The economic impact of a public emergency, such as the COVID-19 pandemic, is often reduced by micro and small businesses (MSEs) undertaking sustainability-oriented innovation for public emergencies (SOIPE), which includes production and service innovation, information innovation, marketing innovation, and labor innovation. The originality of this study lies in its prediction and evaluation of COVID-19′s challenges and SOIPE’s requirements to have a keen observation and discovery ability. In this paper, we combined nominal group technique, fuzzy analytical hierarchy process, least squares, and a case study to investigate governance, economic, financial, sociocultural, and environmental sustainability and demonstrate the MSEs’ sustainability evaluation model. In a qualitative study and literature review, MSEs were found to use SOIPE in a variety of ways. Some studies focused on marketing innovation, while others were hampered by their limited understanding. From both a theoretical and empirical perspective, this study suggests that MSEs should identify their optimal SOIPE based on the impact and volatility of a public emergency. In addition, this study presents an assessment of the impact and environmental volatility of a public emergency, as well as MSEs’ SOIPE, which is more helpful for enterprises. Finally, this study creatively introduces the SOIPE of MSEs, which has important policy ramifications.
This study investigated the effects of dietary protein to energy (P/E) ratios on the nutrients and minerals digestibility of Labeo rohita fingerlings. Twelve experiment diets containing four protein levels (24, 26, 28, and 30 %) at three dietary energy levels (2400, 2700, and 3000 kcal/kg) with P/E ratios from 80.00 to 125.00 mg / kcal were evaluated. Each diet was randomly assigned to triplicate groups of seventeen fish averaging 6.5±0.6 g (mean±SD) for 10 wk. The chromic oxide in the diets was added as an additional inert marker to determine the digestibility of nutrients. The results from present study were demonstrated that the dietary P/E ratio significantly affects digestibility of protein, lipid and gross energy. In addition, the interactions of protein and energy significantly (p < 0.05) affected the digestibility of crude proteins, lipids, gross energy however, no significant (p > 0.05) effect was observed in digestibility of dry matter and ash. The increasing dietary P / E ratio significantly increased the digestibility of Na, Ca, P, Cu, Mn, Zn, and Fe. The diet with P / E ratio of 86.67 mg / kcal showed higher digestibility of dry matter (69.38±1.06), crude protein (88.18±1.59), lipid (93.43±0.22) and gross energy (86.50±0.57) while lower digestibility was observed in D12 (dietary protein 30% and dietary energy 3000 kcal/kg) with P/E ratio 100.00 mg / kcal. In conclusion, P/E ratio of 86.67 mg digestible protein / kcal digestible energy shows the maximum digestibility of nutrients and minerals in Labeo rohita fingerlings.
In Pakistan, the fisheries sector is capable of making a significant contribution to the national economy. However, the proper and sustainable development of this sector is essential to its success, and we need to be aware of all the risks that it faces. At present, there is a dearth of comprehensive research that details, compares, and proposes applied measures to mitigate the risks facing the fisheries sector. Thus, this study is the first novel attempt to fill this gap. The data were collected through a survey and analyzed by multi-criteria decision analysis (MCDA). The study postulates that Sindh fisheries are affected by five main risk factors, namely technical, market, ecological, natural, and management. These risk factors are arranged from least to most significant. With regard to the performances of the main risk factors, management risk was ranked as the greatest risk, followed by ecological risk, natural risk, and technical risk. The findings of this study provide a road map for managerial decisions. Furthermore, this study also presents some potential limitations related to the scale of the data and analysis methods. Future studies may therefore use data collected on a large scale and alternative quantitative approaches.
China has a large number of gas stations, with which thousands of workers are associated. There is abundant online literature documenting the various occupational health risks these workers face. However, this literature has many flaws to address, and it falls short of suggesting measures to manage these risks. This study strives to fill that gap, and aims to improve the occupational health of gas station workers through comprehensive risk management and performance analysis. To this end, a reasonable volume of reliable data, i.e., 208 completed questionnaires, were analyzed through current statistical routines, viz., fuzzy Analytical Hierarchy Process (AHP) and Importance Performance Analysis (IPA). These methods were employed to hierarchically organize the main factors and sub-factors of physical risk management, chemical risk management, biological risk management, physiological risk management and psychological risk management according to their appraised importance, and screen out the risk management stratagem for priority improvement. Research findings reveal that chemical risk and biological risk response schemes have the lowest performance, and need to be prioritized for improvement. Furthermore, this study argues that we can safeguard the occupational health of gas station workers through appropriate risk management strategies. It also elaborates on implications, limitations and future research directions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.