應用模糊層級分析法評估航港資訊系統品質因素

Applying Fuzzy Analytic Hierarchy Process to Evaluate Quality Factors of Maritime and Port Information Systems

強化航港資訊系統功能與品質是提升整體海運業服務效能之重要基礎，因此，探討哪些因素為影響推動航港資訊系統的關鍵要素，是相當值得研究之重要議題。本研究以DeLone and McLean兩位學者所提出之資訊系統成功模式為理論基礎，分析與彙整資訊系統品質因素相關文獻，擬定航港資訊系統品質因素之評估構面與準則。運用模糊層級分析法與範圍分析法，建構其模糊評估模式，並以實際系統使用人員為評估者，進行各相對權重值之重要性比較。研究結果顯示，航港資訊系統的低、高使用經驗群組皆一致認同資訊正確性、資訊即時性、與系統可用性是極為重要的品質因素。研究結果所提出的航港資訊系統品質因素重要性評比，期能作為航港機關管理者與相關業者持續推動航港資訊系統之重要參考依據。

Enhancing the function and quality of maritime and port information systems is an important foundation for improving the overall service performance of the maritime industry. Therefore, exploring the quality factors of maritime and port information systems is an important research issue. Based on the DeLone and McLean model of information systems success and analyze related literature, this study designs evaluation dimensions and criteria of maritime and port information systems. By combining fuzzy analytic hierarchy process (FAHP) and extent analysis method, this study develops the fuzzy evaluation model, taking system users (including low- and high-experience groups) as the example, comparing relative-weights dimensions and its criteria of fuzzy evaluation model. The results show that the top three important criteria are ''information accuracy'', ''information timeliness'' and ''system availability''. The evaluation model and empirical results can provide a valuable reference for managers seeking to increase performance of maritime and port information systems.