Impact of cashback usage restriction exemption on travel booking
A goal-directed approach
Bibliographic Data
| ID | 11410794 |
|---|---|
| Authors | Pankaj Vishwakarma (0000-0002-5839-2372, Indian Institute of Technology Kharagpur), Srabanti Mukherjee (0000-0002-3546-2251, Indian Institute of Technology Kharagpur, corresponding author), Biplab Datta (0000-0002-9498-8640, Indian Institute of Technology Kharagpur) |
| Year | 2020 |
| Volume | 45 |
| Issue | 2 |
| Pages | 218-230 |
| Publication date | 2020-04-02 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Tourism Recreation Research (JOURNAL) |
| Journal identifiers | ISSN: 0250-8281 • E-ISSN: 2320-0308 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/02508281.2019.1683687 |
| OpenAlex | W2983234829 |
| Language | EN |
| Citations received | 4 |
| References cited | 56 |
The purpose of this study is to examine the impact of cashback usage restriction exemption (CURE) on travelers’ intention to prefer a brand’s mobile application (m-app). Using a mixed-method approach, we have established that the CURE enhances the intention to use a brand’s m-app. It was observed that the subjective norms, perceived behavioural control, anticipated positive emotions, and frequency of past behaviour affected the travelers’ desire to use a particular brand’s m-app for travel bookings if CURE is provided. Moreover, if CURE is added as an additional construct to the model, then the extended Model of Goal-Directed Behaviour (MGB) predicts the intention better than the extended Theory of Planned Behaviour (TPB)
Advertising · Business · Construct (python library · Control (management · Mobile apps · Political science · Theory of planned behavior · Tourism · Behavioral Health and Interventions · Computer Science · Digital Marketing and Social Media · Law · Psychology · Social Psychology · Technology Adoption and User Behaviour · Artificial Intelligence · Marketing
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| Unique citing works | 4 |
|---|---|
| Citations per year | 1.33 |
| Citation span | 2023 - 2025 (3) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 4 |