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Customer experiences affect customer loyalty : an empirical investigation of the starbucks experience using structural equation modeling / Daniel Gurski.

Ebook Central Academic Complete Available online

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Format:
Book
Author/Creator:
Gurski, Daniel, author.
Series:
Compact.
Compact
Language:
English
Subjects (All):
Bayesian statistical decision theory.
Structural equation modeling.
Physical Description:
1 online resource (63 p.)
Edition:
1st ed.
Place of Publication:
Hamburg, Germany : Anchor Academic Publishing, 2014.
Language Note:
English
Summary:
The study at hand investigates customer experiences at the American coffee company Starbucks and develops a new scale to measure customer experience quality on the basis of four dimensions: Service quality, atmosphere quality, flow quality and learning quality. The study reveals that product quality itself is a separate, but related construct to customer experience quality which alone is not sufficient to create customer loyalty. The effect of customer experience quality and product quality on customer loyalty intentions is found to be fully mediated by perceived value. Moreover, perceived wea
Contents:
Customer Experiences affect Customer Loyalty; Table of Contents; List of Figures; List of Tables; List of Abbreviations; 1. Introduction; 2. Literature Review; 2.1 The Evolution from Products to Services to Experiences; 2.2 The Initial Conceptual Model; 3. Methodology & Research Design; 3.1 Assigning Scales to the Individual Constructs; 3.2 Pre-Testing the Scales; 3.3 Adjustments and Refinements; 3.4 Testing the Measurement Model; 4. Data Analysis; 4.1 Comparison of Competing Models; 4.2 Selection of the Best Fitting Structural Model; 5. Discussion; 6. Conclusion; 6.1 Theoretical Implications
6.2 Managerial Implications6.3 Limitations & Future Research; Reference List; Appendix
Notes:
Description based upon print version of record.
Includes bibliographical references.
Description based on online resource; title from PDF title page (ebrary, viewed April 14, 2014).
ISBN:
3-95489-618-4
OCLC:
871780095

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