AI social-appraisal support: effect on adoption intention and value co-creation

Chandra, Baby ORCID: https://orcid.org/0000-0001-6855-5086 and Rahman, Zillur ORCID: https://orcid.org/0000-0003-2785-0200 (2026) AI social-appraisal support: effect on adoption intention and value co-creation. Marketing Intelligence & Planning. pp. 1-22. ISSN 0263-4503

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Abstract

Purpose
This research investigates how AI assistants enhance user adoption intention and value co-creation (VCC) through appraisal support, a form of social support that makes users feel valued and supported, beyond merely receiving information. It explores the psychological and behavioral impacts of AI-driven appraisal support on technology adoption.

Design/methodology/approach
Across four experimental, scenario-based studies, the research examines how AI-delivered appraisal support influences the adoption of AI services and VCC. It focuses on the mediating role of social cognition, specifically, users’ perceptions of AI warmth and competence.

Findings
The findings demonstrate that AI-delivered appraisal support significantly increases the adoption intention of AI-facilitated apps (Studies 1 and 2) and enhances value co-creation (Studies 3 and 4). Furthermore, self-efficacy is a key moderator affecting the relationship between social cognition and VCC (Study 5).

Practical implications
This research provides actionable insights for managers, suggesting the development of user-friendly features that enhance the social dimensions of human-machine interactions. Such features can boost the likelihood of adopting AI services and foster a culture of value co-creation.

Originality/value
By focusing on appraisal support, this study fills a gap in understanding the social dimensions of AI interactions. It highlights the importance of users feeling involved, cared for and respected in their interactions with AI.

Item Type: Article
Uncontrolled Keywords: AI | Social support | Appraisal support | Value co-creation | Adoption intention
Subjects: Social Sciences and humanities > Business, Management and Accounting > Business and International Management
Social Sciences and humanities > Business, Management and Accounting > General Management
Social Sciences and humanities > Business, Management and Accounting > Management Information Systems
Divisions: Jindal Global Business School
Depositing User: Mr. Arjun Dinesh
Date Deposited: 29 Mar 2026 11:30
Last Modified: 29 Mar 2026 11:30
Official URL: https://doi.org/10.1108/MIP-10-2024-0740
URI: https://pure.jgu.edu.in/id/eprint/11072

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