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The Effect of Artificial Intelligence on End-User Online Purchasing Decisions: Toward an Integrated Conceptual Framework

Author

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  • Hasan Beyari

    (Department of Administrative and Financial Sciences, Applied College, Umm Al-Qura University, Makkah 24382, Saudi Arabia)

  • Hatem Garamoun

    (Marketing Department, College of Business Administration, University of Business and Technology, Jeddah 21448, Saudi Arabia)

Abstract

This study was an investigation into the effect of selected artificial intelligence tools and the consideration set on the end-user purchasing intentions of convenient and shopping products of Saudi Arabian customers. The consideration set was the factor that the researcher sought to associate directly with the online purchasing intention variable. The selected AI tools and approaches were machine learning, purchase duration, social product recommendation, and social media dependency. The four served as the indirect factors, as their effect was measured against the consideration set variable. The theoretical framework employed in this study comprised the unified theory of acceptance and use of technology (UTAUT) and the theory of reasoned action. The researchers used an online survey with a sample of 148 customers. In analyzing the findings, the researchers opted for the structural equation modeling (SEM) approach. The findings indicated evidence of association with a consideration set of three independent variables, namely, machine learning, purchase duration, and product recommendation. The study also established that customer consideration sets influence end-user purchase decisions for online customers.

Suggested Citation

  • Hasan Beyari & Hatem Garamoun, 2022. "The Effect of Artificial Intelligence on End-User Online Purchasing Decisions: Toward an Integrated Conceptual Framework," Sustainability, MDPI, vol. 14(15), pages 1-17, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9637-:d:881049
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    References listed on IDEAS

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    1. Adrian Micu & Angela-Eliza Micu & Marius Geru & Alexandru Capatina & Mihaela-Carmen Muntean, 2021. "The Impact of Artificial Intelligence Use on the E-Commerce in Romania," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(56), pages 137-137, February.
    2. Mithun S. Ullal & Iqbal Thonse Hawaldar & Rashmi Soni & Mohammed Nadeem, 2021. "The Role of Machine Learning in Digital Marketing," SAGE Open, , vol. 11(4), pages 21582440211, October.
    3. Duangruthai Voramontri & Leslie Klieb, 2019. "Impact of social media on consumer behaviour," International Journal of Information and Decision Sciences, Inderscience Enterprises Ltd, vol. 11(3), pages 209-233.
    4. Ardy Wibowo & Shih-Chih Chen & Uraiporn Wiangin & Yin Ma & Athapol Ruangkanjanases, 2020. "Customer Behavior as an Outcome of Social Media Marketing: The Role of Social Media Marketing Activity and Customer Experience," Sustainability, MDPI, vol. 13(1), pages 1-18, December.
    5. Jiwang Yin & Xiaodong Qiu, 2021. "AI Technology and Online Purchase Intention: Structural Equation Model Based on Perceived Value," Sustainability, MDPI, vol. 13(10), pages 1-16, May.
    6. Quentin André & Ziv Carmon & Klaus Wertenbroch & Alia Crum & Douglas Frank & William Goldstein & Joel Huber & Leaf Boven & Bernd Weber & Haiyang Yang, 2018. "Consumer Choice and Autonomy in the Age of Artificial Intelligence and Big Data," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(1), pages 28-37, March.
    7. Marilyn Giroux & Jungkeun Kim & Jacob C. Lee & Jongwon Park, 2022. "Artificial Intelligence and Declined Guilt: Retailing Morality Comparison Between Human and AI," Journal of Business Ethics, Springer, vol. 178(4), pages 1027-1041, July.
    8. Saura, José Ramón & Palacios-Marqués, Daniel & Iturricha-Fernández, Agustín, 2021. "Ethical design in social media: Assessing the main performance measurements of user online behavior modification," Journal of Business Research, Elsevier, vol. 129(C), pages 271-281.
    9. Gilal, Faheem Gul & Zhang, Jian & Paul, Justin & Gilal, Naeem Gul, 2019. "The role of self-determination theory in marketing science: An integrative review and agenda for research," European Management Journal, Elsevier, vol. 37(1), pages 29-44.
    10. Brei, Vinicius Andrade, 2020. "Machine Learning in Marketing: Overview, Learning Strategies, Applications, and Future Developments," Foundations and Trends(R) in Marketing, now publishers, vol. 14(3), pages 173-236, August.
    11. Chinchanachokchai, Sydney & Thontirawong, Pipat & Chinchanachokchai, Punjaporn, 2021. "A tale of two recommender systems: The moderating role of consumer expertise on artificial intelligence based product recommendations," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    12. Zhao, Haichuan & Wang, Xuehua & Jiang, Lan, 2021. "To purchase or to remove? Online shopping cart warning pop-up messages can polarize liking and purchase intention," Journal of Business Research, Elsevier, vol. 132(C), pages 813-836.
    13. Li, Xi & Dahana, Wirawan Dony & Ye, Qiongwei & Peng, Luluo & Zhou, Jiaying, 2021. "How does shopping duration evolve and influence buying behavior? The role of marketing and shopping environment," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    14. Laith T. Khrais, 2020. "Role of Artificial Intelligence in Shaping Consumer Demand in E-Commerce," Future Internet, MDPI, vol. 12(12), pages 1-14, December.
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