Behavioural insights into older adults’ intention to use self-service technology in restaurants

Businesses are switching to self-service technology to meet the growing demand of customers and improve customer satisfaction. Although these technologies are becoming more common nowadays, the adoption and usage of self-service technology remain relatively underexplored, especially among older adults. Therefore, this study aims to explore the factors influencing older adults’ intention towards self-service technologies by integrating Technology Acceptance Model and Theory of Planned Behaviour. Data for the study was collected from 102 older adults aged 55 and above in Klang Valley, Malaysia. Findings revealed that perceived ease of use, perceived behavioural control, subjective norm, and ICT knowledge positively influence perceived usefulness and attitude towards self-service technology in restaurants. This suggests that older adults find self-service technology easy to use and they are more likely to view self-service technology as beneficial and adopt a favourable attitude towards it. This study highlights the need for technology developers and policymakers to prioritise user-centric designs, particularly for older adults, when designing self-service technologies. Future research should address the study’s limitations by exploring new variables and employing longitudinal approaches to better understand older adults’ attitudes and intention towards self-service technologies.

Authors

Institutions

Publication Details

Journal
International Journal of Innovative Research and Scientific Studies
Published
2025-09-19
DOI
https://doi.org/10.53894/ijirss.v8i6.10109
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

Behavioural insights into older adults’ intention to use self-service technology in restaurants

Lilian Anthonysamy, Suk Min Pang, Niharitha Devi Anbealagan
International Journal of Innovative Research and Scientific Studies
Consumer Retail Behavior Studies
article

Behavioural insights into older adults’ intention to use self-service technology in restaurants

Lilian Anthonysamy, Suk Min Pang, Niharitha Devi Anbealagan
article en

Abstract

Businesses are switching to self-service technology to meet the growing demand of customers and improve customer satisfaction. Although these technologies are becoming more common nowadays, the adoption and usage of self-service technology remain relatively underexplored, especially among older adults. Therefore, this study aims to explore the factors influencing older adults’ intention towards self-service technologies by integrating Technology Acceptance Model and Theory of Planned Behaviour. Data for the study was collected from 102 older adults aged 55 and above in Klang Valley, Malaysia. Findings revealed that perceived ease of use, perceived behavioural control, subjective norm, and ICT knowledge positively influence perceived usefulness and attitude towards self-service technology in restaurants. This suggests that older adults find self-service technology easy to use and they are more likely to view self-service technology as beneficial and adopt a favourable attitude towards it. This study highlights the need for technology developers and policymakers to prioritise user-centric designs, particularly for older adults, when designing self-service technologies. Future research should address the study’s limitations by exploring new variables and employing longitudinal approaches to better understand older adults’ attitudes and intention towards self-service technologies.

International Journal of Innovative Research and Scientific StudiesVol. 8(6)
Multimedia University (MY)
Openalex Percentile: Top 67%
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.