Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/123673
題名: 以使用者經驗為中心之遠距健康照護科技接受模式之研究 -以竹山秀傳醫院遠距健康照護中心為例
The Research into User Experience-Centered Technology Acceptance Model of Telehealth Care -The Case of ChuShang Show Chwan Hospital Telehealth Care Center
作者: 斯維雯
Szu, Wei-Wen
貢獻者: 姜國輝
Chiang, Johannes K.
斯維雯
Szu, Wei-Wen
關鍵詞: 遠距健康照護
使用者經驗
科技接受模式
付費意願
偏最小平方法
Telehealth care
User experience
Technology acceptance model
Willingness to pay
Partial Least Square
日期: 2019
上傳時間: 3-Jun-2019
摘要: 我國於2018年進入高齡社會,為達到健康老化、成功老化之目的,遠距健康照護成為政府重大施政目標之一。中老齡長者及慢性患者是否採用遠距健康照護是遠距健康照護成功與否的領先指標,惟現行實施存在一些問題,一是使用者對新科技之使用,二是使用者付費問題。如何以使用者經驗為中心了解問題原因,促使使用者加入或持續使用遠距健康照護服務,是本研究重點。本研究設定之目的有三(1)探討使用者經驗如何透過科技接受模式驗證影響使用者之使用意願(2)現有使用者及潛在使用者的使用意願有何不同(3)探討付費與否如何影響使用意願。\n本研究以使用者經驗為中心,以遠距健康照護服務的使用者經驗(價值、創新、可取得、信任)為科技接受模式的外部變數,探討使用者經驗如何影響知覺有用性、知覺易用性,並進而影響使用意圖與持續使用行為。\n研究對象為竹山秀傳醫院遠距健康照護中心之使用者(原先未付費)及潛在使用者。有效問卷調查共八百零六人,研究結論(1)從使用者經驗觀點來看,要加強使用者之使用意圖,建議對現有使用者加強遠距健康照護之有用性,對潛在使用者作教育訓練以熟悉遠距服務之易用性。(2)以付費與否來看現有使用者,沒有付費高低的問題,只要付費就不接受(3)以付費與否來看潛在使用者,應將資源放在對願付費潛在使用者之易用性宣導,並調整在附加服務的投資。\n本研究之學術意涵有四(1)以使用者經驗為科技接受模式之外部變數(2)考量整體遠照護服務設計而非單一產品之使用者經驗(3)科技接受模式考量付費意願之研究模式(4)現有使用者及潛在使用者使用行為差異性之研究模式。實務意涵有三(1)有助於了解影響使用遠距健康照護之因素(2)以使用者經驗為中心,可供修正現行作法(3)推廣及教育訓練作法
We have entered the aging society in 2018. For the purpose of achieving healthy aging and successful aging, telehealth care has become one of the major government goals. Whether elderly patients and chronic patients adopt telehealth care is the leading indicator of the success of telehealth care. However, there are some problems in the current implementation. One is the use of new technology and the other is user payment. The research focus on understanding the cause of the problems based on user experience and encouraging users to join or continue to use telehealth care services. The purposes of this study are (1) how user experience affects the user`s willingness to use telehealth care services through TAM verification (2) differences in willingness of existing users and potential users to use telehealth care services (3) how the payment will affect the willingness to use telehealth care services.\nThis study focuses on user experience and uses the user experience facets (value, innovation, accessibility, trust) of telehealth care services as external variables of the technology acceptance model to explore how user experience affects perceived usefulness and perceived ease of use and then affect the intention to use and continuous usage.\nThe study object was the users (originally did not pay for the services) and potential users of the Chu Shang Show Chwan Hospital Telehealth Care Center. 806 valid users were surveyed. The conclusions are (1) From the perspective of user experience, to enhance the user`s intention to use, it is recommended to enhance the telehealth care functions to existing users and educate potential users to be familiar with telehealth care services. (2) As of payment issue toward existing users, as long as payment is required, existing users would reject to use no matter how much it costs. (3) As of payment issue toward potential users, it is recommended to allocate resources on educating potential users who are willing to pay to enhance the ease of using telehealth care services. Besides, it is recommended to reduce investment in supplementary services.\nThe implications of this research are (1) user experience facets as external variables of technology acceptance model (2) consideration of the user experience of overall telehealth care services design rather than that of single product (3) the willingness to pay for the technology acceptance model (4) the cause of behavioral intention differences between existing users and potential users. The applications are (1) to understand the factors which affect the use of telehealth care services (2) to correct current practices by user experience-centered to transform current practices (3) promotion and training practices.
