The Architecture of Service Systems as the Framework for the Definition of Service Science Scope

2009 ◽  
Vol 1 (1) ◽  
pp. 54-77 ◽  
Author(s):  
Andrew Targowski
Keyword(s):  
Service Systems ◽  
Service Science ◽  
Definition Of

The Architecture of Service Systems as the Framework for the Definition of Service Science Scope

2010 ◽  
pp. 560-582
Author(s):  
Andrew Targowski
Keyword(s):  
User Interface ◽  
Service User ◽  
Service System ◽  
Enterprise Systems ◽  
Service Systems ◽  
Service Science ◽  
Systems Architecture ◽  
Level Of Involvement ◽  
Definition Of ◽  
Generic Service

The purpose of this study is to define generic service processes, their system, and a scope of service science developed originally by the author. In the presented approach, the main criterion is the class of serviced users, since this leads to the six kinds of process recognition and eventually helps in planning e-service systems’ architecture. E-service system (e-SS) is defined as a mission-goal-strategy-driven configuration of technology, organizational processes and networks designed to deliver HTservicesTH that satisfy the needs, wants, or aspirations of customers. Marketing, operations, and global environment considerations have significant implications for the design of an e-service system. Four criteria which impact e-service systems’ architecture have been defined as: service business model, customer contact and level of involvement (Service User Interface), service provider’s enterprise complexity (Enterprise Systems and Networks), and scope of goods involved in service. It was proved that the e-service system is the intermediary layer between Service User Interface and Enterprise Systems and Networks. Two examples of e-SS have been modeled.

The Architecture of Service Systems as the Framework for the Definition of Service Science Scope

2011 ◽  
pp. 55-75 ◽  
Author(s):  
Andrew Targowski
Keyword(s):  
User Interface ◽  
Service User ◽  
Service System ◽  
Enterprise Systems ◽  
Service Systems ◽  
Service Science ◽  
Systems Architecture ◽  
Level Of Involvement ◽  
Definition Of ◽  
Generic Service

The purpose of this study is to define generic service processes, their system, and a scope of service science developed originally by the author. In the presented approach, the main criterion is the class of serviced users, since this leads to the six kinds of process recognition and eventually helps in planning e-service systems’ architecture. E-service system (e-SS) is defined as a mission-goal-strategy-driven configuration of technology, organizational processes and networks designed to deliver HTservicesTH that satisfy the needs, wants, or aspirations of customers. Marketing, operations, and global environment considerations have significant implications for the design of an e-service system. Four criteria which impact e-service systems’ architecture have been defined as: service business model, customer contact and level of involvement (Service User Interface), service provider’s enterprise complexity (Enterprise Systems and Networks), and scope of goods involved in service. It was proved that the e-service system is the intermediary layer between Service User Interface and Enterprise Systems and Networks. Two examples of e-SS have been modeled.

scholarly journals Definition of an Approach for the Development of Product-Service Systems

Procedia CIRP ◽  
2015 ◽  
Vol 30 ◽  
pp. 18-23 ◽  
Author(s):  
Uwe Moser ◽  
Sebastian Maisenbacher ◽  
Daniel Kasperek ◽  
Maik Maurer
Keyword(s):  
Service Systems ◽  
Product Service ◽  
Definition Of ◽  
Product Service Systems

Network Management and Service Systems

2015 ◽  
Vol 28 (1) ◽  
pp. 38-56 ◽  
Author(s):  
Rainer Alt ◽  
Clemens Eckert ◽  
Thomas Puschmann
Keyword(s):  
Network Management ◽  
Service Providers ◽  
Service System ◽  
Financial Service ◽  
Service Systems ◽  
Service Science ◽  
Support Network ◽  
Value Chains ◽  
Dynamic Configuration ◽  
Oriented Research

Service science views companies as service system entities that interact with other entities to create value. In today's networked value chains competition is no longer among companies, but among networks that may be regarded as service ecologies. Following service science each entity comprises a dynamic configuration of resources and structures, thus a variety of design aspects needs alignment within these ecologies. To manage service ecologies this article suggests to link insights from network management with service science. A multi-dimensional framework consistently describes the organizational aspects of network management among service system entities as well as the required processes to align activities between service system entities and the possible information systems to support network management. The framework emerged from a design-oriented research project based on eleven interviews with managers from financial service providers in Germany and Switzerland.

