Towards a triadic service intelligence framework: integrating AI, human, and emotional intelligence as dynamic capabilities

This study proposes the Service Intelligence Model, a triadic framework explaining how artificial (AI), human (HI), and emotional intelligence (EI) jointly strengthen customer engagement and perceived service quality. Based on a literature review and interviews with senior informants from five service firms, findings position AI as an organisational information-system capability enhancing responsiveness, personalisation, and precision. HI and EI remain essential for contextual interpretation, adaptation, and emotional connection. Engagement depends on employees leveraging AI synergistically and is linked to improved service quality. The study contributes to information systems and service literature by showing how hybrid AI-human systems co-create customer value.

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Publication Details

Journal
Enterprise Information Systems
Published
2026-10-27
DOI
https://doi.org/10.1080/17517575.2026.2750208
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Towards a triadic service intelligence framework: integrating AI, human, and emotional intelligence as dynamic capabilities

Rupak Rauniar, Amaani Rauniar, Steve B. Zhou
4 links
Enterprise Information Systems
AI in Service Interactions
article

Towards a triadic service intelligence framework: integrating AI, human, and emotional intelligence as dynamic capabilities

Rupak Rauniar, Amaani Rauniar, Steve B. Zhou
article en

Abstract

This study proposes the Service Intelligence Model, a triadic framework explaining how artificial (AI), human (HI), and emotional intelligence (EI) jointly strengthen customer engagement and perceived service quality. Based on a literature review and interviews with senior informants from five service firms, findings position AI as an organisational information-system capability enhancing responsiveness, personalisation, and precision. HI and EI remain essential for contextual interpretation, adaptation, and emotional connection. Engagement depends on employees leveraging AI synergistically and is linked to improved service quality. The study contributes to information systems and service literature by showing how hybrid AI-human systems co-create customer value.

Enterprise Information Systems
University of Houston - Downtown (US), Indiana University Bloomington (US)
Openalex Percentile: Top 13%
AI in Service Interactions
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Towards a triadic service intelligence framework: integrating AI, human, and emotional intelligence as dynamic capabilities — Rupak Rauniar, Amaani Rauniar, et al. · Enterprise Information Systems (2026) | TGRS Research Map | TGRS