Harmonizing and constructing an integrated maqāṣid al-Sharīʿah index for measuring the performance of Islamic banks

Fahmi Ali Hudaefi (Department of Syariah and Management, Academy of Islamic Studies, University of Malaya, Kuala Lumpur, Malaysia)
Kamaruzaman Noordin (Department of Syariah and Management, Academy of Islamic Studies, University of Malaya, Kuala Lumpur, Malaysia)

ISRA International Journal of Islamic Finance

ISSN: 2289-4365

Article publication date: 1 October 2019

Issue publication date: 9 December 2019

7162

Abstract

Purpose

This paper aims to develop a performance measure for Islamic banks (IBs) by harmonizing related studies. Furthermore, this work uses the developed yardstick to analyze the performance of a sample of 11 IBs from across different countries.

Design/methodology/approach

This paper uses the mix-mode method. The qualitative approach is engaged first to construct the IBs performance yardstick. Following this, the quantitative approach is applied through the use of the performance yardstick to measure the sample’s performance.

Findings

This study develops a maqāṣid-based performance yardstick adapted from previous works. The developed model in this study is called an integrated maqāṣid al-Sharīʿah--based performance measure (IMSPM). By using this performance measure, the present paper finds that the sample performed highest on the objective of nafs (self) over the three-year period. In addition, this study identifies the information which best indicates the sample’s performance during the analysis.

Research limitations/implications

This paper uses the sample’s annual reports. The analysis is thus limited to informational disclosure.

Practical implications

Islamic banking and financial institutions may use the IMSPM to communicate a measurable report on their promotion of the maqāṣid al-Sharīʿah (objectives of Islamic law).

Social implications

The evidence from 11 IBs is indicative of their efforts to realize maqāṣid al-Sharīʿah in the banking industry. This point may best challenge the practice of stigmatizing IBs for not being in line with the Sharīʿah (Islamic law) or of imitating conventional banks.

Originality/value

The novelty of this study lies in two points. First, this study harmonizes previous works to integrate financial and religious measures in a single yardstick. Second, by using the developed standard, this study offers a fresh insight into the global IBs’ performance, represented by 11 IBs worldwide.

Keywords

Citation

Hudaefi, F.A. and Noordin, K. (2019), "Harmonizing and constructing an integrated maqāṣid al-Sharīʿah index for measuring the performance of Islamic banks", ISRA International Journal of Islamic Finance, Vol. 11 No. 2, pp. 282-302. https://doi.org/10.1108/IJIF-01-2018-0003

Publisher

:

Emerald Publishing Limited

Copyright © 2019, Fahmi Ali Hudaefi and Kamaruzaman Noordin.

License

Published in ISRA International Journal of Islamic Finance. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode


Introduction

The debate on how to correctly measure the performance of Islamic banks (IBs) has been proceeding for at least a decade. It began when some experts employed conventional yardsticks to compare the performance of IBs and conventional banks (CBs), which resulted in the claim that IBs are inferior to CBs in performance (Mohammed et al., 2008). The most beneficial outcome in employing conventional yardsticks to analyze banks’ performance is their strength in revealing financial circumstances. This result is important given that the banking industry is profit-oriented.

The main disadvantage of employing conventional benchmarks to measure IBs’ performance is that they fail to investigate Sharīʿah (Islamic law) facets (Muhammed and Md Taib, 2015). The rationale for the establishment of IBs is the promotion of equitable distribution of wealth (Khan, 1997), Sharīʿah ethics and values (Bedoui, 2012; Hudaefi and Bisyri, 2014; Bedoui and Mansour, 2015), religious business philosophy (Haniffa and Hudaib, 2007), Islamic moral economy (Asutay, 2012) and Islamic worldview (Laldin and Furqani, 2013). Thus, IBs are expected to bring maṣlaḥah (public interest) for human well-being. With this in mind, IBs’ performance should be measured by considering not only their financial aspects but also their religious features.

Former studies that attempted to develop IBs’ performance measure include the Islamicity disclosure index (IDI) and Islamic quantitative index (IQI) (Mohamed Ibrahim et al., 2004), ethical identity index (EII) (Haniffa and Hudaib, 2007), maqāṣid al-Sharīʿah index (MSI) (Mohammed et al., 2008), the adoption of Law of Sines on maqāṣid al-Sharīʿah-based performance measure (Bedoui, 2012; Bedoui and Mansour, 2015), social performance evaluation (Sairally, 2013; Asutay and Harningtyas, 2015), Islamicity measurement (Ascarya and Sukmana, 2016) and Sharīʿah compliance rating (Ashraf and Lahsasna, 2017; Hanif, 2018).

In this work, the authors attempt to harmonize the above studies to develop a yardstick which best measures both religious and financial performances. Following this, the benchmark is used to analyze the performance of the sampled 11 IBs. The purpose of doing so is to evaluate the performance of the IBs based on the comprehensive yardstick developed in this study, called an integrated maqāṣid al-Sharīʿah-based performance measure (IMSPM).

The importance and originality of this study lie in two aspects. First, this study synchronizes previous works to advance the existing IBs’ performance measure. Second, this work offers fresh evidence of the global IBs’ performance by using the developed yardstick. This work is relevant to academics, industry professionals and other related stakeholders in gaining reasonable insight on the extent to which IBs have been promoting maqāṣid al-Sharīʿah.

The remaining part of this paper is organized as follows: the second section elaborates the literature review. The third section discusses the research method used in developing the IBs’ performance yardstick. The fourth section discusses the results using the developed measure. The last section concludes the paper.

Literature review

Previous studies which have measured IBs’ performance can be classified into three categories. The first group comprises comparative works analyzing IBs and CBs with conventional yardsticks, such as CAMELS rating and other financial ratio benchmarks of profitability and efficiency.

The second group consists of mix-mode studies which have modified the measure of the “S” component in CAMELS, which is “sensitivity to market risk,” into “Sharīʿah” performance measurement[1]. However, the Sharīʿah benchmarks proposed within those studies have not clearly identified the subject matters. The third group includes theoretical and exploratory works, which usually begun with a qualitative approach to construct the yardsticks, followed by their use in analyzing the IBs’ performance.

Limitation of conventional yardstick in measuring Islamic banks’ performance

The CAMELS rating system is an internationally standardized approach (Muhmad and Hashim, 2015) that academic works have extensively employed to examine the financial condition of a bank. It refers to “Capital adequacy,” “Asset quality,” “Management quality,” “Earnings,” “Liquidity,” and “Sensitivity to market risk” (Koch and MacDonald, 2015). The efficacy of CAMELS as a standard benchmark has been proven in numerous studies (Nik Mohd Rashid et al., 2017).

In addition to CAMELS, other conventional benchmarks such as productivity and efficiency measures have been employed to compare IBs’ and CBs’ performances. For example, Samad (1999) examined the productive and managerial efficiency of Malaysian CBs and IBs using return on asset (ROA) and return on equity (ROE), respectively. He found that the sampled IBs were less efficient. Similarly, Yudistira (2004) measured technical, pure technical, and scale efficiency of 18 IBs. He found IBs to be less efficient. In addition, Hassan (2006) investigated the relative efficiency of IBs worldwide using conventional accounting measures. The findings supported both those of Samad (1999) and Yudistira (2004).

The studies that employ conventional benchmarks to compare IBs’ and CBs’ performance have problematic implications. This is because traditional yardsticks do not take into account the Sharīʿah-compliance aspect of IBs. Furthermore, those attempts might have worsened the social image of IBs. For example, they may supply ammunition for the portrayal of IBs as not being Islamic or of being imitative of CBs. Considering this, therefore, the performance of IBs should be correctly measured such that the yardsticks fit the nature of IBs. Consequently, the measurement should be based on the IBs’ foundations as captured in the maqāṣid al-Sharīʿah theory (Mohammed et al., 2008).

