The objective of this study was to examine the role of Industry 4.0 in the sustainable supply chain (SSC). The relationship between Industry 4.0, data storage, data assessment, performance evaluation, data inquiry and SSC were examined. To achieve the study objective, the mediation effect of data storage, data assessment, performance evaluation and data inquiry between Industry 4.0 and SSC was examined. Employees of textile companies were selected for data collection in Indonesia. Results of the study highlighted that Industry 4.0 had a significant positive effect on SSC. Better implementation of Industry 4.0 showed a positive effect on SSC. In addition to this, Industry 4.0 had a positive effect on data storage, data assessment, performance evaluation and data inquiry. Finally, data storage, data assessment, performance evaluation and data inquiry had a positive effect on SSC.

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This study aimed to determine whether the structural equation model accurately predicted the impact of intellectual capital, the creative economy, and the marketing mix on the development of community companies in Thailand during the COVID-19 crisis. In the sample group, the analysis of structural equation models using Kline's (2011) sample size calculations, 200 or more samples were obtained. The researcher collected 230 samples to reduce discrepancies and assigned a simple random selection. The population used in the study consisted of 6,942 members of the community enterprises in area 2 (Sample group). Descriptive statistics include frequency and percentage data, Standard deviation, the arithmetic mean, multivariate statistical analysis, and structural equation modeling (Structural Equation Model). The findings demonstrated that all factors were positively correlated and statistically significant at the 0.05 level. The correlation coefficient ranges from 0.403 to 0.652. The results of the structural equation model's conformity test with the empirical data.