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The Impact of Generated Information on the Banks Efficiency: Strategic Planning as a Mediator: A Case Study on Al-Tadamon Islamic Bank in Sudan

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  • Osama Mohamed Ahmed Enad

    (Department of Business Administration, College of Sciences and Arts, Jouf University, KSA)

Abstract

The main objective of this study is to test the relationship among the generated information and bank's efficiency; the mediating impact of Strategic planning, the data have been collected from 60 employees and managers of Al-Tadamon Islamic Bank. The Questionnaire was used to collect the data; the overall response rate was 95%. Many statistic tools have been utilized, reliability test, exploratory factor analysis, correlation analysis and hierarchical regression to the goodness of measures and interrelationships. The outcomes revealed that generated information impact on the bank's efficiency, also strategic planning influence the bank's efficiency, besides the association between the generated information and Strategic planning

Suggested Citation

  • Osama Mohamed Ahmed Enad, 2019. "The Impact of Generated Information on the Banks Efficiency: Strategic Planning as a Mediator: A Case Study on Al-Tadamon Islamic Bank in Sudan," International Journal of Economics and Financial Issues, Econjournals, vol. 9(5), pages 130-134.
    • Handle: RePEc:eco:journ1:2019-05-17
    as

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    References listed on IDEAS

    as
    1. Chien-Ming Chen & Magali A. Delmas & Marvin B. Lieberman, 2015. "Production frontier methodologies and efficiency as a performance measure in strategic management research," Strategic Management Journal, Wiley Blackwell, vol. 36(1), pages 19-36, January.
    2. Adilson Carlos Yoshikuni & José Eduardo R. Favaretto & Alberto Luiz Albertin & Fernando de Souza Meirelles, 2018. "The Influences of Strategic Information Systems on the Relationship between Innovation and Organizational Performance," Brazilian Business Review, Fucape Business School, vol. 15(5), pages 444-459, September.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. Vishnevskiy, Konstantin & Karasev, Oleg & Meissner, Dirk, 2016. "Integrated roadmaps for strategic management and planning," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 153-166.
    5. Rudd, John M. & Greenley, Gordon E. & Beatson, Amanda T. & Lings, Ian N., 2008. "Strategic planning and performance: Extending the debate," Journal of Business Research, Elsevier, vol. 61(2), pages 99-108, February.
    6. Kao, Chiang, 2009. "Efficiency measurement for parallel production systems," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1107-1112, August.
    7. Chang, Wen-Long & Chen, Shih-Ting, 2015. "The impact of World Café on entrepreneurial strategic planning capability," Journal of Business Research, Elsevier, vol. 68(6), pages 1283-1290.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Generated Information; Banks Efficiency; Strategic Planning;
    All these keywords.

    JEL classification:

    • G2 - Financial Economics - - Financial Institutions and Services

    Statistics

    Access and download statistics

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