Lai-Ying Leong
Orcid: 0000-0001-7283-0300
According to our database1,
Lai-Ying Leong
authored at least 33 papers
between 2011 and 2024.
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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
Revisiting the social commerce paradigm: the social commerce (SC) framework and a research agenda.
Internet Res., 2024
Understanding the opposing forces of continuance intention: a hybrid SEM-ANN approach.
Ind. Manag. Data Syst., 2024
"To share or not to share?" - A hybrid SEM-ANN-NCA study of the enablers and enhancers for mobile sharing economy.
Decis. Support 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
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
Ind. Manag. Data Syst., 2021
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
Expert Syst. Appl., 2020
2019
Do Electronic Word-of-Mouth and Elaboration Likelihood Model Influence Hotel Booking?
J. Comput. Inf. Syst., 2019
Expert Syst. Appl., 2019
Predicting actual spending in online group buying - An artificial neural network approach.
Electron. Commer. Res. Appl., 2019
2018
The effects of Facebook browsing and usage intensity on impulse purchase in f-commerce.
Comput. Hum. Behav., 2018
2017
Internet Res., 2017
2016
Predicting Drivers of Mobile Entertainment Adoption: A Two-Stage SEM-Artificial-Neural-Network Analysis.
J. Comput. Inf. Syst., 2016
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
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
Int. J. Mob. Commun., 2011