電子化政府社群服務網成員滿意度之探討

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Title:	電子化政府社群服務網成員滿意度之探討
Other Titles:	A Study Of E-government Community Service Net Members' Satisfaction
Authors:	關賜啟 Kuan, Szu- chi
Contributors:	資訊管理學研究所吳光閔 Wu Guang-Ming
Keywords:	滿意度;虛擬社群;電子化政府社群服務網 virtual community;satisfaction
Date:	2004
Issue Date:	2019-03-20 16:34:34 (UTC+8)
Abstract:	成功的虛擬社群是提升網站競爭優勢，而虛擬社群成員對該社群的滿意度會提高社群的成功機會。本研究探討電子化政府社群服務網成員滿意度，為達成研究目的，首先透過文獻的整理與分析，建立研究整體架構，其次根據文獻分析結果，編製「電子化政府社群服務網成員滿意度問卷」為研究工具，利用問卷調查的方法，蒐集電子化政府社群服務網站成員使用滿意度情形。　　　本研究以「電子化政府社群服務網站」作為研究標的，以電子化政府社群服務網站會員為母群體。採用網路網頁問卷法進行調查，在2004年7月20日至8月9日，共21天的時間內，獲得有效樣本434份。資料分析統計方法包括：次數分配、百分等級、算術平均數、獨立樣本t考驗、單因子變異數分析（one-way anova）、雪費(Scheffe's)事後比較法等等，以SPSS 10.0中文版統計軟體加以分析，獲致下列主要結論：　一、電子化政府社群服務網成員「整體滿意度」傾向於「滿意」。二、電子化政府社群服務網成員對於「知識分享」層面的滿意度最高，其次為「知識品質」；滿意度較低者為「相互瞭解」與「相互衝突」。三、電子化政府社群服務網成員的「整體滿意度」，因背景因素（諸如性別、年齡、教育程度、知道網站時間長短、到訪網站時段）的不同而有差異。四、電子化政府社群服務網成員的「整體滿意度」，雖其背景因素（職業、到訪網站停留時間、每週到訪網站次數）不同，但其滿意度程度並無顯著差異。五、電子化政府社群服務網成員到訪網站的時段，集中在上班時段(83.25%)，遠高於夜晚時間（14.1%）、週六週日時段（2.8%）。　　The successful virtual community promotes the website competitive advantage, and the satisfaction of the virtual community members to the community flock will raise the successful opportunity of the community. Therefore, this research aims to inquire into the e-government community service net member's satisfaction. In order to reach the purpose, firstly, this thesis will establish the outline by using the sorting and analysis of the previous reference. Secondly, analyze the result according to the previous reference, and then base on the result to draw up ＂the e-government community service net member's the satisfaction questionnaire＂ as the study tool. By method of the questionnaire, this thesis tries to investigate and analyze the e-government community service website the member the usage satisfaction situation.　　　This thesis bases on the ＂the e-government community service website＂ as an object, and the e-government community service website member as a population. Adopt the net world WebPages questionnaire method to investigate the inquisition, from July 20th to August 9th, 2004, totally 21 days. This method acquires valid 434 of samples. The statistic method of data analysis includes: frequency distribution, percentile test, arithmetic mean, independent-samples t-test, One-way Anova, Scheffe’s posterior comparisons...etc. and then analyzes with 10.0 Chinese versions of SPSS, acquiring the following and main conclusions:　(A) The member's ＂whole satisfaction＂ of the e-government community service net inclines towards ＂satisfaction＂.(B) The e-government community service net satisfaction of members to ＂the knowledge sharing＂ level gains highly satisfaction, following is ＂the knowledge quality＂. The lower of the satisfaction is ＂understand mutually＂ and ＂mutually conflict＂. (C) Because of the dissimilarity of the background factor, such as the gender, age, level of education, the time of knowing the website and the time of visiting the website, the member's ＂whole satisfaction＂ towards the e-government community service net has the discrepancy.(D) Although its background factor, like occupation, the time of visiting the website, and the weekly times of visiting the website, is different, the satisfaction degree of the member's ＂whole satisfaction＂ of the e-government community service net has no obvious discrepancy. (E) The e-government community service net the member visits the times of the website concentrating on the working hour (83.25%), which exceeds the night hour (2.8%) and the weekends (14.1%).
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