The rationale of developing Islamic banks’ performance yardsticks

The logic to developing tailor-made IB performance measures is best found by referring to Koch and MacDonald (2015), who state that evaluating banking performance should consider specific characteristics of the business, the intensity of competition and organizational and business structure. Additionally, the following facts may best support the reasons to do so:

  • First, conventional yardsticks do not consider the Sharīʿah aspect as they take into account only financial measures.

  • Second, (as it will be elaborated in the following sections), none of the previous developed yardsticks for measuring IBs performance have precisely represented both the financial and religious aspects that are specific characteristics of IBs.

Reviewing related works attempting at developing Islamic banks’ performance measure

The Islamicity Disclosure Index and Islamic Quantitative Index.

Mohamed Ibrahim et al. (2004) developed IDI and IQI to evaluate the performance of Bahrain Islamic Bank (BIB) and Bank Islam Malaysia Berhad (BIMB). IDI measures an IB’s ability to provide relevant information to their stakeholders. The indicators of IDI include Sharīʿah compliance, corporate governance, and environmental contribution.

Meanwhile, IQI evaluates zakat (almsgiving) performance, equitable distribution, director-employee welfare, Islamic and non-Islamic investment, and Islamic and non-Islamic income. Using the developed IQI and IDI, Mohamed Ibrahim et al. (2004) found that BIB outperformed BIMB on the provision of information to stakeholders. Even though this benchmark does not include financial performance measures, the original idea of IDI and IQI is deemed essential for consideration in developing IBs performance yardstick.

The Ethical Identity Index.

Haniffa and Hudaib (2007) established the EII to investigate the performance of IBs in the Arabian Gulf region. EII compares the ideal identity of an IB and its real identity as reflected in annual reports.

Haniffa and Hudaib (2007) identified five themes of IBs’ ideal ethical identity, with eight dimensions and 78 constructs. The study adopted a checklist method to evaluate the data from annual reports. A high EII implies that the actual performance of the IBs compares well with the ideal benchmark. Meanwhile, a low EII indicates that the IBs should improve their communication in their annual reports for competitive advantage purposes. Applying this methodology, they found that the Bahrain Islamic Bank (BIB) outperformed another six samples.

While EII was considerably adapted from the capitalistic context and Western influence, Sharīʿah was less specifically discussed during its construction (Haniffa and Hudaib, 2007). Even so, this paper shall consider EII due to the novelty of its contribution.

Crediting maqāṣid al-Sharīʿah theory when developing Islamic banks’ performance yardstick.

Maqāṣid al-Sharīʿah acts as the basis for determining whether particular IBs are practicing Islamic principles (Dusuki and Bouheraoua, 2011). Hence, an understanding of the subject matter is required.

Auda (2011) synchronized jurists’[2] views on maqāṣid al-Sharīʿah. The term is understood to refer to the objectives, purposes, intents ends and principles behind Islamic rulings. It includes the wisdom behind the texts and provides criteria for judging the appropriateness of juridical analogy. It forms the basis for juridical preference, the premise behind the presumption of continuity principle, and a large number of other tools for ijtihād (juristic efforts to obtain Islamic rulings). Further, Auda (2008) identified the authentic interpretations of Muslim scholars on maqāṣid al-Sharīʿah. These include al-Juwayni’s (d.478 AH/1085 CE) “public needs”, al-Ghazālī’s (d.505 AH/1111 CE) “order of necessities”, al-‘Izz’s (d.660 AH/1209 CE) “wisdom behind the rules”, al-Qarāfī’s (d.684 AH/1285 CE) “classification of prophetic actions”, Ibn Qayyim’s (d. 748 AH/1347 CE) “what Sharīʿah is all about” and al-Shātībī’s (d. 790 AH/1388 CE) “maqāṣid as fundamentals”.

Maqāṣid al-Sharīʿah theory of recent scholars.

It is critical to refer to a new explanation of maqāṣid al-Sharīʿah adapted to the present context (Hudaefi and Heryani, 2019), notably when developing IBs’ performance measure. In this regard, the study of Chapra (2007) is compatible with the subject matter. He referred to al-Ghazālī, al-Shātībī, and Fakhr al-Dīn al-Rāzi to explain his symbiotic maqāṣid al-Sharīʿah. He mentioned that the five objectives – faith, self, intellect, posterity and wealth – are interdependent and support each other in realizing human well-being (Chapra, 2007).

Chapra (2007) mainly elaborated maqāṣid al-Sharīʿah with reference to the recent case of human development. Even though his work does not explicitly relate to the context of IBs, the authors of this paper found some relevant information which best relates to the topic in the present discussion.

Reviewing related works which developed a maqāṣid-based performance measure

The study of the maqāṣid al-Sharīʿah index.

The innovative research of Mohammed et al. (2008) pioneered a new approach in measuring IBs’ performance derived from the maqāṣid al-Sharīʿah theory. The study derived numerable items from the theory. Their developed yardstick is called maqāṣid al-Sharīʿah index (MSI).

The study traverses three stages in its development of the MSI. First, they referred to Abū Zahrah’s theory of maqāṣid al-Sharīʿah and employed Sekaran and Bougie's (2003) concept of operationalization to translate the theory. This stage resulted in the performance ratio measures. Second, they appointed 16 experts to weigh the developed MSI. This resulted in the weights for the established variables. Third, they adopted Hwang and Yoon's (1981) method of Simple Additive Weighting (SAW). This stage was conducted to quantify the performance ratios of the samples and the weights assigned to the three objectives along with the developed variables. The findings indicate that the Islamic International Arab Bank of Jordan outperformed the other five samples.

The MSI does not cover the conventional profitability and efficiency measures, which are important for investigating a bank’s financial performance. Even so, the current study adopts the MSI as the primary reference given its substantial impact on the related literature.

From reviewing the above, one may understand that conventional measures have failed to investigate Sharīʿah aspects of IBs, while the yardsticks developed by the related scholarly articles have ignored the traditional benchmarks which are critical for a financial measure. As such, this study attempts to harmonize the related works to develop a new benchmark covering both religious and financial aspects for measuring IBs’ performance. Subsequently, the established parameters will be used to analyze the performance of the 11 IBs located worldwide.

Research methodology

Qualitative approach

This study used first the qualitative approach to harmonize previous works to construct the IBs’ performance measure based on maqāṣid al-Sharīʿah. In doing so, this study followed Mohammed et al. (2008) in using Sekaran and Bougie (2003) concept of operationalization. The benefit of this concept is that it enables the decoding of abstract ideas into measurable criteria. The operationalization method is not meant to see the correlation, reasons, consequences or antecedents; instead, it describes its observable characteristics for measurement purposes (Sekaran and Bougie, 2003).

The operationalization concept can be understood through the abstract idea of thirst (C). To measure “thirst,” one may break it down into “drinking water,” which then is called dimension (D). The “drinking water” is then further detailed into “number of glasses,” which is called element (E). Hence, the concept of “thirst” is measurable through “drinking of water” calculable with “the number of glasses” to drink (Sekaran and Bougie, 2003). Figure 1 illustrates this concept.

In this study, the abstract concept “C” applies to maqāṣid al-Sharīʿah as explained by Chapra (2007). “D” represents the dimensions for objectives of Sharīʿah. Element “E” comprises the indicators of the Sharīʿah objectives, along with the developed performance ratios (PRs) adapted from the relevant studies.

