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From expectations and needs of service customers to control chart specification limits

From expectations and needs of service customers to control chart specification limits Purpose – The aim of this paper is to develop a model to help service organizations to set the specification limits according to the customer expectations. Design/methodology/approach – A review of relevant literature has been used to develop a new integrated model with ideas from the Kano model, SERVQUAL, Taguchi loss function, Importance Performance Analysis (IPA) and a new model, “the Trade‐Off Importance”. A survey was carried out with 18 external customers and internal stakeholders of the Service Division of Siemens Industrial Turbomachinery AB in Finspong, Sweden. Findings – The model has demonstrated its robustness and credibility to set the specification limits. Additionally, it is a very powerful tool for service quality measurement and to set strategic directions. Research limitations/implications – First, articles published on this subject are few and there is no similar model in the literature to confirm or compare results. The proposed model must be further validated in future research. Second, this study is applied in a single service division, with a relatively small sample. Ideally, research should be conducted using multiple industries in order to ensure that the model is generalizable. Originality/value – To the best of one's knowledge, this paper is the first attempt to create a road‐map to set the specification limits in services. Researchers should find that the proposed model fills the research gap. From a managerial standpoint the practical benefits in Siemens Industrial Turbomachinery AB suggest a new way of communicating to customers. The model will also improve the target setting in the Six Sigma projects. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The TQM Journal Emerald Publishing

From expectations and needs of service customers to control chart specification limits

The TQM Journal , Volume 23 (2): 15 – Mar 1, 2011

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Publisher
Emerald Publishing
Copyright
Copyright © 2011 Emerald Group Publishing Limited. All rights reserved.
ISSN
1754-2731
DOI
10.1108/17542731111110221
Publisher site
See Article on Publisher Site

Abstract

Purpose – The aim of this paper is to develop a model to help service organizations to set the specification limits according to the customer expectations. Design/methodology/approach – A review of relevant literature has been used to develop a new integrated model with ideas from the Kano model, SERVQUAL, Taguchi loss function, Importance Performance Analysis (IPA) and a new model, “the Trade‐Off Importance”. A survey was carried out with 18 external customers and internal stakeholders of the Service Division of Siemens Industrial Turbomachinery AB in Finspong, Sweden. Findings – The model has demonstrated its robustness and credibility to set the specification limits. Additionally, it is a very powerful tool for service quality measurement and to set strategic directions. Research limitations/implications – First, articles published on this subject are few and there is no similar model in the literature to confirm or compare results. The proposed model must be further validated in future research. Second, this study is applied in a single service division, with a relatively small sample. Ideally, research should be conducted using multiple industries in order to ensure that the model is generalizable. Originality/value – To the best of one's knowledge, this paper is the first attempt to create a road‐map to set the specification limits in services. Researchers should find that the proposed model fills the research gap. From a managerial standpoint the practical benefits in Siemens Industrial Turbomachinery AB suggest a new way of communicating to customers. The model will also improve the target setting in the Six Sigma projects.

Journal

The TQM JournalEmerald Publishing

Published: Mar 1, 2011

Keywords: Customer satisfaction; Service industries; Six Sigma; Specifications

References