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題名:全球新冠肺炎疫情(COVID-19)與 科技接受模式之研究
作者:何以尊
作者(外文):HO,I-TSUN
校院名稱:長榮大學
系所名稱:經營管理研究所
指導教授:曾信超
學位類別:博士
出版日期:2021
主題關鍵詞:科技接受模式新冠肺炎信任醫療教育Technology Acceptance ModelCOVID-19TrustMedical CareEducation
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2019年爆發新冠肺炎疫情,成為全球性的重大危機,對生命及經濟造成極大威脅。本研究奠基於Davis(1989)「科技接受模式,TAM」之理論,並融入相關之測量資訊科技之使用意圖及行為之學說,以台灣疫情防疫資訊系統使用者為對象,探討疫情資訊系統對疫情的影響,進行驗證之假設進行討論,以為防疫措施提供策略建議之參考。
本研究採便利抽樣,共收有效樣本346份。由分析後發現,一、行為意圖對防疫資訊系統使用的影響:從本研究構面發現從行動意圖到實際行動的路徑指係數為0.488,具顯著影響,顯示國內防疫成功最重要的因素是全民有共同的防疫行動意圖;二、信任對防疫資訊系統使用的影響:信任到行動意圖路徑係數為0.601,呈現顯著,可見受試者信任機構及政府所實施的任何防疫措施;三、預期期望對防疫資訊系統使用的影響:本研究發現從預期期望到行為意圖的路徑係數為0.086,不僅係數第三低,同時呈現不顯著,但是經由信任當中介,預期期望到信任的路徑係數為0.280,同時呈現顯著,可見得預期期望要經過信任的過程才會產生行為意圖;四、習慣對防疫資訊系統使用的影響:本研究發現習慣到行為意圖的路徑係數為0.303,呈現顯著,養成好的使用防疫資訊系統的習慣,就可經由行動意圖,直接採取實際行動;五、知覺風險對防疫資訊系統使用的影響:本研究發現知覺風險對行為意圖及信任的路徑係數為-0.007及-0.017,呈現負向及不顯著,可見得國內防疫措施做得非常成功,受測者尚未感受到知覺風險的提高。
本研究以醫院及高等教育機構為研究對象,充分顯示第一線防疫人員的科技接受模式,雖然知覺風險呈現不顯著,但隨著疫情的起伏,這兩個機構的人員的情緒及工作量都要隨著起伏。疫苗接種是重大防疫政策,全民對政府的信任應積極接種,並保持良好的防疫習慣,透過資訊防疫系統可掌控疫情的發展,對疫苗接種進行有效管理。建議後續研究可對醫院及高等教育機構進行時序性的情緒研究,以了解第一線防疫人員的壓力變化,以做為防疫管理上的主要參考。
The outbreak of the COVID-19 epidemic in 2019 has become a global crisis, posing a great life threat and world economy. This research was based on Davis's (1989) "Technology Acceptance Model, TAM" theory, and incorporated the other theories of measuring the use intention and behavior of information technology. It was aimed at the users of the Taiwan Epidemic Prevention Information System as the research objects, and was expected to explore how the Epidemic Prevention Information System impact on the epidemic, discussed the hypothesis for verification to provide anti-epidemic measures as the reference to strategy recommendations. Convenience sampling was adopted in this research, and a total of 346 valid samples were collected. Many results were found after analysis:1. The influence of behavioral intention on the use of the epidemic prevention information system: The dimension of this research found that the path index coefficient from action intention to actual action was 0.488, which referred to a significant impact. It showed that the most important factor for the success of domestic epidemic prevention was all Taiwan people have a common intention to prevent epidemics. 2. The influence of trust on the use of epidemic prevention information system: The path coefficient of trust to action attempt was 0.601, which is a significant impact. Obviously, it can be seen that participants trusted any epidemic prevention measures implemented by institutions and governments. 3. The expected impact on the use of the epidemic prevention information system: The research found that the path coefficient from expected expectations to behavioral attempts was 0.086, which showed not only the second lowest coefficient, but also insignificant. However, through the "trust" as an intermediary, the path coefficient from expected expectations to trust was 0.280, and showed significantly. It can be seen that the behavior attempts will only occur through the process of trust. 4. The influence of habit on the use of epidemic prevention information system: This research found that the path coefficient from habit to behavioral attempt was 0.303, which is significant. And a good habit of using the epidemic prevention information system can directly take actual actions through the action intention. 5. The impact of perceived risk on the use of epidemic prevention information system: This research found that the path coefficient of perceived risk on behavioral attempts and trust was -0.007 and -0.017, which showed a negative and insignificant index, it can be seen that the domestic epidemic prevention measures have been very successful, and the participants had not yet felt the increase in perceived risk. This research took hospitals and higher education institutions as the research objects, and fully demonstrated the technology acceptance model of the front-line epidemic prevention personnel. Although the perceived risk was not significant, with the ups and downs of the epidemic, the mood and workload of personnel of these two institutions had also been fluctuated. It is suggested that follow-up research can conduct time-series emotional research on hospitals and higher education institutions to understand the pressure changes of front-line epidemic prevention personnel, as the main reference for epidemic prevention management.
報橘BuzzOrange,(2020),【《屍速列車》般的劇情】武肺病毒的「魔鬼觸手」!科學家:病毒會繞過免疫系統。2020年7月1日,取自https://buzzorange.com/2020/07/01/about-covid-19/
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