參考文獻: 中文部分\n\n周恬弘(2015)。論人計酬是改善醫療和健保困境的好藥方嗎?(上)。獨立評論。\n周春珍、張蓓莉、李冠慧、李亭亭(2009)。科技始於人性-淺談遠距醫療於老人健康照護之應用。護理雜誌,56(6),76-80。\n林金立(2008)。無線生理監測系統運用於居家糖尿病、高血壓老人照顧服務分析。經濟部U-care成果發表暨研討會。\n林金立(2010),遠距照護技術應用於長期照顧模式之探討,輔具之友,第二十七卷,3-11。\n邱皓政(2011)。當 PLS 遇上 SEM:議題與對話。量化研究學刊,3(1),20-53。\n邱曉彥、陳靜敏(2010)。資訊科技與社區護理之結合:遠距護理的興起。源遠護理,4(2),5-10。\n長期照護服務結合遠距照護服務之可行性之專家座談北部場(會議記錄),2016年7月19日。\n張紀萍(2015)。 科技接受模式與應用—以慢性病長者遠距照護使用為例。護理雜誌,63(6):11-16。\n許哲瀚、唐憶淨(2008)。遠距居家照護的現況與未來,台灣老年醫學暨老年學雜誌,3(4),34-47。\n楊雅婷(2009)。以理性行為理論和科技接受模型來探討消費者對創新科技智慧型手機的購買意願行為之研究。未出版之碩士論文,南華大學企業管理系,嘉義縣。\n劉欝鑐(2008)。偏遠地區導入遠距照護服務之研究-以竹山秀傳醫院遠距照護計畫為例。未出版之碩士論文,南開科技大學福祉科技與服務管理所,南投縣。\n蕭文龍(2013)。統計分析入門與應用-SPSS 中文版+ PLS-SEM(SmartPLS), 臺北:碁峰資訊。\n謝淑玲(2015)。遠距健康照護關鍵成功因素:專家特質之影響。未出版之碩士論文,臺灣大學公共衛生碩士學位學程,台北市。\n歐宗殷、彭泉、張寶文、王薏婷、林允斌、黃帟凱、李皇昇(2016)。金門地區遠距居家照護系統可用性及使用者經驗調查之研究。台東大學綠科學學刋,頁64-79。\n張寶文(2015)。以使用者及關係人為基礎之遠距照護服務模式發展與設計。未出版之碩士論文。東海大學工業工程與經營資訊學系。台中市。\n許詩怡(2018)。基於使用者經驗的臺灣院線電影購票手機應用程式原型設計。未出版之碩士論文。世新大學資訊傳播學系。台北市。\n歐勁麟(2012)。以科技接受模式探討智慧型手機購買意願-以iPhone手機為例。未出版之碩士論文。國立高雄應用科技大學企業管理系碩士在職專班。高雄市。\n陳美如、李俊秀、余文瑞、何清幼、 鄭惠美(2012)。應用科技接受模式探討高血壓個案對居家遠距健康照護服務滿意度與付費意願之關係。健康促進暨衛生教育雜誌, 33. 1~22。\n李春麟、方文昌(2012)。科技接受模式再探討:整合資訊科技外部變數之論點。國立台北大學企業管理學報 第97期(102 年06 月)。頁 1-37\n李國瑋(2016)。科技接受或轉換?科技轉換模式的初探及體驗。國立台中科技大學電子商務學報 第十八卷 第二期 2016年12月 頁 183~224。\n任維廉、呂堂榮、劉柏廷(2009)。科技接受行為模式之整合分析-三個主要模式之比較。國立政治大學資管評論 第十五卷 第一期 民國九十八年九月 頁 101-138。\n莊慶達、趙聚誠(2000)。經濟名詞釋典。台北華泰文化。\n楊雅婷(2018)。OTT影音平台的使用者研究:以整合科技接受模式與資訊系統成功模式探討行為意圖圖與付費意願。未出版之碩士論文。國立政治大學傳播學系。台北市。\n林志謙(2018)。手機應用程式使用意圖及付費意願之研究-從眾行為做為干擾因素。未出版之碩士論文。大同大學資訊管理研究所。台北市。\n劉家蓁(2012)。雲端應用服務付費意願。未出版之碩士論文。國立台北科技大學資訊與運籌管理研究所。台北市。\n洪秀婉(2015)。欲迎還拒的科技使用意願:以遠距照護為例。中央大學人文與社會科學簡訊 2015年9月 16卷4期。\n趙必孝(2016)。老年族群接受遠距照護的影響因素。未出版之碩士論文。國立中山大學管理學院高階經營碩士學程在職專班。高雄市。\n林榮霞(2016)。遠距健康照護發展困難因素之探討:以北、中地區遠距照護中心為例。未出版之碩士論文。國立台灣師範大學健康促進與衛生教育學系。台北市。\n林孟輝(2014)。遠距照護服務系統應用於社區醫院門診病患之評估與研究。未出版之碩士論文。國立中山大學醫務管理學系。高雄市。\n翁秀琪、施伯燁、孫式文、方念萱、李嘉維(2009)。從使用者出發的網路資源準社會互動研究:理論建構與使用者經驗研究。新聞學研究,第一零一期,2009年10月 頁1-44。\n陳芃婷、謝育光(2011)。醫療院所導入資通訊技術發展遠距照護服務之探究。科技管理學刊,第 16 卷第 4 期,頁 2-41。\n張嘉秀、李世代(2007)。長期照護資訊發展面面觀。 國立臺北護理健康大學長期照護研究所 長期照護雜誌 11(4), 331-344。\n黃衍文、邱淑芬、潘美連、顧潔光(2012)。資訊與通訊科技在長期照護領域應用之採討。長期照護雜誌 16(3), 219-235。\n王任輝(2015)。電子商務網站RWD介面設計法則之使用者經驗及眼動行為研究。未出版之碩士論文。國立中山大學資訊管理研究所。高雄市。\n呂智惠、謝建成、黃琬姿、黃毓絜(2016)。網站資訊架構之使用者經驗研究:以臺師大科普閱讀網建置與使用性測試為例。國立台灣大學圖書館。大學圖書館(半年刋)第20卷第2期(民105年9月)頁63-87。\n周翠珍(2015)。影響消費者網路購物的關鍵因素-從使用者經驗探討。未出版之碩士論文。元智大學管理碩士在職專班。桃園市。\n林聖硯(2016)。融入使用者經驗的博物館觀眾研究—以國立中正紀念堂為例。未出版碩士論文。國立台北教育大學文化創意產業經營學系。台北市。\n周書暉、林佑全(2011)。結合情境與情緒:人機互動理論沿革與發展。南華大學傳播管理學系 傳播與管理研究;11卷1期 (2011 / 07 / 01) , 頁29 – 68。\n陳曉琦、周汎澔(2010)。Watson人性化關懷照護理論與Swanson關懷照護理論之比較。護理雜誌 ; 57卷3期 (2010 / 06 / 01) ,頁86-92。\n余峻瑜、鄭佩怡(2016)。