Affiliation:
1. Solux College of Architecture and Design, University of South China, Hengyang 421001, Hunan, China
2. Graduate School of Humanities and Social Sciences, The University of Melbourne, Parkville, Victoria 3010, Australia
Abstract
In the era of advanced information technology, new media represented by mobile phones have the characteristics of fast information dissemination, unlimited time, and place, and they are loved by people. Just like this, many businesses and enterprises use new media tools to promote and sell product information, and they have achieved positive results. In this context, this paper mainly studies the impact of new media communication on consumer behavior. By combining the characteristics of the industrial edge cloud deployment algorithm, an analysis model of behavior influencing factors is constructed, and relevant analysis is carried out. This paper mainly obtains experimental data by means of questionnaires and conducts experimental demonstrations for the proposed hypotheses. Before the experiment, the algorithm is compared and analyzed, and it is concluded that when the production line is 50, the algorithm in this paper is 0.6% and 0.32% lower than other algorithms under the SER index. When the production line is 100, the algorithm in this paper is 9.9% and 6.3% lower than other algorithms under the ELDR index. When the production line is 150, the algorithm in this paper is 2.2% and 2.4% lower than other algorithms under the ACR index, indicating that the performance of the algorithm in this paper is better than other algorithms under the SER, ELDR, and ACR indexes. In the correlation and regression analysis of variables, the results show that there is a positive relationship between consumer behavior and consumer willingness. At the same time, there is a positive relationship between consumer willingness and perceived novelty, perceived value, perceived interactivity, and perceived usefulness of new media. The coefficients of its functional expression are 0.411, 0.378, 0.241, and 0.216, respectively, verifying the assumptions 3, 5, 7, and 8 hold. It shows that consumer behavior is affected by consumer willingness, and consumer willingness is most affected by the perceived novelty of new media, followed by new media perceived value, perceived interactivity, and perceived usefulness.
Funder
Project of Hunan Social Science Achievement Evaluation Committee
Subject
Computer Networks and Communications,Computer Science Applications