Search results

Takaful is a social security approach that guarantees business risks in light of shari’ah, thus playing a crucial role in human life and the economy. The purpose of this study is to examine the factors that influence the behavioural intention of micro, small and medium-sized enterprises (MSMEs) entrepreneurs to participate in takaful in Sri Lanka.

This study is designed quantitatively with deductive approach using the theory of planned behaviour. A total of 432 MSMEs in Sri Lanka were surveyed using convenience sampling to measure the intention to participate in takaful as a risk mitigation. The collected data were analysed through partial least square-structural equational modelling.

Attitude, subjective norm and perceived behavioural control variables positively influenced the intention, with t-values of 3.216, 3.813 and 3.859, respectively. The influence of these variables exhibits not much difference.

This study only focuses on MSMEs and a general takaful scheme. Future researchers may consider family takaful involvement among Sri Lankan business entrepreneurs.

Takaful practitioners should gain from the entrepreneurs’ intention to participate in takaful. Findings from this study could help marketing managers to revamp their strategies to further attract the entrepreneurs and make them to understand risk they are facing and, subsequently, participate in the takaful scheme.

This paper focuses on the context of Muslim minority among pluralism, where there is no regulation for Islamic financial products and services, and under the Islamic financial market crisis. This unleashes how business owners feel about takaful system on different dimensions.

This study aims to investigate the factors affecting micro, small and medium entrepreneurs’ (MSMEs) behavioural intention to participate in takaful schemes in Sri Lanka.

This research adopted a quantitative approach using primary data from a questionnaire. Out of 470 questionnaires, 432 were collected (91.91%) from MSMEs in Kalmunai business region in Sri Lanka. The data obtained were analysed using partial least square-structural equation modelling.

This study revealed that the extension model of the theory of planned behaviour (TPB) can be effectively applied to behavioural intentions towards a takaful scheme by MSMEs. Out of eight hypotheses, seven were significant, including: attitude towards behavioural intention; subjective norm; perceived behavioural control; knowledge; religiosity; income; trust in takaful as a significant influence. However, awareness of intention was not found to be significant.

This study suggests advantages for takaful providers in Sri Lanka, especially marketing departments, for enhancing sale of products, refurbishing marketing strategies and understanding the purchasing motivation of business entrepreneurs. This study guides takaful companies as to where they should concentrate to enhance market penetration.

Previous studies have concentrated on only three factors which comprise TPB. This paper’s main contribution is on the uniqueness of the Muslim minority context in a pluralistic context, providing a marketing model for takaful operators based on the different relevant dimensions.

This paper aims to examine the efficiency of Islamic vs conventional banks in Malaysia by unveiling the traditional efficiency concept – black box – with a three-stage network structure of bank operations.

This paper applies data envelopment analysis (DEA) for examining bank efficiency. An adaptive three-step network DEA (NDEA) model is demonstrated for redefining the traditional black box of banking operations. Slack-based variable returns to scale approach is used. Data from all 43 commercial banks in Malaysia are examined over a six-year study period (2010-2015). Inputs and outputs of the model are selected based on CAMELS rating. Undesired output is also considered in time of examining bank efficiency in Malaysia.

The empirical results of this study signify that only a few banks in Malaysia have been performing well in converting deposits and equities into profit as well as minimizing loan loss provisions. Islamic banks in Malaysia have performed better both in production (converting deposits and equities into earning assets) and profitability (converting loans into net income). Conventional banks, however, have over scored in intermediation (converting earning assets into loans).

An adaptive NDEA approach proposed in this paper defines the core banking process instead of traditional approaches in examining bank efficiency based on individual functions (nodes in the network model). This approach has proven to provide better benchmark capacity.

This paper aims to present a citation-based bibliometric review of Islamic banking efficiency literature from 2000 until August 2020 for analyzing the content of the literature and mapping future research directions.

Using bibliometric citation analysis, this study reviews and examines a total of 278 documents from Web of Science (WoS) indexed sources coupled with content analysis.

The results identified that the growth of Islamic banking efficiency literature has begun to rise since 2008 with an annual growth rate of 12.5% while identifying the most influential aspects of Islamic banking efficiency literature in terms of topics, papers, authors and keywords. The outcomes of science mapping (i.e. co-citation network, bibliometric coupling and co-authorship network) reveal that there are three underlying research streams in Islamic banking efficiency literature: growth of Islamic banking efficiency literature, stability and genuineness of Islamic banking operations and the methods in Islamic banking efficiency literature.

To the best of the knowledge, this is the first bibliometric review paper on Islamic banking efficiency literature. It successfully unveils the scientific mapping of published WoS documents with a future research agenda also proposed based on the review outcomes. These findings can be used in efficiency-related initiatives by managers or regulators for managing Islamic bank operations worldwide.