CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
Reseach Article

A New Model for Measuring Customer Utility Trust in Online Auctions

by El-Sayed M. El-Kenawy, Marwa Eid, Alshimaa H. Ismail
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 176 - Number 10
Year of Publication: 2020
Authors: El-Sayed M. El-Kenawy, Marwa Eid, Alshimaa H. Ismail
10.5120/ijca2020920030

El-Sayed M. El-Kenawy, Marwa Eid, Alshimaa H. Ismail . A New Model for Measuring Customer Utility Trust in Online Auctions. International Journal of Computer Applications. 176, 10 ( Apr 2020), 36-39. DOI=10.5120/ijca2020920030

@article{ 10.5120/ijca2020920030,
author = { El-Sayed M. El-Kenawy, Marwa Eid, Alshimaa H. Ismail },
title = { A New Model for Measuring Customer Utility Trust in Online Auctions },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2020 },
volume = { 176 },
number = { 10 },
month = { Apr },
year = { 2020 },
issn = { 0975-8887 },
pages = { 36-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume176/number10/31240-2020920030/ },
doi = { 10.5120/ijca2020920030 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:42:10.059923+05:30
%A El-Sayed M. El-Kenawy
%A Marwa Eid
%A Alshimaa H. Ismail
%T A New Model for Measuring Customer Utility Trust in Online Auctions
%J International Journal of Computer Applications
%@ 0975-8887
%V 176
%N 10
%P 36-39
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Reports from the US Federal Bureau of investigation have indicated a lot of unethical activities taking place on the internet environments. Despite some technical challenges, ethical related complaints have elicited studies on trust in online commercial transactions like auctioneering. By looking closely on issues that are related to online trust, this study has developed a model that can be used to ascertain trust levels in various websites. The trust issues taken into consideration are Industry Reputation (Ri), Website Reputation (Wi), E-loyalty (Le), Price Premiums (Pp), Social Network (Sn), Value of Good (Vg), Ease of Use (Eu) and Company Satisfactory Transactions (St). In this respect, the level of trust in an auctioneering website has been equated to one’s utility. Presumably, if one derives satisfaction from more goods at the company, it is evident that his trust level will be higher. The model has been found to be of good reliability and validity in measuring trust levels in a survey in this study.

