E-commerce app satisfaction: a design science research of mobile food ordering applications
The rapid surge of e-commerce post-COVID-19, driven by lockdowns and online reliance, led to a doubling of global internet sales in the pandemic's initial year, representing a fifth of total global sales. This trend is predicted to escalate, with e-commerce projected to constitute a quarter of...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/173688 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-173688 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1736882024-02-25T15:35:11Z E-commerce app satisfaction: a design science research of mobile food ordering applications Lim, Ryan Paul Augustine Han Yong L. G. Pee Wee Kim Wee School of Communication and Information peelg@ntu.edu.sg Computer and Information Science Social Sciences Design science Satisfaction E-commerce Mobile food ordering application The rapid surge of e-commerce post-COVID-19, driven by lockdowns and online reliance, led to a doubling of global internet sales in the pandemic's initial year, representing a fifth of total global sales. This trend is predicted to escalate, with e-commerce projected to constitute a quarter of global sales by 2025, posing challenges for business in cementing customer loyalty amidst heightened competition (Insider Intelligence, 2022). For e-commerce businesses in an oversaturated market, customer satisfaction is pivotal, as it significantly impacts hallmarks of business success such as customer loyalty, trust, and habitual use (Wijaya & Hariguna, 2019; Chen et al., 2008; Eid, 2011; Gajewska et al., 2020; Dhingra, 2020; Alalwan, 2020; Ilevia et al., 2022). In this context, mobile food ordering applications (MFOA) exemplify the convergence of expectation formation and fulfilment, offering insights into user satisfaction. Employing a design science research methodology (DSRM), this study proposes ten design principles aligned with Alalwan’s (2020) e- satisfaction model. To test these principles, twenty design features were created, evaluated, and released within a multinational food delivery app. A two-wave survey across a five-month period reveals increased customer satisfaction scores post-feature implementation, validating these empirically tested design principles for e-commerce satisfaction and providing practical guidance for designers and product managers in the evolving online economy. Master's degree 2024-02-23T02:36:24Z 2024-02-23T02:36:24Z 2023 Thesis-Master by Coursework Lim, R. P. A. H. Y. (2023). E-commerce app satisfaction: a design science research of mobile food ordering applications. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/173688 https://hdl.handle.net/10356/173688 en application/pdf Nanyang Technological University |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
Computer and Information Science Social Sciences Design science Satisfaction E-commerce Mobile food ordering application |
spellingShingle |
Computer and Information Science Social Sciences Design science Satisfaction E-commerce Mobile food ordering application Lim, Ryan Paul Augustine Han Yong E-commerce app satisfaction: a design science research of mobile food ordering applications |
description |
The rapid surge of e-commerce post-COVID-19, driven by lockdowns and online reliance, led to a doubling of global internet sales in the pandemic's initial year, representing a fifth of total global sales. This trend is predicted to escalate, with e-commerce projected to constitute a quarter of global sales by 2025, posing challenges for business in cementing customer loyalty amidst heightened competition (Insider Intelligence, 2022). For e-commerce businesses in an oversaturated market, customer satisfaction is pivotal, as it significantly impacts hallmarks of business success such as customer loyalty, trust, and habitual use (Wijaya & Hariguna, 2019; Chen et al., 2008; Eid, 2011; Gajewska et al., 2020; Dhingra, 2020; Alalwan, 2020; Ilevia et al., 2022). In this context, mobile food ordering applications (MFOA) exemplify the convergence of expectation formation and fulfilment, offering insights into user satisfaction. Employing a design science research methodology (DSRM), this study proposes ten design principles aligned with Alalwan’s (2020) e- satisfaction model. To test these principles, twenty design features were created, evaluated, and released within a multinational food delivery app. A two-wave survey across a five-month period reveals increased customer satisfaction scores post-feature implementation, validating these empirically tested design principles for e-commerce satisfaction and providing practical guidance for designers and product managers in the evolving online economy. |
author2 |
L. G. Pee |
author_facet |
L. G. Pee Lim, Ryan Paul Augustine Han Yong |
format |
Thesis-Master by Coursework |
author |
Lim, Ryan Paul Augustine Han Yong |
author_sort |
Lim, Ryan Paul Augustine Han Yong |
title |
E-commerce app satisfaction: a design science research of mobile food ordering applications |
title_short |
E-commerce app satisfaction: a design science research of mobile food ordering applications |
title_full |
E-commerce app satisfaction: a design science research of mobile food ordering applications |
title_fullStr |
E-commerce app satisfaction: a design science research of mobile food ordering applications |
title_full_unstemmed |
E-commerce app satisfaction: a design science research of mobile food ordering applications |
title_sort |
e-commerce app satisfaction: a design science research of mobile food ordering applications |
publisher |
Nanyang Technological University |
publishDate |
2024 |
url |
https://hdl.handle.net/10356/173688 |
_version_ |
1794549308451717120 |