A case for service systems engineering

2003 ◽  
Vol 12 (1) ◽  
pp. 13-38 ◽  
Author(s):  
James M. Tien ◽  
Daniel Berg
2018 ◽  
Vol 60 (5) ◽  
pp. 373-375 ◽  
Author(s):  
Tilo Böhmann ◽  
Jan Marco Leimeister ◽  
Kathrin Möslein

Author(s):  
Monica Dragoicea ◽  
Joao Falcao e Cunha ◽  
Monica Viorela Alexandru ◽  
Denisa Andreea Constantinescu

This chapter discusses the development of improved citizen services taking into consideration integration of agent-based modelling and simulation experience into conceiving, design and implementation activities with a strong focus on technology enabled service systems. Service design is formalized here towards the integration of customer experience, validated through service interaction modelling. Integration of user experience at design stage in the value co-creation process is a possible immediate evolution direction of projects in the Smarter Cities perspective. Guidelines for integrating a modelling and simulation perspective in service design are presented along with the Socio-Technical Systems Engineering process. The case study presented here is dedicated to Smart Transport. The chapter opens a larger discussion on specific research directions and knowledge transfer related to Smart Transport as highlighted in EU projects.


Author(s):  
Jens Poeppelbuss ◽  
Martin Ebel ◽  
Jürgen Anke

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.


2019 ◽  
Vol 26 (1) ◽  
pp. 69-69
Author(s):  
Nicole M. Radziwill

2020 ◽  
Vol 30 (1) ◽  
pp. 483-498
Author(s):  
Hugo‐Guillermo Chalé‐Góngora ◽  
Pierre‐Olivier Robic ◽  
Danilo Beuche

2017 ◽  
pp. 273-301
Author(s):  
Motohisa Funabashi

Systems engineering has a long history with myriads of successful accomplishments. Systems thinking and engineering methodologies are reviewed in this chapter and are reorganized for service systems engineering. The effectiveness and significance of the reorganized methodology is demonstrated in an exemplary problem on service system conceptualization that is widely required to attain a sustainable society. The reorganized systems engineering methodology leads to a new systems science that is emerging (i.e., transdisciplinary science and technology).


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