Understanding consumers' intention to revisit bubble tea stores
An application of the theory of planned behaviour
Bibliographic Data
| ID | 21296463 |
|---|---|
| Authors | Kian Yeik Koay (0000-0002-6268-161X, Sunway University), Chee Wei Cheah (0000-0002-0007-3790, Shenzhen Technology University) |
| Year | 2023 |
| Volume | 125 |
| Issue | 3 |
| Pages | 994-1007 |
| Publication date | 2023-02-09 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | British Food Journal (JOURNAL) |
| Journal identifiers | ISSN: 0007-070X • E-ISSN: 1758-4108 |
| Publisher | Emerald (PUBLISHER) |
| DOI | 10.1108/bfj-01-2022-0025 |
| OpenAlex | W4281863594 |
| Language | EN |
| Citations received | 8 |
| References cited | 34 |
Purpose Although the bubble tea market has been growing rapidly in recent years, not many studies have been conducted to understand why consumers revisit bubble tea stores. This study aims to understand consumers' intention to revisit bubble tea stores drawing on the theory of planned behaviour (TPB). Design/methodology/approach Using the online survey method, data are collected from 166 bubble tea drinkers in Malaysia. Partial least squares structural equation modelling (PLS-SEM) is used to verify the hypotheses. Findings The findings indicate that attitudes, subjective norms and perceived behavioural control have a significant positive influence on revisit intention. In addition, product quality, price fairness and store atmosphere have a significant positive influence on attitudes. Support is not found for the positive influence of service quality on attitudes. Originality/value This study provides fresh insights into the factors that influence consumers' intention to revisit bubble tea stores with empirical data from Malaysia. Furthermore, this study also offers useful practical recommendations to bubble tea store owners or franchisers on how to retain consumers
Advertising · Bubble · Business · Control (management) · Economics · Management · Product (mathematics) · Quality (philosophy) · Statistics · Structural equation modeling · Theory of planned behavior · Value (mathematics) · Computer Science · Consumer Behavior in Brand Consumption and Identification · Customer Service Quality and Loyalty · Digital Marketing and Social Media · Marketing · Mathematics · Psychology
The impact of online customer service and store features on consumer experience and willingness to revisit their preferred online store
Understanding revisit intentions to green hotels among Chinese and international tourists
The Role of Well‐Being and Quality of Life in Shaping Chinese Residents' Support for Rural Tourism
More than a mere cup of bubble tea
Be different! Understanding the influence of bubble tea stores’ innovativeness on revisit intentions through emotions
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Integrating Altruism and the Theory of Planned Behavior to Predict Patronage Intention of a Green Hotel
A Study of Experiential Quality, Experiential Value, Experiential Satisfaction, Theme Park Image, and Revisit Intention
Efficacy of the Theory of Planned Behaviour
The theory of planned behavior
Common method biases in behavioral research
A new criterion for assessing discriminant validity in variance-based structural equation modeling
When to use and how to report the results of PLS-SEM
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Common Method Bias in PLS-SEM
Self-Reports in Organizational Research
Are consumers loyal to genetically modified food? Evidence from Australia
Understanding customer loyalty in the coffee shop industry (A survey in Jakarta, Indonesia)
A model of online food delivery service quality, customer satisfaction and customer loyalty
The role of social media in food waste prevention behaviour
The theory of planned behavior
Univariate and multivariate skewness and kurtosis for measuring nonnormality
Effects of Environmentally Friendly Perceptions on Customers' Intentions to Visit Environmentally Friendly Restaurants
Consumer Perceptions of Price (Un)Fairness
| Citations per year | 2.67 |
|---|---|
| Citation span | 2023 - 2026 (4) |
| Highly cited | No |