Table I shows the IMSPM which was established in this study. In IMSPM, the study of Sharīʿah auditing (Khan, 1997), alternative informational disclosure (Mohamed Ibrahim et al., 2004), ideal ethics benchmark (Haniffa and Hudaib, 2007), maqāṣid-based performance measure (Mohammed et al., 2008; Asutay and Harningtyas, 2015; Mohammed et al., 2015) and conventional finance benchmark (Jaffar and Manarvi, 2011) were harmonized. To some degree, the IMSPM may further advance the benchmark for measuring IBs’ performance.

Assigning weight in the developed IMSPM

To quantify the qualitative IMSPM as in Table I, the authors used simple additive weighting (SAW), referring to Mohammed et al. (2008). SAW is one solution method in multiple attribute decision-making (MADM). A weighted sum of performance ratings is determined for each developed qualitative variable (Fishburn, 1967 cited in Darmastuti, 2013).

SAW is a value function established based on a simple addition of scores, and it represents the goal under each criterion multiplied by the particular weights (Qin et al., 2008, cited in Velasquez and Hester, 2013). The weights are then multiplied by the corresponding attribute values for each alternative and then summed up across alternatives (MacCrimmon, 1968). Therefore, it is necessary to assign the weights firstly into the developed IMSPM to determine the coefficient of the variables (Hwang and Yoon, 1981). MacCrimmon (1968) explained how to find a reasonable basis when assigning the weights. In this study, the weights are assigned equally adopting the concept of balance, as stated in Sūrah al-Baqarah (Qurʾān 2:143). Thus, the weights assigned to the developed IMSPM shall be as delineated in Table II.

Quantitative analysis

Sample and data set.

The population for the current quantitative analysis is IBs in the world. Using the logic of purposive judgment sampling method, this paper selected a sample of 11 IBs as noted in Table III and considered the data published in their annual reports over three years from 2013 to 2015.

Data analysis.

This paper referred to Mohammed et al. (2008) to develop the IMSPM equations derived from the SAW approach as follows:

Equation (1): Performance Indicator for Objective Faith (Dīn) (PI01)

PI(O1)=W11×E11×R11+W11×E12×R12
or,
PI(O1)=W11(E11×R11+E12×R12)
where:

(O1) = the first of the maqāṣid al-Sharīʿah, which is faith (dīn);

W11 = the weight assigned to (O1) (see Table II);

E11 = the weight assigned to the first element of (O1) (see Table II);

E12 = the weight assigned to the second element of (O1) (see Table II);

R11 = the evaluation for the performance ratio corresponding to E11 of (O1) (as applied in Table I); and

R12 = the evaluation for the performance ratio corresponding to E12 of (O1) (as applied in Table I).

Furthermore,

(1.1) PI(01)=PI11+PI12
where:
(1.2) PI11=W11×E11×R11
(1.3) PI12=W11×E12×R12

Equation (2): Performance Indicator for Objective Self (Nafs) (PI02)

PI(O2)=W12×E23×R23+W22×E24×R24+W22×E25×R25+W22×E26×R26

Or,

PI(O2)=W22(E23×R23+E24×R24+E25×R25+E26×R26)
where:

(O2) = the second of the maqāṣid al-Sharīʿah, which is self (nafs):

W22 = the weight assigned to (O2) (Table II);

E23 = the weight assigned to the first element of (O2) (Table II);

E24 = the weight assigned to the second element of (O2) (Table II);

E25 = the weight assigned to the third element of (O2) (Table II);

E26 = the weight assigned to the fourth element of (O2) (Table II);

R23 = the evaluation for the performance ratio corresponding to E23 of (O2) (as applied in Table I);

R24 = the evaluation for the performance ratio corresponding to E24 of (O2) (as applied in Table I);

R25 = the evaluation for the performance ratio corresponding to E25 of (O2) (as applied in Table I); and

R26 = the evaluation for the performance ratio corresponding to E26 of (O2) (as applied in Table I).

Furthermore,

(2.1) PI(02)=PI21+PI22+PI23+PI24
where:
(2.2) PI21=W22×E23×R23
(2.3) PI22=W22×E24×R24
(2.4) PI23=W22×E25×R25
(2.5) PI24=W22×E26×R26

Equation (3): Performance Indicator for Objective Intellect (ʿAql) (PI03)

PI(O3)=W33×E37×R37+W33×E38×R38
or,
PI(O3)=W33(E37×R37+E38×R38)
where:

(O3) = the third of the maqāṣid al-Sharīʿah, which is intellect (ʿaql),

W33 = the weight assigned to (O3) (Table II);

E37 = the weight assigned to the first element of (O3) (Table II);

E38 = the weight assigned to the second element of (O3) (Table II);

R37 = the evaluation for the performance ratio corresponding to E37 of (O3) (as applied in Table I); and

R38 = the evaluation for the performance ratio corresponding to E38 of (O3) (as applied in Table I).

Furthermore,

(3.1) PI(03)=PI31+PI32
where:
(3.2) PI31=W33×E37×R37
(3.3) PI32=W33×E38×R38

Equation (4): Performance Indicator for Objective Posterity (Nasl) (PI04)

PI(O4)=W44×E49×R49+W44×E410×R410
or,
PI(O4)=W44(E49×R49+E410×R410)
where:

(O4) = the fourth of the maqāṣid al-Sharīʿah, which is posterity (nasl);

W44 = the weight assigned to (O4) (Table II);

E49 = the weight assigned to the first element of (O4) (Table II);

E410 = the weight assigned to the second element of (O4) (Table II);

R49 = the evaluation for the performance ratio corresponding to E49 of (O4) (as applied in Table I); and

R410 = the evaluation for the performance ratio corresponding to E410 of (O4) (as applied in Table I).

Furthermore,

(4.1) PI(04)=PI41+PI42
where:
(4.2) PI41=W44×E49×R49
(4.3) PI42=W44×E410×R410

Equation (5): Performance Indicator for Objective Wealth (Māl) (PI05)

PI(O5)=W55×E511×R511+W55×E512×R512+W55×E513×R513+W55×E514×R514+W55×E515×R515+W55×E516×R516+W55×E517×R517+W55×E518×R518
or,
PI(O5)=W55(E511×R511+E512×R512+E513×R513+E514×R514+E515×R515+E516×R516+E517×R517+E518×R518)
where:

(O5) = the fifth of the maqāṣid al-Sharīʿah, which is wealth (māl);

W55 = the weight assigned to (O5) (Table II);

E511 = the weight assigned to the first element of (O5) (Table II);

E512 = the weight assigned to the second element of (O5) (Table II);

E513 = the weight assigned to the third element of (O5) (Table II);

E514 = the weight assigned to the fourth element of (O5) (Table II);

E515 = the weight assigned to the fifth element of (O5) (Table II);

E516 = the weight assigned to the sixth element of (O5) (Table II),

E517 = the weight assigned to the seventh element of (O5) ( Table II);

E518 = the weight assigned to the eighth element of (O5) ( Table II);

R511 = the evaluation for the performance ratio corresponding to E511 of (O5) (as applied in Table I);

R512 = the evaluation for the performance ratio corresponding to E512 of (O5) (as applied in Table I);

R513 = the evaluation for the performance ratio corresponding to E513 of (O5) (as applied in Table I);

R514 = the evaluation for the performance ratio corresponding to E514 of (O5) (as applied in Table I);

R515 = the evaluation for the performance ratio corresponding to E515 of (O5) (as applied in Table I);

R516 = the evaluation for the performance ratio corresponding to E516 of (O5) (as applied in Table I);

R517 = the evaluation for the performance ratio corresponding to E517 of (O5) (as applied in Table I); and

R518 = the evaluation for the performance ratio corresponding to E518 of (O5) (as applied in Table I).

