TY - JOUR
T1 - Product-service system toward circularity
T2 - hierarchical framework in Indonesia’s home appliance manufacturing industry under uncertainties
AU - Tseng, Ming Lang
AU - Sujanto, Raditia Yudistira
AU - Ardaniah, Viqi
AU - Bui, Tat Dat
AU - Lan, Shulin
AU - Negash, Yeneneh Tamirat
AU - Tseng, Jiun Wei
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2023
Y1 - 2023
N2 - This study contributes to developing the hierarchical framework of product-service system toward circularity under uncertainties of the home appliance industry in Indonesia. Product-service system allows for early identification of maintenance, customers’ personalization service, optimal allocation of resources, and environmental impact reduction, yet lacks circular principles to achieve zero-waste policy. Prior studies lack to generate a valid attribute set of product-service toward circularity based on qualitative information, construct a hierarchical framework with causal interrelationships among the attributes, and identify the valid attributes for improvement the system in the industry. This study applies fuzzy Delphi method to validate these attributes in the home appliance industry and adopts best–worst method to identify the effective and ineffective attributes while checking for their consistency. These valid attributes are used to construct a hierarchical framework and build a graphical depiction under causal interrelationships. The study’s implication to the theory is focused on the improvement of circular design, digital platform operation and stakeholders’ pressures as the priority aspects to optimize the effectiveness of product-service systems toward circularity. Meanwhile, the practical implication is centered on the improvement of customer belief, product traceability in supply network, modular design with recyclable material adoption, cloud service allocation and sharing, and customer requirements criteria for implementing circularity in the product-service system.
AB - This study contributes to developing the hierarchical framework of product-service system toward circularity under uncertainties of the home appliance industry in Indonesia. Product-service system allows for early identification of maintenance, customers’ personalization service, optimal allocation of resources, and environmental impact reduction, yet lacks circular principles to achieve zero-waste policy. Prior studies lack to generate a valid attribute set of product-service toward circularity based on qualitative information, construct a hierarchical framework with causal interrelationships among the attributes, and identify the valid attributes for improvement the system in the industry. This study applies fuzzy Delphi method to validate these attributes in the home appliance industry and adopts best–worst method to identify the effective and ineffective attributes while checking for their consistency. These valid attributes are used to construct a hierarchical framework and build a graphical depiction under causal interrelationships. The study’s implication to the theory is focused on the improvement of circular design, digital platform operation and stakeholders’ pressures as the priority aspects to optimize the effectiveness of product-service systems toward circularity. Meanwhile, the practical implication is centered on the improvement of customer belief, product traceability in supply network, modular design with recyclable material adoption, cloud service allocation and sharing, and customer requirements criteria for implementing circularity in the product-service system.
KW - Best–worst method
KW - Circularity
KW - Fuzzy Delphi method
KW - Fuzzy decision-making trial and evaluation laboratory
KW - Product-service system
UR - http://www.scopus.com/inward/record.url?scp=85169896173&partnerID=8YFLogxK
U2 - 10.1007/s10479-023-05538-5
DO - 10.1007/s10479-023-05538-5
M3 - Article
AN - SCOPUS:85169896173
SN - 0254-5330
JO - Annals of Operations Research
JF - Annals of Operations Research
ER -