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Reprint of: Service innovation in sustainable product service systems: Improving performance under linguistic preferences

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  • Tseng, Ming-Lang
  • Wu, Kuo-Jui
  • Chiu, Anthony SF.
  • Lim, Ming K.
  • Tan, Kimhua

Abstract

Sustainable product service systems enable firms that are operating under resource limitations to deliver the best possible outcomes in terms of social well-being and economic growth. However, prior studies have not yet investigated the function of service innovation in sustainable product service systems or analyzed the convergence of importance and performance weighting in maximizing resource utilization in the supply chain. Moreover, prior studies have not yet integrated and proposed a complex interrelationship-driven hierarchical model including qualitative preferences or identifying weighting under linguistic preferences. This study applied the fuzzy Delphi method, fuzzy importance performance analysis and an analytical network process to analyze an interrelationship-driven hierarchical model of service innovation in sustainable product service systems. Hence, this study provides a set of attributes and a hybrid method to assess the model as well as linguistic preferences to weight the importance and performance measures. The results present four features that are included in the model: sustainable consumption, collaborative advantage, innovation activities and service innovation capabilities. Therefore, when building sustainable product service systems, firms should maintain operations and aim for business synergy in self-generated innovative products/services along with high-quality products/services, collaboration innovation and product and service innovations. Managerial and theoretical implications are discussed.

Suggested Citation

  • Tseng, Ming-Lang & Wu, Kuo-Jui & Chiu, Anthony SF. & Lim, Ming K. & Tan, Kimhua, 2019. "Reprint of: Service innovation in sustainable product service systems: Improving performance under linguistic preferences," International Journal of Production Economics, Elsevier, vol. 217(C), pages 159-170.
  • Handle: RePEc:eee:proeco:v:217:y:2019:i:c:p:159-170
    DOI: 10.1016/j.ijpe.2019.09.013
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    References listed on IDEAS

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    Cited by:

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    3. Fayu Chen & Jinhao Liu & Xiaoyu Liu & Hua Zhang, 2023. "Static and Dynamic Evaluation of Financing Efficiency in Enterprises’ Low-Carbon Supply Chain: PCA–DEA–Malmquist Model Method," Sustainability, MDPI, vol. 15(3), pages 1-17, January.
    4. Ming-Lang Tseng & Tat-Dat Bui & Ming K. Lim & Stephen Lewi, 2021. "A Cause and Effect Model for Digital Sustainable Supply Chain Competitiveness under Uncertainties: Enhancing Digital Platform," Sustainability, MDPI, vol. 13(18), pages 1-19, September.
    5. Angela Dettori, 2020. "Sustainability as a Matrix of Experiential Marketing," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 11(2), pages 1-29, March.
    6. Jean Pierre Seclen-Luna & Pablo Moya-Fernández & Ángeles Pereira, 2021. "Exploring the Effects of Innovation Strategies and Size on Manufacturing Firms’ Productivity and Environmental Impact," Sustainability, MDPI, vol. 13(6), pages 1-18, March.

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