Furthermore,

(5.1) PI(05)=PI51+PI52+PI53+PI54+PI55+PI56+PI57+PI58
where:
(5.2) PI51=W55×E511×R511
(5.3) PI52=W55×E512×R512
(5.4) PI53=W55×E513×R513
(5.5) PI54=W55×E514×R514
(5.6) PI55=W55×E515×R515
(5.7) PI56=W55×E516×R516
(5.8) PI57=W55×E517×R517
(5.9) PI58=W55×E518×R518

Equation (6): Overall Integrated Maqāṣid al-Sharīʿah-based Performance (IMSPM)

(6.1) IMSPM=PI(O1)+PI(O2)+PI(O3)+PI(O4)+PI(05)

Results

The sample’s performance ratios (PRs) as applied in IMSPM analysis (Table I) was computed first. Following this, the above equations were employed to multiply the sample’s PRs with the weights assigned to the developed variables (as in Table II). The computation was carried out in Microsoft Excel for accuracy and practicability reasons. The result of the present IMSPM analysis is as provided in Table IV.

As shown in Table IV, the value 0 (zero) within some columns means the sample did not provide the information as required in the first IMSPM analysis. In this respect, the sample which provided complete data for the first step analysis was BSM, while the sample with the least provided data was UK-RYB. Due to this limitation, this paper conducted a one-sample Kolmogorov–Smirnov test using IBM SPSS (Statistical Package for the Social Sciences) version 20.0 and selected significance level of 0.05. The test involved each sample’s three-year mean PR. The result indicated a Kolmogorov–Smirnov result of 0.793. Thus, the data were normally distributed.

Further, Table IV shows the results of the individual and general performance of the sample. The individual performance of the sample can be seen in the 3-year mean IMSPM column. It is evident that the range of the three-year mean IMSPM was between 0.139 and 0.995. This means that BSM and UK-RYB performed 90 (highest) and 14 per cent (lowest) on the indicators of IMSPM analysis, respectively.

Meanwhile, the general performance of the sample can refer to the overall mean PI (performance indicator) and total PI columns. The overall mean PI represents the sum of the sample’s 3-year mean of each PI. The total PI presents the sum of the sample’s PI. The highest overall mean PI was for the objective of self (1.718), followed by faith (1.007), wealth (0.530), posterity (0.084) and intellect (0.020). This inferred that the overall sample performed highest on the objective of self (nafs) in the present IMSPM analysis over the three years.

Further qualitative validation

The objective of faith (dīn).

The sample which recorded the highest proportion for this objective is IBB with a three-year mean of 0.232. This achievement of IBB might be portrayed from Bangladeshi’s commitment to state-level initiatives towards IBs’ establishment. According to Mannan (2016):

[…] On 4 April 1981, Ministry of Finance issued a letter to Bangladeshi banks, directing all state-owned banks of the country, to open separate Islamic banking counters in all their branches in towns and villages and to keep separate ledgers for them […] (p. 14).

The objective of self (nafs).

The sample which recorded highest for this objective is BSM with its three-year mean of 0.819. This realization of BSM might be perused within its Sharīʿah committee’s commitment to continuously upgrading the quality of Sharīʿah compliance. Quoting Prof. Dr. H. Komaruddin Hidayat, Chairman of the Sharia Supervisory Board:

Sharīʿah advisory council provides guidance and reinforcement of “Contracts and Products of Islamic Banking” to the staffs at the branches by conducting “Sharīʿah Clinic Forum”, to answer the complaints and hear the recommendation to fix further and upgrade the quality of Sharīʿah-compliance aspect […] (PT Bank Syariah Mandiri, 2015, p. 37).

The objective of intellect (ʿaql).

The sample which recorded highest for this objective is again BSM with a three-year mean of 0.008. This achievement might be portrayed in its 2014 annual report slogan “Strengthening the Foundation, Growing Sustainably”. According to its annual report (2014):

A robust firm does not look at a material benefit in a short period. A firm, as a business community, has perpetual responsibility in addition to maintaining the growth of profit balance[…] BSM has a certain direction to becoming a firm which strongly commits on sustainable growth[…] (p. 1).

The objective of posterity (nasl).

The sample which made the highest contribution for this objective is QIIB with a three-year mean of 0.019, followed by SHIB with 0.018. The achievement of QIIB might be a result of the commitment of both the Government and the Qatari people in supporting Islamic banking. Citing Al-Thani (2015):

[…] QIIB was able to achieve significant increase and growth in its various banking activities over the past year which was reflected in the positive reaction of clients and shareholders as well as their confidence in the bank’s ability, status and strong financial position (p. 21).

The objective of wealth (māl).

The sample which registered highest under this objective is MB with a three-year mean of 0.166 followed by ATPB with a three-year mean of 0.100. The achievement of MB may best be explained from the following quote:

[…] Meezan Bank has always had a calling higher than that of achieving business success: to spearhead the spread of Islamic banking in the country, living up to its vision statement of establishing “Islamic banking as banking of the first choice.” The success of Meezan Bank in the industry, evidenced by its classification amongst the top ten banks of the country, has paved the way for other Islamic banks to grow […] (Meezan Bank, 2015).

Discussion of results

This paper has engaged firstly a qualitative approach to establish IMSPM. By further employing the benchmark, the present work has analyzed the performance of a sample of 11 banks. The results, as described in the above section, did not provide any evidence to assert that one particular IB is better than the other IBs, or, one sampled IB is more Islamic than the other sampled IBs.

Even though BSM was found to perform highest in the individual performance with the three-year mean IMSPM of 0.99, this finding suggests that BSM provided enough information as required during the IMSPM analysis. This interpretation disproves that of the previous studies of Antonio et al. (2012), Ascarya and Sukmana (2016) and Saoqi (2017), who claimed that one particular bank they studied was better than other sampled banks, and one specific bank in a country was more Islamic than the sampled IBs of other countries.

The sample’s highest overall performance on IMSPM was with regard to the objective of self (nafs). This finding is best interpreted as providing insight into the sample’s achievement in promoting maqāṣid al-Sharīʿah in the banking sector. The authors do not interpret this as the IB sector falling short with regard to maqāṣid al-Sharīʿah as did Asutay and Harningtyas (2015). A possible explanation for this different interpretation is the fact that all the sampled banks did not disclose the information needed for the analysis. In addition, the nature of the concept of operationalization, which grounds the establishment of IMSPM, is not meant to see the correlation, reasons, consequences or antecedents (Sekaran and Bougie, 2003); thus, this best provides the rationale to interpret the results in this way.

Conclusion

The current study set out to develop a model for measuring IBs’ performance based on scholarly works. The paper established the IMSPM, which measures both religious and financial aspects of IBs. By further using the IMSPM, the paper analyzes the performance of a sample of 11 banks worldwide. The overall sample performed highest on the objective of self (nafs) in the three-year selected period. To some degree, this evidence can best challenge the issue of IBs not being in line with the Sharīʿah.

This paper contributes in several ways to our understanding of the appropriate benchmark for measuring IBs’ performance and provides a basis for interpreting the results of IBs’ performance using IMSPM. An implication from these findings is that both financial and religious measures should be taken into account when analyzing an IB’s performance. The Islamic banking industry may employ the IMSPM to communicate the maqāṣid al-Sharīʿah performance in their reports for business and Sharīʿah-compliance advantages. In addition, future studies may employ the IMSPM to measure the recent performance of Islamic financial institutions, so that more evidence indicating their positions in promoting maqāṣid al-Sharīʿah in the financial industry is further supported by scholarly discussion.

Figures

The concept of operationalization

Figure 1.

