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A quality function deployment framework for service strategy planning

Author

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  • Kamvysi, Konstantina
  • Andronikidis, Andreas
  • Georgiou, Andreas C.
  • Gotzamani, Katerina

Abstract

This research introduces a Quality Function Deployment (QFD) decision framework for orchestrating and aligning quality management and services marketing efforts for effective service strategy planning. Specifically, a 3-phased QFD framework is presented, emphasizing the implications of the “Voice of the Customer†in defining service quality and delivering customer value, while interpreting it into a set of prioritized strategies to guide service design activities. Method wise, an extended methodological approach is employed, the QFD-LP-GW-Fuzzy AHP (Linear Programming method to Generate Weights in the Fuzzy Analytic Hierarchy Process), to capture and rank more accurately uncertain and subjective judgments. The application of the proposed framework is discussed within the financial sector. Essentially, this study contributes to the literature by streamlining and simplifying marketing strategy planning decisions with a novel QFD factual approach that aligns customer requirements with service organizations’ market positioning and tactics.

Suggested Citation

  • Kamvysi, Konstantina & Andronikidis, Andreas & Georgiou, Andreas C. & Gotzamani, Katerina, 2023. "A quality function deployment framework for service strategy planning," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    • Handle: RePEc:eee:joreco:v:73:y:2023:i:c:s0969698923000905
    DOI: 10.1016/j.jretconser.2023.103343
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    1. Liu, Xiao & Li, Ming-Yang, 2024. "Sustainable service product design method: Focus on customer demands and triple bottom line," Journal of Retailing and Consumer Services, Elsevier, vol. 80(C).
    2. Pang, Hua & Zhang, Kaige, 2024. "Determining influence of service quality on user identification, belongingness, and satisfaction on mobile social media: Insight from emotional attachment perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).

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