ISSN: 2222-6990
Open access
The notion that waqf only involves permanent property such as graveyards, mosques and buildings is well established among the community. However, developments during the implementation of wakaf have given birth to new mechanisms involving the use of non -permanent property such as money better known as cash wakaf. Cash waqf is a waqf mechanism that raises waqf funds and then converts them into permanent property. However, the existence of this cash wakaf is still in doubt among the community because the use of money is said to be depleted when used. Against the background of this phenomenon, this study was conducted to identify the perception and level of public awareness on the implementation of cash endowment. Accordingly, this study looks at the extent to which the medium of promotion and knowledge gives awareness to the community to implement the cash endowment. This study uses quantitative methods. This study was conducted by distributing questionnaires online using google form to 230 Muslim communities in Pahang region. The data obtained were then analysed using SmartPLS (Structural Equation Modeling). The results of the study found that the factors of promotion and knowledge are significant and positively related in providing awareness and understanding of cash endowment. Although the Muslim community in Pahang region knows and understands about cash wakaf, but the majority still do not get involved in the cash wakaf. It is hoped that this study can help the parties involved, especially MAIN in raising awareness of the local community in order to increase participation in the cash endowment activities that can be participated by all levels of society.
Adeyemi, A. A., Ismail, N. A., & Hassan, S. S. B. (2016). An empirical investigation of the determinants of cash Waqf awareness in Malaysia. Intellectual Discourse, 24, 501–520.
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411-423.
Adeyemi, A., Ismail, N., & Hassan, S. S. (2016). An Empirical Investigation of the
Determinants of Cash Waqf Awareness in Malaysia. Intellectual Discourse, 24.
from http://journals.iium.edu.my/intdiscourse/index.php/islam/article/view/931
Davidsson, B., & Patel, R. (2003). Forskningsmetodikensgrunder. Lun: Studentlitteratur.
Faiz, O. A. (2014). An Analysis of Cash Waqf Participation among Young Intellectuals. 13 April 2014, Istanbul 9th International Academic Conference
Sekaran, U. (2003). Research and Markets: Research Methods for Business - A Skill Building Approach. In John Wiley & Sons.
Shukor, S. A., Anwar, I. F., Aziz, S. A., & Sabri, H. (2017). Muslim attitude towards participation in cash WAQF: Antecedents and consequences. International Journal of Business and Society, 18(S1), 193–204.
Cain, M. K., Zhang, Z., & Yuan, K. H. (2016). Univariate and multivariate skewness and kurtosis for measuring nonnormality: Prevalence, influence and estimation. Behavior Research Methods, 49(5), 1716-1735.
Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: results from a monte carlo simulation study and an electronic-mail emotion adoption study. Information Systems Research, 14(2), 189-217.
Franke, G., & Sarstedt, M. (2019). Heuristics versus statistics in discriminant validity testing: a comparison of four procedures. Internet Research, 29(3), 430-447.
Hahn, E. D., & Ang, S. H. (2017). From the editors: New directions in the reporting of statistical results in the Journal of World Business. Journal of World Business, 52(2), 125-126.
Hair, J. F., Thomas, G., Hult, M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (2nd ed.). Thousand Oakes, CA: Sage.
Hair, J., Risher, J., Sarstedt, M., & Ringle, C. (2019), When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24.
Henseler, J., Ringle, C., & Sarstedt, M. (2015). A New Criterion for Assessing Discriminant Validity in Variance-based Structural Equation Modeling. Journal of the Academy of Marketing Science, 43(1), 115-135.
Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration, 11(4), 1-10.
Kock, N., & Lynn, G. S. (2012). Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations. Journal of the Association for Information Systems, 13(7), 546-580.
Lekvall, P., & Wahlbin, C. (2001). Information för marknadsföringsbeslut. IHM publishing.
Mano, R. S. (2013). Social Media, social causes, giving behavior and money
contributions. Computers in Human Behavior. Volume 31. Pg 287-293
Ramayah, T., Cheah, J., Chuah, F., Ting, H., & Memon, M. A. (2018). Partial Least Squares Structural Equation Modeling (PLS-SEM) using SmartPLS 3.0: An Updated Guide and Practical Guide to Statistical Analysis (2nd ed.). Kuala Lumpur, Malaysia: Pearson.
Ringle, C. M., Wende, S., & Becker, J.-M. (2015). "SmartPLS 3." Boenningstedt: SmartPLS GmbH, http://www.smartpls.com
Sekaran, U., & Bougie, R. (2010). Research Methods for Business. New York: John Wiley & Sons Ltd.
Shmueli, G., Ray, S., Velasquez Estrada, J. M., & Chatla, S. B. (2016). The Elephant in the Room: Predictive Performance of PLS Models. Journal of Business Research, 69(10), 4552–4564.
Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J. H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive Model Assessment in PLS-SEM: Guidelines for Using PLSpredict. European Journal of Marketing, 53(11), 2322-2347.
In-Text Citation: (Hassan et al., 2021)
To Cite this Article: Hassan, S. H. M., Mustapha, R., Mahmud, M., Malkan, S. N. A., & Hassan, N. H. C. (2021). The Influence of Promotion and Waqf Knowledge toward Cash Waqf Awareness in Pahang Region. International Journal of Academic Research in Business and Social Sciences, 11(4), 1252–1260.
Copyright: © 2021 The Author(s)
Published by HRMARS (www.hrmars.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. 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 license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode