Factors Impacting the Use of Donation-Based Crowdfunding Platforms in Saudi Arabia: The Case of Ehsan Platform

Authors

  • Sahar Alshathry Lecturer, Department of Management Information Systems, College of Business Administration, King Saud University
  • Dr.Wafi Albalawi II Associate Professor, Department of Management Information Systems, College of Business Administration, King Saud University

DOI:

https://doi.org/10.24297/ijmit.v19i.9673

Keywords:

Saudi Arabia, Ehsan platform, UTAUT, donation-based crowdfunding, crowdfunding

Abstract

This research investigates the factors influencing people's intentions to use donation-based crowdfunding platforms in Saudi Arabia, focusing on the Ehsan platform supervised by the Saudi Data and Artificial Intelligence Authority (SDAIA). Ehsan aims to ensure proper monetary distribution to genuinely needy individuals, thereby reducing financial fraud and corruption. For the platform's success, it is essential that citizens effectively utilize it. Employing the Unified Theory of Acceptance and Use of Technology, the study analyzes the determinants that influence intentions to use Ehsan and actual use behaviors. An empirical study was conducted with 224 Saudi citizens from various age groups, and the research model was validated using the Partial Least Squares (PLS) approach. Findings reveal that performance expectancy and facilitating conditions significantly impact intentions to use Ehsan, while effort expectancy and social influence do not. The results indicate a positive association between participants' intentions to use Ehsan and their actual usage. This study enhances the understanding of factors affecting donation-based crowdfunding platforms in Saudi Arabia and offers practical insights for platform developers and decision-makers to consider in their design and modifications.

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References

Algarni. Hanaa. (2020). Using the Technology Acceptance Model (Tam) in Examining Absher System Acceptancein the Kingdom Saudi Arabia. Journal of Economic and Financial Research, 4(2), 60.

Almaiah, M. A., Alamri, M. M., & Al-Rahmi, W. (2019). Applying the UTAUT model to explain the students’ acceptance of mobile learning system in higher education. Ieee Access, 7, 174673–174686. https://doi.org/10.1109/access.2019.2957206

Asharq Al Awsat. (2020). Saudi Arabia Investigates First Stockpiling Attempt. Asharq Al Awsat. https://english.aawsat.com/home/article/2196716/saudi-arabia-investigates-first-stockpiling-attempt

CGC. (n.d.). Ehsan platform for charity takes shape, launches in the Kingdom. http://cgc.gov.sa/en/node/499

Chen, Y., Dai, R., Yao, J., & Li, Y. (2019). Donate time or money? The determinants of donation intention in online crowdfunding. Sustainability, 11(16), 4269. https://doi.org/10.3390/su11164269

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319–340. https://doi.org/10.2307/249008

Gazzaz, H. (2019). Crowdfunding in Saudi Arabia: a case study of the Manafa platform. International Journal of Economics and Finance, 11(11), 1–72. https://doi.org/10.5539/ijef.v11n11p72

Grand, S. R., & Wolff, K. (2022). ASSESSING SAUDI VISION 2030: A 2020 REVIEW. Atlantic Council. https://www.atlanticcouncil.org/in-depth-research-reports/report/assessing-saudi-vision-2030-a-2020-review/

Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40, 414–433.

Hair Jr, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis. In Multivariate data analysis (7th) Edition (p. 785).

Henseler, J. (2017). Partial least squares path modeling. Advanced Methods for Modeling Markets, 361–381.

Hooghiemstra, S. N., & de Buysere, K. (2016). The perfect regulation of crowdfunding: what should the European regulator do? Crowdfunding in Europe: State of the Art in Theory and Practice, 135–165. https://doi.org/10.1007/978-3-319-18017-5_10

Jiao, H., Qian, L., Liu, T., & Ma, L. (2021). Why do people support online crowdfunding charities? A case study from China. Frontiers in Psychology, 12, 582508. https://doi.org/10.3389/fpsyg.2021.582508

Jöreskog, K. G. (1999). What is the interpretation of R2. Chicago, IL: Scientific Software International.

