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All Journal International Journal of Supply Chain Management IJEFSD
balchat, Baqer ali
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Environmental Science Industrial & Manufacturing Engineering Transportation

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RISK MANAGEMENT PRACTICES IN THE INSURANCE INDUSTRY BY CONSIDERING SUPPLY CHAIN MANAGEMENT balchat, Baqer ali; jabbar abed, Iftehar
International Journal of Supply Chain Management Vol 8, No 1 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (505.06 KB)

Abstract

Abstractâ?? Risk management leads to more informed decision making, coherent planning and better use of resources; Risk management helps companies achieve their financial and strategic goals in the face of the risks posed by the permanent complexity of the global economy. Given the rapid pace of global developments and the resulting various uncertainties in supply chain operations have made that supply chain risk management is a very important issue today. Given that supply chain risk management has a great impact on the stability of the relationship between partners in the supply chain, therefore, a decision-making model for supply chain risk management helps to solve the supply chain issues considerably. In this paper decision-making model based on product lifecycle, operational cycle, and operational factors of the organization are presented for insurance risk management. The main purpose of this study is to identify the factors affecting supply chain risk and to measure its effects in the insurance industry of the country. This paper has been a descriptive-correlational research and has used multiple regression analysis techniques and path analysis to determine the factors affecting the supply chain risk.
The Role of Generative Artificial Intelligence (GenAI) in Enhancing Self-Learning and Developing Employees’ Digital Skills: An Applied Study in the Oil Products Distribution Authority in the Middle Euphrates Region Balchat, Baqer Ali
International Journal on Economics, Finance and Sustainable Development Vol. 8 No. 2 (2026): International Journal on Economics, Finance and Sustainable Development (IJEFSD
Publisher : Research Parks Publishers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijefsd.v8i2.5680

Abstract

Research aims to study role intelligence artificial genital (GenAI) in strengthening learning self and development skills digital have employees, from during research applied in body distribution products oil in euphrates the middle it starts. The problem research from presence gap note in level skills digital have some employees, weakness accreditation on methods learning self modern, which limits from effectiveness programs development job traditional. It is assumed that employment technologies intelligence artificial obstetric, like models linguistic Interactive, maybe that contributes in to improve abilities employees via to provide environment to learn flexible interactive it depends on Guidance Immediate, and simplification concepts administrative and technology, Presentation content its training custom according to needs the learner  adopted. Search curriculum descriptive analytical, with application tool questionnaire on sample from employees the authority addition to Interviews with some officials in units training and development. It includes analysis measurement level awareness with intelligence artificial, and extent use its tools in learning self, and impact that on development Skills digital like use applications office, and management data, and dealing with Systems electronic and from expected that show results presence relationship positive between use tools GenAI and increase efficiency learning self please on to improve clear in level skills digital have the employees. As well Seeks Search to presentation model applied maybe Its adoption inside the foundation to merge intelligence artificial in Programs training and development continuous and concludes Search to that intelligence artificial obstetric it represents tool strategy effective to support transformation digital in Institutions governmental, provided availability environment organizational supportive and policies clear Include usage optimum for this technologies.
Co-Authors jabbar abed, Iftehar