Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Factors Affecting Users Decision Making for Personalized Information in Ecommerce Sites Dr. Darshana Desai#1
PaperId: :  12237
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 6 Issue 3 2020
DUI:    16.0415/IJARIIE-12237
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Dr. Darshana DesaiIndira College of Engineering & Management

Abstract

Computer Application, Information Technology
Web Personalization, Information Personalization, Cognitive experience,, satisfaction, perceived ease of use, perceived usefulness,enjoyment, Stimulus Organism Response
Information Personalization is frequently used to reduce information overload, retain customers and leverage business by online web portals in recent years. Still, less attention has been paid to the validity of information personalization and its influence on users’ decision making. To address this gap, the study draws models and proposes a personalization model for users information processing and decision making. Personalized information induces cognitive experience during interaction with websites which in turn generates satisfaction and effects on users’ decision making to revisit the personalized website. Research identifies personalized information used in e-commerce websites, proposes research models and validates it empirically. The result validates the proposed model with Exploratory Factor Analysis (EFA) having four factors as information personalization, cognitive experience, satisfaction and intention to revisit personalized websites with 547 valid responses collected through convenience sampling from ecommerce website users. Confirmatory Factor Analysis (CFA) result shows interrelation of constructs information personalization on users cognitive experience, satisfaction and intention to revisit. Research shows that relevant and quality personalized information in websites play an important role in forming a user's positive cognitive experience induce perceived ease of use, usefulness, enjoyment to instill higher satisfaction and revisit of e-commerce websites.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Dr. Darshana Desai. "Factors Affecting Users Decision Making for Personalized Information in Ecommerce Sites Dr. Darshana Desai#1" International Journal Of Advance Research And Innovative Ideas In Education Volume 6 Issue 3 2020 Page 1916-1927
MLA Dr. Darshana Desai. "Factors Affecting Users Decision Making for Personalized Information in Ecommerce Sites Dr. Darshana Desai#1." International Journal Of Advance Research And Innovative Ideas In Education 6.3(2020) : 1916-1927.
APA Dr. Darshana Desai. (2020). Factors Affecting Users Decision Making for Personalized Information in Ecommerce Sites Dr. Darshana Desai#1. International Journal Of Advance Research And Innovative Ideas In Education, 6(3), 1916-1927.
Chicago Dr. Darshana Desai. "Factors Affecting Users Decision Making for Personalized Information in Ecommerce Sites Dr. Darshana Desai#1." International Journal Of Advance Research And Innovative Ideas In Education 6, no. 3 (2020) : 1916-1927.
Oxford Dr. Darshana Desai. 'Factors Affecting Users Decision Making for Personalized Information in Ecommerce Sites Dr. Darshana Desai#1', International Journal Of Advance Research And Innovative Ideas In Education, vol. 6, no. 3, 2020, p. 1916-1927. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Factors_Affecting_Users_Decision_Making_for_Personalized_Information_in_Ecommerce_Sites_Dr__Darshana_Desai_1_ijariie12237_converted.pdf (Accessed : 02 September 2022).
Harvard Dr. Darshana Desai. (2020) 'Factors Affecting Users Decision Making for Personalized Information in Ecommerce Sites Dr. Darshana Desai#1', International Journal Of Advance Research And Innovative Ideas In Education, 6(3), pp. 1916-1927IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Factors_Affecting_Users_Decision_Making_for_Personalized_Information_in_Ecommerce_Sites_Dr__Darshana_Desai_1_ijariie12237_converted.pdf (Accessed : 02 September 2022)
IEEE Dr. Darshana Desai, "Factors Affecting Users Decision Making for Personalized Information in Ecommerce Sites Dr. Darshana Desai#1," International Journal Of Advance Research And Innovative Ideas In Education, vol. 6, no. 3, pp. 1916-1927, May-Jun 2020. [Online]. Available: https://ijariie.com/AdminUploadPdf/Factors_Affecting_Users_Decision_Making_for_Personalized_Information_in_Ecommerce_Sites_Dr__Darshana_Desai_1_ijariie12237_converted.pdf [Accessed : 02 September 2022].
Turabian Dr. Darshana Desai. "Factors Affecting Users Decision Making for Personalized Information in Ecommerce Sites Dr. Darshana Desai#1." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 6 number 3 (02 September 2022).
Vancouver Dr. Darshana Desai. Factors Affecting Users Decision Making for Personalized Information in Ecommerce Sites Dr. Darshana Desai#1. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2020 [Cited : 02 September 2022]; 6(3) : 1916-1927. Available from: https://ijariie.com/AdminUploadPdf/Factors_Affecting_Users_Decision_Making_for_Personalized_Information_in_Ecommerce_Sites_Dr__Darshana_Desai_1_ijariie12237_converted.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 9/2/2022 7:23:01 AM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
PREDICTING GENETIC VARIANTS PATHOGENECITYComputer EngineeringSyed Arbeena Kausar Download
ANDROID MALWARE DETECTION USING MACHINE LEARNING TECHNIQUESCOMPUTER SCIENCE AND ENGINEERINGS. Saiful Islam Download
IMPROVING HEALTHCARE PREDICTION OF DIABETIC PATIENTS USING KNN IMPUTED FEATURES AND TRI-ENSEMBLE MODELCOMPUTER SCIENCE AND ENGINEERINGS. Mahammad Arif Download
MONEY LAUNDERING DETECTION USING MACHINE LEARNING METHODSCOMPUTER SCIENCE AND ENGINEERINGY B. Shashank Raj Download
LEVERAGING SPATIOTEMPORAL PATTERNS FOR CYBER ATTACK DETECTION IN DISTRIBUTION SYSTEMCOMPUTER SCIENCE AND ENGINEERINGV. Kumar Download
Real-Time Heart Disease Prediction Using Machine LearningCOMPUTER SCIENCE AND ENGINEERINGP. Sri Pavan Hari Charan Download
HAND AND FACE LANDMARKS DETECTION USING MEDIA PIPE AND AICOMPUTER SCIENCE AND ENGINEERINGK. V. Bharath Kumar Download
VEHICLES SPEED DETECTION SYSTEM USING OPENCVCOMPUTER SCIENCE AND ENGINEERINGS. Santosh Download
SUSPICIOUS HUMAN ACTIVITY RECOGNITION FROM SURVEILLANCE VIDEOS USING DEEP LEARNINGCOMPUTER SCIENCE AND ENGINEERINGM. Lakshmi kanth Download
DETECTION OF THYROID DISORDERS USING MACHINE LEARNING APPOARCHCOMPUTER SCIENCE AND ENGINEERINGP. Shamiulla Download
Events Recommendation SystemComputer Science and EngineeringDharsana S Download
Online Attendance Using Web ApplicationComputer EngineeringMrs. P. Saranya Download
Automated Pneumonia Detection Using ResNet50 Deep Learning ModelDepartment of Computer Science & Engineering, D.Y.Patil Technical Campus, Shivaji University, KolhapurSohan Sanjay Kamalakar Download
MULTI-DISEASE DETECTION USING MACHINE LEARNINGComputer EngineeringNamithadevi N N Download
NETWORK TRAFFIC ANALYSIS WITH BIG DATA AND DEEP LEARNING TECHNIQUESCOMPUTER SCIENCE AND ENGINEERINGD VYSHNAVI Download
12