Most researchers hold the role of dynamic capability (DC) as a key factor of achieving sustainable entrepreneurship performance (SEP) and Organizational Performance (OP) with the competitive advantage of knowledge management practices (KMPs). However, the effects of KMPs with SEP and OP are still under discussion. Moreover, the ambidexterity view, exploring the direct impact of KMPs mediated by dynamic capabilities (DC), gives evidence of sustainable entrepreneurship and organizational performance. Measuring the gathered data of 480 textile-based SME entrepreneurs and organizations through structural equation modeling, the study’s finding shows that KMPs positively and significantly influence sustainable entrepreneurship and organizational performance. Furthermore, this study explores the partial mediation of dynamic capabilities among KMPs with SEP and organization performance. At the same time, opportunity recognition is a moderator that strengthens the relationship between DCs with sustainable entrepreneurship and organizational performance. The study is limited to male textile-based SMEs and can be enhanced by female entrepreneurs. Furthermore, this research contributes to entrepreneurship students by encouraging better research work in current and existing studies, and practically assists government and private policymakers and business practitioners to formulate better strategies for the sustainability and economic growth of a country.
Scattering hyperspectral technology is a nondestructive testing method with many advantages. Here, we propose a method to improve the accuracy of egg freshness, research the influence of incident angles of light source on the accuracy, and explain its mechanism. A variety of weak classifiers classify eggs based on the spectra after preprocessing and feature wavelength extraction to obtain three classifiers with the highest accuracy. The three classifiers are used as metamodels of stacking ensemble learning to improve the highest accuracy from 96.25% to 100%. Moreover, the highest accuracy of scattering, reflection, transmission, and mixed hyperspectral of eggs are 100.00%, 88.75%, 95.00%, and 96.25%, respectively, indicating that the scattering hyperspectral for egg freshness detection is better than that of the others. In addition, the accuracy is inversely proportional to the angle of incidence, i.e., the smaller the incident angle, the camera collects a larger proportion of scattering light, which contains more biochemical parameters of an egg than that of reflection and transmission. These results are very important for improving the accuracy of non-destructive testing and for selecting the incident angle of a light source, and they have potential applications for online non-destructive testing.
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