Determinants of Intention to Use Ride-Hailing Services in Vietnam: An Integrated Model of Perceived Value and Trust Transfer Theory

Determinants of Intention to Use Ride-Hailing Services in Vietnam: An Integrated Model of Perceived Value and Trust Transfer Theory

Thao Thi Thanh Vo, Trong Hung Van
Copyright: © 2022 |Pages: 10
DOI: 10.4018/IJSI.313382
OnDemand:
(Individual Articles)
Available
$37.50
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

The rise of ride-hailing services—a unique transportation technology that has recently been progressively popular worldwide—has revolutionized the transportation business. They currently make up the majority of platform economy activities and are crucial to the functioning of our cities. Because it is crucial to the long-term financial performance and widespread service promotion of ride-hailing service firms, it is vital to comprehend the intention to use ride-hailing services. This study aims to investigate the factors influencing people's intentions to use ride-hailing services in Vietnam using the value-based adoption model (VAM). It will also look at the impact of the network effect and the trust transfer process in ride-hailing services to determine how these factors interact.
Article Preview
Top

Literature Review

Technology Acceptance Model

According to Davis et al. (1989), who explored the technological adoption model, behavioral intention directly influences user behavior. Perceived usability and perceived ease of use are the two critical components of TAM. While perceived ease of use is defined as “the degree to which a person believes that using a particular system would be free from effort,” perceived usefulness is defined as “the degree to which a person believes that using a particular system would enhance his or her job performance” (Davis, 1989). According to TAM, people tend to adopt technologies depending on how well they function and how difficult or simple it is to use them.

Complete Article List

Search this Journal:
Reset
Volume 12: 1 Issue (2024)
Volume 11: 1 Issue (2023)
Volume 10: 4 Issues (2022): 2 Released, 2 Forthcoming
Volume 9: 4 Issues (2021)
Volume 8: 4 Issues (2020)
Volume 7: 4 Issues (2019)
Volume 6: 4 Issues (2018)
Volume 5: 4 Issues (2017)
Volume 4: 4 Issues (2016)
Volume 3: 4 Issues (2015)
Volume 2: 4 Issues (2014)
Volume 1: 4 Issues (2013)
View Complete Journal Contents Listing