| Title |
Product service system transition method: building firm's core competence of enterprise |
| ID_Doc |
74798 |
| Authors |
Chiu, MC; Chu, CY; Kuo, TC |
| Title |
Product service system transition method: building firm's core competence of enterprise |
| Year |
2019 |
| Published |
International Journal Of Production Research, 57, 20 |
| DOI |
10.1080/00207543.2019.1566670 |
| Abstract |
Product service system (PSS), applicable in numerous fields, is an innovative business model integrating products, services, and supporting infrastructure. It has been known as a promising approach to realise sustainable development of both enterprises and environment. However, only a few studies were addressed to support the PSS transition of enterprises. Thus the aim of this study is to develop a PSS transition methodology, comprising a quantitative PSS classification framework and transformation procedures. In order to classify PSS typology, rough set theory is applied, and as a result, a set of classification rules is derived from the analysis of 40 contemporary PSS service providers based on their attributes and the decision rules. In addition, this study also proposes a PSS transformation process that considers firms' core competencies and current PSS types. Moreover, the result also demonstrates the discovery of a new PSS type, platform-oriented PSS. The discovery and definition of this new type extend the current PSS typology. Finally, the proposed transition methodology is applied to an automotive company as a case study, illustrating the advantages and possibilities of this research. |
| Author Keywords |
product service system; PSS classification; transition method; rough set theory |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000487303600012 |
| WoS Category |
Engineering, Industrial; Engineering, Manufacturing; Operations Research & Management Science |
| Research Area |
Engineering; Operations Research & Management Science |
| PDF |
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