Correlation between Consumer Characteristics and the International Coffee Chain Brand Membership System: The Gamification Perspective through Apps

We explored the correlation between consumer characteristics and international coffee chain brand membership apps. From the perspective of a gamified system, we analyzed differences in members’ experiences when using the app. Three elements of the gamification system of the MDE theory were used to analyze members’ gamification sentiments: “Achievement”, “Challenges”, and “Immediate Feedback”. Variables representing members’ characteristics included gender, age, education level, occupation, monthly income, and recent consumption frequency. In using branded apps, males experienced a stronger sense of “Achievement” compared to females. However, there was no significant difference among members with varying monthly incomes regarding these three gamification elements. Members who made one to four purchases displayed higher levels of “Challenge” and “Immediate Feedback” than those who made no purchases. Such results underscore the importance of member characteristics in diverse gamification experiences. It is recommended that coffee chain brands customize their apps to align with the distinct preferences of their member demographics. Additionally, for members who make frequent purchases, brands must design various challenge levels and provide advanced feedback to enhance their engagement in the gamified system.

Authors

Institutions

Publication Details

Published
2024-09-04
DOI
https://doi.org/10.3390/engproc2024074051
Primary Topic
Digital Games and Media
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Correlation between Consumer Characteristics and the International Coffee Chain Brand Membership System: The Gamification Perspective through Apps

Chih‐Wei Lin, Chi-Pei Ou Yang, Wei-Hsun Hsu, C. Katherine Wang et al.
Digital Games and Media
article

Correlation between Consumer Characteristics and the International Coffee Chain Brand Membership System: The Gamification Perspective through Apps

Chih‐Wei Lin, Chi-Pei Ou Yang, Wei-Hsun Hsu, C. Katherine Wang, Shanshan Chen, Ming-Ju Lu
article en

Abstract

We explored the correlation between consumer characteristics and international coffee chain brand membership apps. From the perspective of a gamified system, we analyzed differences in members’ experiences when using the app. Three elements of the gamification system of the MDE theory were used to analyze members’ gamification sentiments: “Achievement”, “Challenges”, and “Immediate Feedback”. Variables representing members’ characteristics included gender, age, education level, occupation, monthly income, and recent consumption frequency. In using branded apps, males experienced a stronger sense of “Achievement” compared to females. However, there was no significant difference among members with varying monthly incomes regarding these three gamification elements. Members who made one to four purchases displayed higher levels of “Challenge” and “Immediate Feedback” than those who made no purchases. Such results underscore the importance of member characteristics in diverse gamification experiences. It is recommended that coffee chain brands customize their apps to align with the distinct preferences of their member demographics. Additionally, for members who make frequent purchases, brands must design various challenge levels and provide advanced feedback to enhance their engagement in the gamified system.

Chaoyang University of Technology (TW)
Openalex Percentile: Top 76%
Digital Games and Media
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.