Larbani, Moussa and Omar Mohamad, Mustafa (2011) Decision making tools for resource allocation based on Maqid Al- Sharah. Islamic Economic Studies, 19 (2). pp. 51-68. ISSN 1319-1616
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Abstract
The major focus of past literature on Al-Maqid 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), Al-Ghazali (1901), Al-Shatibi (n.d), Ibn ‘Ashur (1998) and Ibn Taymiyyah (al-Raysuni, 1992). Recently, the application of Al-Maqid 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 Al-Maqid to the discipline of economics in a broad theoretical framework. Dusuki (2005) went a step further relating Al-Maqid 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 Al-Maqid. The present study is taking Al-Maqid a step further. It develops a decision making tool based on Al-Maqid al-Sharah and their levels of Malaah 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-Maqid al-Sharah.
Item Type: | Article (Journal) |
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Additional Information: | 3917/35213 Please take note that the volume 19 No 2 of Economic studies journal was to be published in 2011, but it was finally published in 2013 only. Therefore, the publication year is 2013. |
Subjects: | H Social Sciences > HB Economic Theory > HB131 Methodology.Mathematical economics. Quantitative methods |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Economics and Management Sciences > Department of Business Administration |
Depositing User: | Professor Larbani Moussa |
Date Deposited: | 05 Feb 2014 14:11 |
Last Modified: | 19 Mar 2015 16:39 |
URI: | http://irep.iium.edu.my/id/eprint/35213 |
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