Web-Based Prototype Integrating Islamic Ethical Communication in E-Commerce

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Ria Rosalina
Bambang Judi Bagiono

Abstract

This study designs a web-based prototype that integrates Islamic ethical communication principles qoulan sadida, qoulan layyina, tabligh, ‘adl (justice), and amanah—into buying and selling activities at ABCD Store, Jakarta. In the context of rapid digitalization and increasingly competitive retail markets, ethical challenges such as misleading information, unfair pricing, weak transparency, and limited accountability often undermine consumer trust. To address these issues, this research introduces a Conscious-Based Method, which embeds ethical validation mechanisms directly into transactional processes. The Conscious-Based Method operates through four structured stages. The findings demonstrate that embedding computational ethical controls within a web-based retail system significantly enhances accountability, fairness, and sustainable consumer trust. This study contributes to the development of ethically embedded digital commerce architectures by operationalizing Islamic ethical communication principles into measurable system indicators. Practically, the proposed prototype provides a scalable governance model that can be adopted by small and medium-sized enterprises to strengthen consumer trust and reduce transactional disputes in digital retail environments.

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Rosalina, R., & Bagiono, B. J. (2026). Web-Based Prototype Integrating Islamic Ethical Communication in E-Commerce. Iqtisad: Journal of Islamic Economic and Civilization, 2(1), 57-89. https://iqtisad.crjis.com/index.php/irjiec/article/view/22

References

Ahmad, N., & Salameh, M. (2022). Algorithmic governance and fairness in AI systems. Journal of Ethical AI, 13(2), 180–197. https://doi.org/10.1007/s43681-022-00123-x

Agustina, S., & Wulandari, R. (2025). Transparency, trust, and accountability in AI-driven accounting: A critical literature review. International Journal of Business Law, Business Ethic, Business Communication & Green Economics, 2(3), 1–15. https://doi.org/10.70142/ijbge.v2i3.349

Aldboush, J., & Ferdous, A. (2025). Corporate accountability and ethical AI practices in digital marketing. AI Journal of Business Ethics and Strategy, 7(25), 480–494. https://doi.org/10.35631/AIJBES.725032

Algorithmic bias in e-commerce platforms. (2025). Zenodo. https://doi.org/10.5281/zenodo.15844275

Chen, L., et al. (2024). Ethics and transparency in digital platforms. AI, 4(4), 831–843. https://doi.org/10.3390/ai4040042

Chaudhary, D. (2025). The ethics of AI in pricing: Fairness, transparency, and accountability. International Journal of Computational and Experimental Science and Engineering, 11(3). https://doi.org/10.22399/ijcesen.3949

Consumer acceptance of AI in online shopping: Evidence from Hungary. (2022). arXiv preprint.

Consumer trust factors influenced by AI. (2025). Advances in Consumer Research, 2(4). https://doi.org/10.1177/09711023241303621

DeZao, T. (2024). Enhancing transparency in AI-powered customer engagement. arXiv preprint arXiv:2410.01809.

Ethical implications of AI in e-commerce: Balancing innovation with data privacy and fairness. (2025). South Eastern European Journal of Public Health, S1. https://doi.org/10.70135/seejph.vi.3984

Ethics, transparency, and consumer trust in AI-enabled pricing. (2026). Sustainable Technology and Entrepreneurship, 5(2), 100131. https://doi.org/10.1016/j.stae.2026.100131

Explainable AI in retail: Consumer privacy and fairness. (2024). arXiv preprint.

Hari, K., & Bibyana, J. (2025). A cross-cultural framework for algorithmic trust: How data transparency mechanisms influence consumer confidence in AI-driven marketing. Journal of International Commercial Law and Technology, 6(1), 727–743. https://doi.org/10.61336/Jiclt/25-01-71

Henderi, Q. A., Aini, Q., Purwanti, P., & Nabila, R. (2025). Developing sustainable technology through ethical AI governance models in business environments. ADI Journal on Recent Innovation, 6(2), 145–156. https://doi.org/10.34306/ajri.v6i2.1179

Hidayat, M. S., Muhammad, W., & Isdayanti, P. L. (2025). Digital marketing ethics in AI environments. Journal of Management and Informatics, 4(1), 723–740. https://doi.org/10.51903/jmi.v4i1.178

Li, Y. (2024). The effects of recommendation system transparency on consumer trust in e-commerce. Electronic Commerce Research and Applications, 19(4), 126.

