Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Factors Influencing Shopping Cart Abandonment Among Gen Z in Indonesian E-Commerce

Authors: Axel, Muhammad; Gunawan, Annetta;

Factors Influencing Shopping Cart Abandonment Among Gen Z in Indonesian E-Commerce

Abstract

The rapid expansion of E-Commerce has significantly transformed consumer shopping behavior, particularly among Generation Z (Gen Z), the largest and most digitally engaged demographic in Indonesia. Despite the increasing adoption of online shopping, cart abandonment remains a persistent challenge, impacting conversion rates and revenue for E-Commerce platforms. This study aims to investigate the factors influencing shopping cart abandonment among Indonesian Gen Z consumers in the context of E-Commerce platforms. A quantitative approach was employed, utilizing Structural Equation Modeling (SEM) to analyze survey data from 350 respondents who have recently engaged in online shopping. The research explores six key determinants of cart abandonment is perceived cost, emotional ambivalence, internet search, offline inspection, complicated return policies, and waiting for discounts. The findings reveal that emotional ambivalence and waiting for discounts are the most significant predictors of cart abandonment, with emotional conflict causing decision fatigue and promotional delays prompting postponed purchases. In contrast, perceived cost, internet search, offline inspection, and return policies were found to have minimal impact on abandonment behavior. The results suggest that E-Commerce businesses targeting Gen Z should focus on enhancing consumer confidence through simplified decision-making processes and strategic promotional tactics to reduce cart abandonment rates. This study contributes valuable insights into the psychological and behavioral drivers of cart abandonment, offering practical implications for optimizing the online shopping experience for Indonesia’s Gen Z consumers.

Related Organizations
Keywords

Customer Behavior, Indonesia, Gen Z, Cart Abandonment, E-Commerce

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average