Customer Experiences affect Customer Loyalty An Empirical Investigation of the Starbucks Experience using Structural Equation Modeling
Lei and Lomax (2005) found that it does not have a significant effect on the parameter estimates but that nonnormality inflates the x 2 statistics. This finding is in line with Henly (1993) who demonstrated that regardless of the sample size, the rejection frequency of a model is substantially highe...
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520 | |a Lei and Lomax (2005) found that it does not have a significant effect on the parameter estimates but that nonnormality inflates the x 2 statistics. This finding is in line with Henly (1993) who demonstrated that regardless of the sample size, the rejection frequency of a model is substantially higher if it is tested with a sample that contains nonnormal distributions of variables. Taking these facts into account, the sample size for this study was planned to amount to at least 100 respondents for the exploratory factor analyses and the reliability tests in the pre-test and at least 400 respondents for the final data analysis using structural equation modeling. In the following, the different steps of the study will be described. The theory presented in chapter two serves as the conceptual foundation as visualized in Figure 3 and as summarized in the hypotheses. The analysis will follow the classic approach of conducting SEM as suggested by Malhotra (2010). Biographische Informationen Daniel Gurski, born in 1988, graduated at Maastricht University as Master of Science in International Business with a focus on Strategic Marketing in 2013. He is fascinated by Customer-Centric Service Science and always strives to develop new business strategies that make customers more satisfied and companies more profitable. Daniel hereby tries to bridge the gap between strategy and operations by analyzing business processes from a customer perspective. He worked for global organizations in Germany, the Netherlands and Australia | ||
650 | 4 | |a Bayesian statistical decision theory | |
650 | 4 | |a Structural equation modeling | |
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author | Gurski, Daniel |
author_facet | Gurski, Daniel |
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language | English |
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publisher | Diplomica Verlag |
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spelling | Gurski, Daniel Verfasser aut Customer Experiences affect Customer Loyalty An Empirical Investigation of the Starbucks Experience using Structural Equation Modeling 1st ed Hamburg Diplomica Verlag 2014 © 2014 1 online resource (63 pages) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources Lei and Lomax (2005) found that it does not have a significant effect on the parameter estimates but that nonnormality inflates the x 2 statistics. This finding is in line with Henly (1993) who demonstrated that regardless of the sample size, the rejection frequency of a model is substantially higher if it is tested with a sample that contains nonnormal distributions of variables. Taking these facts into account, the sample size for this study was planned to amount to at least 100 respondents for the exploratory factor analyses and the reliability tests in the pre-test and at least 400 respondents for the final data analysis using structural equation modeling. In the following, the different steps of the study will be described. The theory presented in chapter two serves as the conceptual foundation as visualized in Figure 3 and as summarized in the hypotheses. The analysis will follow the classic approach of conducting SEM as suggested by Malhotra (2010). Biographische Informationen Daniel Gurski, born in 1988, graduated at Maastricht University as Master of Science in International Business with a focus on Strategic Marketing in 2013. He is fascinated by Customer-Centric Service Science and always strives to develop new business strategies that make customers more satisfied and companies more profitable. Daniel hereby tries to bridge the gap between strategy and operations by analyzing business processes from a customer perspective. He worked for global organizations in Germany, the Netherlands and Australia Bayesian statistical decision theory Structural equation modeling Erscheint auch als Druck-Ausgabe Gurski, Daniel Customer Experiences affect Customer Loyalty : An Empirical Investigation of the Starbucks Experience using Structural Equation Modeling |
spellingShingle | Gurski, Daniel Customer Experiences affect Customer Loyalty An Empirical Investigation of the Starbucks Experience using Structural Equation Modeling Bayesian statistical decision theory Structural equation modeling |
title | Customer Experiences affect Customer Loyalty An Empirical Investigation of the Starbucks Experience using Structural Equation Modeling |
title_auth | Customer Experiences affect Customer Loyalty An Empirical Investigation of the Starbucks Experience using Structural Equation Modeling |
title_exact_search | Customer Experiences affect Customer Loyalty An Empirical Investigation of the Starbucks Experience using Structural Equation Modeling |
title_full | Customer Experiences affect Customer Loyalty An Empirical Investigation of the Starbucks Experience using Structural Equation Modeling |
title_fullStr | Customer Experiences affect Customer Loyalty An Empirical Investigation of the Starbucks Experience using Structural Equation Modeling |
title_full_unstemmed | Customer Experiences affect Customer Loyalty An Empirical Investigation of the Starbucks Experience using Structural Equation Modeling |
title_short | Customer Experiences affect Customer Loyalty |
title_sort | customer experiences affect customer loyalty an empirical investigation of the starbucks experience using structural equation modeling |
title_sub | An Empirical Investigation of the Starbucks Experience using Structural Equation Modeling |
topic | Bayesian statistical decision theory Structural equation modeling |
topic_facet | Bayesian statistical decision theory Structural equation modeling |
work_keys_str_mv | AT gurskidaniel customerexperiencesaffectcustomerloyaltyanempiricalinvestigationofthestarbucksexperienceusingstructuralequationmodeling |