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Monitoring Methods of Service Quality in the Distance Education Industry: The Design of an ‘Input-Output’ Service Quality Model for Chinese Market-oriented Distance Education Services
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Civil and Industrial Engineering.
2022 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The lack of evaluation instruments for service quality in the distance education market hinders the Chinese government from monitoring the reliability of Chinese distance education service institutions and their capability to provide distance education services. This study starts from theoretical foundations, proposes an “Input-Output” service quality model (IO-SQM) by combining the logic of Input-Output Analysis (IOA), and conducts an empirical study in the background of the Chinese customer-oriented distance education market. Exploratory Factor Analysis (EFA) and Structural Equation Modeling (SEM) tests and validates the model structure based on the survey data collected from 525 respondents who have distance education experiences. Descriptive and differential analysis investigate the customers’ perceptions of distance education service qualities in the current Chinese market. The results prove an ‘input-output’ relationship among service quality influential factors. The input factor is identified as Service Provision, consisting of reliability of service resources, reliability of service management, and service promotion. The output factor is identified as Service Performance, consisting of perception of service experience, perception of service culture, and perception of market feedback. The descriptive analysis shows that customers’ perceptions of distance education service provision and service performance in the current Chinese market are below the satisfaction level. This research proposes an alternative service quality model that can be a reference for the digital service quality assessment and provides a feasible instrument for monitoring service quality in the Chinese distance education market.

Place, publisher, year, edition, pages
2022.
Series
SAMINT-MILI ; 22013
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:uu:diva-477666OAI: oai:DiVA.org:uu-477666DiVA, id: diva2:1672248
Educational program
Master Programme in Industrial Management and Innovation
Supervisors
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Note

Confidential

Available from: 2022-06-22 Created: 2022-06-19 Last updated: 2025-02-10Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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More styles
Language
  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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