The concept of operationalization

Integrated maqāṣid al-Sharīʿah-based performance measure (IMSPM)

Concept (C) Dimensions (D) Referred studies Elements (E) Performance ratios (PR) Referred studies
Maqāṣid al-Sharīʿah promoted by M. Umer Chapra (2007) Faith (dīn) D1. Non-negative elements Mohammed et al. (2008) in Asutay and Harningtyas (2015) E1. Interest-free products R1. Interest-free income/Total income Mohammed et al. (2008)
D2. Creating awareness of Islamic banking E2. Publicity R2. Publicity expense/Total expense
Self (nafs) D3. Justice Chapra (2007) E3. Charity R3. Charity gained/Total charity distributed Mohamed Ibrahim et al. (2004), Chapra (2007)
E4. Employee welfare R4. Employees’ expenses/Total income
D4. Removal of poverty E5. Zakat fund R5. Zakat paid/Net assets
D5. Job opportunities Haniffa and Hudaib (2007) E6. Total no. of branches R6. Total no. of branches this year/ Total no. of branches in the previous year Mohammed et al. (2015)
Intellect (ʿaql) D6. Education Chapra (2007), Mohammed et al. (2008) E7. Education grant R7. Education grant/Total income Mohammed et al. (2008)
D7. Research E8. Research expense R8. Research expense/Total income
Posterity (nasl) D8. Health environment Chapra (2007) E9. Agricultural financing R9. Bayʿ al-salam (agriculture) financing/Total financing Mohammed et al. (2015)
D9. Moral development E10. Training R10. Training expense/Total expenses Mohammed et al. (2008)
Wealth (māl) D10. Affordable products and services Mohammed, Abdul Razak, and Md Taib (2008) E11. Non-performing financing (loan) (NPF(L)) R11. NPF(L)/Total investment (financing) Mohammed et al. (2008)
D11. Profit sharing ratios Khan (1997), Mohamed Ibrahim et al. (2004) E12. Muḍārabah financing R12. Muḍārabah financing/Total financing Mohamed Ibrahim et al. (2004), Mohammed et al. (2015)
E13. Mushārakah financing R13. Mushārakah financing/Total financing
D12. Restructured financing Haniffa and Hudaib (2007), Mohammed et al. (2008) E14. Restructured muḍārabah financing R14. Total restructured muḍārabah financing/Total restructured financing Authors’ Recommendation
E15. Restructured mushārakah financing R15. Total restructured mushārakah financing/Total restructured financing
D13. Earning ability Khan (1997); the CAMELS rating system E16. Return on Asset (ROA) R16. Net income/Total asset Jaffar and Manarvi (2011) in Asutay and Harningtyas (2015)
E17. Return on Equity (ROE) R17. Net income/Total equities
D14. Management quality E18. Operational efficiency R18. Operating expenses/Operating revenue

Source: Adapted from related studies

Assigned weights in IMSPM based on the concept of balance

Maqāṣid al-Sharīʿah promoted by Chapra (2007) Average weight (Out of 100%) Elements Average weight
(Out of 100%)
Faith (dīn) 0.20 E1. Interest-free products 0.50
E2. Publicity 0.50
Total 100%
Self (nafs) 0.20 E3. Charity 0.25
E4. Employee welfare 0.25
E5. Zakat fund 0.25
E6. Total no. of branches 0.25
Total 100%
Intellect (ʿaql) 0.20 E7. Education grants 0.50
E8. Research expenditure 0.50
Total 100%
Posterity (nasl) 0.20 E9. Agricultural financing 0.50
E10. Training 0.50
Total 100%
Wealth (māl) 0.20 E11. Non-performing financing (loan) 0.125
E12. Muḍārabah financing 0.125
E13. Mushārakah financing 0.125
E14. Restructured muḍārabah financing 0.125
E15. Restructured mushārakah financing 0.125
E16. Return on Asset (ROA) 0.125
E17. Return on Equity (ROE) 0.125
E18. Operational efficiency 0.125
Total 100% Total 100%

Source: Adapted from Mohammed et al. (2008)

Sample of the study

Representative IBs
Continent/Regions Country Name of IB Abbreviation IB’s website
Middle East Bahrain Bahrain Islamic Bank BISB www.bisb.com
Qatar Qatar International Islamic Bank QIIB www.qiib.com.qa
Saudi Arabia AlRajhi Bank ARB www.alrajhibank.com.sa
South and Southeast Asia Bangladesh Islami Bank Bangladesh IBB www.islamibankbd.com
Indonesia Bank Syariah Mandiri BSM www.syariahmandiri.co.id
Malaysia Bank Islam Malaysia Berhad BIMB www.bankislam.com.my
Pakistan Meezan Bank MB www.meezanbank.com
Africa Egypt Faisal Islamic Bank of Egypt FIBE www.faisalbank.com.eg
Sudan Al Shamal Islamic Bank SHIB www.shib.sd
Others Turkey Albaraka Türk Participation Bank ATPB www.albaraka.com.tr
UK Al Rayan Bank UK-RYB www.alrayanbank.co.uk

