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Measuring e-commerce adoption behaviour among gen-Z in Jakarta, Indonesia

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  • Lestari, Diyan

Abstract

The behavioural sciences and individual psychology suggest that many factors should be examined to determine e-commerce adoption. Understanding the individual motives of e-commerce adoption is very important for creating better technologies. Countries with a rapid pace of technological advancement will reap economic benefits in the long run. This study aims to analyse the e-commerce adoption behaviour of gen-Z using 1047 valid data observations. The Smart Partial Least Square (Smart PLS) analysis reveals a strong relationship among self-efficacy, perceived usefulness, attitude, intention, and e-commerce adoption. This study provides important findings with implications for both practical strategies and theoretical research.

Suggested Citation

  • Lestari, Diyan, 2019. "Measuring e-commerce adoption behaviour among gen-Z in Jakarta, Indonesia," Economic Analysis and Policy, Elsevier, vol. 64(C), pages 103-115.
    • Handle: RePEc:eee:ecanpo:v:64:y:2019:i:c:p:103-115
    DOI: 10.1016/j.eap.2019.08.004
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    1. Ritu Agarwal & Jayesh Prasad, 1998. "A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology," Information Systems Research, INFORMS, vol. 9(2), pages 204-215, June.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Ji Kyung Park & Deborah Roedder John, 2010. "Got to Get You into My Life: Do Brand Personalities Rub Off on Consumers?," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(4), pages 655-669, December.
    4. Priyanka Surendran, 2012. "Technology Acceptance Model: A Survey of Literature," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 2(4), pages 175-178, August.
    5. Samit CELA,, 2016. "The Attitudes And Purchase Intentions Towards Private Label Products, In The Context Of Economic Crisis: A Study Of Thessalonian Consumers," EcoForum, "Stefan cel Mare" University of Suceava, Romania, Faculty of Economics and Public Administration - Economy, Business Administration and Tourism Department., vol. 5(Special I), pages 1-10, august.
    6. Bagozzi, Richard P. & Baumgartner, Johann & Yi, Youjae, 1989. "An investigation into the role of intentions as mediators of the attitude-behavior relationship," Journal of Economic Psychology, Elsevier, vol. 10(1), pages 35-62, March.
    7. Dowling, Grahame R & Staelin, Richard, 1994. "A Model of Perceived Risk and Intended Risk-Handling Activity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(1), pages 119-134, June.
    8. Priyanka Surendran, 2012. "Technology Acceptance Model: A Survey of Literature," International Journal of Business and Social Research, LAR Center Press, vol. 2(4), pages 175-178, August.
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    Cited by:

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    2. Ariansyah, Kasmad & Sirait, Emyana Ruth Eritha & Nugroho, Badar Agung & Suryanegara, Muhammad, 2021. "Drivers of and barriers to e-commerce adoption in Indonesia: Individuals’ perspectives and the implications," Telecommunications Policy, Elsevier, vol. 45(8).
    3. Li, Xiaokang & Guo, Hongdong & Jin, Songqing & Ma, Wanglin & Zeng, Yiwu, 2021. "Do farmers gain internet dividends from E-commerce adoption? Evidence from China," Food Policy, Elsevier, vol. 101(C).
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    5. Li Jiang & Mei Zhao & Hao Lin & Lvyu Yang, 2022. "How Do Consumer Innovation Characteristics and Consumption Value Shape Users’ Willingness to Buy Innovative Car Safety Seats?," Sustainability, MDPI, vol. 15(1), pages 1-28, December.
    6. Robert Bumbac & Magdalena Bobe & Roxana Procopie & Rodica Pamfilie & Smaranda Giușcă & Calcedonia Enache, 2020. "How Zoomers’ Eating Habits Should be Considered in Shaping the Food System for 2030—A Case Study on the Young Generation from Romania," Sustainability, MDPI, vol. 12(18), pages 1-18, September.
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    8. Kajol, K. & Singh, Ranjit & Paul, Justin, 2022. "Adoption of digital financial transactions: A review of literature and future research agenda," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
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    More about this item

    Keywords

    Personal innovativeness; Self-efficacy; Perceived usefulness; Perceived risk; Attitude; Intention; E-commerce adoption;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • M38 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Government Policy and Regulation
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

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