AI in marketing, consumer research and psychology: A systematic literature review and research agenda
MM Mariani, R Perez‐Vega, J Wirtz - Psychology & Marketing, 2022 - Wiley Online Library
This study is the first to provide an integrated view on the body of knowledge of artificial
intelligence (AI) published in the marketing, consumer research, and psychology literature …
intelligence (AI) published in the marketing, consumer research, and psychology literature …
Technology Acceptance Model in M-learning context: A systematic review
Various review studies were conducted to provide valuable insights into the current research
trend of the Technology Acceptance Model (TAM). Nevertheless, this issue still needs to be …
trend of the Technology Acceptance Model (TAM). Nevertheless, this issue still needs to be …
Misinformation sharing and social media fatigue during COVID-19: An affordance and cognitive load perspective
Social media plays a significant role during pandemics such as COVID-19, as it enables
people to share news as well as personal experiences and viewpoints with one another in …
people to share news as well as personal experiences and viewpoints with one another in …
Does SMS advertising still have relevance to increase consumer purchase intention? A hybrid PLS-SEM-neural network modelling approach
SMS advertising perception has been found to have a significant influence over consumer
purchase intention either directly or indirectly. However, there is a dearth of comprehensive …
purchase intention either directly or indirectly. However, there is a dearth of comprehensive …
A machine learning based approach for predicting blockchain adoption in supply Chain
The purpose of this paper is to provide a decision support system for managers to predict an
organization's probability of successful blockchain adoption using a machine learning …
organization's probability of successful blockchain adoption using a machine learning …
[HTML][HTML] Using machine learning algorithms to predict people's intention to use mobile learning platforms during the COVID-19 pandemic: Machine learning approach
Background: Mobile learning has become an essential instruction platform in many schools,
colleges, universities, and various other educational institutions across the globe, as a result …
colleges, universities, and various other educational institutions across the globe, as a result …
Predicting the actual use of m-learning systems: a comparative approach using PLS-SEM and machine learning algorithms
M Alshurideh, B Al Kurdi, SA Salloum… - Interactive Learning …, 2023 - Taylor & Francis
Despite the plethora of m-learning acceptance studies, few have tackled the importance of
examining the actual use of m-learning systems from the lenses of social influence …
examining the actual use of m-learning systems from the lenses of social influence …
Neural network-based control using actor-critic reinforcement learning and grey wolf optimizer with experimental servo system validation
This paper introduces a novel reference tracking control approach implemented using a
combination of the Actor-Critic Reinforcement Learning (RL) framework and the Grey Wolf …
combination of the Actor-Critic Reinforcement Learning (RL) framework and the Grey Wolf …
Assessing determinants influencing continued use of live streaming services: An extended perceived value theory of streaming addiction
Streaming services are becoming very popular among people and are considered as an
entertainment alternative to the traditional model of broadcasting services due to its …
entertainment alternative to the traditional model of broadcasting services due to its …
Predicting mobile wallet resistance: A two-staged structural equation modeling-artificial neural network approach
The advancement in mobile technology has enabled the application of the mobile wallet or
m-wallet as an innovative payment method to substitute the traditional functions of the …
m-wallet as an innovative payment method to substitute the traditional functions of the …