Kamarubahrin, A. F., Muhamed, N. A., Radzi, R. M., Nazarie, W. N. F. W. M., & Kamaruddin, M. I. H. (2023). Donation-Based Crowdfunding: Systematic Literature Review. Journal of Islamic Finance, 12(2), 11–20.

Kamarudin, M. K., Mohamad Norzilan, N. I., Mustaffa, F. N. A., Khidzir, M., Alma’amun, S., Nor Muhamad, N. H., Abu-Hussin, M. F., Noor Zainan, N. I., Abdullah, A. H., & Samat-Darawi, A. B. (2023). Why do donors donate? A study on donation-based crowdfunding in Malaysia. Sustainability, 15(5), 4301. https://doi.org/10.3390/su15054301

Kashif, M., Sarifuddin, S., & Hassan, A. (2015). Charity donation: intentions and behaviour. Marketing Intelligence & Planning, 33(1), 90–102. https://doi.org/10.1108/mip-07-2013-0110

Kasri, R. A., & Sosianti, M. W. (2023). Determinants of the intention to pay zakat online: The case of Indonesia. Journal of Islamic Monetary Economics and Finance, 9(2), 275–294. https://doi.org/10.21098/jimf.v9i2.1664

Kenang, I. H., & Gosal, G. (2021). Factors affecting online donation intention in donation-based crowdfunding. The Winners, 22(2), 97–104. https://doi.org/10.21512/tw.v22i2.7101

Khan, I. U., Hameed, Z., Khan, S. N., Khan, S. U., & Khan, M. T. (2022). Exploring the effects of culture on acceptance of online banking: A comparative study of Pakistan and Turkey by using the extended UTAUT model. Journal of Internet Commerce, 21(2), 183–216. https://doi.org/10.1080/15332861.2021.1882749

Khizar, N., & Siddiqui, D. A. (2021). Factors Influencing the Adoption of Crowdfunding in Pakistan: The Mediatory Role of Perceived Risk, Benefits, and Trust. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3943067

Lee, D., & Park, J. (2020). The relationship between a charity crowdfunding project’s contents and donors’ participation: An empirical study with deep learning methodologies. Computers in Human Behavior, 106, 106261. https://doi.org/10.1016/j.chb.2020.106261

Li, Y.-Z., He, T.-L., Song, Y.-R., Yang, Z., & Zhou, R.-T. (2018). Factors impacting donors’ intention to donate to charitable crowd-funding projects in China: a UTAUT-based model. Information, Communication & Society, 21(3), 404–415. https://doi.org/10.1080/1369118x.2017.1282530

Lim, C. S. L., & Wang, Z. (2023). A Systematic Approach to Segmentation Analysis Using Machine Learning for Donation-Based Crowdfunding. In Marketing and Smart Technologies: Proceedings of ICMarkTech 2022, Volume 2 (pp. 125–146). Springer. https://doi.org/10.1007/978-981-19-9099-1_10

Merhi, M. I. (2018). Does national culture have any impact on e-government usage? International Journal of Technology Diffusion (IJTD), 9(3), 29–45. https://doi.org/10.4018/ijtd.2018070103

Merhi, M. I. (2022). The effect of digital transformation on corruption: A global analysis. Pacific Asia Journal of the Association for Information Systems, 14(2), 4. https://doi.org/10.17705/1pais.14204

Mistry, J. J., & Jalal, A. (2012). An empirical analysis of the relationship between e-government and corruption. International Journal of Digital Accounting Research, 12.

Moon, Y., & Hwang, J. (2018). Crowdfunding as an alternative means for funding sustainable appropriate technology: Acceptance determinants of backers. Sustainability, 10(5), 1456. https://doi.org/10.3390/su10051456

Muryani, M. A., Rosyidah, N., Davin, M. A., & Noor, A. (2023). The Role of Donation-Based Crowdfunding Platforms in Improving People’s Welfare (Study on the Kitabisa. com). JED (Jurnal Etika Demokrasi), 8(3), 373–382.

