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A framework for the selection of Six Sigma projects in services: case studies of banking and health care services in Taiwan

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Abstract

This study develops a framework for effectively implementing service Six Sigma projects. The framework is composed of four phases: (1) initial project identification, which deploys candidate projects in accordance with a firm’s strategic goals, (2) project value assessment, which evaluates project’s value based on the financial return, cost, and its impact on employee behavior, (3) project complexity assessment, which examines scope, data availability, and risk associated with the project, and (4) project prioritization, which identifies Six Sigma projects and categorizes them into black belt and green belt categories. Two cases in banking and health care services are discussed to demonstrate the proposed framework.

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Acknowledgment

The authors acknowledge and are grateful for the research assistance of Fang-Yi Lin in data analysis.

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Correspondence to Ying-Jiun Hsieh.

Appendix: measurement items: criteria (tools)

Appendix: measurement items: criteria (tools)

1.1 Project value assessment

1.1.1 Financial return (consensus method)

How much financial return including hard and soft savings will the project generate in million NT dollars?

1.1.2 Cost (consensus method)

What is the total incurred cost (e.g., direct cost, direct project overhead cost, general and administrative overhead cost, etc.) for the project in million NT dollars?

1.1.3 Employee behavior (AHP)

 

  1. (1)

    Which project is more influential to promoting employee behavior?

  2. (2)

    How strongly based on the 1–9 scale (i.e., 1: equally important; 9: extremely much more important)?

1.2 Project complexity assessment

1.2.1 Scope (AHP)

 

  1. (1)

    Which project has larger scope (e.g., objective, deliverables, etc.)?

  2. (2)

    How much larger based on the 1–9 scale (i.e., 1: equally large; 9: extremely larger)?

1.2.2 Data availability (AHP)

 

  1. (1)

    Which project has more data available?

  2. (2)

    How much more available based on the 1–9 scale (i.e., 1: equally available; 9: extremely more available)?

1.2.3 Risk (FMEA)

 

  1. (1)

    Rate the impact of the risk associated with the project based on the 5-point Likert-type scale (1: lowest; 5: highest).

  2. (2)

    Rate the occurrence of the risk based on the 5-point Likert-type scale (1: least likelihood; 5: highest likelihood).

  3. (3)

    Rate the detection of the risk based on the 5-point Likert-type scale (1: most likely to detect in advance; 5: least likely to detect in advance).

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Hsieh, YJ., Huang, LY. & Wang, CT. A framework for the selection of Six Sigma projects in services: case studies of banking and health care services in Taiwan. Serv Bus 6, 243–264 (2012). https://doi.org/10.1007/s11628-012-0134-1

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