Key factors of service design methodology for manufacturing servitization

With progressions in technology and high demand for value, business model designs based on cooperative systems are essential for innovative manufacturing servitization. Previous studies, which focused on product innovation or specific industries, either lacked standardized steps or promoted inconsis...

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Autores principales:	Hyeog-in Kwon, Bo-Hyun Baek, Yong-Su Jeon, Ye-Lin Kim, Hwa-Bin Jung
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2021
Materias:	analytic hierarchy process (ahp) key factors manufacturing servitization industrial service innovation service design methodology Business HF5001-6182 Management. Industrial management HD28-70
Acceso en línea:	https://doaj.org/article/5f8e24755e6e4618b2872a9fb013da5a
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spelling	oai:doaj.org-article:5f8e24755e6e4618b2872a9fb013da5a2021-12-02T14:17:51ZKey factors of service design methodology for manufacturing servitization2331-197510.1080/23311975.2021.1883220https://doaj.org/article/5f8e24755e6e4618b2872a9fb013da5a2021-01-01T00:00:00Zhttp://dx.doi.org/10.1080/23311975.2021.1883220https://doaj.org/toc/2331-1975With progressions in technology and high demand for value, business model designs based on cooperative systems are essential for innovative manufacturing servitization. Previous studies, which focused on product innovation or specific industries, either lacked standardized steps or promoted inconsistent processes and tools. Therefore, an integrated, holistic evaluation for designing and using service design methodologies was essential. Examining previous research, this study derived key factors categorized through focus group interviews with 13 experts. The analytic hierarchy process was used to derive weights for each factor to rank the level of importance. The results revealed the key factors of service design methodology: utility, systematicness, innovation, and convergence. Lower factors included the applicability to reality, ease of use, representation of needs, composition feasibility, customer value scalability, industrial convergence, flexibility, output clarity, collaboration support, and business improvement. The results of this study may be used as a basis for the development and selective adoption of service design methodologies in macroscopic terms. The study provides a direction for innovation and improving business models. It also serves as an academic foundation for industrial service innovation and ecosystem creation.Hyeog-in KwonBo-Hyun BaekYong-Su JeonYe-Lin KimHwa-Bin JungTaylor & Francis Grouparticleanalytic hierarchy process (ahp)key factorsmanufacturing servitizationindustrial service innovationservice design methodologyBusinessHF5001-6182Management. Industrial managementHD28-70ENCogent Business & Management, Vol 8, Iss 1 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	analytic hierarchy process (ahp) key factors manufacturing servitization industrial service innovation service design methodology Business HF5001-6182 Management. Industrial management HD28-70
spellingShingle	analytic hierarchy process (ahp) key factors manufacturing servitization industrial service innovation service design methodology Business HF5001-6182 Management. Industrial management HD28-70 Hyeog-in Kwon Bo-Hyun Baek Yong-Su Jeon Ye-Lin Kim Hwa-Bin Jung Key factors of service design methodology for manufacturing servitization
description	With progressions in technology and high demand for value, business model designs based on cooperative systems are essential for innovative manufacturing servitization. Previous studies, which focused on product innovation or specific industries, either lacked standardized steps or promoted inconsistent processes and tools. Therefore, an integrated, holistic evaluation for designing and using service design methodologies was essential. Examining previous research, this study derived key factors categorized through focus group interviews with 13 experts. The analytic hierarchy process was used to derive weights for each factor to rank the level of importance. The results revealed the key factors of service design methodology: utility, systematicness, innovation, and convergence. Lower factors included the applicability to reality, ease of use, representation of needs, composition feasibility, customer value scalability, industrial convergence, flexibility, output clarity, collaboration support, and business improvement. The results of this study may be used as a basis for the development and selective adoption of service design methodologies in macroscopic terms. The study provides a direction for innovation and improving business models. It also serves as an academic foundation for industrial service innovation and ecosystem creation.
format	article
author	Hyeog-in Kwon Bo-Hyun Baek Yong-Su Jeon Ye-Lin Kim Hwa-Bin Jung
author_facet	Hyeog-in Kwon Bo-Hyun Baek Yong-Su Jeon Ye-Lin Kim Hwa-Bin Jung
author_sort	Hyeog-in Kwon
title	Key factors of service design methodology for manufacturing servitization
title_short	Key factors of service design methodology for manufacturing servitization
title_full	Key factors of service design methodology for manufacturing servitization
title_fullStr	Key factors of service design methodology for manufacturing servitization
title_full_unstemmed	Key factors of service design methodology for manufacturing servitization
title_sort	key factors of service design methodology for manufacturing servitization
publisher	Taylor & Francis Group
publishDate	2021
url	https://doaj.org/article/5f8e24755e6e4618b2872a9fb013da5a
work_keys_str_mv	AT hyeoginkwon keyfactorsofservicedesignmethodologyformanufacturingservitization AT bohyunbaek keyfactorsofservicedesignmethodologyformanufacturingservitization AT yongsujeon keyfactorsofservicedesignmethodologyformanufacturingservitization AT yelinkim keyfactorsofservicedesignmethodologyformanufacturingservitization AT hwabinjung keyfactorsofservicedesignmethodologyformanufacturingservitization
_version_	1718391608890621952

Key factors of service design methodology for manufacturing servitization

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