E-Service Quality from Attributes to Outcomes: The Similarity and Difference between Digital and Hybrid Services
Our research goal is to offer an e-service quality model based on experience and multidimensional quality and compare its applicability for e-services to find differences and similarities in consumer perceptions and behavioral intentions. Additionally, we seek to compare attributes that compose qual...
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2020-11-01
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doaj-ec80a5d337674bd9b0dfc202efb10e1d2020-11-25T04:07:27ZengMDPI AGJournal of Open Innovation: Technology, Market and Complexity2199-85312020-11-01614314310.3390/joitmc6040143E-Service Quality from Attributes to Outcomes: The Similarity and Difference between Digital and Hybrid ServicesNatalia Vatolkina0Elena Gorbashko1Nadezhda Kamynina2Olga Fedotkina3Department of Management, Bauman Moscow State Technical University (National Research University), Moscow 105005, RussiaDepartment of Project and Quality Management, Saint Petersburg State University of Economics, St. Petersburg 191023, RussiaDepartment of Land Law and State Registration of Real Estate, Moscow State University of Geodesy and Cartography, Moscow 105064, RussiaDepartment of Data Analysis and Machine Learning, Financial University under the Government of the Russian Federation, Moscow 125167, RussiaOur research goal is to offer an e-service quality model based on experience and multidimensional quality and compare its applicability for e-services to find differences and similarities in consumer perceptions and behavioral intentions. Additionally, we seek to compare attributes that compose quality dimensions for hybrid and digital e-services. The study was based on an online survey conducted in July–September 2019 among citizens and foreign residents in the Russian Federation. Respondents had to answer questions concerning a specific e-service brand to capture real consumer behavior. The data of 365 questionnaires were analyzed using the Spearman correlation to determine the relationship between the model components. Customer experience is a valid outcome variable in the e-service model that strongly influences customer satisfaction and repurchase intentions. The model proved to be equally valid for hybrid and digital e-services. The key differences between digital and hybrid e-services lie within the distribution of e-service attributes between quality dimensions. Ease of use and perceived usefulness are the most essential attributes that have a direct influence on customer satisfaction. The findings show the necessity of best practices diffused between different types of e-services and present an opportunity to widely spread research findings between different e-service sectors.https://www.mdpi.com/2199-8531/6/4/143e-servicee-service qualitycustomer experience |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Natalia Vatolkina Elena Gorbashko Nadezhda Kamynina Olga Fedotkina |
spellingShingle |
Natalia Vatolkina Elena Gorbashko Nadezhda Kamynina Olga Fedotkina E-Service Quality from Attributes to Outcomes: The Similarity and Difference between Digital and Hybrid Services Journal of Open Innovation: Technology, Market and Complexity e-service e-service quality customer experience |
author_facet |
Natalia Vatolkina Elena Gorbashko Nadezhda Kamynina Olga Fedotkina |
author_sort |
Natalia Vatolkina |
title |
E-Service Quality from Attributes to Outcomes: The Similarity and Difference between Digital and Hybrid Services |
title_short |
E-Service Quality from Attributes to Outcomes: The Similarity and Difference between Digital and Hybrid Services |
title_full |
E-Service Quality from Attributes to Outcomes: The Similarity and Difference between Digital and Hybrid Services |
title_fullStr |
E-Service Quality from Attributes to Outcomes: The Similarity and Difference between Digital and Hybrid Services |
title_full_unstemmed |
E-Service Quality from Attributes to Outcomes: The Similarity and Difference between Digital and Hybrid Services |
title_sort |
e-service quality from attributes to outcomes: the similarity and difference between digital and hybrid services |
publisher |
MDPI AG |
series |
Journal of Open Innovation: Technology, Market and Complexity |
issn |
2199-8531 |
publishDate |
2020-11-01 |
description |
Our research goal is to offer an e-service quality model based on experience and multidimensional quality and compare its applicability for e-services to find differences and similarities in consumer perceptions and behavioral intentions. Additionally, we seek to compare attributes that compose quality dimensions for hybrid and digital e-services. The study was based on an online survey conducted in July–September 2019 among citizens and foreign residents in the Russian Federation. Respondents had to answer questions concerning a specific e-service brand to capture real consumer behavior. The data of 365 questionnaires were analyzed using the Spearman correlation to determine the relationship between the model components. Customer experience is a valid outcome variable in the e-service model that strongly influences customer satisfaction and repurchase intentions. The model proved to be equally valid for hybrid and digital e-services. The key differences between digital and hybrid e-services lie within the distribution of e-service attributes between quality dimensions. Ease of use and perceived usefulness are the most essential attributes that have a direct influence on customer satisfaction. The findings show the necessity of best practices diffused between different types of e-services and present an opportunity to widely spread research findings between different e-service sectors. |
topic |
e-service e-service quality customer experience |
url |
https://www.mdpi.com/2199-8531/6/4/143 |
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