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Predicting intention to participate in family takaful scheme using decomposed theory of planned behaviour

Author

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  • Maizaitulaidawati Md Husin
  • Asmak Ab Rahman

Abstract

Purpose - The purpose of this paper is to examine the factors that influence an individual’s intention to participate in the family takaful scheme based on decomposed theory of planned behaviour (DTPB). The central hypotheses for this study are that individual’s intentions to participate in family takaful scheme are a result of attitudes towards participation in family takaful scheme, subjective norms, and perceived behavioural control (PBC). Awareness and knowledge, as well as exposure and religiosity, are integrated into the model. Design/methodology/approach - Using primary data collection method, 384 questionnaires were distributed to target respondents comprising of Muslims in Klang Valley, Malaysia. The data were analysed using Statistical Package for the Social Sciences and SmartPLS. Findings - The DTPB model is effective in predicting individual’s intention to participate in family takaful scheme. Out of 15 hypotheses, 12 were found to be significant. Attitudes towards participation in family takaful scheme, PBC, knowledge, and exposure have significant influences on purchase intention. However, this study found the path from religiosity, awareness, and subjective norm to intention was insignificant. Practical implications - The results of this study highlight the applicability of DTPB into takaful research and suggest marketing strategies for family takaful operators. Originality/value - The value of this paper lies in its presentation of a model for factors that affect individual’s intention to participate in family takaful scheme.

Suggested Citation

  • Maizaitulaidawati Md Husin & Asmak Ab Rahman, 2016. "Predicting intention to participate in family takaful scheme using decomposed theory of planned behaviour," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 43(12), pages 1351-1366, December.
    • Handle: RePEc:eme:ijsepp:ijse-03-2015-0074
    DOI: 10.1108/IJSE-03-2015-0074
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    Citations

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    Cited by:

    1. Abdullah Al Mamun & Muhammad Khalilur Rahman & Uma Thevi Munikrishnan & P. Yukthamarani Permarupan, 2021. "Predicting the Intention and Purchase of Health Insurance Among Malaysian Working Adults," SAGE Open, , vol. 11(4), pages 21582440211, November.
    2. Khan, Ashraf & Hassan, M. Kabir & Paltrinieri, Andrea & Dreassi, Alberto & Bahoo, Salman, 2020. "A bibliometric review of takaful literature," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 389-405.
    3. Azhar Alam & Bayu Arie Fianto & Ririn Tri Ratnasari & Aidi Ahmi & Fransiska Putri Handayani, 2023. "History and Development of Takaful Research: A Bibliometric Review," SAGE Open, , vol. 13(3), pages 21582440231, July.
    4. Youssef Chetioui & Yassine El Bouchikhi & Hind Lebdaoui & Meryem Ennassiri & Hanane Jannah & Ghita Yunsi & Imane Zhar & Ayoub Ghamas, 2024. "Modeling the Socio-Economic Factors Affecting Islamic Insurance Adoption: A Structural Equation Modeling Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 14(3), pages 106-114, May.
    5. Alfiero, Simona & Battisti, Enrico & Ηadjielias, Elias, 2022. "Black box technology, usage-based insurance, and prediction of purchase behavior: Evidence from the auto insurance sector," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    6. Shaikh, Imran Mehboob & Noordin, Kamaruzaman & Alsharief, Ahmed, 2018. "Factors Influencing Customers’ Acceptance Towards Diminishing Partnership Home Financing: A Study of Pakistan," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 26, pages 63-86.
    7. Muhammad Nazmul Hoque & Muhammad Khalilur Rahman & Jamaliah Said & Farhana Begum & Mohammad Mainul Hossain, 2022. "What Factors Influence Customer Attitudes and Mindsets towards the Use of Services and Products of Islamic Banks in Bangladesh?," Sustainability, MDPI, vol. 14(8), pages 1-19, April.

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