Please use this identifier to cite or link to this item:
Title: College students' online purchase intention in big data era
Authors: Ir. Dr. CHAN Chi On 
Liu, Ou 
Shi, Zhonghui 
Chong, Woonkian 
Man, Ka-Lok 
Issue Date: 2017
Publisher: Singapore: Springer
Source: In Ao, SI., Kim, H., Huang, X., & Castillo, O. (Eds.). 2017. Transactions on engineering technologies, (pp. 61-71). Singapore: Springer.
Abstract: There are huge amounts of data produced and accumulated in the business world every day. Business firms and other organizations are interested in discovering new business insight from the big data through Big Data Analytics (BDA) to increase business performance. This chapter discusses the application of BDA in e-commerce, and its impact on customers’ online purchase intention. We focus on the sample of college students because of the younger generation’s significant online purchasing power. To verify the hypothesized model, a survey method is adopted to collect data, and the Generalized Linear Model is used to analyse the data. The empirical study validates the hypothesized model and reveals the factors that affect customers’ online purchase intention.
Type: Book Chapter
ISBN: 9789811039492
DOI: 10.1007/978-981-10-3950-8_5
Appears in Collections:Business Administration - Publication

Show full item record

Page view(s)

Last Week
Last month
checked on Dec 2, 2022

Google ScholarTM

Impact Indices




Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.