Nadrah, R., Gambour, Y., Kurdi, R., & Almansouri, R. (2021). E-government service in Saudi Arabia. PalArch’s Journal of Archaeology of Egypt/Egyptology, 18(16), 21–29.

Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61, 404–414. https://doi.org/10.1016/j.chb.2016.03.030

Oye, N. D., A. Iahad, N., & Ab. Rahim, N. (2014). The history of UTAUT model and its impact on ICT acceptance and usage by academicians. Education and Information Technologies, 19, 251–270. https://doi.org/10.1007/s10639-012-9189-9

Piccinelli, M. (2024). The impact of trusted social media in the context of donation-based crowdfunding. University of Twente.

Raheel. (n.d.). Kollona Amn APPLICATION.

Rönkkö, M., & Cho, E. (2022). An updated guideline for assessing discriminant validity. Organizational Research Methods, 25(1), 6–14.

Rönkkö, M., & Evermann, J. (2013). A critical examination of common beliefs about partial least squares path modeling. Organizational Research Methods, 16(3), 425–448.

Saudi Gazette. (2023). Saudi: Ehsan warns against exploiting its name in financial fraud for donations, as Ramadan approaches. https://saudigazette.com.sa/article/630928/SAUDI-ARABIA/Ehsan-warns-against-exploiting-its-name-in-financial-fraud-for-donations-as-Ramadan-approaches

Sulaeman, S. (2020). A conceptual and empirical study on the development of the Islamic donation-based crowdfunding platform model for micro small and medium-sized enterprises (MSMEs) in times of Covid-19 pandemic in Indonesia. Asian Journal of Islamic Management (AJIM), 107–122. https://doi.org/10.20885/ajim.vol2.iss2.art4

Sulaeman, S., & Ninglasari, S. Y. (2020). Analysing the Behavioral Intention Factors in Using Zakat-Based Crowdfunding Platform in Indonesia: A Quantitative Study. International Journal of Zakat, 5(3), 1–19. https://doi.org/10.37706/ijaz.v5i3.267

Theerthaana, P., & Manohar, H. L. (2021). How a doer persuade a donor? Investigating the moderating effects of behavioral biases in donor acceptance of donation crowdfunding. Journal of Research in Interactive Marketing, 15(2), 243–266. https://doi.org/10.1108/jrim-06-2019-0097

Um, N. (2024). Personal, Social, and Situational Factors Affecting Donation Intention on Donation-Based Crowd-Funding Platform: Focusing on University Students. Journal of Digital Contents Society, 25(6), 1507–1515. https://doi.org/10.9728/dcs.2024.25.6.1507

Van Teijlingen, E., & Hundley, V. (2002). The importance of pilot studies. Nursing Standard (through 2013), 16(40), 33.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 425–478. https://doi.org/10.2307/30036540

Venkatesh, V., Thong, J. Y. L., & Xu, X. (2016). Unified theory of acceptance and use of technology: A synthesis and the road ahead. Journal of the Association for Information Systems, 17(5), 328–376. https://doi.org/10.17705/1jais.00428

Yahya, L. M., Purwati, S., Pertiwi, T. P., & Suradi, A. (2023). Application of EUCS and UTAUT method to analyze the implementation of donation-based crowdfunding system for fundraising mobile applications. Jurnal Informasi Dan Teknologi, 165–170. https://doi.org/10.60083/jidt.v5i4.433

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Published

2024-10-27

How to Cite

Alshathry , S., & Albalawi II, D. (2024). Factors Impacting the Use of Donation-Based Crowdfunding Platforms in Saudi Arabia: The Case of Ehsan Platform. INTERNATIONAL JOURNAL OF MANAGEMENT &Amp; INFORMATION TECHNOLOGY, 19, 14–29. https://doi.org/10.24297/ijmit.v19i.9673

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