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Decision Making Tools for Resource Allocation Based on Maqasid Al- Sharaiah

Author

Listed:
  • LARBANI, MOUSSA

    () (International Islamic University Malaysia)

  • MOHAMMED, MUSTAFA OMAR

    () (International Islamic University Malaysia)

Abstract

The major focus of past literature on Al-Maq id was on developing the theory, and most of the discussion centered on its legal dimensions. The pioneering works emanated from scholars such as, Al-Juwayni (n.d), AlGhazali (1901), Al-Shatibi (n.d), Ibn ‘Ashur (1998) and Ibn Taymiyyah (alRaysuni, 1992). Recently, the application of Al-Maq id in various disciplines including economics and finance has been gaining prominence. Among the leading economists who have written on the subject, to mention a few are Chapra (1985; 2004), Siddiqi (2000), Ahmad (2000), Atya (2003), Hasan (2004) and Al-Najjar (2008). Their works however, relate AlMaq id to the discipline of economics in a broad theoretical framework. Dusuki (2005) went a step further relating Al-Maq id to Corporate Social Responsibility. Hameed et al. (2005) tried to develop what they termed as ‘Islamicity Disclosure Index’ to measure and compare the performances of two Islamic banks. A refined work by Mustafa et al. (2008) developed a quantitative performance measure for Islamic banking from the theory of AlMaqasid. The present study is taking Al-Maqasid a step further. It develops a decision making tool based on Al-Maqasid al-Shar ah and their levels of Ma la ah for the managers of firms to use in allocating their investible resources to vital sectors of the economy. The developed model can be extended to other decision making problems. Thus, this contribution opens a new direction of research: the analytic operationalization of Al-Maqasid alSharah.

Suggested Citation

  • Larbani, Moussa & Mohammed, Mustafa Omar, 2011. "Decision Making Tools for Resource Allocation Based on Maqasid Al- Sharaiah," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 19, pages 51-68.
  • Handle: RePEc:ris:isecst:0023
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