Understanding Gen Z’s Online Purchase Behavior through their Hedonic and Utilitarian Motivation

The COVID-19 pandemic ushered in lockdowns, limiting consumer movement to their homes and preventing consumers from shopping in brick-and-mortar stores. Consequently, consumers were reliant on e-commerce to manage their daily purchases of goods and services. This exacerbated the use of e-commerce and fast-tracked the growth of the digital economy. In this study, Gen Z’s consumer motivation is investigated using hedonic and utilitarian motivation and the Unified Theory of Acceptance and Use of Technology (UTAUT). Consumer motivation remains a crucial part of consumer behavior studies given its prominence in influencing consumer action, consumer decision-making and preferences. In particular, the effects of hedonic and utilitarian motivation on online purchase behavior were investigated. This study utilized a quantitative approach through the deployment of a survey questionnaire online. The data from 156 respondents was analyzed using SmartPLS 4.0 utilizing Partial-Least Squares Structural Equation Modelling. Approximately 44% of the respondents started shopping online for the first time during the pandemic (i.e., 2020 and 2022). The results indicated that the Gen Z respondents were motivated by utilitarian and hedonic motivation when shopping online, in particular by Idea Shopping motivation and Efficiency motivation. Additionally, Social Influence and Facilitating Conditions were significant factors in influencing Behavioural Intention, and Behavioural Intention influenced Purchase Behaviour. The evidence suggests that the respondents were not novice online shoppers but rather experienced online shoppers.

Authors

Institutions

Publication Details

Journal
Information Management and Business Review
Published
2024-10-27
DOI
https://doi.org/10.22610/imbr.v16i3s(i)a.4217
Citations
1
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
1.05
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding Gen Z’s Online Purchase Behavior through their Hedonic and Utilitarian Motivation

Yvonne Su Ming Ang
1 citations
Information Management and Business Review
Technology Adoption and User Behaviour
1.05
article

Understanding Gen Z’s Online Purchase Behavior through their Hedonic and Utilitarian Motivation

Yvonne Su Ming Ang
article en
1 citations

Abstract

The COVID-19 pandemic ushered in lockdowns, limiting consumer movement to their homes and preventing consumers from shopping in brick-and-mortar stores. Consequently, consumers were reliant on e-commerce to manage their daily purchases of goods and services. This exacerbated the use of e-commerce and fast-tracked the growth of the digital economy. In this study, Gen Z’s consumer motivation is investigated using hedonic and utilitarian motivation and the Unified Theory of Acceptance and Use of Technology (UTAUT). Consumer motivation remains a crucial part of consumer behavior studies given its prominence in influencing consumer action, consumer decision-making and preferences. In particular, the effects of hedonic and utilitarian motivation on online purchase behavior were investigated. This study utilized a quantitative approach through the deployment of a survey questionnaire online. The data from 156 respondents was analyzed using SmartPLS 4.0 utilizing Partial-Least Squares Structural Equation Modelling. Approximately 44% of the respondents started shopping online for the first time during the pandemic (i.e., 2020 and 2022). The results indicated that the Gen Z respondents were motivated by utilitarian and hedonic motivation when shopping online, in particular by Idea Shopping motivation and Efficiency motivation. Additionally, Social Influence and Facilitating Conditions were significant factors in influencing Behavioural Intention, and Behavioural Intention influenced Purchase Behaviour. The evidence suggests that the respondents were not novice online shoppers but rather experienced online shoppers.

Information Management and Business ReviewVol. 16(3S(I)a)
Universiti Teknologi MARA (MY)
Openalex Percentile: Top 13%
Technology Adoption and User Behaviour
1.05
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.