Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Nasser El-Kanj"'
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2023)
Green Supply Chain Management (GSCM) is essential to ensure environmental compliance and commercial growth in the current climate. Businesses constantly look for fresh concepts and techniques for ensuring environmental sustainability. To keep up with
Externí odkaz:
https://doaj.org/article/d57be847b6df44e1b9e910a75efdb287
Autor:
MUDASSIR SHAMS, NAILA RAFIQ, NASREEN KAUSAR, PRAVEEN AGARWAL, NAZIR AHMAD MIR, NASSER EL-KANJ
Publikováno v:
Fractals. 30
In this work, we construct a new family of inverse iterative numerical technique for extracting all roots of nonlinear equation simultaneously. Convergence analysis verifies that the proposed family of methods has local 10th-order convergence. Among
Publikováno v:
Applied Mathematics and Nonlinear Sciences.
This paper constructs the state transition diagram of the retailer's economic management risk control in the supply chain. At the same time, we construct the differential equation of the model. Based on the differential equation theory, we establish
Publikováno v:
Applied Mathematics and Nonlinear Sciences.
In order to reduce the default rate of corporate bond market, the author proposes to use digital signal processing and multiple regression analysis to study the prediction system of financial distressed companies. First, design the research method, L
Publikováno v:
Applied Mathematics and Nonlinear Sciences.
This article uses structural equation modeling (SEM) to analyze and study the factors affecting corporate financial risks. At the same time, the regression analysis model is used for risk warning. The empirical test effectively proves that the format
Publikováno v:
Applied Mathematics and Nonlinear Sciences.
This paper attempts to use nonlinear differential equations as a research model. The purpose of this paper is to analyze the risk of financial management. This paper uses the chaos theory of a general nonlinear system to study the differential relati
Autor:
Mohamed Sraieb, Ammar Jreisat, Mustafa Raza Rabbani, Somar Al-Mohamad, Nasser El-Kanj, Audil Rashid Khaki
Publikováno v:
2022 International Conference on Decision Aid Sciences and Applications (DASA).