• Title/Summary/Keyword: Islamic Finance Industry

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Impacts of Corporate Social and Philanthropy Communications on Customer Loyalty: New Evidence from Saudi Banking Market

  • SOMILI, Hassan M.
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.7
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    • pp.273-280
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    • 2022
  • The study aimed to determine the impact of societal participation on the customer loyalty of Saudi banks and identify the statistical differences in customer loyalty according to sex, age, education level, and occupation type. The independent variable is corporate societal participation, and the dependent represents customer loyalty. Corporate societal programs have two dimensions: social participation and philanthropic participation. The research population consists of Saudi workers in three sectors: government, military, and private reached 3.58 million people in 2021. The unit of analysis is the Saudi employee in one formal industry and dealing with the Saudi banks that offered corporate societal participation programs. The research used the appropriate stratified sampling method, and the recommended sample size reached 387 respondents. A fully structured questionnaire is used. The study concluded that corporate social programs have not impacted customer loyalty, while corporate philanthropy programs strongly affected customer loyalty. On the other hand, there are no differences in customer loyalty according to demographics (sex, age, education, and occupation type). Finally, the study presents a set of recommendations in the field of corporate social responsibility and develops the local communities.

Frequency response of elastic nanocomposite beams containing nanoparticles based on sinusoidal shear deformation beam theory

  • Hou, Suxia;Wu, Shengbin;Luo, Jijun;Nasihatgozar, Mohsen;Behshad, Amir
    • Steel and Composite Structures
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    • v.45 no.4
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    • pp.555-562
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    • 2022
  • Improving the mechanical properties of concrete in the construction industry in order to increase resistance to dynamic and static loads is one of the essential topics for researchers. In this work, vibration analysis of elastic nanocomposite beams reinforced by nanoparticles based on mathematical model is presented. For modelling of the strucuture, sinusoidal shear deformation beam theory (SSDBT) is utilized. Mori-anak model model is utilized for obtaining the effective properties of the strucuture including agglomeration influences. Utilizing the energy method and Hamilton's principal, the motion equations are calculated. The frequency of the elastic nanocomposite beam is obtanied by analytical method. The aim of this work is investigating the effects of nanoparticles volume percent and agglomeration, length and thickness of the beam on the frequency of the structure. The results show that the with enhancing the nanoparticles volume percent, the frequency is increased. In addition, the water absorption of the concrete is presented in this article.

Diversification, Industry Concentration, and Bank Margins: Empirical Evidence from an Emerging South Asian Economy

  • SARWAR, Bilal;MUHAMMAD, Noor;ZAMAN, Nadeem Uz
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.7
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    • pp.349-360
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    • 2020
  • The study aims to empirically examine the determinants of bank margins from Pakistan, an emerging South Asian economy. To elucidate the importance of the Pakistani banking sector, secondary data has been used, which was extracted from the annual accounts of twenty-four Pakistani scheduled commercial banks (20 conventional, four full-fledged Islamic) over a sample period of 2006 to 2017. The factors identified in the dealership model and the subsequent empirical developments in the dealership model categorized as bank-specific, diversification, regulatory, and industry concentration are analyzed by applying the most-common linear dynamic panel-data estimator, the Generalized Method of Moments (GMM) estimator, developed by Arellano and Bond (1991). The findings reveal that, among the bank-specific variables, funding cost, credit risk, managerial efficiency, market share, and operating cost are significant predictors of bank margins. For diversification variables employed in the study, both variables including net non-interest income and asset diversity are as well significant predictors of bank margins. It is also found that the market concentration variable proxied by the Herfindahl-Hirschman Index (HHI) is significantly predicting bank margins. Subsequently, one of the regulatory variables, the opportunity cost of holding reserves, and one bank-specific variable, the degree of risk aversion, are insignificant in the model.