Towards Improving E-commerce Users Experience Using Personalization & Persuasive Technology

被引:5
作者
Adaji, Ifeoma [1 ]
机构
[1] Univ Saskatchewan, Saskatoon, SK, Canada
来源
PROCEEDINGS OF THE 25TH CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION (UMAP'17) | 2017年
关键词
Personalization; persuasive technology; e-commerce;
D O I
10.1145/3079628.3079707
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
With the increase in the number of e-commerce companies over the last decade, there is stiffer competition for e-businesses to win and retain customers. Companies have to give clients reasons to shop with them and become return customers. The use of personalization strategies and persuasive technology have been identified as means through which e-businesses can engage their clients and give them a unique shopping experience. To contribute to ongoing research in personalization and persuasive technology in e-commerce, my thesis proposes a framework that can create a personalized shopping experience for clients using the consumers' personality and shopping type. This paper presents the results of the first stage of my research which is a user study carried out on 324 e-commerce shoppers to identify the persuasive strategies and its implementation in an e-commerce site, Amazon, and to evaluate the persuasiveness of these strategies to consumers. The result of this thesis can contribute to ongoing research in development of personalization and persuasive strategies that work in e-commerce especially for new companies.
引用
收藏
页码:318 / 321
页数:4
相关论文
共 50 条
[21]   Using XML Technology to Build E-commerce System [J].
Duan, Qing .
ADVANCES IN FUTURE COMPUTER AND CONTROL SYSTEMS, VOL 1, 2012, 159 :53-58
[22]   THE EVALUATION OF ONLINE PERSUASION CRITERIA ON E-COMMERCE WEBSITE USING PERSUASIVE SYSTEM DESIGN (PSD) MODEL [J].
Loh, Yin-Xia ;
Hamid, Nor Aziati Binti Abdul .
INTERNATIONAL JOURNAL OF BUSINESS AND SOCIETY, 2021, 22 (03) :1143-1157
[23]   Consumers' Need for Uniqueness and the Influence of Persuasive Strategies in E-commerce [J].
Adaji, Ifeoma ;
Oyibo, Kiemute ;
Vassileva, Julita .
PERSUASIVE TECHNOLOGY, PERSUASIVE 2018, 2018, 10809 :279-284
[24]   Personalization Features on Business-to-Consumer E-Commerce: Review and Future Directions [J].
Dzulfikar, Muhammad Fadhil ;
Purwandari, Betty ;
Sensuse, Dana Indra ;
Lusa, Jonathan Sofian ;
Solichah, Iis ;
Prima, Pudy ;
Wilarso, Iik .
2018 4TH INTERNATIONAL CONFERENCE ON INFORMATION MANAGEMENT (ICIM2018), 2018, :220-224
[25]   PERSONALIZATION RESEARCH IN E-COMMERCE - A STATE OF THE ART REVIEW (2000-2008) [J].
Adolphs, Christoph ;
Winkelmann, Axel .
JOURNAL OF ELECTRONIC COMMERCE RESEARCH, 2010, 11 (04) :326-341
[26]   The Usefulness of e-Commerce in Studies on Polish Users [J].
Banas, Jaroslaw ;
Pastuszak, Zbigniew .
PROBLEMY ZARZADZANIA-MANAGEMENT ISSUES, 2015, 13 (02) :24-36
[27]   Protecting the privacy of users in e-commerce environment [J].
Chen, CH ;
Horng, G .
INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATIONS AND CONTROL TECHNOLOGIES, VOL 1, PROCEEDINGS, 2004, :63-67
[28]   An Advanced Recommendation System for E-commerce Users [J].
Tyagi, Ramkumari ;
Jawdekar, Anand .
2016 SYMPOSIUM ON COLOSSAL DATA ANALYSIS AND NETWORKING (CDAN), 2016,
[29]   E-commerce intelligent agent: Personalization travel support agent using Q learning [J].
Srivihok, Anongnart ;
Sukonmanee, Pisit .
SEVENTH INTERNATIONAL CONFERENCE ON ELECTRONIC COMMERCE, VOLS 1 AND 2, SELECTED PROCEEDINGS, 2005, :287-292
[30]   Research of E-Commerce Security Technology [J].
Hong, Xie .
MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8, 2012, 433-440 :3548-3552