Aller directement au contenu principal

Rédiger un PREreview

Beyond the Automation–Warmth Trade-Off: How Human–AI Service Configurations Shape Relational Value in Hospitality-A Critical Integrative Literature Review and Multi-Level Conceptual Framework

Publié
Serveur de preprints
Preprints.org
DOI
10.20944/preprints202610.2963.v1

Frontline artificial intelligence (AI) and service robotics are fundamentally transforming hospitality service encounters from traditional human-dominated touchpoints into complex, technology-infused service ecosystems. However, hospitality managers face a strategic paradox: balancing operational efficiency against relational value co-creation. Guided by Torraco's integrative review methodology, this study systematically synthesizes 29 primary source studies published across premier service management, marketing, and hospitality journals from 2004 to 2025 to reconceptualize how human–AI frontline configurations shape customer relationships. It unifies four complementary theoretical lenses: Service-Dominant Logic, Automated Social Presence Theory, the Stereotype Content Model, and the Four Intelligences Framework. It establishes a structural taxonomy of frontline configurations: AI-Led Substitution, AI-Augmented Hybrid, and Human-Led AI-Mediated encounters, and resolves three persistent empirical paradoxes. First, service robots significantly mitigate customer discomfort during awkward, embarrassing, or evaluative encounters by eliminating metaperception processing (judgment anxiety). Second, high robotic social presence is attenuated in the direct co-presence of human staff due to relative social cognition comparison penalties. Third, AI augmentation enhances customer-perceived warmth only when organizational systems convert automated time-savings into employee discretionary decision autonomy; using efficiency gains to accelerate guest throughput quotas triggers technostress, emotional exhaustion, and surface acting. Synthesizing these cognitive, affective, and organizational mechanisms into an integrative conditional process model, the study formulates six testable theoretical propositions and delineates a multi-level boundary condition matrix spanning task intelligence tiers, customer technology readiness, employee workload density, and hotel service tiers. Methodological and theoretical future research agendas are established alongside four strategic managerial directives for frontline service ecosystem design in the machine age.

Vous pouvez rédiger un PREreview de Beyond the Automation–Warmth Trade-Off: How Human–AI Service Configurations Shape Relational Value in Hospitality-A Critical Integrative Literature Review and Multi-Level Conceptual Framework. Un PREreview est une évaluation d'un preprint et peut varier de quelques phrases à un rapport détaillé, semblable à un rapport d'évaluation par les pairs organisé par une revue.

Avant de commencer

Nous vous demanderons de vous connecter avec votre identifiant ORCID iD. Si vous n'en avez pas, vous pouvez en créer un.

Qu’est-ce qu’un ORCID iD ?

Un ORCID iD est un identifiant unique qui vous distingue de toute personne ayant le même nom ou nom similaire.

Commencer maintenant