Exploring AI technology and consumer behavior in retail interactions
Year: 2024
Type: article
Abstract: This research systematically reviews artificial intelligence (AI) effects in customer‐interfacing retail applications based on an ecosystem value co‐creation framework. We conduct a bibliometric and conceptual mapping analysis study, focusing on AI‐related implications for consumers' and other stakeholders' well‐being, social interaction, and societal welfare. A co‐citation network visualization of critical AI journal articles is generated, and a network visualization of AI keyword relationships and clustered topic areas is presented and discussed, along with a conceptual map of the relationships between key concepts and substantive AI themes. In an ecosystem context, the multidisciplinary‐based bibliometric and conceptual mapping findings of our analysis reflect the need to focus not only on the positive and negative effects on stakeholder well‐being, social interaction, and societal welfare but also on how effects created in one of these levels impact the value created in the other social layers. Furthermore, the interdisciplinary characteristics necessary in effectively implementing and managing AI technologies emphasize the need for collaboration among multiple organizational departments, technology partners, and other members of the business ecosystem. The findings of this research contribute to assessing both the positive and negative effects of AI and allow for its implementation in a way that is helpful to organizations, employees, consumers, and society. This study should also help managers decide which situations are best suited for using AI and which are not.
Source: Journal of Consumer Behaviour
DOI: 10.1002/cb.2386
Language: English
Topic: AI in Service Interactions
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4402135232