Liu, E. (2025). Building trustworthy AI: Transparency, fairness, and governance in the digital age. AI & Future Society, 1(1), 3–5. https://doi.org/10.63802/afs.v1.i1.80

Liu, Y., & Sun, X. (2024). Algorithmic fairness, accountability, and transparency in e-commerce legitimacy. Computers in Human Behavior, 150, 108006. https://doi.org/10.1016/j.chb.2023.108006

Lu, J. (2025). Ethical AI practices of e-commerce companies in selected cities in China: A proposed policy guide. Frontiers in Business, Economics and Management, 20(1), 169–171. https://doi.org/10.54097/5hvm6t05

Model of trust management for digital industry services. (2020). arXiv preprint.

Mühlhoff, R. (2025). The ethics of AI: Power, critique, responsibility. Bristol University Press. https://doi.org/10.51952/9781529249262

Obermeyer, Z., Powers, B., Vogeli, C., & Mullainathan, S. (2023). Dissecting racial bias in an algorithm used to manage health care. Science, 366(6464), 447–453. https://doi.org/10.1126/science.aax2342

Prithivi, S., Saranya, B., Suresh, M., Anuradha, M., Dhinakaran, D. P., & Rajalakshmi, M. (2025). Ethical implications of AI in e-commerce. European Economic Letters, 15(4), 1549–1560. https://doi.org/10.52783/eel.v15i4.3925

Radanliev, P. (2025). Promoting ethical AI and algorithmic transparency. Journal of Technology and System Information, 2(2), 1–22.

Rahman, W. (2025). Ethical AI personalization in digital retail: The roles of transparency, privacy, and consumer trust. Strategic Business Research, 2(1), 100020. https://doi.org/10.1016/j.sbr.2025.100020

Sarkar, M., Rashid, M. H. O., & Hoque, M. R. (2025). Explainable AI in e-commerce. International Technology & E-Commerce Journal, 2(1), 53. https://doi.org/10.70937/itej.v2i01.53

Schneider, F., & Hühn, M. (2025). Fairness and trust in AI decision-making. International Journal of Human-Computer Studies. https://doi.org/10.1080/10447318.2025.2576634

Seller-side outcome fairness in online marketplaces. (2023). arXiv preprint.

Sharma, S., et al. (2023). Ethical considerations in AI-based marketing. Journal of Propulsion Technology, 44(3). https://doi.org/10.52783/tjjpt.v44.i3.474

Teodorescu, D., Aivaz, K.-A., Vancea, D. P. C., Condrea, E., Dragan, C., & Olteanu, A. C. (2023). Consumer trust in AI algorithms in e-commerce. Sustainability, 15(15), 11925. https://doi.org/10.3390/su151511925

Teng, Z., Xia, H., & He, Y. (2025). Algorithmic fairness and digital financial stress. Journal of Theoretical and Applied Electronic Commerce Research, 20(3), 213. https://doi.org/10.3390/jtaer20030213

The influence of artificial intelligence on consumer trust in e-commerce: Opportunities and ethical challenges. (2024). European Journal of Theoretical and Applied Sciences, 2(6), 250–259. https://doi.org/10.59324/ejtas.2024.2(6).20

Who to trust, how and why: Untangling AI ethics principles, trustworthiness and trust. (2023). arXiv preprint.

Yang, Q., & Lee, Y.-C. (2024). Ethical AI in financial inclusion: The role of algorithmic fairness on user satisfaction and recommendation. Big Data and Cognitive Computing, 8(9), 105. https://doi.org/10.3390/bdcc8090105

Young, M., Magassa, L., & Friedman, B. (2024). Transparency and accountability in AI systems. Frontiers in Human Dynamics, 6, 1421273. https://doi.org/10.3389/fhumd.2024.1421273

Zeiler, H., & Lange, M. (2025). Algorithmic transparency fallacy and perceived fairness. https://doi.org/10.1007/s00146-025-00903-5

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