服務創新與設計之健康照護服務設計規劃模式: 以遠距照護為例。台大管理論叢 27卷1期 頁225-254。\n陳佳慧(2003)。消費者觀賞表演藝術活動付費意願因素評估之研究。未出版之碩士論文。大葉大學休閒事業管理學系。彰化縣。\n蔡宗宏、謝輝龍、莊碧焜、蘇素匹(2011)。遠距健康照護評估量表之發展與驗證。中華企業資源規劃學會 電子商務學報13卷2期 頁435-463。\n蔡宗宏、莊碧焜、藍毓莉(2010)。遠距照護的發展與效能評估之探討-技術、人性、管理的整合觀點。護理雜誌57卷4期 頁83-88。\n張彩秀、葉明珍、樓美玲、劉麗芳、洪麗珍(2007).居家主照顧者與護理人員對遠距居家照護需求之認知差異.澄清醫護管理雜誌,3(1)頁27-34。\n謝錦堂(2009)。使用者經驗對物業管理系統接受度之調節效果:多樣本結構方程模型之應用。華人前瞻研究,5卷2期 頁1-24。\n方世榮、許秋萍(2005)。科技型與人際型服務接觸對關係利益的影響。管理評論 ;24卷2期,頁53 – 76。\n張景盛、翁慧卿、徐村和(2007)。從服務接觸觀點探討不同科別醫療服務品質之差異-以一般科與婦產科門診為例。品質學報;14卷3期,頁301 - 315\n\n英文部分\n\nAjzen, I. (1985). From Intention to Actions: A Theory of Planned Behavior. In J. Kuhl & J. Bechmann (Eds.), Action Control: From Cognition to Behavior.(pp. 11-39). New York: Springer.\nAjzen, I. (1988). Attitudes, personality, and behavior. Chicago, IL: Dorsey Press.\nAjzen, I. (1991). Theory of Planned Behavior. Theories of Cognitive Self-Regulation, 50(2), 179-211.\nApker, J.,Propp, K. M.,Ford, W. S. Z.(2005).Negotiating status and identity tensions in healthcare team interactions: An exploration of nurse role dialectics.Journal of Applied Communication Research,33(2),93-115.\nAsua, J., Orruño, E., Reviriego, E., and Gagnon, M. P. (2012). Healthcare professional acceptance of telemonitoring for chronic care patients in primary care, BMC medical informatics and decision making, 12(1), 139.\nBertrand, M., & Bouchard, S. (2008). Applying the technology acceptance model to VR with people who are favorable to its use. Journal of Cyber Therapy & Rehabilitation, 1(2), 200-210.\nBevan, N. (2001). International standards for HCI and usability. International Journal of Human-Computer Studies, 55(4) , 533-552\nBreidert Christoph, Hahsler, Michael, and Reutterer (2006), "A Review of Methods for Measuring Willingness-to-Pay", Innovative Marketing, 2(4), 8–32.\nCallan, A., and O`Shea, E. (2015). Willingness to pay for telecare programmes to support independent living: Results from a contingent valuation study, Social Science and Medicine, 124, 94-102.\nCenfetelli, R. T.(2004) . Inhibitors and enablers as dual factor concepts in technology usage. Journal of the Association for Information Systems, 5(11-12) , 472-492.\nChase, Richard, & Douglas Stewart (1994). Make Your Service Fail-Safe. Sloan Management Review, 35 (3), 35-44.\nChau & Hu (2002). Information technology acceptance by individual professional: A model comparison approach. Decision Sciences, 32(4), 699-719.\nCohen, J., 1988, Statistical Power Analysis for the Behavioral Sciences, 2th, Mahwah, NJ: Lawrence Erlbaum Associates.