How AI encourages consumers to share their secrets? The role of anthropomorphism, personalisation, and privacy concerns and avenues for future research

Kronemann, Bianca; Kizgin, Hatice; Rana, Nripendra; Dwivedi, Yogesh K.

Abstract

Purpose: This paper aims to explore the overall research question “How can artificial intelligence (AI) influence consumer information disclosure?”. It considers how anthropomorphism of AI, personalisation and privacy concerns influence consumers’ attitudes and encourage disclosure of their private information. Design/methodology/approach: This research draws upon the personalisation-privacy paradox (PPP) and privacy calculus theory (PCT) to address the research question and examine how AI can influence consumer information disclosure. It is proposed that anthropomorphism of AI and personalisation positively influence consumer attitudes and intentions to disclose personal information to a digital assistant, while privacy concerns negatively affect attitude and information disclosure. Findings: This paper develops a conceptual model based on and presents seven research propositions (RPs) for future research. Originality/value: Building upon PPP and PCT, this paper presents a view on the benefits and drawbacks of AI from a consumer perspective. This paper contributes to literature by critically reflecting upon on the question how consumer information disclosure is influenced by AI. In addition, seven RPs and future research areas are outlined in relation to privacy and consumer information disclosure in relation to AI.

Citation

Kronemann, B., Kizgin, H., Rana, N., & Dwivedi, Y. K. (2023). How AI encourages consumers to share their secrets? The role of anthropomorphism, personalisation, and privacy concerns and avenues for future research. Spanish Journal of Marketing - ESIC, https://doi.org/10.1108/SJME-10-2022-0213

• Journal Article Type: Article
• Acceptance Date: Nov 25, 2022
• Publication Date: Jan 13, 2023
• Deposit Date: Jan 25, 2023
• Publicly Available Date: Jan 27, 2023
• Journal: Spanish Journal of Marketing - ESIC
• Electronic ISSN: 2444-9709
• Publisher: Emerald
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1108/SJME-10-2022-0213
• Public URL: https://hull-repository.worktribe.com/output/4187366