commitment, 6) Work environment has a significant effect on the performance of MSMEs through organizational commitment, and 7) Entrepreneurial orientation has a significant effect on the performance of MSMEs through organizational commitment. The novelty in this study is that the empirically constructed model of organizational commitment has proven to be significant as a mediation of the work environment and entrepreneurial orientation towards performance. with the strongest influence of work environment and entrepreneurial orientation on organizational commitment.