Source: Authors’ own

Results of the sample’s performance analyzed using IMSPM

Country Saudi Arabia Turkey Malaysia Bahrain Indonesia Egypt Bangladesh Pakistan Qatar Sudan United Kingdom Total PI Overall Mean PI
Samples ARB ATPB BIMB BISB BSM FIBE IBB MB QIIB SHIB UK-RYB
Examined year 2013 2014 2015 2013 2014 2015 2013 2014 2015 2013 2014 2015 2013 2014 2015 2013 2014 2015 2013 2014 2015 2013 2014 2015 2013 2014 2015 2013 2014 2015 2013 2014 2015
Faith (Dīn) (PIO1)
PI11 0.068 0.072 0.072 0.078 0.065 0.061 0.083 0.086 0.087 0.088 0.073 0.089 0.082 0.085 0.086 0.043 0.044 0.044 0.190 0.179 0.171 0.035 0.038 0.038 0.091 0.092 0.091 0.073 0.068 0.063 0.091 0.098 0.098 3.022 1.007
PI12 0 0 0 0.001 0.002 0.002 0.025 0.019 0.020 0.009 0.005 0.008 0.007 0.005 0.005 0 0.005 0.005 0.055 0.050 0.052 0.001 0.002 0.002 0.004 0.005 0.003 0.002 0.005 0.003 0 0 0
PI(O1) 0.068 0.072 0.072 0.079 0.067 0.063 0.108 0.105 0.106 0.097 0.078 0.097 0.089 0.089 0.091 0.043 0.049 0.049 0.245 0.229 0.223 0.036 0.041 0.040 0.095 0.097 0.094 0.075 0.073 0.066 0.091 0.098 0.098
Total PI (O1) 0.213 0.209 0.319 0.272 0.270 0.141 0.696 0.117 0.285 0.214 0.287
3-year Mean (O1) 0.071 0.070 0.106 0.091 0.090 0.047 0.232 0.039 0.095 0.071 0.096
Self (Nafs) (PIO2)
PI21 0 0 0 0 0 0 0.104 0.171 0.052 0.017 0.036 0.105 0.001 0.782 0.665 0 0.050 0.050 0 0 0.000 0.076 0.058 0.061 0.001 0.001 0.001 0.001 0.001 0.001 0.004 0.004 0.003 5.155 1.718
PI22 0.017 0.018 0.020 0.022 0.018 0.027 0.039 0.039 0.039 0.014 0.027 0.024 0.286 0.212 0.173 0.032 0.029 0.030 0.001 0.001 0.001 0.007 0.007 0.008 0.005 0.005 0.005 0.015 0.016 0.017 0.021 0.021 0.021
PI23 0 0 0 0 0 0 0.001 0.000 0.001 0.010 0.001 0.002 0.042 0.070 0.069 0.000 0.000 0.000 0.000 0.0005 0.000 0.00001 0.00001 0.00001 0 0 0 0.000 0.004 0.002 0 0 0
PI24 0.051 0.052 0.052 0.061 0.060 0.053 0.052 0.053 0.051 0.058 0.037 0.045 0.056 0.051 0.050 0 0.053 0.052 0 0.051 0.052 0.057 0.061 0.064 0.050 0.056 0.056 0.050 0.050 0.055 0 0 0
PI(O2) 0.069 0.071 0.072 0.082 0.078 0.080 0.197 0.263 0.143 0.098 0.100 0.176 0.384 1.114 0.957 0.032 0.133 0.132 0.002 0.053 0.053 0.140 0.126 0.134 0.056 0.063 0.062 0.066 0.071 0.075 0.025 0.025 0.024
Total PI (O2) 0.211 0.240 0.603 0.374 2.456 0.296 0.107 0.400 0.181 0.212 0.075
3-year mean (O2) 0.070 0.080 0.201 0.125 0.819 0.099 0.036 0.133 0.060 0.071 0.025
Intellect (‘Aql) (PIO3)
PI31 0 0 0 0.002 0.001 0.001 0.001 0.002 0.003 0.0004 0.0004 0 0.002 0.017 0.001 0 0.002 0.009 0.0001 0.0001 0.0001 0.0003 0.0002 0.0001 0.00003 0.0001 0.000005 0.000 0.001 0.000 0 0 0 0.060 0.020
PI32 0 0 0 0 0 0 0.0002 0.0002 0.0002 0 0 0 0.001 0.001 0.001 0 0 0 0 0 0.0005 0.0002 0.0002 0.0002 0 0 0 0.004 0.005 0.003 0 0 0
PI(O3) 0 0 0 0.002 0.0008 0.0005 0.002 0.002 0.003 0.0004 0.0004 0 0.003 0.018 0.002 0 0.002 0.009 0.0001 0 0.0006 0.0004 0.0004 0.0003 0.00003 0.00009 0.000005 0.004 0.006 0.004 0 0 0
Total PI (O3) 0 0.003 0.007 0.0008 0.023 0.011 0.0008 0.001 0.0001 0.013 0
3-year mean (O3) 0 0.001 0.002 0.000 0.008 0.004 0.0003 0.000 0.00004 0.004 0
Posterity (Nasl) (PIO4)
PI41 0.0005 0.0003 0.0003 0.001 0.001 0.001 0.001 0.001 0.001 0 0 0 0.001 0.001 0.009 0 0 0 0.001 0.001 0.001 0.011 0.012 0.016 0 0 0 0.016 0.016 0.014 0 0 0 0.252 0.084
PI42 0 0 0 0 0 0 0.006 0.006 0.008 0.003 0.005 0.003 0.004 0.002 0.004 0 0.014 0.014 0.003 0.003 0.005 0.0002 0.0002 0.0001 0.021 0.016 0.021 0.002 0.004 0.002 0 0 0
PI(O4) 0.0005 0.0003 0.0003 0.001 0.001 0.001 0.007 0.008 0.009 0.003 0.005 0.003 0.005 0.003 0.013 0.000 0.014 0.014 0.004 0.004 0.006 0.011 0.013 0.016 0.021 0.016 0.021 0.018 0.020 0.016 0 0 0
Total PI (O4) 0.001 0.003 0.024 0.010 0.021 0.028 0.014 0.039 0.057 0.054 0
3-year mean (O4) 0.0004 0.001 0.008 0.003 0.007 0.009 0.005 0.013 0.019 0.018 0
Wealth (Māl) (PIO5)
PI51 0.0004 0.0003 0.0004 0.001 0.001 0.001 0.0003 0.0003 0.0003 0.005 0.003 0.002 0.001 0.001 0.001 0.001 0.001 0.001 0 0 0 0.090 0.095 0.083 0.0003 0.0002 0.0004 0.00002 0.000002 0.00001 0 0 0 1.589 0.530
PI52 0.002 0.002 0.002 0 0 0 0 0 0 0 0 0 0.009 0.007 0.005 0.003 0.001 0.001 0.001 0.0002 0.0003 0.007 0.006 0.008 0.0003 0.0002 0.0004 0 0 0 0 0 0
PI53 0 0 0 0 0 0 0 0 0 0.005 0.005 0.004 0.016 0.018 0.020 0 0 0 0.000 0.00003 0.00002 0.002 0.004 0.006 0.00004 0.00001 0.000005 0 0 0.004 0 0 0
PI54 0.015 0.017 0.013 0.107 0.074 0.058 0.013 0.052 0.038 0 0 0 0.010 0.008 0.004 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
PI55 0 0 0 0 0 0 0 0 0 0.006 0.007 0.015 0.015 0.017 0.021 0 0 0 0 0 0 0.005 0.126 0.030 0 0 0 0 0 0 0 0 0
PI56 0.001 0.001 0.001 0.004 0.003 0.003 0.004 0.004 0.004 0.001 0.001 0.002 0.004 −0.001 0.014 0.001 0.001 0.001 0.002 0.002 0.001 0.0003 0.0003 0.0003 0.001 0.001 0.001 0.000 0.002 0.002 0.000 0.000 0.001
PI57 0.001 0.001 0.001 0.004 0.004 0.004 0.004 0.005 0.005 0.001 0.002 0.001 0.004 −0.024 0.015 0.001 0.001 0.001 0.000 0.002 0.002 0.001 0.001 0.001 0.001 0.001 0.001 0.004 0.005 0.004 0.004 0.003 0.005
PI58 0.012 0.012 0.012 0.011 0.013 0.014 0.009 0.008 0.008 0.007 0.013 0.013 0.017 0.019 0.017 0.006 0.007 0.007 0.011 0.012 0.006 0.011 0.011 0.013 0.005 0.006 0.007 0.020 0.017 0.021 0.001 0.024 0.018
PI(O5) 0.030 0.032 0.028 0.127 0.094 0.079 0.031 0.069 0.056 0.025 0.031 0.039 0.075 0.045 0.097 0.011 0.010 0.010 0.015 0.016 0.009 0.116 0.243 0.140 0.008 0.008 0.009 0.024 0.024 0.031 0.006 0.027 0.023
Total PI (O5) 0.091 0.301 0.156 0.094 0.217 0.032 0.040 0.499 0.026 0.079 0.056
3-year mean (O5) 0.030 0.100 0.052 0.031 0.072 0.011 0.013 0.166 0.009 0.026 0.019
IMSPM 0.168 0.175 0.172 0.292 0.241 0.223 0.344 0.447 0.318 0.222 0.214 0.314 0.557 1.270 1.159 0.086 0.208 0.214 0.265 0.302 0.291 0.304 0.422 0.330 0.180 0.184 0.186 0.188 0.193 0.191 0.122 0.151 0.145 10.08 3.359
Total IMSPM 0.515 0.756 1.109 0.751 2.986 0.508 0.858 1.056 0.549 0.572 0.418
3-year mean IMSPM 0.172 0.252 0.370 0.250 0.995 0.169 0.286 0.352 0.183 0.191 0.139

Source: Computed by authors

Notes

1.

For example, Muljawan (2005) adjusted financial ratios measures in CAMELS rating to be compatible with IBs nature. Nevertheless, the study did not take Sharīʿah discussion into account. The study of Sarker (2006) proposed to add Sharīʿah rating in ‘S’ of CAMELS becoming CAMELSS, yet the proposed rating was not based on the maqāṣid al-Sharīʿah theory. The study by Ratnaputri (2013) used Sharīʿah conformity along with CAMEL(S) rating system. Nonetheless, the elaboration of Sharīʿah conformity was unclear. The work of Abdul Rahman and Masngut (2014) used Sharīʿah compliance in CAMELS analysis. However, Sharīʿah compliance of the study was limited to Sharīʿah rules and regulation issued by a Sharīʿah advisory council. It neither formed a method nor considered the theory of maqāṣid al-Sharīʿah. Ismail and Che (2015) studied the indicators of IBs financial soundess covering both financial and Sharīʿah facets. However, neither an index of Sharīʿah measurement was developed nor empirical evidence was presented.

