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Top1. Introduction
After many years of construction, e-government in China has made tremendous achievements. E-government has played an active and visible role in government center work, in events about the people’s livelihood, in the actual needs of enterprises and social public. From the perspective of public service, e-government in China has gone through development stages from services provided by the departments to services provided by means of user object or application theme (Zhang, 2009). Currently, we meet the development stage of personalized service (Alshehri, 2011). E-government users’ needs always change with the change of environment and the development of e-government, different service objects always have different needs (Faizullah, 2012). Consequently government should provide personalized and customized services on basis of users’ various needs adequately.
However, most e-government websites provide generic services facing all the service objects, lack of characteristic and pertinence, unable to satisfy general users’ various needs (Chan, 2008). In order to solve this contradiction, first of all, we should fully understand user’s needs, then make the segmentation and provide personalized services for segmentation groups.
At present, customer segmentation mainly surrounds variables like population statistics, behavior and customer value. William proposed AIO (Activity, Interests, Opinion) segmentation and value concept segmentation. Many marketers believe that behavior variables are the best starting point to make market segmentation. Benefit segmentation was first proposed by Haley, he considered that we should get the real benefit behind by customer’s behavior, attitude and motivation. Customer value segmentation was proposed based on CLP model, with comprehensive application of variables like customer lifetime value, psychological factors and using frequency, segmenting customers into platinum level, gold level, steel level and lead level. It can be seen that research on customer segmentation in e-government is rare.
Therefore, in this article, we introduce CRM and customer segmentation concept into e-government areas, referencing the main cluster algorithm in CRM-----K-means algorithm, construct e-government users segmentation model to segment users and provide premise security for personalized services.