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Requirement-Oriented Engineering Characteristic Identification for a Sustainable Product–Service System: A Multi-Method Approach

Author

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  • Chunting Liu

    (School of Economics and Management, Beihang University, Beijing 100191, China)

  • Guozhu Jia

    (School of Economics and Management, Beihang University, Beijing 100191, China)

  • Jili Kong

    (School of Modern Post, Beijing University of Posts and Telecommunications, Beijing 100876, China)

Abstract

Product–service systems (PSSs) have great potential for competitiveness and sustainability. Customers’ requirements cannot be directly used in the design of a PSS. Accurate identification of customer requirements, especially hidden requirements in the product life cycle, and transformation of customer requirements into specific engineering characteristics for PSS design are urgent problems. This study proposed a systematic and whole-process framework employing specific identification processes and methods, as well as a big data analysis. A set of refined and integrated methods were used to better identify customer requirements and to transform the customer requirements into specific engineering characteristics more accurately and efficiently. We also used customers’ online review data—a huge information resource to be explored—and big data technology to improve the requirement information identification process. A case study was implemented to verify our methodology. We obtained the engineering characteristics of a smartphone PSS matching the customer requirements as well as the exact importance rankings of customer requirements and engineering characteristics. The analysis results revealed that the proposed methodology allowed PSS designers to assess the PSS requirements more specifically and accurately by providing an intuitive evaluation of the role and importance of the requirements, engineering characteristics, and their mutual interactions that were hidden or indirect.

Suggested Citation

  • Chunting Liu & Guozhu Jia & Jili Kong, 2020. "Requirement-Oriented Engineering Characteristic Identification for a Sustainable Product–Service System: A Multi-Method Approach," Sustainability, MDPI, vol. 12(21), pages 1-20, October.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:21:p:8880-:d:434955
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    1. Garcia Martin, Patricia Carolina & Schroeder, Andreas & Ziaee Bigdeli, Ali, 2019. "The value architecture of servitization: Expanding the research scope," Journal of Business Research, Elsevier, vol. 104(C), pages 438-449.
    2. Ricardo J. Hernández Pardo & Tracy Bhamra & Ran Bhamra, 2012. "Sustainable Product Service Systems in Small and Medium Enterprises (SMEs): Opportunities in the Leather Manufacturing Industry," Sustainability, MDPI, vol. 4(2), pages 1-18, January.
    3. Paul Resnick & Christopher Avery & Richard Zeckhauser, 1999. "The Market for Evaluations," American Economic Review, American Economic Association, vol. 89(3), pages 564-584, June.
    4. Marina Berkovich & Jan Leimeister & Helmut Krcmar, 2011. "Requirements Engineering for Product Service Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 3(6), pages 369-380, December.
    5. Luu Huu Van & Vincent F. Yu & Luu Quoc Dat & Canh Chi Dung & Shuo-Yan Chou & Nguyen Viet Loc, 2018. "New Integrated Quality Function Deployment Approach Based on Interval Neutrosophic Set for Green Supplier Evaluation and Selection," Sustainability, MDPI, vol. 10(3), pages 1-13, March.
    6. Christine Kreuzer & Susanne Weber & Mona Off & Tobias Hackenberg & Chiara Birk, 2019. "Shedding Light on Realized Sustainable Consumption Behavior and Perceived Barriers of Young Adults for Creating Stimulating Teaching–Learning Situations," Sustainability, MDPI, vol. 11(9), pages 1-18, May.
    7. Chan, Lai-Kow & Wu, Ming-Lu, 2002. "Quality function deployment: A literature review," European Journal of Operational Research, Elsevier, vol. 143(3), pages 463-497, December.
    8. Fabio Neves Puglieri & Aldo Roberto Ometto & Rodrigo Salvador & Murillo Vetroni Barros & Cassiano Moro Piekarski & Izabella Morré Rodrigues & Octavio Diegoli Netto, 2020. "An Environmental and Operational Analysis of Quality Function Deployment-Based Methods," Sustainability, MDPI, vol. 12(8), pages 1-18, April.
    9. Gebauer, Heiko & Fleisch, Elgar & Friedli, Thomas, 2005. "Overcoming the Service Paradox in Manufacturing Companies," European Management Journal, Elsevier, vol. 23(1), pages 14-26, February.
    10. Christa Liedtke & Johannes Buhl & Najine Ameli, 2013. "Microfoundations for Sustainable Growth with Eco-Intelligent Product Service-Arrangements," Sustainability, MDPI, vol. 5(3), pages 1-20, March.
    11. Ateekh Ur Rehman & Syed Hammad Mian & Usama Umer & Yusuf Siraj Usmani, 2019. "Strategic Outcome Using Fuzzy-AHP-Based Decision Approach for Sustainable Manufacturing," Sustainability, MDPI, vol. 11(21), pages 1-22, October.
    12. Ricardo J Hernandez, 2019. "Sustainable Product-Service Systems and Circular Economies," Sustainability, MDPI, vol. 11(19), pages 1-11, September.
    13. Daniel Beverungen & Hedda Lüttenberg & Verena Wolf, 2018. "Recombinant Service Systems Engineering," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 60(5), pages 377-391, October.
    14. Green, Maxwell H. & Davies, Philip & Ng, Irene C.L., 2017. "Two strands of servitization: A thematic analysis of traditional and customer co-created servitization and future research directions," International Journal of Production Economics, Elsevier, vol. 192(C), pages 40-53.
    15. Runliang Dou & Yubo Zhang & Guofang Nan, 2019. "Application of combined Kano model and interactive genetic algorithm for product customization," Journal of Intelligent Manufacturing, Springer, vol. 30(7), pages 2587-2602, October.
    16. Nicolas Haber & Mario Fargnoli, 2017. "Design for product-service systems: a procedure to enhance functional integration of product-service offerings," International Journal of Product Development, Inderscience Enterprises Ltd, vol. 22(2), pages 135-164.
    17. Daniela M. Salvioni & Francesca Gennari & Luisa Bosetti, 2016. "Sustainability and Convergence: The Future of Corporate Governance Systems?," Sustainability, MDPI, vol. 8(11), pages 1-25, November.
    18. Hui Zhang & Qiyu Ren & Jiaying Li, 2019. "How to Improve Water Resources Allocation Efficiency: A Two-Stage Performance-Based Allocation Mechanism," Sustainability, MDPI, vol. 11(21), pages 1-12, October.
    19. Haeok Liz Kim & Sunghyup Sean Hyun, 2019. "The Relationships among Perceived Value, Intention to Use Hashtags, eWOM, and Brand Loyalty of Air Travelers," Sustainability, MDPI, vol. 11(22), pages 1-12, November.
    20. Ihsan Ullah Jan & Seonggoo Ji & Chankoo Yeo, 2019. "Values and Green Product Purchase Behavior: The Moderating Effects of the Role of Government and Media Exposure," Sustainability, MDPI, vol. 11(23), pages 1-16, November.
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    2. Nicolas Haber & Mario Fargnoli, 2021. "Sustainable Product-Service Systems Customization: A Case Study Research in the Medical Equipment Sector," Sustainability, MDPI, vol. 13(12), pages 1-20, June.

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