Predicting Mobile Cross-Platform Adaptation Using a Hybrid Sem-ANN Approach

Owing to constant changes in user needs,new technologies have been introduced to keep pace by building sustainable applications.Researchers and practitioners are keen to understand the factors that create an attractive user interface.Although the use of cross-platform applications and services is increasing,limited research has examined and evaluated cross-platforms for developing mobile applications for different operating systems.This study evaluates crossplatform features,identifying the main factors that help to create an attractive user adaptation when building sustainable applications for both Android and iOS.Flutter and React Native were selected so end-users could test their features using the cross-platform usability assessment model.Usability,satisfaction,and navigation were tested to measure the cross-platform adaptation and end-user experience.The data were analyzed using hybrid structural equation modeling(SEM)and artificial neural network(ANN)approaches.The study results show that usability and navigation both have a positive effect on adaptation on Flutter and React Native,while satisfaction only has an effect on Flutter.The navigation variable was also the most significant predictor of adaptation for both models.This study has several implications and makes contributions to the research field,to developers,and to end-users.

Enhancement of E-commerce Service by Designing Last Mile Delivery Platform

The revolution of technology and the rapid evolution of the digital world had a significant effect on the development and expansion of e-commerce.Last mile delivery,for which different app-based delivery services have recently emerged,is a new area of research that is not thoroughly addressed.Delivery ser-vice is one of the supporting platforms of e-commerce.One of the delivery issues is that many customers experience difficulties in communicating and coordinating with the logistics companies responsible for the delivery service.This challenge is emphasized in this study which introduces a new system to facilitate communica-tion and coordination between customers and logistics companies by using one identity and one interface.This paper is a programming-based study,as the pro-posed system evaluates a website to serve logistics companies as well as designs an application(app)to serve the customers of logistics companies.Swift,a power-ful open-source and object-oriented programming language,and the mark-up language(HTML)were used to build the last mile delivery system.In addition,Firebase,a cloud-hosted real-time database built on Google infrastructure,were used to develop the system.By increasing the level of customer satisfaction and reducing delivery failure rates,this system will eventually increase the prosperity of e-commerce.