An explorative study of acceptance and usage of on-demand car functions technology

This dissertation investigates the acceptance of on-demand car functions (ODCF) and proposes a conceptual framework incorporating key factors to explain behavioral intentions from an end-user perspective. Given the limited research on end-user responses to ODCF and the potential for adverse reaction...

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Detalles Bibliográficos
Autor: Gräsner, Tom
Tipo de recurso: tesis doctoral
Fecha de publicación:2025
País:España
Institución:Universidad Católica San Antonio de Murcia (UCAM)
Repositorio:RIUCAM. Repositorio Institucional de la Universidad Católica San Antonio de Murcia
OAI Identifier:oai:repositorio.ucam.edu:10952/9422
Acceso en línea:http://hdl.handle.net/10952/9422
Access Level:acceso abierto
Palabra clave:Automotive industry
Technological innovation
Business model innovation
Connected car
On-demand car functions
Consumer behavior
Behavioral intentions
End-user acceptance
Technology acceptance
TAM
UTAUT
Mixedmethods design
Qualitative research
Quantitative research
Semi-structured interviews
PLS-SEM
FsQCA
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spelling An explorative study of acceptance and usage of on-demand car functions technologyGräsner, TomAutomotive industryTechnological innovationBusiness model innovationConnected carOn-demand car functionsConsumer behaviorBehavioral intentionsEnd-user acceptanceTechnology acceptanceTAMUTAUTMixedmethods designQualitative researchQuantitative researchSemi-structured interviewsPLS-SEMFsQCAThis dissertation investigates the acceptance of on-demand car functions (ODCF) and proposes a conceptual framework incorporating key factors to explain behavioral intentions from an end-user perspective. Given the limited research on end-user responses to ODCF and the potential for adverse reactions¿where users may feel misled to pay for activating pre-installed features¿understanding the determinants influencing end-users' intention to accept ODCF is crucial for academic and practical application. While effective in explaining consumer behavior, existing acceptance models require adaptation and extension through exploratory qualitative studies, followed by quantitative analysis examining the relationships between relevant factors to improve their explanatory power in the context of ODCF. This study employs an exploratory sequential mixed-methods design to address these research gaps. Initially, qualitative research is conducted to identify factors pertinent to end-user acceptance of ODCF by semi-structured expert interviews. Subsequently, quantitative research is performed to evaluate these factors and associated hypotheses using symmetric (Partial Least Squares Structural Equation Modeling, PLS-SEM) and asymmetric (Fuzzy-set Qualitative Comparative Analysis, FsQCA) approaches based on data collected from an online survey of 198 end-users. The PLS-SEM results demonstrate that performance expectancy, price value, upgradeability, and knowledge have significant positive effects, while perceived ease of product trial and perceived betrayal significantly negatively impact the behavioral intention to accept ODCF. The FsQCA uncovers ten configurations that lead to high behavioral intention to accept ODCF and eighteen causal pathways that diminish this intention. The findings suggest that PLS-SEM and FsQCA are complementary analytical techniques, with FsQCA offering a more nuanced understanding of the complex causal relationships, including factors showing nonsignificant effects on the intention to accept ODCF (such as perceived ease of product modification, configurability, personalization, and trust). This dissertation confirms, extends, and contributes novel insights to the body of knowledge on the acceptance of ODCF, offering a comprehensive understanding of the factors influencing end-user intentions by integrating qualitative and quantitative methods.Administración y Dirección de EmpresasCarmona Martínez, MercedesVogt, Roland2025info:eu-repo/semantics/doctoralThesishttp://hdl.handle.net/10952/9422reponame:RIUCAM. Repositorio Institucional de la Universidad Católica San Antonio de Murciainstname:Universidad Católica San Antonio de Murcia (UCAM)Inglésinfo:eu-repo/semantics/openAccessoai:repositorio.ucam.edu:10952/94222026-06-07T18:35:21Z
dc.title.none.fl_str_mv An explorative study of acceptance and usage of on-demand car functions technology
title An explorative study of acceptance and usage of on-demand car functions technology
spellingShingle An explorative study of acceptance and usage of on-demand car functions technology
Gräsner, Tom
Automotive industry
Technological innovation