Service Science and Automation Laws

2009 ◽  
pp. 254-276 ◽  
Author(s):  
Andrew Targowski
Keyword(s):  
System Approach ◽  
Systems Design ◽  
User Involvement ◽  
Service Systems ◽  
Service Science ◽  
System Structure ◽  
New Information ◽  
The Difference ◽  
Systems Architectures ◽  
Generic Service

The purpose of this chapter is to define a scope of service science and service automation in service economy based on ideal generic service systems originally developed by the author. There are two goals of this study: 1) to develop generic service categories and their generic systems, and 2) to define a scope of service science based upon the presented generic models of service systems, which determine the required support from emerging system science. The research methodology is based on the architectural modeling according the paradigm of enterprise-wide systems (Targowski, 2003). The architectural system approach is based on the philosophy of the system approach (Klir, 1985), and management cybernetics (Beer, 1981) which provide comprehensive and cohesive solutions to the problems of systems design, thus eliminating the fuziveness of the “application portfolio” and the “information archipelago” (McFarlan, 1981; Targowski, 1990). The mission of the architectural system approach is to find the ultimate synthesis of the whole system structure that involves appropriate logic, appropriate technological accommodation, operational quality, a positive user involvement, and co-existence with nature (Targowski, 1990). In its nature, the architectural system approach is of deductive rather than inductive nature. It looks for the ideal model of a solution, which in practice is far away from its perfect level. The difference between the architectural system approach and the engineering approach is in the level of abstraction. The architectural models are more conceptual whereas engineering outcomes are more technical and specific. The architectural system approach is the response to the complexity of expected outcomes. Prior to spending a few million dollars for a new information system, one must provide its information architecture and the business and social implications associated with it (Targowski, 2003). In this sense, this study will define service systems’ architectures.

Productivity and Innovation in Services

2012 ◽  
pp. 170-183 ◽  
Author(s):  
Aleksandar Ivanovic ◽  
Leonora Fuxman
Keyword(s):  
Service Industry ◽  
Well Being ◽  
Service Systems ◽  
Service Science ◽  
Service Development ◽  
Service Networks ◽  
Services Research ◽  
Service Culture ◽  
Efficiency And Effectiveness ◽  
Service Infusion

A multidisciplinary approach to service science is necessary in order to study, design, improve, and manage service systems and processes in such a way that they add as much value as possible to their customers. It creates the need for service industry transformation, services innovations, and increasing services quality, productivity, efficiency, and effectiveness. Technology leveraging is identified as the key force enabling the advancement in all three main areas of services research. Its strategic priorities include encouraging service infusion and growth, improving well-being through transformative service, creating and maintaining true and sustained service culture. Service development requires stimulating service innovations, enhancing service design, and optimizing service networks and value chains. Finally, better service implementation encompasses effective branding and selling services, enhancing the service experience through value co-creation, as well as measuring and optimizing the value of services.

Service Science

2012 ◽  
Vol 4 (3) ◽  
pp. 51-69 ◽  
Author(s):  
Noel Carroll ◽  
Ita Richardson ◽  
Eoin Whelan
Keyword(s):  
Network Theory ◽  
Service System ◽  
Actor Network Theory ◽  
Service Systems ◽  
Service Science ◽  
Service Networks ◽  
Specific Service ◽  
Technological Factors ◽  
Service Environment ◽  
System Reconfiguration

Service comprise of socio-technical (human and technological) factors which exchange various resources and competencies. Service networks are used to transfer resources and competencies, yet they remain an underexplored and ‘invisible’ infrastructure. Service networks become increasingly complex when technology is implemented to execute specific service processes. This ultimately adds to the complexity of a service environment, making it one of the most difficult environments to examine and manage. In addition, although the emerging paradigm of ‘Service Science’ calls for more theoretical focus on understanding complex service systems, few efforts have surfaced which apply a new theoretical lens on understanding the underlying trajectories of socio-technical dynamics within a service system. This paper presents a literature review on Actor-Network Theory (ANT) and discusses how it may be employed to examine the socio-technical nature of service networks. ANT offers a rich vocabulary to describe the interplay of socio-technical dynamics which influence the service system reconfiguration. Thus, this paper offers a discussion on how ANT may be employed to examine the complexity of service systems and service innovation.

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