Predicting Consumer Electronics E-Commerce: Technology Acceptance Model and Logistics Service Quality
Autor:
Wu, Cheng-Feng
; Zhang, Kunkun
; Lin, Meng-Chen
; Chiou, Chei-Chang
Fecha:
09/2024Palabra clave:
Revista / editorial:
International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)Citación:
C. F. Wu, K. Zhang, M. C. Lin, C. C. Chiou. Predicting Consumer Electronics E-Commerce: Technology Acceptance Model and Logistics Service Quality, International Journal of Interactive Multimedia and Artificial Intelligence, vol. 8, no. 7, pp. 66-85, 2024, http://dx.doi.org/10.9781/ijimai.2024.08.001Tipo de Ítem:
Articulo Revista IndexadaDirección web:
https://www.ijimai.org/journal/bibcite/reference/3475![Open Access Open Access](/themes/Mirage2/images/reunir/openaccess.png)
Resumen:
In online shopping for consumer electronics, information and physical flows are crucial determinants of consumer purchase intentions. This study examines these factors by integrating the Technology Acceptance Model with logistics service quality, analyzing the relationship between retailers and consumers in e-commerce. The focus is on how information and physical flows, as critical supply chain elements, affect consumers' decisions to purchase online. A structural model and machine learning algorithm with SHapley Additive exPlanations are employed to analyze the data, providing a comprehensive analysis of the Technology Acceptance Model in conjunction with logistics service quality. The findings reveal that attitude, perceived usefulness, and informativeness are the most influential factors affecting consumers' purchase intention. This study contributes to the understanding of consumer behavior in the context of e-commerce platforms for consumer electronic products by integrating the Technology Acceptance Model and logistics service quality theoretical perspectives and analyzing the data using innovative techniques, specifically, Shapley Additive Explanations. This research offers valuable insights into the significant role of various features in shaping consumers' purchase intention in the context of online e-commerce platforms for consumer electrical products.
Ficheros en el ítem
![icon](/themes/Mirage2/images/reunir/icons/pdf.png)
Nombre: Predicting Consumer Electronics E-Commerce Technology Acceptance Model and Logistics Service Quality.pdf
Tamaño: 676.8Kb
Formato: application/pdf
Este ítem aparece en la(s) siguiente(s) colección(es)
Estadísticas de uso
Año |
2012 |
2013 |
2014 |
2015 |
2016 |
2017 |
2018 |
2019 |
2020 |
2021 |
2022 |
2023 |
2024 |
Vistas |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
38 |
Descargas |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
21 |
Ítems relacionados
Mostrando ítems relacionados por Título, autor o materia.
-
STAIBT: Blockchain and CP-ABE Empowered Secure and Trusted Agricultural IoT Blockchain Terminal
Zhang, Guofeng; Chen, Xiao; Zhang, Lei; Feng, Bin; Guo, Xuchao; Liang, Jingyun; Zhang, Yanan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)The integration of agricultural Internet of Things (IoT) and blockchain has become the key technology of precision agriculture. How to protect data privacy and security from data source is one of the difficult issues in ... -
An Ensemble Classifier for Stock Trend Prediction Using Sentence-Level Chinese News Sentiment and Technical Indicators
Chen, Chun-Hao; Chen, Po-Yeh; Chun-Wei Lin, Jerry (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)In the financial market, predicting stock trends based on stock market news is a challenging task, and researchers are devoted to developing forecasting models. From the existing literature, the performance of the forecasting ... -
What Drives IoT-Based Smart Pet Appliances Usage Intention? The Perspective of the Unified Theory of Acceptance and Use of Technology Model
Chen, Chia-Chen; Lin, Chia-Pei (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2024)The advancement of IOT (Internet of Things) has facilitated the development of smart pet appliances, and the market for these products has growing rapidly, this study seeks to identify key factors for pet owner adoption ...