Journal of service management · 2019 · 363 citations · 96 references
ComputingInformation SystemsInformation TechnologyArtificial IntelligenceInternet Of ThingsService DesignFrontline Service ManagementService InnovationArtificial Intelligence LiteratureBlockchain ApplicationsCommunication In Service EncountersConnected ServicesConversational AgentsFrontline Employee-customer InteractionFrontline Service DesignStructural Archetypes
Purpose Smart technologies and connected objects are rapidly changing the organizational frontline. Yet, our understanding of how these technologies infuse service encounters remains limited. Therefore, the purpose of this paper is to update existing classifications of Frontline Service Technology (FST) infusion. Moreover, the authors discuss three promising smart and connected technologies – conversational agents, extended reality (XR) and blockchain technology – and their respective implications for customers, frontline employees and service organizations. Design/methodology/approach This paper uses a conceptual approach integrating existing work on FST infusion with artificial intelligence, robotics, XR and blockchain literature, while also building on insights gathered through expert interviews and focus group conversations with members of two service research centers. Findings The authors define FST and propose a set of FST infusion archetypes at the organizational frontline. Additionally, the authors develop future research directions focused on understanding how conversational agents, XR and blockchain technology will impact service. Originality/value This paper updates and extends existing classifications of FST, while paving the road for further work on FST infusion.
96
Artificial Intelligence in Service
Ming‐Hui Huang, Roland T. Rust · Journal of Service Research · 2018 · 3.3K citations
Management, Human Resource Management, Organizational Behavior +11
Technology Readiness Index (Tri)
A. Parasuraman · Journal of Service Research · 2000 · 3.2K citations