The proposed SquiRide Rank algorithm is designed by integrating the Squirrel Search Algorithm (SSA) with the Rider Optimization Algorithm (ROA), respectively. The concept of fictional computing and... Show More

The proposed SquiRide Rank algorithm is designed by integrating the Squirrel Search Algorithm (SSA) with the Rider Optimization Algorithm (ROA), respectively. The concept of fictional computing and the foraging behavior realize the re-ranking process more effectively in the web environment. However, the features extracted from the web pages makes the process more effective and achieve global optimal solution through the fitness measure. The proposed SquiRide Rank algorithm effectively captures and analyzes the ranking scores of different search engines in order to generate the re-ranked score result. However, the proposed SquiRide Rank algorithm provides satisfactory results using the metrics, like precision, recall, and F-measure, which acquired with the values of 0.964, 0.996, and 0.980, respectively.

The evolution of the Internet and smartphones, people are able to use Internet banking (IB). In addition, banks are able to reduce their operational costs and attract more customers when utilizing... Show More

The evolution of the Internet and smartphones, people are able to use Internet banking (IB). In addition, banks are able to reduce their operational costs and attract more customers when utilizing IB. The Covid-19 Virus outbreak in encouraged clients to use IB to limit their physical interactions with others. This research utilized the extended Unified Theory for Acceptance and Use of Technology (UTAUT-II) to assess how bank customers adopt IB. 375 online surveys were collected to test eight hypotheses. Results indicated that Performance Expectancy, Social Influence, Security, and Habit were significant predictors of the behavioral intentions to use IB, while Effort Expectancy, Facilitating Conditions, Perceived Value, were insignificant. Age was used as a moderator to habit-behavioral intentions relationship, but data failed to support its role. The overall coefficient of determination was 0.86, which exceeded the original model. Further discussions and conclusions are reported at the end of the paper.

Handheld devices such as smartphones, tablets, and PDAs are commonly used for online shopping. In order to satisfy web page requests on these devices, web developers are using a responsive web... Show More

Handheld devices such as smartphones, tablets, and PDAs are commonly used for online shopping. In order to satisfy web page requests on these devices, web developers are using a responsive web design approach, where websites dynamically adapt to different screen sizes and orientations. One of the challenges faced by web developers is to provide a usable experience across different devices. Motivated by this, a mobile-first usability guideline was established by extracting good usability practices from five popular responsive e-commerce websites. Validation of the usability guideline was conducted, and results indicate that it will have a positive impact on the overall user experience.