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Service-dominant logic for exploring modular business service system

Service-dominant logic for exploring modular business service system

Zhou, Zhenkun, Lin, Yong ORCID: 0000-0001-7118-2946 and Yue, Feng (2014) Service-dominant logic for exploring modular business service system. In: Proceedings of the 2014 IEEE International Conference on Service Operations and Logistics and Informatics. Institute of Electrical and Electronics Engineers, Inc., Piscataway, NJ, USA, pp. 108-112. ISBN 9781479960583 (doi:https://doi.org/10.1109/SOLI.2014.6960702)

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Abstract

Investigating the management of the three dimensions of modular business service system from the perspective of the service-dominant (S-D) logic. An integrated approach with an abductive research process in theory building was conducted through case study. The results show that ten foundational premises of S-D logic, especially service -focused, customer-oriented, and rational views can be applied in defining and managing the modular business service system constructed by service modularization.

Item Type: Conference Proceedings
Title of Proceedings: Proceedings of the 2014 IEEE International Conference on Service Operations and Logistics and Informatics
Additional Information: 2014 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI), 8-10 October 2014, Qingdao, China.
Uncontrolled Keywords: business service, integrated approach, research process, service modularity, service modularization, service-dominant (S-D) logic, service-dominant logic, value co creations, modular construction
Subjects: H Social Sciences > HE Transportation and Communications
Faculty / Department / Research Group: Faculty of Business > Department of Systems Management & Strategy
Faculty of Business > Supply Chain Management Research Group
Faculty of Business > Networks and Urban Systems Centre (NUSC) > Supply Chain Management Research Group
Related URLs:
Last Modified: 14 Oct 2016 09:30
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/12820

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