Users' Search Satisfaction in Search Engine Optimization

被引：1
|
作者：
Palanisamy, Ramaraj [1 ]
Liu, Yifan [1 ]
机构：
[1] St Francis Xavier Univ, Gerald Schwartz Sch Business, Antigonish, NS, Canada
来源：
PROCEEDING OF THE INTERNATIONAL CONFERENCE ON COMPUTER NETWORKS, BIG DATA AND IOT (ICCBI-2018) | 2020年 / 31卷
关键词：
Search behavior; User's search satisfaction; Search engine optimization; User characteristics;
D O I：
10.1007/978-3-030-24643-3_124
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper identifies the best practices and guidelines for designing an effective and meaningful e-commerce website so that the given site appears at the top in a search engine's search results. A research model for users' search satisfaction is evolved from the literature. The model is empirically tested and validated by obtaining survey-inputs from 101 students from a Canadian University. The factors affecting users' search satisfaction are user characteristics, search characteristics, search engine characteristics, and clicking behavior of advertisements. The data analysis validates the impact of website features, search engine contents and search problems on user's search satisfaction. User's search behavior includes the frequency of different search data input, navigational search and the usage of different devices positively influences user's search satisfaction. Besides, the advertisements clicking negatively influences user's satisfaction. The implications for the theory and practice are given.
引用
收藏
页码：1035 / 1045
页数：11
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