\nDavis, F. (1986). A Technology Acceptance Model for Empirically Testing New End- user Information Systems: Theory and Result: Sloan School of Management : Massachusetts Institute of Technology.\nDavis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982-1003.\nDavis, Fred D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly:319-340.\nDiamantopoulos, A. (2006). The error term in formative measurement models: Interpretation and modeling implications. Journal of Modelling in Management, 1(1), 7-17.\nDodds, W. B., Monroe, K. B, & Grewal, D. (1991). Effect of price, brand and store information on buyer’ product evaluation. Journal of Marketing Research, 28(3),307-319.\nDIN EN 9241 210, 2011-01, Ergonomics of human-system interaction - Part 210: Human-centred design for interactive systems, Berlin:Beuth)\nDishaw, M.T. & Strong, D.M.(1999), Extending the Technology Acceptance Model with Task-Technology Fit Constructs, Information & Management, Vol. 36 (1), 9-21.\nFishbein, M. & I. Ajzen. (1975). Belief, Attitude, Intention and Behavior: an Introduction to Theory and Research. Addison-Wesley Boston, MA.\nFornell, C. R. & Bookstein, F.L. (1982). Two Structural Equation Model: LISREL and PLS Applied to Consumer Exit-Voice Theory. Journal of Marketing Research, 19, 440-452.\nGardner B. S.(2011), Responsive Web Design: Enriching the User Experience. Signal Journal, 11, 13-19.\nHassenzahl, M. (2003). The thing and I: understanding the relationship between user and product. In M.Blythe, C. Overbeeke, A. F. Monk, & P. C. Wright (Eds.), Funology: From Usability to Enjoy-ment. Dordrecht: Kluwer, 2003, pp. 31-42.\nHodges, N.N., Watchravesringkan, K., and Kim, Y.(2010). Exploring consumers’ adoption of highly technological fashion products: The role of extrinsic and intrinsic motivational factors, Journal of Fashion Marketing and Management, 14(2), 263-281.\nGarrett.J.J(2002) The Elements of User Experience: User-Centered Design for the Web and Beyond, Second Edition, New Rider Press.\nHu, P. J.-H., Chau, P. Y. K., Sheng, O. R. L., & Tam, K. Y. (1999). Examining the technology acceptance model using physician acceptance of telemedicine technology. Journal of Management Information Systems, 16(2), 91-112.\nHuang, J. C. (2013). Innovative health care delivery system— A questionnaire survey to evaluate the influence of behavioral factors on individuals` acceptance of telecare, Computers in biology and medicine, 43(4), 281-286.\nJoreskog K.G. (1973). A general method for estimating a linear structural equation system. In A. S. Goldberger and O. D. Duncan (Eds.), Structural Equation Models in the Social Sciences. New York: Seminar Press.