New green economy policy integrating the economic dimension in the face of environmental problems in the case of a Moroccan agri-food company
Role of political economy in mediating innovation and entrepreneurship–a perspective based on some cases from Nepal
Developing a maturity model to identify digital skills and abilities of accounting professionals: evidence from Turkey
Comparative Measurement of Intellectual Potential in Economiсs of Ukraine and Romania
Conceptual framework for the development of an e-government licensing system
Volume 4, Issue 1, January 2023
Volume 3, Issue 3, September 2022
Volume 3, Issue 1, January 2022
Volume 2, Issue 3, September 2021
Volume 2, Issue 1, January 2021
Volume 1, Issue 2, September 2020
In recent centuries, modern technologies and strategies have made drastic changes in every sector in which business is the prominent field for undergoing a remarkable transition which is widely considered the most crucial opportunity that helps in the growth of welfare economics. To fulfil the rising demands and necessities of the increasing population, the development of every sector is a quintessential factor to a greater extent. The economic growth of a developing country is highly dependent on the successful progression of business organizations worldwide.
Innovative technologies and techniques create more significant impacts on business organizations through their effective and efficient performance. The integration of technological advancements like AI (Artificial Intelligence), cloud computing, IoT (Internet of Things), and ML (Machine Learning) are found to be influencing majorly in the development of business organizations. Added to this fuzzy algorithm and its applications is a primary and vital tool for maintaining and completing the task, thereby increasing the performance of a business. The evolution of fuzzy logic systems in business organizations is becoming increasingly important with their innovative business models for better functionalities. Researchers envisaged that fuzzy algorithms are a promising trend in introducing fuzzy systems for operational research and business intelligence, which aids in making intelligent organizational decisions. Applications of fuzzy algorithms comprise ordered fuzzy sets and instructions that help find an appropriate solution to complex problems. With the proper execution of fuzzy instructions, applications of fuzzy algorithms are significantly used in electronic controlling networks to increase a business organization's efficiency. Additionally, the applications of fuzzy logic systems in business organizations help improve the accounting and management process more appreciably.
Although merging technological trends federated with fuzzy logic techniques has made a remarkable proposition for managing business organizations and applications, it also has certain limitations and drawbacks. The limitations are data vulnerability, lack of technical knowledge, and undefined systems that must be addressed. Researchers and practitioners are most welcome to present a theoretical and conceptual research framework regarding this context. The special issue provides various opportunities for academicians to discuss various technologies and techniques for managing businesses organization for the betterment of society and the nation.
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