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.

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.

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.

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.

scholarly journals A Service Science Perspective on Resilience of Service Organisations

2021 ◽  
Vol 38 ◽  
pp. 02002
Author(s):  
Thang Le Dinh ◽  
Thanh Thoa Pham Thi ◽  
Nguyen Anh Khoa Dam ◽  
William Menvielle
Keyword(s):  
Service System ◽  
Crisis Response ◽  
Service Systems ◽  
Service Science ◽  
Business Services ◽  
Service Levels ◽  
Different Types ◽  
Science And Politics ◽  
Levels Of Service

Nowadays, different types of unexpected turbulence and disruptions lead to challenges and changing conditions of the environment that organisations operate. The previous studies related to crisis response or service recovery have addressed many aspects of the governance of an organisation in reacting to crisis or failure situations, including innovation and bureaucracy, science and politics, and decision-making speed. However, there is still little attention on supporting service organisations to revise and adapt their business services in a coherent manner to overcome the challenges from disruptive events. In order to improve organisational resilience, this paper presents an approach based on the service science perspective for service organisations to adapt their services at the three levels of service science, including the network of service systems, service system, and service levels. The paper also presents a case study of using the proposed approach in cultural organisations and ends with a discussion and some conclusions.

Value-Oriented Specification of Service Systems

2015 ◽  
Vol 7 (1) ◽  
pp. 60-81 ◽  
Author(s):  
João Pombinho ◽  
David Aveiro ◽  
José Tribolet
Keyword(s):  
Future Development ◽  
Service System ◽  
State Of The Art ◽  
Service Systems ◽  
Service Science ◽  
Value Chains ◽  
Enterprise System ◽  
Enterprise Engineering ◽  
Business Modeling ◽  
Main Shortcoming

In this paper, we analyze relevant state of the art in the areas of Service Science, Business Modeling and Enterprise Engineering in specifying service systems. The main shortcoming identified essentially resides in the lack of capability to model the purpose and value of a given service system in a structured way to guide current and future development efforts. In order to address these issues, our research focuses on modeling enterprises as service systems along three perspectives, namely: construction, function and contribution to differentiate and integrate their teleological and ontological models. With the proposed approach, we are able to clearly specify how each component of an enterprise system provides a service – thus value – to other components of the same system or of the environment along different, possibly intertwining and overlapped value chains.

The Design of Service Systems Architecture for Building Smart Public Infrastructures

2014 ◽  
pp. 220-235
Author(s):  
Katsumi Kawano
Keyword(s):  
Decision Making ◽  
Business Process ◽  
System Architecture ◽  
Service System ◽  
Information Service ◽  
Service Systems ◽  
Design Approach ◽  
Reference Architecture ◽  
Systems Architecture ◽  
Information Changing

This chapter shows a systems technologies framework to lead the approach to design information service system architecture standing on the systems concept. It also presents application examples for building smart public infrastructures. Moreover, it shows that a systems concept, autonomous decentralization, gives a consistent design approach for the reference architecture, the concrete architecture, and the implementation. The presented service system provides an autonomous process for a service receiver to get valued information changing the state of the receiver. The example of the service system provides, recursively, the information to see in smart public infrastructures (MIERUKA in Japanese) for rapid decision making among stakeholders in the business process.

On the Transition of Service Systems from the Good-Dominant Logic to Service-Dominant Logic

2014 ◽  
Vol 7 (2) ◽  
pp. 1-19
Author(s):  
Carlos Legna Verna ◽  
Miroljub Kljajić
Keyword(s):  
Value Creation ◽  
Service System ◽  
Service Systems ◽  
Service Dominant Logic ◽  
Strategic Issues ◽  
Dominant Logic ◽  
New Class ◽  
Social Value Creation ◽  
Definition Of ◽  
Main Ideas

A review of some main ideas of the Service-Dominant logic is made with the intention of proposing reinterpretations on strategic issues and connections to other disciplines. Analysis of leading ideas of the Good-Dominant Logic and its transition to the Service-Dominant Logic is made. The authors reinterpret the definition of a Service System (SS) and show that Service Systems create new value as well as destroy it. A new class of value creation (or destruction), called “social value creation (or destruction)”, is introduced. Finally, the authors propose strategic issues that logically arise from their analyses, which are essential for the design of public policies. The authors also detect “windows” of connection of the Service System with other fields, especially with system dynamics methodology.

The Design of Service Systems Architecture for Building Smart Public Infrastructures

2016 ◽  
pp. 503-518
Author(s):  
Katsumi Kawano
Keyword(s):  
Decision Making ◽  
Business Process ◽  
System Architecture ◽  
Service System ◽  
Information Service ◽  
Service Systems ◽  
Design Approach ◽  
Reference Architecture ◽  
Systems Architecture ◽  
Information Changing

This chapter shows a systems technologies framework to lead the approach to design information service system architecture standing on the systems concept. It also presents application examples for building smart public infrastructures. Moreover, it shows that a systems concept, autonomous decentralization, gives a consistent design approach for the reference architecture, the concrete architecture, and the implementation. The presented service system provides an autonomous process for a service receiver to get valued information changing the state of the receiver. The example of the service system provides, recursively, the information to see in smart public infrastructures (MIERUKA in Japanese) for rapid decision making among stakeholders in the business process.

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