Understanding consumer adoption of mobile commerce and payment behaviour: an empirical analysis

2017 ◽  
Vol 15 (6) ◽  
pp. 628
Author(s):  
Wan Rung Lin ◽  
Yi Hsien Wang ◽  
Kuang Husn Shih
Keyword(s):  
Empirical Analysis ◽  
Mobile Commerce ◽  
Consumer Adoption ◽  
Payment Behaviour

Neural Network Modeling of Consumer Satisfaction in Mobile Commerce: An Empirical Analysis

2021 ◽  
pp. 114803
Author(s):  
Zoran Kalinić ◽  
Veljko Marinković ◽  
Ljubina Kalinić ◽  
Francisco Liébana-Cabanillas
Keyword(s):  
Neural Network ◽  
Empirical Analysis ◽  
Consumer Satisfaction ◽  
Network Modeling ◽  
Mobile Commerce ◽  
Neural Network Modeling

scholarly journals Neuromanagement decision-making and cognitive algorithmic processes in the technological adoption of mobile commerce apps

2021 ◽  
Vol 12 (4) ◽  
pp. 1033-1062
Author(s):  
Mihai Andronie ◽  
George Lăzăroiu ◽  
Roxana Ștefănescu ◽  
Luminița Ionescu ◽  
Mădălina Cocoșatu
Keyword(s):  
Systematic Review ◽  
Decision Making ◽  
Value Added ◽  
Mobile Commerce ◽  
Mobile App ◽  
Shopping Behavior ◽  
Data Repository ◽  
Consumer Adoption ◽  
Technological Adoption ◽  
Mobile Shopping

Research background: With growing evidence of consumer adoption of mobile shopping apps, there is a pivotal need for comprehending Internet-enabled consumer devices in mobile shopping behavior. Mobile shopping platform features and user technological readiness configure consumers? expectations and demands as regards mobile retailing adoption, leading to acceptance of mobile shopping apps and payment services. Purpose of the article: In this research, prior findings have been cumulated indicating that mobile social apps extend throughout consumer attitudes and behaviors by the widespread adoption of smartphones. We contribute to the literature by showing that cutting-edge technological developments associated with customer behavior in relation to mobile commerce apps have resulted in the rise of data-driven systems. Consumer behavioral intention and adoption intention in relation to mobile shopping apps/websites are developed on perceived risk and trust consequences. Methods: Throughout February and March 2021, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was carried out, with search terms comprising ?mobile shopping app?, ?mobile commerce platform?, ?mobile payment service?, ?Internet-enabled consumer device?, ?consumer technological adoption?, and ?mobile shopping behavior?. As research published between 2018 and 2021 was analyzed, only 330 sources met the suitability criteria. By removing questionable or indeterminate findings (insubstantial/inconsequent data), results unconfirmed by replication, too imprecise content, or having quite similar titles, 66, chiefly empirical, sources were selected. A systematic review of recently published literature was carried out on technological adoption of mobile commerce apps by employing Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines. The Systematic Review Data Repository was used, a software program for the gathering, handling, and analysis of data for the systematic review. The quality of the academic articles was determined by harnessing the Mixed Method Appraisal Tool. Findings & value added: The consumer purchase decision?making process in mobile app-based marketing involves consumer engagement and willingness to adopt mobile commerce apps. Further advancements should clarify how technological-based consumer adoption of mobile shopping throughout social commerce can improve the payment for products and services.

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