2.

Jurists who are discussed in Auda (2011) are Muḥammad al-Ṭāhir ibn ʿĀshūr (1325AH), Dhia’ ul-Din Abd al-Malik ibn Yusuf al-Juwayni al-Shafi’i (d.478 AH/1085 CE), Abū Ḥāmid Muḥammad ibn Muḥammad al-Ghazālī (d.505 AH/1111 CE), Shihāb al-Dīn al-Qarāfī (d.684 AH/1285 CE), Sayf al-Din al-Amidi (1404AH), Ibn Qudāmah al-Maqdīsī (1399AH), Ahmad ibn al-Tayyib al-Sarakhsi and Ibn Abdul Samad.

References

Abdul Rahman, R. and Masngut, M.Y. (2014), “The use of 'CAMELS' in detecting financial distress of Islamic banks in Malaysia”, Journal of Applied Business Research (JABR), Vol. 30 No. 2, pp. 445-452.

Al-Thani, K.T.A. (2015), “Message of the Chairman – Managing Director” in QIIB”, Annual Report 2015, available at: www.qiib.com.qa/Documents/List/FinancialReports (accessed 12 January 2018).

Antonio, M.S., Sanrego, Y.D. and Taufiq, M. (2012), “An analysis of Islamic banking performance: maqashid index implementation in Indonesia and Jordania”, Journal of Islamic Finance, Vol. 1 No. 1, pp. 12-29.

Ascarya, R.S. and Sukmana, R. (2016), “Measuring the Islamicity of Islamic bank in Indonesia and other countries based on Sharī‘ah objectives”, Paper presented at the 11th Islamic Conference on Islamic Economics and Finance, Kuala Lumpur, 11-13 October, available at: www.researchgate.net/publication/314093831_MEASURING_THE_ISLAMICITY_OF_ISLAMIC_BANK_IN_INDONESIA_AND_OTHER_COUNTRIES_BASED_ON_SHARI'AH_OBJECTIVES (accessed 12 June 2018).

Ashraf, M.A. and Lahsasna, A. (2017), “Proposal for a new Sharīʿah risk rating approach for Islamic banks”, ISRA International Journal of Islamic Finance, Vol. 9 No. 1, pp. 87-94.

Asutay, M. (2012), “Conceptualising and locating the social failure of Islamic finance: aspirations of Islamic moral economy vs. the realities of Islamic finance”, Asian and African Area Studies, Vol. 11 No. 2, pp. 93-113, available at: www.asafas.kyoto-u.ac.jp/dl/publications/no_1102/AA112_02_Asutay.pdf (accessed 12 June 2018).

Asutay, M. and Harningtyas, A.F. (2015), “Developing maqasid al-Shari’ah index to evaluate social performance of Islamic banks: a conceptual and empirical attempt”, International Journal of Islamic Economics and Finance Studies, Vol. 1 No. 1, pp. 5-64, available at: https://dergipark.org.tr/download/article-file/303975 (accessed 12 June 2018).

Auda, J. (2008), Maqasid al-Shariah: An Introductory Guide, International Institute of Islamic Thought (IIIT), Kuala Lumpur, available at: www.jasserauda.net/new/pdf/maqasid_guide-Feb_2008.pdf (accessed 11 June 2018).

Auda, J. (2011), “A maqāṣidī approach to the contemporary application of the Sharīʿah”, Intellectual Discourse, Vol. 19 No. 2, available at: http://journals.iium.edu.my/intdiscourse/index.php/islam/article/view/231 (accessed 11 June 2018).

Bedoui, H.E. (2012), “Ethical competitive advantage for Islamic finance institutions: how should they measure their performance?”, paper presented at the tenth Harvard University forum on Islamic finance”, Cambridge, MA, 24-25 March, available at: www.researchgate.net/publication/309395958_Ethical_Competitive_Advantage_for_Islamic_Finance_Institutions_How_should_They_Measure_Their_Performance (accessed 9 June 2019).

Bedoui, H.E. and Mansour, W. (2015), “Performance and maqasid al-Shari’ah’s pentagon-shaped ethical measurement”, Science and Engineering Ethics, Vol. 21 No. 3, pp. 555-576.

Chapra, M.U. (2007), “The islamic vision of development in the light of maqāsid al-Sharī‘ah”, working paper, Islamic Research and Training Institute (IRTI), Jeddah, available at: www.researchgate.net/publication/303499103_The_Islamic_Vision_of_Development_in_the_Light_of_Maqasid_Al-Shari'ah (accessed 9 June 2018).

Darmastuti, D. (2013), “Implementasi metode simple additive weighting (SAW) dalam sistem informasi lowongan kerja berbasis web untuk rekomendasi pencari kerja terbaik”, Jurnal Sistem Dan Teknologi Informasi, Universitas Tanjungpura, Vol. 1 No. 2, pp. 114-119, available at: http://jurnal.untan.ac.id/index.php/justin/article/view/2658 (accessed 4 July 2018).

Dusuki, A.W. and Bouheraoua, S. (2011), “The framework of maqasid al-Shari’ah and its implication for Islamic finance”, Islam and Civilisational Renewal (ICR), Vol. 2 No. 2, pp. 316-336. available at: www.icrjournal.org/icr/index.php/icr/article/view/174 (accessed 4 June 2019).

Fishburn, P.C. (1967), “Additive utilities with finite sets: application in the management sciences”, Naval Research Logistics Quarterly, Vol. 14 No. 1, pp. 1-13. available at: https://doi.org/10.1002/nav.3800140102 (accessed 4 June 2019).

Hanif, M. (2018), “Sharīʿah-compliance ratings of the Islamic financial services industry: a quantitative approach”, ISRA International Journal of Islamic Finance, Vol. 10 No. 2, pp. 162-184.

Haniffa, R. and Hudaib, M. (2007), “Exploring the ethical identity of Islamic banks via communication in annual reports”, Journal of Business Ethics, Vol. 76 No. 1, pp. 97-116.

Hassan, M.K. (2006), “The x-efficiency in Islamic banks”, Islamic Economic Studies, Vol. 13 No. 2, pp. 49-77.

Hudaefi, F.A. and Bisyri, A. (2014), “The pool of funds approach and asset allocation approach in Sharia’s perspective (a literature review)”, Jurnal Ekonomi Dan Perbankan Syariah, Vol. 2 No. 1, pp. 4-25.available at: www.researchgate.net/publication/332494686_The_Pool_of_Funds_Approach_and_Asset_Allocation_Approach_in_Sharia’s_Perspective_A_Literature_Review (accessed 4 June 2019).

Hudaefi, F.A. and Heryani, N. (2019), “The practice of local economic development and maqāṣid al-Sharī‘ah: evidence from a pesantren in West Java, Indonesia”, International Journal of Islamic and Middle Eastern Finance and Management, available at: https://doi.org/10.1108/IMEFM-08-2018-0279 (accessed 10 June 2019).

Hwang, C. and Yoon, K. (1981), Multiple Attribute Decision Making: Methods and Applications, a State of the Art Survey, Springer-Verlag Berlin Heidelberg, Heidelberg.

Ismail, A.G. and Che, A.S.P. (2015), “Financial soundness indicators and the objectives of Shari'ah in assessing the stability of Islamic banks”, working papers 1436–11, The Islamic Research and Teaching Institute (IRTI), Jeddah.

Jaffar, M. and Manarvi, I. (2011), “Performance comparison of Islamic and conventional banks in Pakistan”, Global Journal of Management and Business Research, Vol. 11 No. 1, pp. 61-66, available at: https://globaljournals.org/GJMBR_Volume11/7_Performance_comparison_of_Islamic_and_Conventional_banks_in_Pakistan.pdf (accessed 10 December 2017).

