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Exploring the influence of artificial intelligence technology on consumer repurchase intention: The mediation and moderation approach

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  • Nazir, Sajjad
  • Khadim, Sahar
  • Ali Asadullah, Muhammad
  • Syed, Nausheen

Abstract

Digital technologies have dramatically changed business practices and consumer buying behavior. This study integrates artificial intelligence technology, consumer engagement on social media, conversion rate optimization, and satisfying consumer experience to examine consumer repurchase intentions in the hospitality industry. Data was collected from 308 hotel customers from different regions of Oman who had an online hotel booking experience. SmartPLS was used to examine the data and proposed hypotheses. The findings of this study revealed that artificial intelligence technology positively influences consumer engagement on social media and conversion rate optimization. Similarly, consumer engagement on social media and conversion rate positively influence satisfying consumer experience, leading to increased consumer repurchase intentions. Finally, consumer habit positively moderates the relationship between satisfying consumer experience and repurchase intention. This study facilitated the understanding of artificial intelligence technology to influence consumer engagement on social media and conversion rate to boost consumer satisfaction and repurchase intention and offers suggestions for developing impeccable service business strategies. Marketers must think about making posts more interesting through videos, images, and animations, which will satisfy consumers, ultimately boosting their desire to use, share, and generate content on social media platforms for hospitality organizations.

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  • Nazir, Sajjad & Khadim, Sahar & Ali Asadullah, Muhammad & Syed, Nausheen, 2023. "Exploring the influence of artificial intelligence technology on consumer repurchase intention: The mediation and moderation approach," Technology in Society, Elsevier, vol. 72(C).
    • Handle: RePEc:eee:teinso:v:72:y:2023:i:c:s0160791x22003311
    DOI: 10.1016/j.techsoc.2022.102190
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