scholarly journals Editorial—Smart Service Systems, Human-Centered Service Systems, and the Mission ofService Science

2015 ◽  
Vol 7 (2) ◽  
pp. ii-iii ◽  
Author(s):  
Paul P. Maglio
Keyword(s):  
Service Systems ◽  
Smart Service

The different shades of innovation emergence in smart service systems: the case of Italian cluster for aerospace technology

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Orlando Troisi ◽  
Anna Visvizi ◽  
Mara Grimaldi
Keyword(s):  
New Technologies ◽  
Service Systems ◽  
Constructivist Grounded Theory ◽  
Structured Interviews ◽  
Social Rules ◽  
Content Type ◽  
Novel Technologies ◽  
Aerospace Technology ◽  
Smart Service ◽  
Relational Strategies

Purpose The purpose of this paper is to explore the emergence of innovation in smart service systems to conceptualize how actor’s relationships through technology-enabled interactions can give birth to novel technologies, processes, strategies and value. The objectives of the study are: to detect the different enablers that activate innovation in smart service systems; and to explore how these can lead dynamically to the emergence of different innovation patterns. Design/methodology/approach The empirical research adopts an approach based on constructivist grounded theory, performed through observation and semi-structured interviews to investigate the development of innovation in the Italian CTNA (Italian acronym of National Cluster for Aerospace Technology). Findings The identification and re-elaboration of the novelties that emerged from the analysis of the Cluster allow the elaboration of a diagram that classifies five different shades of innovation, introduced through some related theoretical propositions: technological; process; business model and data-driven; social and eco-sustainable; and practice-based. Originality/value The paper embraces a synthesis view that detects the enabling structural and systems dimensions for innovation (the “what”) and the way in which these can be combined to create new technologies, resources, values and social rules (the “how” dimension). The classification of five different kinds of innovation can contribute to enrich extant research on value co-creation and innovation and can shed light on how given technologies and relational strategies can produce varied innovation outcomes according to the diverse stakeholders engaged.

scholarly journals Capturing smart service systems: Development of a domain‐specific modelling language

2019 ◽  
Vol 29 (6) ◽  
pp. 1207-1255 ◽  
Author(s):  
Rocco Xaver Richard Huber ◽  
Louis Christian Püschel ◽  
Maximilian Röglinger
Keyword(s):  
Systems Development ◽  
Service Systems ◽  
Modelling Language ◽  
Domain Specific ◽  
Smart Service

Semantic Interoperability Methods for Smart Service Systems: A Survey

2019 ◽  
pp. 1-15 ◽  
Author(s):  
Fabian Burzlaff ◽  
Nils Wilken ◽  
Christian Bartelt ◽  
Heiner Stuckenschmidt
Keyword(s):  
Semantic Interoperability ◽  
Service Systems ◽  
Smart Service

scholarly journals Iterative uncertainty reduction in multi-actor smart service innovation

2021 ◽  
Author(s):  
Jens Poeppelbuss ◽  
Martin Ebel ◽  
Jürgen Anke
Keyword(s):  
Systems Engineering ◽  
Service Innovation ◽  
Uncertainty Reduction ◽  
Service Systems ◽  
Systems Research ◽  
Information Systems Research ◽  
Perspective Drawing ◽  
Smart Service ◽  
Innovation Processes ◽  
Multiple Actors

AbstractSmart service innovation is the process of reconfiguring resources, structures, and value co-creation processes in service systems that result in novel data-driven service offerings. The nature of such offerings requires the involvement of multiple actors, which has been investigated by a few studies only. In particular, little is known about the multiple actors’ efforts to manage uncertainty in the process of establishing smart service systems. Empirically grounded in data from 25 interviews with industry experts, we explore how organizations act and interact in smart service innovation processes. For our data analysis, we adopt a microfoundational view to derive a theoretical model that conceptualizes actor engagement as a microfoundation for iterative uncertainty reduction in the actor-to-actor network of the smart service system. Our study contributes to information systems research on service systems engineering and digital transformation by explaining smart service innovation from both a multi-actor and a multi-level perspective, drawing on service-dominant (S-D) logic and microfoundations as well-established theoretical lenses.

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