scholarly journals Leveraging Circular Economy through a Methodology for Smart Service Systems Engineering

2019 ◽  
Vol 11 (13) ◽  
pp. 3517 ◽  
Author(s):  
Friedrich A. Halstenberg ◽  
Kai Lindow ◽  
Rainer Stark
Keyword(s):  
Systems Engineering ◽  
Circular Economy ◽  
Service Design ◽  
Service Systems ◽  
Service Development ◽  
System Modelling ◽  
Present System ◽  
Service Architecture ◽  
Smart Services ◽  
Smart Service

Product Service Systems (PSS) and Smart Services are powerful means for deploying Circular Economy (CE) goals in industrial practices, through dematerialization, extension of product lifetime and efficiency increase by digitization. Within this article, approaches from PSS design, Smart Service design and Model-based Systems Engineering (MBSE) are combined to form a Methodology for Smart Service Architecture Definition (MESSIAH). First, analyses of present system modelling procedures and systems modelling notations in terms of their suitability for Smart Service development are presented. The results indicate that current notations and tools do not entirely fit the requirements of Smart Service development, but that they can be adapted in order to do so. The developed methodology includes a modelling language system, the MESSIAH Blueprinting framework, a systematic procedure and MESSIAH CE, which is specifically designed for addressing CE strategies and practices. The methodology was validated on the example of a Smart Sustainable Street Light System for Cycling Security (SHEILA). MESSIAH proved useful to help Smart Service design teams develop service-driven and robust Smart Services. By applying MESSIAH CE, a sustainable Smart Service, which addresses CE goals, has been developed.

Modelling and Simulation Perspective in Service Design

2017 ◽  
pp. 374-399
Author(s):  
Monica Dragoicea ◽  
Joao Falcao e Cunha ◽  
Monica Viorela Alexandru ◽  
Denisa Andreea Constantinescu
Keyword(s):  
Systems Engineering ◽  
Service Design ◽  
Modelling And Simulation ◽  
Service Systems ◽  
Design Stage ◽  
Agent Based ◽  
Strong Focus ◽  
Interaction Modelling ◽  
Technical Systems

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.

An Extensive Review of IT Service Design in Seven International ITSM Processes Frameworks

2015 ◽  
Vol 8 (1) ◽  
pp. 69-90 ◽  
Author(s):  
Manuel Mora ◽  
Jorge Marx Gomez ◽  
Rory V. O'Connor ◽  
Mahesh Raisinghani ◽  
Ovsei Gelman
Keyword(s):  
Systems Engineering ◽  
Service Management ◽  
Service Design ◽  
It Services ◽  
Service Architecture ◽  
It Service ◽  
Systemic Analysis ◽  
Management Processes ◽  
Academic Researchers ◽  
Common Purpose

The main international IT Service Management processes frameworks (ITIL v2, ISO/IEC 20000, COBIT 4.0, CMMI-SVC, MOF 4.0, and ITUP) include the design of IT services as part of their main best practices. However, despite having a common purpose and conceptual structure, they are organized differently. Hence, ITSM academic researchers and practitioners need to integrate a broad and diverse literature in relation to these frameworks. In Part I of this research, the authors pursued the goal of a descriptive-comparative analysis of fundamental concepts and IT service architecture design models used in the seven ITSM frameworks. In this paper (Part II) we complete this systemic analysis by using the ISO/IEC 15288 systems engineering standard and focusing on the IT design processes and practices reported in the aforementioned ITSM frameworks. Specifically, CMMI-SVC and ITUP are assessed in overall as the strongest frameworks from an engineering view, MOF 4.0 and ITIL v3 as moderate, and ISO/IEC 20000, ITIL v2 and COBIT as the weakest. ITSM academicians and in particular practitioners thus will need to distinguish their utilization according to the level of required detail of the IT service design process. This paper aims to advance our comprehension and understanding on the state of the art regarding what are IT services and how they can be designed. Thus it is of broad significance to ITSM researchers and practitioners.

