A framework for AI-driven value co-creation across customer journey stages

Chandra, Baby and Rahman, Zillur (2026) A framework for AI-driven value co-creation across customer journey stages. Service Industries Journal. pp. 1-31. ISSN 0264-2069 (In Press)

[thumbnail of A framework for AI-driven value co-creation across customer journey stages.pdf] Text
A framework for AI-driven value co-creation across customer journey stages.pdf - Published Version
Restricted to Repository staff only

Download (2MB) | Request a copy

Abstract

The integration of Artificial Intelligence (AI) is transforming how firms and customers co-create value across the customer journey, enabling innovative, personalized, and relationship-driven interactions. This paper introduces a conceptual framework that extends the traditional customer journey model through AI-driven value co-creation (VCC) across the pre-purchase, purchase, and post-purchase stages. The framework distinguishes traditional journey from AI-enhanced co-creation by classifying AI functionalities into mechanical, thinking, and feeling dimensions, each linked to functional, emotional, and social value. Drawing on service marketing, consumer behaviour, and contemporary theories such as anthropomorphism, psychological ownership, and Theory of Mind, this study offers a robust perspective on AI’s role in VCC. Mechanical AI enhances efficiency and functional value, thinking AI enables adaptive emotional engagement, and feeling AI fosters social connection through humanlike traits. This integrated approach addresses key research gaps and provides actionable insights for leveraging AI to create meaningful, customer-centric value.

Item Type: Article
Keywords: Value | value co-creation | customer journey | artificial intelligence
Subjects: Social Sciences and humanities > Business, Management and Accounting > Marketing
JGU School/Centre: Jindal Global Business School
Depositing User: Mr. Luckey Pathan
Date Deposited: 21 Jan 2026 05:47
Last Modified: 21 Jan 2026 05:47
Official URL: https://doi.org/10.1080/02642069.2026.2612702
URI: https://pure.jgu.edu.in/id/eprint/10702

Downloads

Downloads per month over past year

Actions (login required)

View Item
View Item