Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/5043
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dc.contributor.authorIr. Dr. CHAN Chi Onen_US
dc.contributor.authorLiu, Ouen_US
dc.contributor.authorShi, Zhonghuien_US
dc.contributor.authorChong, Woonkianen_US
dc.contributor.authorMan, Ka-Loken_US
dc.date.accessioned2018-04-04T08:50:21Z-
dc.date.available2018-04-04T08:50:21Z-
dc.date.issued2017-
dc.identifier.citationIn Ao, SI., Kim, H., Huang, X., & Castillo, O. (Eds.). 2017. Transactions on engineering technologies, (pp. 61-71). Singapore: Springer.en_US
dc.identifier.isbn9789811039492-
dc.identifier.urihttp://hdl.handle.net/20.500.11861/5043-
dc.description.abstractThere 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.en_US
dc.language.isoenen_US
dc.publisherSingapore: Springeren_US
dc.titleCollege students' online purchase intention in big data eraen_US
dc.typeBook Chapteren_US
dc.identifier.doi10.1007/978-981-10-3950-8_5-
item.fulltextNo Fulltext-
Appears in Collections:Business Administration - Publication
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