Khan, M.A. (1997), “Performance auditing for Islamic banks”, Islamic Economic Studies, Vol. 5 No. 1, pp. 23-37. available at: http://ierc.sbu.ac.ir/File/Article/PERFORMANCE%20AUDITING%20FOR%20ISLAMIC%20BANKS_94109.pdf (accessed 11 January 2018).

Koch, T.W. and MacDonald, S.S. (2015), Bank Management, 8th Edition, Cengage Learning, Boston.

Laldin, M.A. and Furqani, H. (2013), “The foundations of Islamic finance and the maqāṣid al Sharīʿah requirements”, Journal of Islamic Finance, Vol. 2 No. 1, pp. 31-37, available at: http://journals.iium.edu.my/iiibf-journal/index.php/jif/article/download/9/9 (accessed 11 January 2018).

MacCrimmon, K.R. (1968), Decision Making among Multiple-Attribute Alternatives: A Survey and Consolidated Approach, The Rand Corporation, Santa Monica.

Mannan, M.A. (2016), “Islamic banking in Bangladesh: progress and potentials”, available at: www.islamibankbd.com/upload_dir/mdnews/Islamic%20Banking%20in%20Bangladesh%20Progress%20and%20Potentials.doc (accessed 20 December 2017).

Meezan Bank (2015), “Annual report 2015”, available at: www.meezanbank.com/wp-content/themes/mbl/downloads/annualreport2015.pdf (accessed 22 December 2017).

Mohamed Ibrahim, S.H., Wirman, A., Alrazi, B., Mohamed Nor, M.N., (2004) and Pramono, S.Alternative disclosure and performance measures for Islamic banks”, paper presented at The 2nd International Conference on Administrative Sciences, King Fahd University of Petroleum and Minerals, available at: www.researchgate.net/publication/228452704_ALTERNATIVE_DISCLOSURE_PERFORMANCE_MEASURES_FOR_ISLAMIC_BANKS (accessed 4 January 2019).

Mohammed, M.O. Abdul Razak, D. and Md Taib, F. (2008), “The performance measures of Islamic banking based on the maqasid framework”, paper presented at the IIUM International Accounting Conference (INTAC IV), Putrajaya, 25 June, available at: http://irep.iium.edu.my/10121/1/INTAC_4(accounting).Revised.pdf (accessed 12 November 2017).

Mohammed, M.O. Tarique, K.M. and Islam, R. (2015), “Measuring the performance of Islamic banks using maqāṣid-based model”, Intellectual Discourse, Vol. 23, pp. 401-424, available at: http://journals.iium.edu.my/intdiscourse/index.php/islam/article/view/692 (accessed 5 January 2019).

Muhammed, M.O. and Md Taib, F. (2015), “Developing Islamic banking performance measures based on maqasid al-Shariah framework: cases of 24 selected banks”, Journal of Islamic Monetary Economics and Finance, Vol. 1 No. 1, pp. 55-77.

Muhmad, S.N. and Hashim, H.A. (2015), “Using the CAMEL framework in assessing bank performance in Malaysia”, International Journal of Economics, Management and Accounting, Vol. 23 No. 1, pp. 109-127.

Muljawan, D. (2005), “A design for Islamic banking rating system: an integrated approach”, available at: www.kantakji.com/media/9315/a-design-for-islamic-banking-rating-system1.pdf (accessed 22 December 2017).

Nik Mohd Rashid, N.M.N., Muhmad, S.N., Abdul Hamid, N., Abdul Rasit, Z. and Md Noor, R. (2017), “Sustainability of CAMEL framework as a performance evaluator for banking industry”, World Applied Sciences Journal, Vol. 35 No. 9, pp. 1839-1843.

PT Bank Syariah Mandiri (2015), “Annual report 2015”, available at: www.syariahmandiri.co.id/assets/pdf/annual-report/AR_Eng_2015.pdf (accessed 4 January 2018).

Qin, X.S., Huang, G.H., Chakma, A., Nie, X.H. and Lin, Q.G. (2008), “A MCDM-based expert system for climate-change impact assessment and adaptation planning – a case study for the Georgia Basin, Canada”, Expert Systems with Applications, Vol. 34 No. 3, pp. 2164-2179.

Ratnaputri, W. (2013), “The analysis of Islamic bank financial performance by using CAMEL, Shariah conformity and profitability (SCnP)”, Jurnal Dinamika Manajemen, Vol. 4 No, No. 2, pp. 215-226.

Sairally, B.S. (2013), “Evaluating the corporate social performance of Islamic financial institutions: an empirical study”, International Journal of Islamic and Middle Eastern Finance and Management, Vol. 6 No. 3, pp. 238-260.

Samad, A. (1999), “Comparative efficiency of the Islamic bank vis-à-vis conventional banks in Malaysia”, International Journal of Economics, Management and Accounting, Vol. 7 No. 1, available at: http://journals.iium.edu.my/enmjournal/index.php/enmj/article/view/46 (accessed 11 January 2018).

Saoqi, A.A.Y. (2017), “Analyzing the performance of Islamic banking in Indonesia and Malaysia: maqasid index approach”, Jurnal Ekonomi Islam, Vol. 8 No. 1, pp. 29-50. available at: https://journal.uhamka.ac.id/index.php/jei/article/view/326 (accessed 8 March 2019).

Sarker, A.A. (2006), “CAMELS rating system in the context of Islamic banking: a proposed ‘s’ for Shariah framework”, Journal of Islamic Economics, Banking and Finance, Vol. 2 No. 2, pp. 12-16.

Sekaran, U. and Bougie, R. (2003), Research Methods for Business: A Skill Building Approach, John Wiley and Sons, Hoboken, NJ.

Velasquez, M. and Hester, P.T. (2013), “An analysis of multi-criteria decision making methods”, International Journal of Operations Research, Vol. 10 No. 2, pp. 56-66, available at: www.orstw.org.tw/ijor/vol10no2/ijor_vol10_no2_p56_p66.pdf (accessed 2 January 2018).

Yudistira, D. (2004), “Efficiency in Islamic banking: an empirical analysis of eighteen banks”, Islamic Economic Studies, Vol. 12 No. 1, pp. 1-19, available at: www.irti.org/English/Research/Documents/IES/095.pdf (accessed 22 December 2017).

Further reading

PT Bank Syariah Mandiri (2014), “Laporan tahunan 2014”, available at: www.syariahmandiri.co.id/assets/pdf/annual-report/AR_BSM_2014_Lap_Manajemen.pdf (accessed 10 July 2018).

Acknowledgements

The corresponding author would like to thank LPDP of Indonesia (Lembaga Pengelola Dana Pendidikan) for the education grant awarded to him to pursue a Master’s degree at Academy of Islamic Studies, Department of Syariah and Management, University of Malaya (UM). In addition, special thanks go to Dr. Mohd Rizal bin Muwazir from UM and Dr. Beebee Salma Sairally from International Shari’ah Research Academy for Islamic Finance (ISRA) for giving substantive comments to improve this paper. The material in this paper was presented at the corresponding author’s Proposal Defense in UM.

Corresponding author

Fahmi Ali Hudaefi can be contacted at: alihudzaifi@gmail.com

About the authors

Fahmi Ali Hudaefi is a master’s candidate at the Department of Syariah and Management, Academy of Islamic Studies, University of Malaya. He is also a Researcher at BAZNAS Center of Strategic Studies and a Sekolah Tinggi Ekonomi Islam (STEI) SEBI alumnus.

Kamaruzaman Noordin, PhD, is a Senior Lecturer at the Department of Syariah and Management, Academy of Islamic Studies, University of Malaya, Kuala Lumpur, Malaysia.

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