Evaluation of Online Customer Purchase Behavior Using Artificial Intelligence Tools in the Retail Industry
Keywords:
Online Purchasing Behavior, Artificial Intelligence, Retail IndustryAbstract
The aim of this research is to evaluate customer online purchasing behavior based on artificial intelligence tools in the retail industry. Given the expansion of e-commerce and the increasing role of intelligent technologies in shaping customer experience, this study examines the impact of intelligent capabilities, environmental readiness, environmental constraints, and the intelligent purchasing process on the smartening of customer experience and the perceived value of online consumers. The present research is applied and descriptive-survey in nature. The data collection tool in the quantitative section was a researcher-made questionnaire, which was developed from the results of the qualitative section and distributed among 384 individuals through non-probability random sampling. Data analysis was performed using structural equation modeling. The results from hypothesis testing indicate that all relationships in the model are significant and have a positive effect. Intelligent capabilities have a significant impact on environmental readiness for e-commerce, environmental constraints, and the intelligent purchasing process. Furthermore, environmental readiness plays an important role in strengthening digital transformation and developing the intelligent purchasing process. Findings suggest that environmental constraints, despite their challenging nature, can also influence the improvement of customer experience and the purchasing process through the utilization of artificial intelligence technologies. The intelligent purchasing process directly leads to an increase in the smartening of customer experience, and ultimately, the smartening of customer experience has the greatest impact on the perceived value of online consumers. Overall, the research results indicate that artificial intelligence can play a pivotal role in improving online purchasing behavior, enhancing customer experience, and creating perceived value in the retail industry. These findings highlight the importance of investing in intelligent capabilities and developing digital infrastructure to achieve sustainable competitive advantage in the online market.
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1. Mehrani A, Alizadeh H, Rasouli A. Evaluation of the Role of Artificial Intelligence Tools in the Development of Financial Services and Marketing. Journal of Technology in Entrepreneurship and Strategic Management. 2022;1(1):71-82.
2. Kim SH, Lee S, Biswas D, Shahnawaj MD, Kyoom NM, Bhardwaj PK. Personalization and Recommendation Systems: Leveraging Machine Learning Algorithms to Offer Personalized Product Recommendations and Content to Customers Based on Their Behavior, Preferences and Purchasing History. International Journal of Grid Computing & Applications. 2025;16(2):1-4. doi: 10.5121/ijgca.2025.16201.
3. Alizadeh H, Foroughi M. A Strategic SWOT Analysis of Leading Electronics Companies Based on Artificial Intelligence. International Journal of Business Management and Entrepreneurship. 2023;2(2):1-16.
4. Calza F, Sorrentino A, Tutore I. Combining Corporate Environmental Sustainability and Customer Experience Management to Build an Integrated Model for Decision-Making. Management Decision. 2023;61(13):54-84.
5. Rajabpour F, Alizadeh H, editors. Investigating the Impact of Environmental Factors on the Adoption of Social Media among Small and Medium Enterprises during the Covid-19 Crisis. The 6th National Conference and the 3rd International Conference on New Patterns of Business Management in Unstable Conditions; 2024.
6. Alizadeh H, Alba K, Rahdari A, editors. Assessing of the Development and Sustainability of SMEs Based on Industry Acceptance 4.0. 1st National Conference on Modern Applied Research in Business and Industrial Development (ARBI2024); 2024.
7. Akdim K. The Influence of eWOM: Analyzing Its Characteristics and Consequences, and Future Research Lines. Spanish Journal of Marketing-ESIC. 2021;25(2):239-59.
8. Frederik J. Online Political Microtargeting: Promises and Threats for Democracy. Utrecht Law Review. 2018;14(1):1-15.
9. Yones PCP, Muthaiyah S. eWOM via the TikTok Application and Its Influence on the Purchase Intention of Somethinc Products. Asia Pacific Management Review. 2022;28(2):174-84.
10. Abid A, Roy SK. Social Media Marketing: Adoption, Strategies, Approaches, Audience Behavior, and Content for Political Marketing. In: Matosas-López L, editor. The Impact of Digitalization on Current Marketing Strategies. Marketing & Technology: New Horizons and Challenges. Leeds: Emerald Publishing Limited; 2024. p. 117-30.
11. Zarei Pour Nasirabadi E, Behzadi M, Ghamari Pour N. Investigating the impact of awareness and perceived value on ethical purchasing behavior with the mediation of ethical purchase intention and attitude towards green marketing. Advertising and Sales Management. 2025;6(1):152-66.
12. Vahabzadeh Z, Asayesh F, Naami A. Analysis of the impact of sensory marketing on women's purchasing behavior: A mixed-method study using grounded theory and structural equation modeling. Decision Science and Intelligent Systems. 2025;2(2):1-30.
13. Wei J, Zhong Z, Arango-Aramburo S, Zhao X. Exploring green electricity certificate purchasing behavior via a laboratory experiment. Renewable and Sustainable Energy Reviews. 2025;215:115527. doi: 10.1016/j.rser.2025.115527.
14. Parnell JA. Authenticity Matters: A Nonmarket Perspective on the Competitive Strategy-Firm Performance Nexus. Management Decision. 2024;62(12):4068-94. doi: 10.1108/MD-10-2023-1789.
15. Arasti M, Garousi Mokhtarzadeh N, Jafarpanah I. Networking Capability: A Systematic Review of Literature and Future Research Agenda. Journal of Business & Industrial Marketing. 2022;37(1):160-79.
16. Adel Tantawy A, Amankwah-Amoah J, Puthusserry P. Political Ties in Emerging Markets: A Systematic Review and Research Agenda. International Marketing Review. 2023;40(6):1344-78. doi: 10.1108/IMR-09-2022-0197.
17. Guzmán F, Alvarado-Karste D, Ahmad F, Strutton D, Kennedy EL. Investigating the Effects of Political Correctness in Social Marketing Messaging. European Journal of Marketing. 2024;58(11):2473-507. doi: 10.1108/EJM-05-2023-0375.
18. Chatzi A, Doody O. The One-Way ANOVA Test Explained. Nurse Researcher. 2023;31(4).
19. Hegazy IM. The Effect of Political Neuromarketing 2.0 on Election Outcomes: The Case of Trump's Presidential Campaign 2016. Review of Economics and Political Science. 2021;6(3):235-51. doi: 10.1108/REPS-06-2019-0090.
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Copyright (c) 2025 Arash Faridi (Author); Morteza Mahmoudzadeh; Hossein Budaghi Khajeh Nobar (Author)

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