Business model innovation
Connected car
On-demand car functions
Consumer behavior
Behavioral intentions
End-user acceptance
Technology acceptance
TAM
UTAUT
Mixedmethods design
Qualitative research
Quantitative research
Semi-structured interviews
PLS-SEM
FsQCA
title_short An explorative study of acceptance and usage of on-demand car functions technology
title_full An explorative study of acceptance and usage of on-demand car functions technology
title_fullStr An explorative study of acceptance and usage of on-demand car functions technology
title_full_unstemmed An explorative study of acceptance and usage of on-demand car functions technology
title_sort An explorative study of acceptance and usage of on-demand car functions technology
dc.creator.none.fl_str_mv Gräsner, Tom
author Gräsner, Tom
author_facet Gräsner, Tom
author_role author
dc.contributor.none.fl_str_mv Carmona Martínez, Mercedes
Vogt, Roland
dc.subject.none.fl_str_mv Automotive industry
Technological innovation
Business model innovation
Connected car
On-demand car functions
Consumer behavior
Behavioral intentions
End-user acceptance
Technology acceptance
TAM
UTAUT
Mixedmethods design
Qualitative research
Quantitative research
Semi-structured interviews
PLS-SEM
FsQCA
topic Automotive industry
Technological innovation
Business model innovation
Connected car
On-demand car functions
Consumer behavior
Behavioral intentions
End-user acceptance
Technology acceptance
TAM
UTAUT
Mixedmethods design
Qualitative research
Quantitative research
Semi-structured interviews
PLS-SEM
FsQCA
description This dissertation investigates the acceptance of on-demand car functions (ODCF) and proposes a conceptual framework incorporating key factors to explain behavioral intentions from an end-user perspective. Given the limited research on end-user responses to ODCF and the potential for adverse reactions¿where users may feel misled to pay for activating pre-installed features¿understanding the determinants influencing end-users' intention to accept ODCF is crucial for academic and practical application. While effective in explaining consumer behavior, existing acceptance models require adaptation and extension through exploratory qualitative studies, followed by quantitative analysis examining the relationships between relevant factors to improve their explanatory power in the context of ODCF. This study employs an exploratory sequential mixed-methods design to address these research gaps. Initially, qualitative research is conducted to identify factors pertinent to end-user acceptance of ODCF by semi-structured expert interviews. Subsequently, quantitative research is performed to evaluate these factors and associated hypotheses using symmetric (Partial Least Squares Structural Equation Modeling, PLS-SEM) and asymmetric (Fuzzy-set Qualitative Comparative Analysis, FsQCA) approaches based on data collected from an online survey of 198 end-users. The PLS-SEM results demonstrate that performance expectancy, price value, upgradeability, and knowledge have significant positive effects, while perceived ease of product trial and perceived betrayal significantly negatively impact the behavioral intention to accept ODCF. The FsQCA uncovers ten configurations that lead to high behavioral intention to accept ODCF and eighteen causal pathways that diminish this intention. The findings suggest that PLS-SEM and FsQCA are complementary analytical techniques, with FsQCA offering a more nuanced understanding of the complex causal relationships, including factors showing nonsignificant effects on the intention to accept ODCF (such as perceived ease of product modification, configurability, personalization, and trust). This dissertation confirms, extends, and contributes novel insights to the body of knowledge on the acceptance of ODCF, offering a comprehensive understanding of the factors influencing end-user intentions by integrating qualitative and quantitative methods.
publishDate 2025
dc.date.none.fl_str_mv 2025
dc.type.none.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
dc.identifier.none.fl_str_mv http://hdl.handle.net/10952/9422
url http://hdl.handle.net/10952/9422
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:RIUCAM. Repositorio Institucional de la Universidad Católica San Antonio de Murcia
instname:Universidad Católica San Antonio de Murcia (UCAM)
instname_str Universidad Católica San Antonio de Murcia (UCAM)
reponame_str RIUCAM. Repositorio Institucional de la Universidad Católica San Antonio de Murcia
collection RIUCAM. Repositorio Institucional de la Universidad Católica San Antonio de Murcia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.812455

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