Service Quality Measurement - Data Management


Term Paper (Advanced seminar), 2003

36 Pages, Grade: 1.8


Excerpt


Contents :

i. Abstract

1.0 Introduction

2.0 Part A - Questionnaire “Palavrion Corporation”
2.1 Comments - Strengths & Weaknesses
2.2 Probability Based Sampling Strategy
2.3 Non-Probability Based Sampling Strategy

3.0 Part B: Service Quality Satisfaction Survey - ADMECO AG
3.1 Introduction
3.1.1 Overview of ADMECO AG
3.2 Problem Description & Objectives of Survey
3.3 Definition of Population & Sampling Process
3.3.1 Population
3.3.2 Sampling; Consideration & Process
3.4 Questionnaire Design
3.4.1 Procedure & Guiding Principle
3.4.2 Guiding Principle
3.4.3 Design & Layout
3.4.4 Pre-test the Questionnaire
3.5 Result of Survey
3.5.1 Response Rate
3.5.2 Overview of Answers
3.5.3 Personal Interaction - Analysis of Section
3.5.4 Business Savvy - Analysis of Section
3.5.5 Added Value - Analysis of Section
3.6 Conclusion

4.0 Part C: Middling Records - Data Analysis
4.1 Introduction
4.2 Presentation of Data
4.3 Retrospective Analysis
4.3.1 Model Validation
4.3.1.1 Multiple R
4.3. 1.2 Correlation Coefficient (R )
4.3.1.3 Confidence Interval (CI)
4.3.1.4 Outliers
4.4 Regression Model of CQSI - Forecasting 4 th Quarter
4.5 Comparison between Outlets - Impact on Sampling Strategy/Forecast

5.0 Part D - Reflection
5.1 Sampling Process/Questionnaire
5.2 Data Analysis

6.0 Appendices
6.1 Palavrion Corporation Survey Form
6.2 Service Quality Satisfaction Survey - ADMECO AG
6.3 Middling Records Data Tables

7.0 References

Excerpt out of 36 pages

Details

Title
Service Quality Measurement - Data Management
College
University of Strathclyde
Grade
1.8
Author
Year
2003
Pages
36
Catalog Number
V178462
ISBN (eBook)
9783656004479
ISBN (Book)
9783656005025
File size
1033 KB
Language
English
Notes
Over the past decade Service Quality Measurement (SQM) has been receiving more attention worldwide and taking a more central role as a measurement of success. The notion of Service Quality is found well documented throughout the literature and describes the interactive process between the customer and the service provider. In general, the SQM is a powerful technique to monitor customer satisfaction, helping to focus on key areas of improvement in order to establish a new baseline to the current service quality rating.
Keywords
service, quality, measurement, data, management
Quote paper
MBA Andreas Keller (Author), 2003, Service Quality Measurement - Data Management, Munich, GRIN Verlag, https://www.grin.com/document/178462

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