E-grocery continuance among older Malaysians: extending the technology acceptance model with psychological and physical health factors

As the population ages, traditional grocery shopping presents challenges for older adults, increasing food insecurity and reducing independence. E-grocery services provide a viable solution, yet their sustained use remains underexplored. Extending the Technology Acceptance Model, this study examines factors influencing older adults’ continued use of e-grocery services. Key predictors fall into three areas: technological (perceived ease of use and perceived usefulness), psychological (preference of human contact, independent living capabilities and aging in place), and physical health (physical conditions). Data were collected through a quantitative survey of 290 older adults in Malaysia with e-grocery experience. Partial Least Squares Structural Equation Modeling was employed for analysis. Results reveal that perceived usefulness in managing health and fostering independence significantly influences adoption. Notably, aging in place is a key driver, while perceived ease of use and the preference of human contact are less relevant. These findings highlight the need for e-grocery providers to emphasize benefits in health management, autonomy, and quality of life. Understanding these dynamics is crucial for businesses seeking to capture and sustain market share in the aging population.

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29875640
Primary Topic
Consumer Retail Behavior Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

E-grocery continuance among older Malaysians: extending the technology acceptance model with psychological and physical health factors

Figshare
Consumer Retail Behavior Studies
article

E-grocery continuance among older Malaysians: extending the technology acceptance model with psychological and physical health factors

article en

Abstract

As the population ages, traditional grocery shopping presents challenges for older adults, increasing food insecurity and reducing independence. E-grocery services provide a viable solution, yet their sustained use remains underexplored. Extending the Technology Acceptance Model, this study examines factors influencing older adults’ continued use of e-grocery services. Key predictors fall into three areas: technological (perceived ease of use and perceived usefulness), psychological (preference of human contact, independent living capabilities and aging in place), and physical health (physical conditions). Data were collected through a quantitative survey of 290 older adults in Malaysia with e-grocery experience. Partial Least Squares Structural Equation Modeling was employed for analysis. Results reveal that perceived usefulness in managing health and fostering independence significantly influences adoption. Notably, aging in place is a key driver, while perceived ease of use and the preference of human contact are less relevant. These findings highlight the need for e-grocery providers to emphasize benefits in health management, autonomy, and quality of life. Understanding these dynamics is crucial for businesses seeking to capture and sustain market share in the aging population.

Figshare
Zero hunger
Openalex Percentile: Top 42%
Consumer Retail Behavior Studies
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.

E-grocery continuance among older Malaysians: extending the technology acceptance model with psychological and physical health factors · Figshare (2025) | TGRS Research Map | TGRS