Human–AI resource relations in value cocreation in service ecosystems

Valtteri Kaartemo, Anu Helkkula*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Purpose: Applications of artificial intelligence (AI), such as virtual and physical service robots, generative AI, large language models and decision support systems, alter the nature of services. Most service research centers on the division between human and AI resources. Less attention has been paid to analyzing the entangled resource relations and interactions between humans and AI entities. Thus, the purpose of this paper is to extend our metatheoretical understanding of resource integration and value cocreation by analyzing different human–AI resource relations in service ecosystems.
Design/methodology/approach: The conceptual paper adapts a novel framework from postphenomenology, specifically cyborg intentionality. This framework is used to analyze what kinds of human–AI resource relations enable resource integration and value cocreation in service ecosystems.
Findings: We conceptualize seven different human–AI resource relations, namely background, embodiment, hermeneutic, alterity, cyborg, immersion and composite relation. The sociotechnical entangled perspective on human–AI resource relations challenges and reframes our understanding of interactions between humans and nonhumans in resource integration and value cocreation and the distinction between operant and operand resources in service research.
Originality/value: Our primary contribution to researchers and service providers is dissolving the distinction between operant and operand resources. We present two foundational propositions. 1. Humans and AI become entangled value cocreating resources in inherently sociotechnical service ecosystems; and 2. Human and AI entanglements in value cocreation manifest through seven resource relations in inherently sociotechnical service ecosystems. Understanding the combinatorial potential of different human–AI resource relations enables service providers to make informed choices in service ecosystems.

Original languageEnglish
Peer-reviewed scientific journalJournal of Service Management
ISSN1757-5818
DOIs
Publication statusPublished - 28.05.2024
MoE publication typeA1 Journal article - refereed

Keywords

  • 512 Business and Management
  • Artificial intelligence
  • Cocreation
  • Postphenomenology
  • Resource
  • Service ecosystem
  • Value

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