References
  1. El-Kenawy, E. S. M. T., El-Desoky, A. I., & Sarhan, A. M. (2014). A bidder strategy system for online auctions trust measurement. International Journal of Strategic Information Technology and Applications (IJSITA), 5(3), 37-47.
  2. Hassib, E. M., El-Desouky, A. I., Labib, L. M., & El-kenawy, E. S. M. WOA+ BRNN: An imbalanced big data classification framework using Whale optimization and deep neural network. Soft Computing, 1-20.
  3. M. A. Mohamed, M. E. A. Abou-Elsoud and M. M. Eid, "An efficient algorithm in extracting human iris Morphological features," 2009 International Conference on Networking and Media Convergence, Cairo, 2009, pp. 146-150.
  4. M. A. Mohamed, M. A. Abou-El-Soud and M. M. Eid, "Automated algorithm for iris detection and code generation," 2009 International Conference on Computer Engineering & Systems, Cairo, 2009, pp. 475-481.
  5. El-kenawy, E. S. M., El-Desoky, A. I., & Al-rahamawy, M. F. (2012). Distributing Graphic Rendering using Grid Computing with Load Balancing. International Journal of Computer Applications, 975, 888.
  6. El-kenawy, E. S. M. T. (2019). A Machine Learning Model for Hemoglobin Estimation and Anemia Classification. International Journal of Computer Science and Information Security (IJCSIS), 17(2).
  7. M. A. Mohamed, M. E. Abou-Elsoud and M. M. Eid, "Automated face recogntion system: Multi-input databases," The 2011 International Conference on Computer Engineering & Systems, Cairo, 2011, pp. 273-280.
  8. Hikal, N. A., & Eid, M. M. (2018). A new approach for palmprint image encryption based on hybrid chaotic maps. Journal of King Saud University-Computer and Information Sciences.
  9. Hassib, E. M., El-Desouky, A. I., El-kenawy, E. S. M., & Elghamrawy, S. (2019). An Imbalanced Big Data Mining Framework for Improving Optimization Algorithms Performance. IEEE Access.
  10. El-Knawy, E. S. M. T., & El-Desoky, A. I. (2016). TRUST MEASUREMENT FOR ONLINE AUCTIONS: PROPOSAL OF NEW MODEL. INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 12(2), 385-394.
  11. El-sayed, M., El-Desoky, A. I., & Sarhan, A. M. (2014). A bidder behavior learning intelligent system for trust measurement. International Journal of Computer Applications, 89(8).
  12. Reham Arnous, El-Sayed Towfek M El-kenawy and M Saber. A Proposed Routing Protocol for Mobile Ad Hoc Networks. International Journal of Computer Applications 178(41):26-30, August 2019.
  13. El-Sayed Towfek M El-kenawy. Trust Model for Dependable File Exchange in Cloud Computing. International Journal of Computer Applications 180(49):22-27, June 2018.
  14. Mohamed, M. A., Abou-El-Soud, M. E. A., & Eid, M. M. (2014). Iris detection and normalization in image domain based on morphological features. International Journal of Computer Science Issues (IJCSI), 11(1), 51.
  15. Eid, M. M., Mohamed, M. A., & Abou-El-Soud, M. A. (2015). Development of Iris Security System Using Adaptive Quality-Based Template Fusion. In Intelligent Data Analysis and Applications (pp. 265-278). Springer, Cham.
  16. El-Sayed Towfek M El-kenawy, M Saber and Reham Arnous. An Integrated Framework to Ensure Information Security Over the Internet. International Journal of Computer Applications 178(29):13-15, July 2019
  17. El-kenawy, E. S. M. T. (2018). Solar Radiation Machine Learning Production Depend on Training Neural Networks with Ant Colony Optimization Algorithms. IJARCCE, 7(5).DOI10.17148/IJARCCE.2018.751.
  18. H. Hassan, A. I. El-Desouky, A. Ibrahim, E. M. El-kenawy and R. Arnous, (2020) "Enhanced QoS-based Model for Trust Assessment in Cloud Computing Environment," in IEEE Access. doi: 10.1109/ACCESS.2020.2978452
  19. Noshy, M., Ibrahim, A., & Ali, H. A. (2018). Optimization of live virtual machine migration in cloud computing: A survey and future directions. Journal of Network
  20. Noshy, M., Ibrahim, A., & Ali, H. A. (2018). Optimization of live virtual machine migration in cloud computing: A survey and future directions. Journal of Network and Computer Applications, 110, 1-10.
  21. Ibrahim, A., Tharwat, A., Gaber, T., & Hassanien, A. E. (2018). Optimized superpixel and AdaBoost classifier for human thermal face recognition. Signal, Image and Video Processing, 12(4), 711-719.
  22. Elhosuieny, A., Salem, M., Thabet, A., & Ibrahim, A. (2019). ADOMC-NPR Automatic Decision-Making Offloading Framework for Mobile Computation Using Nonlinear Polynomial Regression Model. International Journal of Web Services Research (IJWSR), 16(4), 53-73.
  23. El-Gendy, E., Ibrahim, A. F., Saraya, S. F., & Areed, F. F. (2013). A sliding mode controller for a three-phase induction motor. International Journal of Computer Applications, 64(11).Ibrahim, A., Mohammed, S., & Ali, H. A. (2018, February). Breast cancer detection and classification using thermography: a review. In International Conference on Advanced Machine Learning Technologies and Applications (pp. 496-505). Springer, Cham.
Index Terms

Computer Science
Information Sciences

Keywords

Trust model Social networks Online Auctions Fraud