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Online Purchase Intention Factors in Indonesian Millenial

Author

Listed:
  • Rizka Annisa Fitri

    (Masters in Management Program, Universitas Mercu Buana Jakarta, Indonesia,)

  • Ririn Wulandari

    (Assistant Professor in Masters Management Program of Gradute Program, Mercu Buana University, Indonesia.)

Abstract

Millennials live in an era that has high mobility and connected to the internet, thus impacting their desire to transact through an online platform. The results of this study indicate that online purchase intentions for Indonesian millennial are not affected by perceived of risk and social influences. But they still pay attention to the factors of perceived ease, usefulness, and price perceptions. The results of this study strengthen and develop the technology acceptance model theory by adding price perceptions, in addition to perceptions of ease and perceived usefulness in adopting the latest technology, online shopping at e-commerce Shopee Indonesia. That is the uniqueness of the result of this research. This research uses quantitative methods, with a sample of 260 respondents, determined using purposive sampling. Data were collected using an online questionnaire with an ordinal scale and analyzed using multiple linear analysis techniques assisted by software SPSS 23.0.

Suggested Citation

  • Rizka Annisa Fitri & Ririn Wulandari, 2020. "Online Purchase Intention Factors in Indonesian Millenial," International Review of Management and Marketing, Econjournals, vol. 10(3), pages 122-127.
  • Handle: RePEc:eco:journ3:2020-03-16
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    References listed on IDEAS

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    1. Hatice Kizgin & Ahmad Jamal & Bidit Lal Dey & Nripendra P. Rana, 2018. "The Impact of Social Media on Consumers’ Acculturation and Purchase Intentions," Information Systems Frontiers, Springer, vol. 20(3), pages 503-514, June.
    2. Abdollah Naami & Zahra Rahimi & Parisa Ghandvar, 2017. "The Effect of Perceived Value, Perceived Risk, and Price on Customers Buying Intention (Case Study: Employees of Presov Electronics Company)," International Review of Management and Marketing, Econjournals, vol. 7(5), pages 164-170.
    3. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    4. Chia-Nan Wang & Dinh-Chien Dang & Nguyen Van Thanh, 2018. "A Study on Factors of the E-Purchasing Product Intention toward a Dynamic Vietnamese Internet Shopping," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(10), pages 121-121, October.
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    Cited by:

    1. Dezie Leonarda Warganegara & Roozbeh Babolian Hendijani, 2022. "Factors That Drive Actual Purchasing of Groceries through E-Commerce Platforms during COVID-19 in Indonesia," Sustainability, MDPI, vol. 14(6), pages 1-21, March.

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    More about this item

    Keywords

    E-commerce; Technology Acceptance Model; Price; Risk; Social influences; Online Purchase Intention;
    All these keywords.

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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