Can Relocation Influence Human Acceptance of Connected and Automated Vehicles? DOI Creative Commons
Y.X. Zhang, Chu Zhang, Jun Chen

et al.

Systems, Journal Year: 2024, Volume and Issue: 12(8), P. 296 - 296

Published: Aug. 11, 2024

Connected and automated vehicles (CAVs) are poised to revolutionize mobility. The relocation feature of CAVs enhances parking convenience for the public. Users can instruct arrive at their work destination, drop them off, then assign a cost-effective facility through an optimized itinerary. However, realizing benefits depends on user acceptance, impact features CAV acceptance remains area that is yet be explored. This study introduces novel model mainly investigate effects relocation-related factors 717 valid responses. results indicate perceived (PCOR) indirectly increases human three determinants, initial trust, usefulness (PU), ease use (PEOU), while PU, PEOU directly increase acceptance. public expectations saving fees (EOSPF) enhance PCOR. Additionally, multigroup analysis revealed PCOR exerts more positive PU or in subgroups including males, pre-Generation-Z individuals, experienced drivers, those with autopilot riding experience. findings mediators also discussed. provides valuable insights further research practical adoption emerging CAVs.

Language: Английский

The Impact of Interplay between Intrinsic Capabilities, Extrinsic Support and System Quality on e-Learning Service Experiences DOI Creative Commons
Mohammad Shuaib Mir,

Golooba Moses,

Yonis Gulzar

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 182073 - 182085

Published: Jan. 1, 2024

Language: Английский

Citations

1

An integrated model to predict students’ online learning behavior in emerging economies: a hybrid SEM–ANN approach DOI
Smriti Mathur, Alok Tewari,

Sushant Vishnoi

et al.

Journal of International Education in Business, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 9, 2024

Purpose The online learning environment is a function of dynamic market forces constantly restructuring the e-learning landscape’s complete ecosystemcape. This study aims to propose an framework by integrating Technology Acceptance Model (TAM) and Theory Planned Behaviour (TPB) predict students’ Online Learning Readiness Behaviour. Design/methodology/approach A structured questionnaire was used collect data from 406 students through survey. were analysed using two-stage structural equation modelling artificial neural network (ANN). Findings study’s results revealed that perceived ubiquity (PUB) positively influences ease use, usefulness attitude. Similarly, mobility significantly use Furthermore, attitude, subjective norms, behavioural control influence readiness learn online, which further behaviour. root-mean-square error (RMSE) values obtained ANN analysis indicate models’ predictive solid accuracy. Originality/value contributes existing literature proposing TAM TPB frameworks in association with two additional constructs, PUB Perceived Mobility. Secondly, this proposes unique triangulation recommendations for learners, educators policymakers.

Language: Английский

Citations

1

An Analytical Study on the Challenges of E-Learning in Higher Education DOI Open Access
Amita Sharma, Mohd Imran, Anshuman Sharma

et al.

Journal of Informatics Education and Research, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

The emergence of e-learning, which offers unmatched access to knowledge and flexible study opportunities, has revolutionized higher education. But this big change comes with certain difficulties. critical analysis examines the various difficulties e-learning in education their effects on students. From vast literature, lists faced by students were prepared. final list that consisted 11 issues students, finalized for data collection purposes. sample included 472 respondents includes Uttarakhand. was gathered through a survey method. Five-point Likert scale used measure data. Further “principal component (PCA)” applied extract principal components or most important issue from multidimensional challenges identified “Academic challenge”, “Technological challenge” “Infrastructure challenge”. result states academic challenge major quality larger extend universities are working these areas.

Language: Английский

Citations

0

Exploring the Effects of Online Learning Complications on Mathematics Achievement DOI
Dirgha Raj Joshi, Jiban Khadka, K. P. Adhikari

et al.

SSRN Electronic Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

Language: Английский

Citations

0

Can Relocation Influence Human Acceptance of Connected and Automated Vehicles? DOI Creative Commons
Y.X. Zhang, Chu Zhang, Jun Chen

et al.

Systems, Journal Year: 2024, Volume and Issue: 12(8), P. 296 - 296

Published: Aug. 11, 2024

Connected and automated vehicles (CAVs) are poised to revolutionize mobility. The relocation feature of CAVs enhances parking convenience for the public. Users can instruct arrive at their work destination, drop them off, then assign a cost-effective facility through an optimized itinerary. However, realizing benefits depends on user acceptance, impact features CAV acceptance remains area that is yet be explored. This study introduces novel model mainly investigate effects relocation-related factors 717 valid responses. results indicate perceived (PCOR) indirectly increases human three determinants, initial trust, usefulness (PU), ease use (PEOU), while PU, PEOU directly increase acceptance. public expectations saving fees (EOSPF) enhance PCOR. Additionally, multigroup analysis revealed PCOR exerts more positive PU or in subgroups including males, pre-Generation-Z individuals, experienced drivers, those with autopilot riding experience. findings mediators also discussed. provides valuable insights further research practical adoption emerging CAVs.

Language: Английский

Citations

0