\nKasper Hornbæk, Morten Hertzum(2017). Technology Acceptance and User Experience: A Review of the Experiential Component in HCI. ACM Transactions on Computer-Human Interaction. 24(5):1-30 • October 2017\nKoufaris, M.(2002). Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior, Information System Research 13(2), 205-223.\nKwon, T. H. & Zmud, R. W. (1987). Unifying the fragmented models of information systems implementation. In Boland, R. J. & Hirschheim, R. A. (Eds.), Critical Issues in Information Systems Research. (pp. 227-251.). New York: John Wiley & Sons\nLaugwitz, B.; Schrepp, M. & Held, T. (2006). Konstruktion eines Fragebogens zur Messung der User Experience von Softwareprodukten. [Construction of a questionnaire for the measurement of user experience of software products] In: A.M. Heinecke & H. Paul (Eds.): Mensch & Computer 2006 – Mensch und Computer im Strukturwandel. Oldenbourg Verlag, pp. 125-134.\nLee, C. K., & Han, S. Y. (2002). Estimating the use and preservation values of national parks’ tourism resources using a contingent valuation method. Tourismmanagement, 23, 531-540.\nLegris, P., Inghamb, J. and Collerette, P. (2003). Why do People Use Information Technology? A Critical Review of the Technology Acceptance Model. Information & Management (40), 191-204\nMartin Schrepp, Andreas Hinderks, Jörg Thomaschewski(2017). Design and Evaluation of a Short Version of the User Experience Questionnaire (UEQ-S), International Journal of Interactive Multimedia and Artificial Intelligence, Vol. 4, N6.\nMartin Schrepp, Andreas Hinderks, Jörg Thomaschewski. Construction of a Benchmark for the User Experience Questionnaire (UEQ). International Journal of Interactive Multimedia and Artificial Intelligence, Vol. 4, N4\nMathieson, K., Peacock, E. & Chin, W. W., (2001), Extending the Technology Acceptance Model: The Influence of Perceived User Resources, The DATA BASE for Advances in Information Systems, Vol. 32(3), 86-112.\nMiller, Klaus M., Hofstetter, Reto, Krohmer, Harley, Zhang, John Z. (2011), "How Should Consumers` Willingness to Pay be Measured? An Empirical Comparison of State-of-the-Art Approaches", Journal of Marketing Research\nPark, S. Y. (2009). An analysis of the technology acceptance model in understanding university students` behavioral intention to use e-Learning. Educational Technology & Society, 12(3), 150-162.\nPirouz, D. M. (2006). An overview of partial least squares. Available at SSRN 1631359.\nPoria, Y., & Oppewal, H. (2002). Student preferences for room attributes at university halls of residence: an application of the willingness to pay technique.Tourism and Hospitality Research, 4(2), 116-129.