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Identifying and prioritizing the effective factors in equipping banks' resources (case study, Tejarat Bank of Zanjan province)
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Yousef Ebrahimi1   , Yagoub Alavimatin 2, Sahar Khoshfetrat3 , Hasan Refagahat3 |
1- Ph.D. Student of Tabriz Branch
2- Assistant Professor of Tabriz Branch , alavimatin@iaut.ac.ir
3- Assistant Professor of Tabriz Branch |
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Abstract: (946 Views) |
Banks, while accompanying the economic programs of countries, also seek to gain benefits for their beneficiaries. To achieve these goals, they need to equip and optimally allocate resources, and one of the important issues in this field is to know the effective factors in attracting resources. The purpose of this research is to identify and prioritize factors affecting the provision of bank resources. To achieve the goal of the research, by reviewing the background of the research, the mission of the bank and the opinions of banking experts, 62 factors were presented in the form of a questionnaire. The reliability of the questionnaire was tested and confirmed with Cronbach's alpha after the approval of banking experts and the pre-test. After collecting research data through a questionnaire, the identification of the effective components on the methods of resource attraction was extracted using structural equation modeling (partial least squares model) and factor analysis. Based on the obtained t-value, which was higher than 1.96, the influence of external and internal factors on resource allocation was generally confirmed. This relationship was also confirmed in the dimension of intra-organizational factors. According to the path coefficients obtained in the final model of the research, the influence of intra-organizational factors (0.863) is higher than extra-organizational factors (0.192) in equipping resources. In examining the influence of dimensions of internal organizational factors; Communication and human, service, physical and financial factors were placed in priority 1 to 4 respectively. |
Article number: 7 |
| Keywords: Factor analysis, partial least squares, external factors, internal factors |
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Full-Text [PDF 1302 kb]
(662 Downloads)
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Article type: Research |
Subject:
Special
Received: 2023/01/4 | Accepted: 2023/08/26 | Published: 2023/10/2
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