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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/114507


    Title: 汽車維修專家系統之採用意願探討 : 以某汽車公司為例
    Other Titles: A study of use intention to car maintenance expert system : the case of a car company
    Authors: 吳慧玲;Wu, Hui-Ling
    Contributors: 淡江大學資訊管理學系碩士在職專班
    周清江
    Keywords: 專家系統;科技接受模型;創新特性;Expert System;Technology Acceptance Model;Attributes of Innovation
    Date: 2017
    Issue Date: 2018-08-03 14:54:49 (UTC+8)
    Abstract: 各車廠因車輛重複維修所造成人事及物料成本提升等問題,擬規劃導入專家系統以提供技師人員維修建議,來降低車輛重複維修問題,本研究為運用科技接受模型探討汽車維修廠接待專員對於維修專家系統的採用意願。研究結果顯示,創新特性對於知覺有用及知覺易用皆有非常顯著的正相關影響,而主觀規範及自我效能則對知覺易用有顯著的正相關,顯示對車廠接待專員而言,若專家系統操作方式及介面是很簡易及人性化,以及公司能提供完善的教育訓練,並能帶來比現行工作流程更加快速及有效率的結果,皆影響接待專員對專家系統的採用意願,此研究結果未來亦可提供給欲規劃導入專家系統的企業做為參考。
    Car companies suffer from personnel and material costs increase caused by repeated vehicle repairs. They plan to implement Car Maintenance Expert System to provide recommendations for car repair engineers to reduce repeated vehicle maintenance problems. This study uses Technology Acceptance Model to explore the use intention of maintenance receptionists of car companies to the Car Maintenance Expert System. Our results show that the Attributes of Innovation have a significant positive correlation for both Perceived Usefulness and Perceived Ease of Use. Meanwhile, Subjective Norms and Self-Efficacy are significantly positively correlated with Perceived Ease of Use. The following issues might affect the maintenance receptionists’ use intention to adopt the Expert System: the operations and interfaces of the system are very intuitive, smooth and user-friendly; the car company could provide sound education and training; and the system could make the process of current workflow more efficient and effective. The results of this study can be provided to enterprises planning to implement Expert System.
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