\nRingle, C. M., Wende, S., & Will, A. (2005). SmartPLS-Version 2.0. Germany: University at Hamburg. Retrieved June 20, 2018, from http://www.smartpls.de.\nSchrepp, M.; Held, T. & Laugwitz, B.(2006): The influence of hedonic quality on the attractiveness of user interfaces of business management software. Interacting with Computers 18, pp. 1055-1069.\nS.M. Aqil Burney, Syed Asim Ali(2017)Discovering the Correlation between Technology Acceptance Model and Usability. IJCSNS International Journal of Computer Science and Network Security, VOL.17 No.11, November 2017\n\nTsai, C. H. (2014). Integrating Social Capital Theory, Social Cognitive Theory, and the Technology Acceptance Model to Explore a Behavioral Model of Telehealth Systems, International journal of environmental research and public health, 11(5), 4905-4925.\nTylor, S. & Todd, P. A. (1995) , Understanding Information Technology Usage: A Test of Computing Information Models, Information Systems Research. Vol6(2), 144-176.\nTaylor, Shirley, and Peter A Todd. (1995). Understanding information technology usage: A test of competing models. Information systems research 6 (2):144-176.\nWang, J. Y., Tsai, C. H., and Wang, S. W. (2013). Using telecare system to construct medication safety mechanisms. Journal of Chemical and Pharmaceutical Research, 5(11), 1-5.\nWHO. (2010). Telemedicine: Opportunities and developments in Member States: report on the second global survey on eHealth (pp. 8-10): World Health Organization.\nWold, Herman (1966). Estimation of principal components and related models by iterative least squares. Krishnaiaah, P.R. Multivariate Analysis. New York: Academic Press, 391–420.\nVenkatesh, Viswanath, Michael G Morris, Gordon B Davis, and Fred D Davis. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly: 425-478.\n\n\n網路資料\n\n行政院衛生署(2008)。民國97年衛生統計系列(二)醫療機構現況及醫院醫療服務量統計。2018年6月20日取自:http://www.doh.gov.tw/cht2006/index_populace.aspx\n行政院衛生署遠距照護試辦計畫(2008)。 2018年7月12日,取自http://doh.telecare.com.tw\n行政院衛生福利部(2015)。虛擬世界發展法規調適-遠距健康照護。https://org.vtaiwan.tw/VTAIWAN_ORG/MODEL6E83.HTM\n周恬弘(2017)。醫療是服務業嗎?獨立評論。https://opinion.cw.com.tw/blog/profile/322/article/5340\nPeter Morville(2004), http://semanticstudios.com/user_experience_design/\nWHO (2015). 10 FACTS ABOUT DIABETES. Retrieved July 19, 2018, from http:// www.who.int/features/factfiles/diabetes/facts/en/index9.html.
描述: 博士
國立政治大學
資訊管理學系
102356501
資料來源: http://thesis.lib.nccu.edu.tw/record/#G0102356501
資料類型: thesis
Appears in Collections:學位論文

Files in This Item:
File Description SizeFormat
650101.pdf2.32 MBAdobe PDF2View/Open
Show full item record

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.