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.

scholarly journals It Takes More than Two to Tango: Identifying Roles and Patterns in Multi-Actor Smart Service Innovation

2020 ◽  
Vol 72 (4) ◽  
pp. 599-634
Author(s):  
Jürgen Anke ◽  
Jens Poeppelbuss ◽  
Rainer Alt
Keyword(s):  
Systems Engineering ◽  
Service Innovation ◽  
Service Systems ◽  
Theoretical Understanding ◽  
Organizational Settings ◽  
Smart Products ◽  
Value Propositions ◽  
Service Ecosystems ◽  
Abstract Level ◽  
Smart Service

Abstract Smart service systems enable innovative value propositions based on smart products and data-driven value creation. Grounded in service-dominant logic as our theoretical lens, we argue that smart service innovation takes place in ecosystems of collaborating actors, as a single actor does not possess all required resources and competencies. We empirically explore smart service innovation using an interview study of 14 experts who were involved in real-world smart service systems engineering projects. As a result, we conceptualize 17 roles that describe the resources and competencies required for smart service innovation at an abstract level. Through the analysis of actor-role constellations in our sample of projects, we further identify four patterns that exhibit different strategic approaches to smart service innovation. Our results advance the theoretical understanding of smart service systems through an empirically grounded systematization of roles, which reflect the resources and competencies required for smart service innovation. With this study, we shed light on the multi-actor and inter-organizational settings of service innovation processes, which have been under-researched so far. Our insights are further helpful for practitioners, who participate in the smart service innovation and who need to analyze their strategic position in service ecosystems.

scholarly journals SemDaServ: A Systematic Approach for Semantic Data Specification of AI-Based Smart Service Systems

2021 ◽  
Vol 11 (11) ◽  
pp. 5148
Author(s):  
Maurice Preidel ◽  
Rainer Stark
Keyword(s):  
Domain Knowledge ◽  
Systematic Approach ◽  
Service Systems ◽  
Training Data ◽  
Research Approach ◽  
Model Quality ◽  
Smart Services ◽  
Smart Service ◽  
Applicability Evaluation ◽  
Data Specification

To develop smart services to successfully operate as a component of smart service systems (SSS), they need qualitatively and quantitatively sufficient data. This is especially true when using statistical methods from the field of artificial intelligence (AI): training data quality directly determines the quality of resulting AI models. However, AI model quality is only known when AI training can take place. Additionally, the creation of not yet available data sources (e.g., sensors) takes time. Therefore, systematic specification is needed alongside smart service systemsSSS development. Today, there is a lack of systematic support for specifying data relevant to smart services. This gap can be closed by realizing the systematic approach SemDaServ presented in this article. The research approach is based on Blessing’s Design Research Methodology (literature study, derivation of key factors, success criteria, solution functions, solution development, applicability evaluation). SemDaServ provides a three-step process and five accompanying artifacts. Using domain knowledge for data specification is critical and creates additional challenges. Therefore, the SemDaServ approach systematically captures and semantically formalizes domain knowledge in SysML-based models for information and data. The applicability evaluation in expert interviews and expert workshops has confirmed the suitability of SemDaServ for data specification in the context of SSS development. SemDaServ thus offers a systematic approach to specify the data requirements of smart services early on to aid development to continuous integration and continuous delivery scenarios.

Modelling and Simulation Perspective in Service Design

2018 ◽  
pp. 2312-2337
Author(s):  
Monica Dragoicea ◽  
Joao Falcao e Cunha ◽  
Monica Viorela Alexandru ◽  
Denisa Andreea Constantinescu
Keyword(s):  
Systems Engineering ◽  
Service Design ◽  
Modelling And Simulation ◽  
Service Systems ◽  
Design Stage ◽  
Agent Based ◽  
Strong Focus ◽  
Interaction Modelling ◽  
Technical Systems

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.

scholarly journals COLLABORATION IN SMART SERVICES – THE RIGHT WAY TO GO?

2018 ◽  
Author(s):  
Lucie Kanovska
Keyword(s):  
Czech Republic ◽  
Digital Technologies ◽  
Industrial Sector ◽  
European Countries ◽  
Service Development ◽  
Smart Services ◽  
The Czech Republic ◽  
Smart Service ◽  
The Right

Many current manufacturers provide not only tangible products to their customers, but also services which are accompanying their products. Moreover, manufacturers add smart services to their service offerings. Applying the change toward smart services is not easy, especially in SMEs where many of businesses struggle with lack of money, insufficient digital technologies or unskilled employees. The aim of the study mentioned in this paper explores current situation in SMEs and their attitudes related to collaboration with other subjects on their markets. To address the research objective, a qualitative multi-case study was conducted among seven Czech electrotechnical SMEs, which have already started with smart service development. The findings can indicate two approaches of collaboration based mostly on the owners’ enthusiasm for smart services, management’s age and the length of running their business. The study is unique in highlighting the problems of smart services in SMEs in the Czech Republic, where the industrial sector is still dominant in comparison to other European countries.

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