EconPapers    
Economics at your fingertips  
 

Exploring resistance barriers in travelers' word of mouth for mobile payment systems: Mediating effects of trust and usage intention

Irfan Hameed, Imran Hameed, Umair Akram, Ghulam Ali Arain and Riyad Eid

Technological Forecasting and Social Change, 2024, vol. 209, issue C

Abstract: Emerging technologies, such as mobile payment systems (MPS), continue to affect people from all walks of life, including travelers' behaviors. Following the innovation resistance theory (IRT) framework, the current study examined the link between innovation resistance barriers (i.e., usage, value, risk, tradition, and image) and word of mouth (WOM) for MPS usage in the travel industry. Specifically, we integrated trust theory and examined how these innovation resistance barriers affect trust, which then affects MPS usage intention and subsequently affects WOM for MPS. Following the two-study research design, multi-wave data were collected from 403 participants in Study 1 and 378 participants in Study 2. The results supported the serial mediation of trust and MPS usage intention for the relationships between usage, value, and tradition barriers and WOM for MPS. Our findings contribute to travel and consumer behavior theory and practice by explaining how and why specific innovation barriers negatively influence WOM for MPS usage in the travel industry.

Keywords: Mobile payment system; Word of mouth; Usage intention; Trust; Innovation resistance theory (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162524005699
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:209:y:2024:i:c:s0040162524005699

DOI: 10.1016/j.techfore.2024.123771

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:tefoso:v:209:y:2024:i:c:s0040162524005699