Exploring the Influence of Mobile Apps on Customer Engagement and Loyalty
Lecture Notes in Networks and Systems, ISSN: 2367-3389, Vol: 1136 LNNS, Page: 130-143
2024
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Conference Paper Description
A fast growth of smartphone usage and its extensive inclusion into many sectors of life has had a significant influence on the dynamics of consumer engagement and loyalty in the commercial arena. In today's world, mobile apps offer a direct method of contact, allowing businesses to tailor their goods & services to a specific need of their customers. Mobile applications have the ability to improve customer service, make product discovery easier, and speed transactions. The DAISEE dataset, which serves as a comprehensive and irreplaceable collection of authentic data, including user experiences with many mobile apps, serves as the core of our study. The dataset was utilized to build CNN model employed in this research. The model was built using ShuffleNetv2, a well-known architecture noted for its remarkable accuracy and efficiency in image recognition applications. We significantly improved the model by using a complete set of tough evaluation processes, resulting in a considerable improvement in accuracy, achieving a stunning rate of 63.9%. The acquired accuracy rate is outstanding, especially when compared to other models. We were able to analyse the reasons of customer loyalty and the purpose of the connection between the client and the brand using the upgraded ShuffleNetv2 model.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85208273531&origin=inward; http://dx.doi.org/10.1007/978-3-031-70789-6_10; https://link.springer.com/10.1007/978-3-031-70789-6_10; https://dx.doi.org/10.1007/978-3-031-70789-6_10; https://link.springer.com/chapter/10.1007/978-3-031-70789-6_10
Springer Science and Business Media LLC
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