The Influence of Mobile Commerce on Consumer Behavior: A FCM-RF-DNN Analysis
For m-commerce vendors, the difficulty is to decipher what factors impact customer actions in the ubiquitous mobile setting. In addition, companies are attempting to incorporate social media into their mobile approach in some way. This proposed approach to the findings of a qualitative exploratory study regarding the use of social media and smartphones within the framework of mobile commerce. Keep in mind the order of importance while doing data preprocessing, feature selection, and training the model. The usual steps in getting data ready for processing, such as cleaning it, identifying users and sessions, and finding episodes. The IS-DT suggested method's implementation technique is utilized in feature selection. Unified FCM-RF-DNN models need to be trained after features have been retrieved. Two state-of-the-art approaches, RF and DNN, are outperformed by the suggested approach. Following the implementation of the method, accuracy improved by 96.13%.
Authors
- Amit Chauhan (ORCID: https://orcid.org/0000-0001-6508-2156)
- Vidhya Prasanth (ORCID: https://orcid.org/0000-0001-8386-7395)
- Suman Dahiya (ORCID: https://orcid.org/0000-0003-0604-260X)
- Nawab Akram
- Valarmathi Periyasamy
- Hemanand Chittapragada
Institutions
- Magadh University (IN)
- Universal Engineering College (IN)
- M. Kumarasamy College of Engineering
- Christ University (IN)
Publication Details
- Published
- 2024-08-23
- DOI
- https://doi.org/10.1109/iacis61494.2024.10721778
- Primary Topic
- Technology Adoption and User Behaviour
- Type
- article
- Field-Weighted Citation Impact
- 0.00