國內購物網站功能設計之自動化評估系統的建立

CCUR > College of Business > Department of Information Management & Graduate Institute of Information Management > Thesis > Item 987654321/27815

Please use this identifier to cite or link to this item: https://irlib.pccu.edu.tw/handle/987654321/27815

Title:	國內購物網站功能設計之自動化評估系統的建立 Building the Automated Quality Evaluation System of Website Design for Domestic Shopping Website
Authors:	何冠霆
Contributors:	資訊管理研究所
Keywords:	全球資訊網網站品質評估指標網站評估 world wide web website quality evaluation index website evaluation
Date:	2006
Issue Date:	2014-08-23 11:26:59 (UTC+8)
Abstract:	由於網際網路應用以及全球資訊網的盛行，加上網站製作技術日趨成熟，使得網站的數量以驚人的速度成長，也由於建構網站的門檻低，許多網站設計者因理念、構思、設計手法的不同，所以設立的網站品質良莠不齊，網站所提供的服務內容互有差異，因此，網站品質的評鑑已然是一項重要的課題。本研究目的在深入分析並發展一套適用於購物網站品質評估的準則，透過文獻整理、專家訪談、問卷調查及購物網站實地評鑑等方式，設計各評估因素及相對權重，並且依據建立之評估指標為基礎設計一自動化網站評估系統，協助網站設計者在設計網站時的參考依據，也使相關管理人員在分析網站時更加方便。研究結果指出購物網站評估指標包含五大指標群，分別是「購物功能」、「互動性功能」、「網站管理」、「輔助工具」、「多媒體使用」，並可向下細分為37個評估因素。而自動化網站評估系統在與人工評核購物網站的結果比較之後，對於系統的資料擷取和評估的正確性，作為本研究可行性和實用性之所在。 As the applications of Internet and the fashion of world wide web and the technol-ogy for developing website becoming mature, the number of websites grows with a sur-prising speed. But the lower threshold of website construction also means that the qual-ity of websites can vary drastically since many websites are built by amateurs with little experience. Many factors affect the management performance of the website. Website quality evaluation is thus becoming an important subject. The intentions of this research go deep into analyzing and developing a set of cri-teria suitable for evaluating the quality of shopping websites; build evaluation criteria for shopping websites by literature review as well as interviews with experts question-naire survey and real-site evaluation. Design evaluation criteria and relative weight, to investigate the satisfaction rate of the automated website evaluation system(AWES) that was developed according to the evaluation criteria. Basis consulted to assist web de-signers for design and a tool for analyzing websites, and possible improvements for a website. The results showed that evaluation criteria for shopping website include five major groups: “shopping functions” , “interactive functions” , “website management func-tions” , “administrative tool functions” and “multimedia use functions”. These groups could be further divided into 37 evaluation factors. And then AWES as compared with human inspection result, as well as to compare their differences, data extraction and evaluation accuracy of system. The experimental results are promising and the system has demonstrated its practicability as a great automated website evaluation system.
Appears in Collections:	[Department of Information Management & Graduate Institute of Information Management] Thesis

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