本次研究主要以任務-科技適配模式理論為基礎，冀望由此分析工作管制系統導入國軍作業系統，讓軍職人員能夠有不同的工作管制方式，從中瞭解系統的效能，進而評估其適用性，以使用者的角度進入系統之後的發展運作及改良參考，提供後續國防部參卓。內文分析結果為：（1）過去使用工作管制系統的主要軍職人員以男性30~39歲大學學歷且幕僚職（參謀職）人員居多；另服務地區為南部人員較多，每週使用工作管制系統1~3次，且已經接觸此系統1~2年；（2）在滿意度差異性方面，30~39歲評價高於20~29歲的使用者，職類為軍官人員評價高於士官的使用者，使用系統1~2年評價高於2~3年的使用者，每週使用工作管制系統1~3次高於其它的使用者；（3）任務適配模式導入工作管制系統後將發現-當「任務特性」及「科技特性」對「任務-科技適配度」將有顯著的正向影響趨勢，「任務-科技適配度」對「使用意願」將有顯著的正向影響；「任務-科技適配度」及「使用意願」對「單位績效」之影響將有顯著的正向影響，最後結果均支持本研究架構。

This research is mainly based on the theory of task-technology adaptation model. It is hoped that the analysis of the work control system will be introduced into the national military operation system, so that military personnel can have different work control methods, understand the effectiveness of the system, and then evaluate its applicability. It is a reference for the development and operation and improvement of the system after entering the system from the user’s point of view, providing follow-up participation by the Ministry of National Defense. The results of the analysis of the text are: (1) The main military personnel who used the work control system in the past were males with a college degree of 30 to 39 years old and most of them were staff (staff staff); the other service area was the southern part with a large number of personnel who used work every week. Control the system for 1 to 3 times, and have been in contact with the system for 1 to 2 years; (2) In terms of satisfaction differences, users aged 30 to 39 are rated higher than those of 20 to 29 years old, and the category is military officers. Non-commissioned officers, users who have used the system for 1 to 2 years and whose evaluation is higher than 2 to 3 years, use the work control system 1 to 3 times a week higher than other users; (3) The task adaptation mode is introduced into the work control system Later, it will be discovered-when the "task characteristics" and "technology characteristics" will have a significant positive influence on the "task technology adaptation", the "task technology adaptation" will have a significant positive influence on the "willingness to use" ; "Task technology adaptation" and "willingness to use" will have a significant positive impact on "unit performance", and the final results support the structure of this research.

一、中文部分：
1. 李國瑋、張詠盛、陳宜辰與林東緯（2017），行動銀行使用意圖之關聯
性探討-整合科技接受模式與任務-科技適配模式之觀點，當代商管論叢,
2(1),61-86。
2. 吳明隆（2003）。SPSS統計應用學習實務:問卷分析與應用統計。臺北市:
知城出版。
3. 吳統雄（1990），電話調查：理論與方法，臺北，聯經出版社。
4. 林妤玲（2007），影響行動加值服務採用意願之因素，使用情境的效果
(Doctoral dissertation)。
5. 陳雪樺（2011），以任務-科技配適理論探討行動護理站使用績效之實證
研究，嘉南藥理科技大學醫療資訊管理研究所學位論文。
6. 陳勇叡（2019），探討大數據分析系統的適配度於組織績效：任務-科技
適配理論，東海大學資訊管理學系碩士論文。
7. 陳宜辰（2014），行動銀行使用意圖之關聯性探討-整合科技接受模式與
任務-科技適配模式之觀點，臺中科技大學企業管理系事業經營碩士班
學位論文，1-121。
8. 陳寬裕，2010，論文統計分析實務：SPSS與AMOS的運用，五南圖書，
臺北。
9. 張妙如（2012），從任務-科技適配理論觀點探討消費者對雲端書城之滿
意度與使用意願，南華大學資訊管理學系碩士論文。
10. 張哲軒（2013），中小企業員工使用即時通訊軟體對其任務績效之影響:
以任務-科技適配觀點，國立臺中教育大學事業經營碩士學位學程碩士
論文。
11. 溫存立（2018），基於氣象要素分析之個人化旅遊景點建議系統，國立
臺北教育大學數位科技設計學系 (含玩具與遊戲設計碩士班) 學位論文
，1-77。
12. 楊裕斌（2006），資訊科技對知識管理活動之影響研究—以任務-科技適
配度理論為基礎，義守大學資訊管理學系碩士班學位論文。
13. 蔡子滔（2019），運用任務-科技適配模式建構醫療人員排班系統雛型，
中原大學工業與系統工程研究所學位論文。
14. 韓明澄（2002），知識管理在國軍後勤戰力管制系統建置規劃之應用研
究，國防管理學院國防資訊研究所學位論文。

二、英文部分：
1. Bagozzi, Richard P, & Youjae Yi (1988). On the evaluation of structural
equation models. Journal of the academy of Marketing Science,16 (1),
74–94.
2. Chang, H. H. (2010). Task-technology fit and user acceptance of online
auction. International Journal of Human-Computer Studies, 68(1-2), 69-89.
3. D’Ambra, J. & C. S. Wilson (2004). Use of the World Wide Web for
international travel: Integrating the construct of uncertainty in information
seeking and the task–technology fit (TTF) model. Journal of the American
Society for Information Science and Technology, 55, 731-742.
4. Dishaw, M.T., Strong D. M. (1999). Extending the technology acceptance
model with task-technology fit constructs. Information and Management,
36(1),9-21.
5. Emory,C.W.&Copper,D.R.(1991).Business Research Method,4th
ed. ,Homeword:IL,Irwin.
6. Fornell, C., & Larcker, D. F. (1981) ,Evaluating structural equations models
with unobservable variables and measurement error,Journal of 56 Marketing
Research, 18(1), 39-50.
7. Goodhue, D. L. (1998) , Development and measurement validity of a
task‐technology fit instrument for user evaluations of information system,
Decision sciences, 29(1), 105-138.
8. Goodhue, D. L., & Thompson, R. L. (1995) , Task-technology fit and
individual performance, MIS quarterly, 213-236.
9. Hsiao, M. H. (2018). A conceptual framework for technology-enabled and
technology-dependent user behavior toward device mesh and mesh app. Future
Business Journal, 4(1), 130-138.
10. John and Saonee(2002),Andrew Urbaczewski and Suprateek Sarker,
“Studying Customer Evaluations of Electronic Commerce Applications: A Review and Adaptation of the Task-Technology Fit Perspective,“36th Hawaii International Conference on System Sciences.
11. Kieran, Mathieson & Mark Keil(1998). Beyond the interface:Ease of use and
task/technology fit. Information and Mananagement, 34, 221-230.
12. McCallum, J., Simons, L., Simons, J. and Friedlander, Y. (1994) , Low serum
cholesterol is not associated with depression in the elderly: Data from an Australian community study, Australian and New Zealand Journal of Medicine,24(5), 561-564.
13. McGill, T. J., & Klobas, J. E. (2009) , A task–technology fit view of learning
management system impact, Computers & Education, 52(2), 496-508.
14. Nunnally,J.C.(1978).Psychometric theory(2nd ed.).New York:McGraw-Hill.
15. Staples,D. S. & P. Seddon, (2004). Testing the Technology–to–Performance
Chain model. Journal of Organizational and End User Computing, 16, 17-36.
16. Zigurs, I. & Buckland, B. K., (1998). A Theory of Task-Technology Fit and
Group Support Systems Effectiveness. MIS Quarterly, 313-334.