The effect of a different environment on providing personal information when engaging in E-commerce : the case of Saudis in the UK
Conference paper
Authors | Alshehri, H and Meziane, F. |
---|---|
Type | Conference paper |
Abstract | The results reported in this paper are part of a study comparing the online behaviour of Saudis living in Saudi Arabia (SA) and those living in the United Kingdom (UK). It is acknowledged that culture and the environment play an important role to develop trust in E-Commerce and particularly when providing personal information. Previous studies have shown that this is particularly true for Saudis leaving in Saudi Arabia and this has affected the development of E-Commerce. The current study looks at the behaviour of Saudis living in a different environment and investigates on whether the new environment affects their behaviour. Quantitative data was gathered from 169 Saudi who live in the UK. The factor tested are related to “culture” and composed of 5 personal information and an aggregation of this information for male and females. The early results of this study show that there are some changes that have been noticed in the behaviour of Saudi living in the UK. However, some cultural aspects still remain within the community. |
Keywords | Online behaviour; Personal Information; E-Commerce; Quantitative data |
Year | 2014 |
Conference | 22nd IBIMA Conference |
Journal | 22nd IBIMA Conference |
Publisher | IBIMA |
Web address (URL) | https://www.researchgate.net/publication/340597982_The_Effect_of_a_Different_Environment_in_Providing_Personal_Information_in_E-Commerce_The_Case_of_Saudis_Living_in_the_UK |
ISBN | 978-0-9860419-1-4 |
Web address (URL) of conference proceedings | https://ibima.org/conference/22nd-ibima-conference/#ffs-tabbed-15 |
Output status | Published |
Publication dates | Nov 2014 |
Publication process dates | |
Deposited | 07 Jun 2023 |
https://repository.derby.ac.uk/item/9z1yx/the-effect-of-a-different-environment-on-providing-personal-information-when-engaging-in-e-commerce-the-case-of-saudis-in-the-uk
9
total views0
total downloads0
views this month0
downloads this month
Export as
Related outputs
Diagnosis of Breast Cancer Based on Hybrid Features Extraction in Dynamic Contrast Enhanced Magnetic Resonance Imaging
Hasan, A.M., Aljobouri, H.K., Al-Waely, K.N.A., Ibrahim, W.I., Jalab, H.A. and Meziane, F. 2023. Diagnosis of Breast Cancer Based on Hybrid Features Extraction in Dynamic Contrast Enhanced Magnetic Resonance Imaging. Neural Computing and Applications. pp. 1-14. https://doi.org/10.1007/s00521-023-08909-yClassification Model of Breast Masses in DCE-MRI Using Kinetic Curves Features with Quantum-Raina’s Polynomial Based Fusion
Hasan, A.M., Al-Waely, N.K.N., Ajobouri, H.K., Ibrahim, R.W., Jalab, H.A. and Meziane, F. 2023. Classification Model of Breast Masses in DCE-MRI Using Kinetic Curves Features with Quantum-Raina’s Polynomial Based Fusion. Biomedical Signal Processing and Control. 84, pp. 1-12. https://doi.org/10.1016/j.bspc.2023.105002The Impact of Arabic Diacritization on Word Embeddings
Abbache, M., Abbache, A., Xu, J.W., Meziane, F. and Wen, X.B. 2023. The Impact of Arabic Diacritization on Word Embeddings. ACM Transactions on Asian and Low-Resource Language Information Processing . pp. 1-32. https://doi.org/10.1145/3592603
A review of the generation of requirements specification in natural language using objects UML models and domain ontology
Abdalazeima, Alaa and Meziane, Farid 2021. A review of the generation of requirements specification in natural language using objects UML models and domain ontology. Procedia Computer Science. 189, pp. 328-334. https://doi.org/10.1016/j.procs.2021.05.102Mitigation of Popularity Bias in Recommendation Systems
Karboua, S., Harrag, F., Meziane, F. and Boutadjine, A. 2022. Mitigation of Popularity Bias in Recommendation Systems. Tunisian-Algerian Joint Conference on Applied Computing. Constantine, Algeria 14 - 15 Dec 2022Describing Pulmonary Nodules Using 3D Clustering
Al-Funjan, A., Farid Meziane and Aspin, R. 2022. Describing Pulmonary Nodules Using 3D Clustering. Advanced Engineering Research. 22 (3), pp. 261-271. https://doi.org/10.23947/2687-1653-2022-22-3-261-271Credit Risk Prediction for Peer-To-Peer Lending Platforms: An Explainable Machine Learning Approach
Swee, C.P., Labadin, J. and Meziane, F. 2022. Credit Risk Prediction for Peer-To-Peer Lending Platforms: An Explainable Machine Learning Approach. Journal of Computing and Social Informatics. 1 (2), pp. 1-16. https://doi.org/10.33736/jcsi.4761.2022DCOPA: a distributed clustering based on objects performances aggregation for hierarchical communications in IoT applications
Mir, F. and Meziane, F. 2022. DCOPA: a distributed clustering based on objects performances aggregation for hierarchical communications in IoT applications. Cluster Computing. 26, p. 1077–1098. https://doi.org/10.1007/s10586-022-03741-w
Botnet detection used fast-flux technique, based on adaptive dynamic evolving spiking neural network algorithm
Almomani, Ammar, Nawasrah, Ahmad Al, Alauthman, Mohammad, Betar, Mohammed Azmi Al and Meziane, Farid 2021. Botnet detection used fast-flux technique, based on adaptive dynamic evolving spiking neural network algorithm. International Journal of Ad Hoc and Ubiquitous Computing. 36 (1), p. 50. https://doi.org/10.1016/j.cosrev.2020.100305
MRI brain classification using the quantum entropy LBP and deep-learning-based features
Hasan, Ali M., Jalab, Hamid A., Ibrahim, Rabha W., Meziane, Farid, AL-Shamasneh, Ala’a R. and Obaiys, Suzan J. 2020. MRI brain classification using the quantum entropy LBP and deep-learning-based features. Entropy. 22 (9), p. 1033. https://doi.org/10.3390/e22091033