Lai-Ying Leong

Orcid: 0000-0001-7283-0300

According to our database1, Lai-Ying Leong authored at least 31 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Deciphering the resistance behaviours towards mobile commerce applications: A Mobile Commerce Applications Resistance Theory (MOCART).
Comput. Hum. Behav., February, 2024

Understanding the opposing forces of continuance intention: a hybrid SEM-ANN approach.
Ind. Manag. Data Syst., 2024

2023
Extending the Theory of Planned Behavior in the Social Commerce Context: A Meta-Analytic SEM (MASEM) Approach.
Inf. Syst. Frontiers, October, 2023

An SEM-ANN analysis of the impacts of Blockchain on competitive advantage.
Ind. Manag. Data Syst., 2023

2022
The past and beyond of mobile payment research: a development of the mobile payment framework.
Internet Res., 2022

The moderating role of gender on behavioural intention to adopt mobile banking: a Henseler's PLS-MGA and permutation approach.
Int. J. Mob. Commun., 2022

The Dark Side of Compulsory e-education: Are Students Really Happy and Learning during the COVID-19 Pandemic?
Int. J. Hum. Comput. Interact., 2022

Mobile-lizing continuance intention with the mobile expectation-confirmation model: An SEM-ANN-NCA approach.
Expert Syst. Appl., 2022

2021
Taxi within a grab? A gender-invariant model of mobile taxi adoption.
Ind. Manag. Data Syst., 2021

A meta-analysis of consumer innovation resistance: is there a cultural invariance?
Ind. Manag. Data Syst., 2021

Understanding trust in ms-commerce: The roles of reported experience, linguistic style, profile photo, emotional, and cognitive trust.
Inf. Manag., 2021

2020
Time to seize the digital evolution: Adoption of blockchain in operations and supply chain management among Malaysian SMEs.
Int. J. Inf. Manag., 2020

Predicting mobile wallet resistance: A two-staged structural equation modeling-artificial neural network approach.
Int. J. Inf. Manag., 2020

Predicting trust in online advertising with an SEM-artificial neural network approach.
Expert Syst. Appl., 2020

Wearable payment: A deep learning-based dual-stage SEM-ANN analysis.
Expert Syst. Appl., 2020

2019
Do Electronic Word-of-Mouth and Elaboration Likelihood Model Influence Hotel Booking?
J. Comput. Inf. Syst., 2019

A hybrid SEM-neural network analysis of social media addiction.
Expert Syst. Appl., 2019

Predicting actual spending in online group buying - An artificial neural network approach.
Electron. Commer. Res. Appl., 2019

2018
What triggers impulse purchase in Facebook commerce?
Int. J. Mob. Commun., 2018

The effects of Facebook browsing and usage intensity on impulse purchase in f-commerce.
Comput. Hum. Behav., 2018

2017
Understanding impulse purchase in Facebook commerce: does Big Five matter?
Internet Res., 2017

2016
Predicting Drivers of Mobile Entertainment Adoption: A Two-Stage SEM-Artificial-Neural-Network Analysis.
J. Comput. Inf. Syst., 2016

The dawning of mobile tourism: what contributes to its system success?
Int. J. Mob. Commun., 2016

Can competitive advantage be achieved through knowledge management? A case study on SMEs.
Expert Syst. Appl., 2016

2015
An SEM-artificial-neural-network analysis of the relationships between SERVPERF, customer satisfaction and loyalty among low-cost and full-service airline.
Expert Syst. Appl., 2015

2014
Predicting the drivers of behavioral intention to use mobile learning: A hybrid SEM-Neural Networks approach.
Comput. Hum. Behav., 2014

2013
Knowledge management: a key determinant in advancing technological innovation?
J. Knowl. Manag., 2013

Predicting the determinants of the NFC-enabled mobile credit card acceptance: A neural networks approach.
Expert Syst. Appl., 2013

Modeling the stimulators of the behavioral intention to use mobile entertainment: Does gender really matter?
Comput. Hum. Behav., 2013

2011
Influence of individual characteristics, perceived usefulness and ease of use on mobile entertainment adoption.
Int. J. Mob. Commun., 2011

Influence of gender and English proficiency on Facebook mobile adoption.
Int. J. Mob. Commun., 2011


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