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Aligning strategic profiles with operational metrics in after‐sales service

Author

Listed:
  • Sergio Cavalieri
  • Paolo Gaiardelli
  • Stefano Ierace

Abstract

Purpose - The purpose of the paper is to overcome the limitations of the current models available in the literature in terms of relation and consistency between business strategy, service chain configuration and performance measurement systems, and on the alignment between strategic, tactical and operational levels of after‐sales decision‐making processes. Design/methodology/approach - The paper draws on a literature review of after‐sales performance measurement systems and provides a first validation of the proposed integrated model through industrial case studies related to the provision of durable consumer goods in a business to consumer scenario. Findings - The paper aims to contribute to a better understanding of the factors which influence the performance of after‐sales, in order to allow enterprises to consistently design their corporate after‐sales service strategic performances with those required at operational levels within a service chain. Research limitations/implications - Further development must be carried out in order to: enlarge the sample of companies and cases where the model can be applied, with a specific extension on a business‐to‐business industry; extend the model to the whole supply and service chain; enrich the framework in order to consider other aspects, as empathy; and develop a full integration with the SCOR model, including the definition of best practices. Originality/value - The integration of the strategic and operational views subsumed by the framework would allow enterprises in relating more consistently their corporate After‐sales strategic and operational performance within a service chain and to assess the cause and effect relationship between operational drivers and financial and competitive results.

Suggested Citation

  • Sergio Cavalieri & Paolo Gaiardelli & Stefano Ierace, 2007. "Aligning strategic profiles with operational metrics in after‐sales service," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 56(5/6), pages 436-455, June.
  • Handle: RePEc:eme:ijppmp:v:56:y:2007:i:5/6:p:436-455
    DOI: 10.1108/17410400710757132
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    Citations

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    Cited by:

    1. Kati Stormi & Anni Lindholm & Teemu Laine & Tuomas Korhonen, 2020. "RFM customer analysis for product-oriented services and service business development: an interventionist case study of two machinery manufacturers," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 24(3), pages 623-653, September.
    2. Xie, Chaohong & Chiang, Chung-Yean & Xu, Xianhao & Gong, Yeming, 2023. "The impact of buy-online-and-return-in-store channel integration on online and offline behavioral intentions: The role of offline store," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    3. Mario Fargnoli & Nicolas Haber & Massimo Tronci, 2022. "Case Study Research to Foster the Optimization of Supply Chain Management through the PSS Approach," Sustainability, MDPI, vol. 14(4), pages 1-19, February.
    4. Burström, Thommie & Wilson, Timothy L. & Wincent, Joakim, 2020. "Dynamics of after-sales managers’ strategizing work: What, why and how," Journal of Business Research, Elsevier, vol. 110(C), pages 119-131.
    5. Shuai Zhang & Kai Huang & Yufei Yuan, 2021. "Spare Parts Inventory Management: A Literature Review," Sustainability, MDPI, vol. 13(5), pages 1-23, February.

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