In today’s VUCA world, that is characterized by high volatility, uncertainty, complexity and ambiguity, service provisioning is required to realize flexible and adaptable reconfiguration of service delivery systems and its stakeholders’ resources. However, services are often embedded in greater service systems and the context information of both customer and service provider form both its boundary conditions the suitable solution service. To capture the complexity and leverage the dynamic of service systems, we propose the formal service system model (SSM) method. Following general systems theory, we define boundaries for service delivery and show SSM’s applicability for ad-hoc service operations. We show its usefulness for structuring a service system for service operations, specifically scheduling, planning, and pricing of service provisioning. We contribute to service systems engineering by applying one generalizable mathematical model for both structuring and operationalizing service systems and provide insights in-to capturing the complex relationships of its components
%0 Conference Paper
%1 ls_leimeister
%A Li, Mahei Manhai
%A Peters, Christoph
%A Leimeister, Jan Marco
%D 2020
%J Hawaii International Conference on System Sciences (HICSS)
%K Service_Science _model hypergraph non-dyadic pub_cpe pub_hiss pub_mli service_delivery_network service_system service_systems show_less
%R 10.24251/HICSS.2020.197
%T Moving towards a Non-Dyadic View on Service Systems and its Operationalization – Applying the Hypergraph-based Service System Model
%U http://pubs.wi-kassel.de/wp-content/uploads/2020/03/JML_771.pdf
%X In today’s VUCA world, that is characterized by high volatility, uncertainty, complexity and ambiguity, service provisioning is required to realize flexible and adaptable reconfiguration of service delivery systems and its stakeholders’ resources. However, services are often embedded in greater service systems and the context information of both customer and service provider form both its boundary conditions the suitable solution service. To capture the complexity and leverage the dynamic of service systems, we propose the formal service system model (SSM) method. Following general systems theory, we define boundaries for service delivery and show SSM’s applicability for ad-hoc service operations. We show its usefulness for structuring a service system for service operations, specifically scheduling, planning, and pricing of service provisioning. We contribute to service systems engineering by applying one generalizable mathematical model for both structuring and operationalizing service systems and provide insights in-to capturing the complex relationships of its components
%@ 978-0-9981331-3-3
@inproceedings{ls_leimeister,
abstract = {In today’s VUCA world, that is characterized by high volatility, uncertainty, complexity and ambiguity, service provisioning is required to realize flexible and adaptable reconfiguration of service delivery systems and its stakeholders’ resources. However, services are often embedded in greater service systems and the context information of both customer and service provider form both its boundary conditions the suitable solution service. To capture the complexity and leverage the dynamic of service systems, we propose the formal service system model (SSM) method. Following general systems theory, we define boundaries for service delivery and show SSM’s applicability for ad-hoc service operations. We show its usefulness for structuring a service system for service operations, specifically scheduling, planning, and pricing of service provisioning. We contribute to service systems engineering by applying one generalizable mathematical model for both structuring and operationalizing service systems and provide insights in-to capturing the complex relationships of its components},
added-at = {2020-01-08T23:45:32.000+0100},
author = {Li, Mahei Manhai and Peters, Christoph and Leimeister, Jan Marco},
biburl = {https://www.bibsonomy.org/bibtex/232593f0f6f4aac529df78e9466cb72a3/ls_leimeister},
doi = {10.24251/HICSS.2020.197},
eventtitle = {Hawaii International Conference on System Sciences (HICSS)},
interhash = {ea4549bfbe032cb5df38eb7bb3c35a61},
intrahash = {32593f0f6f4aac529df78e9466cb72a3},
isbn = {978-0-9981331-3-3},
journal = {Hawaii International Conference on System Sciences (HICSS)},
keywords = {Service_Science _model hypergraph non-dyadic pub_cpe pub_hiss pub_mli service_delivery_network service_system service_systems show_less},
timestamp = {2021-07-14T09:12:50.000+0200},
title = {Moving towards a Non-Dyadic View on Service Systems and its Operationalization – Applying the Hypergraph-based Service System Model},
url = {http://pubs.wi-kassel.de/wp-content/uploads/2020/03/JML_771.pdf},
year = 2020
}