Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Determinants of customer’s intention to use ride-hailing services in Kathmandu Valley

View through CrossRef
This study identifies the key factors influencing the adoption of ride-hailing services in Kathmandu Valley, guided by the Theory of Planned Behavior (TPB). The research examines how attitudes, subjective norms, and perceived behavioral control affect the intention to use ride-hailing services, and how these intentions translate into actual usage behavior. A quantitative method was adopted, with 389 respondents from Kathmandu Valley, using a structured questionnaire designed to capture TPB constructs. Data analysis was performed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to validate the questionnaires and assess the hypothesized relationships. The findings indicate that both attitude and perceived behavioral control significantly impact the intention to use ride-hailing services. Furthermore, intention was found to be a strong predictor of actual usage behavior. However, subjective norms did not exhibit a significant effect on the intention to use ride-hailing services in this context. This study provides insights into the behavioral drivers of ride-hailing service adoption, offering valuable information for ride-sharing and hailing mobility services to boost their business and for government institutions to regulate accordingly. As ride-hailing is growing in Nepal, future investors and enterprises would benefit from adopting various strategies to attract customers, focusing on the key factors that influence service adoption. For future research, expanding the sample size and incorporating additional contextual factors would enhance the understanding of ride-hailing adoption across different regions.
Title: Determinants of customer’s intention to use ride-hailing services in Kathmandu Valley
Description:
This study identifies the key factors influencing the adoption of ride-hailing services in Kathmandu Valley, guided by the Theory of Planned Behavior (TPB).
The research examines how attitudes, subjective norms, and perceived behavioral control affect the intention to use ride-hailing services, and how these intentions translate into actual usage behavior.
A quantitative method was adopted, with 389 respondents from Kathmandu Valley, using a structured questionnaire designed to capture TPB constructs.
Data analysis was performed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to validate the questionnaires and assess the hypothesized relationships.
The findings indicate that both attitude and perceived behavioral control significantly impact the intention to use ride-hailing services.
Furthermore, intention was found to be a strong predictor of actual usage behavior.
However, subjective norms did not exhibit a significant effect on the intention to use ride-hailing services in this context.
This study provides insights into the behavioral drivers of ride-hailing service adoption, offering valuable information for ride-sharing and hailing mobility services to boost their business and for government institutions to regulate accordingly.
As ride-hailing is growing in Nepal, future investors and enterprises would benefit from adopting various strategies to attract customers, focusing on the key factors that influence service adoption.
For future research, expanding the sample size and incorporating additional contextual factors would enhance the understanding of ride-hailing adoption across different regions.

Related Results

Not Minding the Gap: Does Ride-Hailing Serve Transit Deserts?
Not Minding the Gap: Does Ride-Hailing Serve Transit Deserts?
Transit has long connected people to opportunities but access to transit varies greatly across space. In some cases, unevenly distributed transit supply creates gaps in service tha...
Measuring Customers’ Satisfaction and Preferences for Ride-Hailing Services in a Developing Country
Measuring Customers’ Satisfaction and Preferences for Ride-Hailing Services in a Developing Country
Ride-hailing services play an important role in developing countries where conventional transport systems are not enough to meet the needs of commuters because of increased populat...
Adopting or Avoiding? Older Adults’ Ride-Hailing Perceptions and Experiences
Adopting or Avoiding? Older Adults’ Ride-Hailing Perceptions and Experiences
Abstract This qualitative study explored how older adults perceive ride-hailing services and what factors influence their willingness to use them. Informed by the...
FAKTOR YANG MEMPENGARUHI TAHAP KEPUASAN PELAJAR TERHADAP PERKHIDMATAN E-HAILING DI UNIVERSITI MALAYSIA TERENGGANU
FAKTOR YANG MEMPENGARUHI TAHAP KEPUASAN PELAJAR TERHADAP PERKHIDMATAN E-HAILING DI UNIVERSITI MALAYSIA TERENGGANU
Semenjak pasca pandemik, tiada lagi perkhidmatan bas disediakan oleh pihak Universiti Malaysia Terengganu (UMT) bagi memudahkan pelajar untuk bergerak dari kampus ke kompleks kulia...
Ride-hailing and (dis)Advantage: Perspectives from Users and Non-users
Ride-hailing and (dis)Advantage: Perspectives from Users and Non-users
The introduction of ride-hailing in cities of Latin America and the Caribbean (LAC) remains a relatively new topic in regional research and a contentious issue in local policy and ...
App-Based Ride Hailing Services and Customer Satisfaction of Bolt Patronage in Uyo Metropolis, Akwa Ibom State
App-Based Ride Hailing Services and Customer Satisfaction of Bolt Patronage in Uyo Metropolis, Akwa Ibom State
This research was conducted to assess customer satisfaction level on the patronage of App-based ride hailing. Specifically, this study addressed the various dimensions of app-based...
Understanding post-adoption behaviour in the context of ride-hailing apps: the role of customer perceived value
Understanding post-adoption behaviour in the context of ride-hailing apps: the role of customer perceived value
Purpose Despite the perceived role of customer value in post-adoption behaviour in the context of ride-hailing apps such as Uber, there has been limited researc...

Back to Top