Identifying and prioritizing effective strategies in strategic human resource planning using multi-fuzzy multi-criteria decision-making methods (Case study; Export Development Bank of Iran)

Identifying and prioritizing effective strategies in strategic human resource planning using multi-fuzzy multi-criteria decision-making methods (Case study; Export Development Bank of Iran)
Sayyed Mohammad Tabatabaeifar, Masoud Haghighi, and Mohamad Ali Jafari
International Journal of Nonlinear Analysis and Applications, ۱۳ (۱) (۲۰۲۲), ۳۵۱۷-۳۵۳۳.

Abstract

Energy is one of the popular and important industries in the world. Currently, technologies and other areas of knowledge such as IT, have increased the productivity of the energy industry. In the current ecosystem of the energy management, the internet of things in the smart network has gained much of a potential due to its advantages in different areas. Based on the general policies in science and technology and the access to the advanced science and technology in this area, suggesting strategies for marketing in the energy industry is needed, considering the modern technologies. Therefore, the current study suggests some strategies for more productivity of energy. The analysis of the marketing in the smart energy network and the related model could be done for the sake of better productivity from energy. The ideal model means the most appropriate marketing strategies. This study analyzes the potentials and lim-itations of the macro-strategies of development based on the internet of things. The research borrows SWOT and QSPM models in this regard. In addition, a general defensive approach for using the internet of things in the area of energy is put forth as a result of the study, through which the internet of things could be used in strategic energy industries

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