In the condition of uncertainty, organizations try to adapt through natural selection, rational selection and strategic choice. Adaptive strategy is an option through entrepreneurship activities, technology transfer and administrative system (structure, control, and process) to survive and compete on the conditions of uncertainty. This research aims to analyze the effect of halal quality management and adaptive strategy on the superior performance of halal micro small medium-sized enterprises (MSMEs) on the conditions of uncertainty post covid-19. This study was conducted with quantitative approach through focus group discussion of 100 business owners of halal food MSMEs registered in Halal Certification Agency of Indonesia Ulama Council in Central Java. The analysis of factors affecting the performance of halal MSMEs was carried out by using binary logistic regression analysis. The result found out that the performance of halal food MSMEs on the conditions of uncertainty is affected not only by halal quality management, but also by adaptive strategy of halal innovation strategy. This result affects halal MSME strategy in the conditions of uncertainty; not only relying on halal certification to ensure the production and halal distribution chain, but also being innovative and adaptive.
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.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.