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College Students’ Online Purchase Intention in Big Data Era

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Transactions on Engineering Technologies (IMECS 2016)

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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.

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Author information

Authors and Affiliations

  1. International Business School Suzhou, Xi’an Jiaotong-Liverpool University, Suzhou, 215123, China

    Ou Liu, Zhonghui Shi & Woonkian Chong

  2. Department of Computer Science & Software Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China

    Ka-Lok Man

  3. Hong Kong Shue Yan University, Hong Kong, China

    Chi-On Chan

Authors
  1. Ou Liu
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  2. Zhonghui Shi
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  3. Woonkian Chong
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  4. Ka-Lok Man
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  5. Chi-On Chan
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Corresponding author

Correspondence to Ou Liu .

Editor information

Editors and Affiliations

  1. IAENG Secretariat, International Association of Engineers, Hong Kong, Hong Kong

    Sio-Iong Ao

  2. Engineering College, Catholic University of DaeGu Engineering College, DaeGu, Korea (Republic of)

    Haeng Kon Kim

  3. Rm 6C63, Faculty of Ed Sci Tech, University of Canberra Rm 6C63, Faculty of Ed Sci Tech, Canberra, Aust Capital Terr, Australia

    Xu Huang

  4. Instituto Tecnologico de Tijuana, Tijuana, Mexico

    Oscar Castillo

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© 2017 Springer Nature Singapore Pte Ltd.

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Liu, O., Shi, Z., Chong, W., Man, KL., Chan, CO. (2017). College Students’ Online Purchase Intention in Big Data Era. In: Ao, SI., Kim, H., Huang, X., Castillo, O. (eds) Transactions on Engineering Technologies. IMECS 2016. Springer, Singapore. https://doi.org/10.1007/978-981-10-3950-8_5

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  • DOI: https://doi.org/10.1007/978-981-10-3950-8_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3949-2

  • Online ISBN: 978-981-10-3950-8

  • eBook Packages: EngineeringEngineering (R0)

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