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AIC Algorithm for Online Purchasing Intention
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Author(s): Bui Huy Khoi (Industrial University of Ho Chi Minh City, Vietnam)
Copyright: 2021
Pages: 12
Source title:
Blockchain Technology and Applications for Digital Marketing
Source Author(s)/Editor(s): Rohit Bansal (Department of Management Studies, Vaish College of Engineering, Rohtak, India), Pacha Malyadri (ICSSR, Center for Economic and Social Studies, India), Amandeep Singh (Chitkara Business School, Chitkara University, Punjab, India)and Asif Pervez (Jamia Millia Islamia University, India)
DOI: 10.4018/978-1-7998-8081-3.ch004
Purchase
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Abstract
In recent years, the internet market in Vietnam has developed strongly, leading to many forms of electronic business being born and with rapid growth. Online shopping is seen as the solution to cost-effective, fast, and convenient shopping. This chapter was based on concepts and theoretical grounds related to behavior intention to accept and apply new technology to form the proposed research model. It consists of three independent factors—(1) utility perception, (2) trust, (3) social influence—and one dependent factor, online purchasing intention. This study reveals the optimal choice by the AIC algorithm.
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