請用此 Handle URI 來引用此文件：
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/15253完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 李吉仁 | |
| dc.contributor.author | I-Hsiung Chang | en |
| dc.contributor.author | 張義雄 | zh_TW |
| dc.date.accessioned | 2021-06-07T17:28:59Z | - |
| dc.date.copyright | 2020-03-03 | |
| dc.date.issued | 2020 | |
| dc.date.submitted | 2020-02-21 | |
| dc.identifier.citation | ㄧ、中文文獻
江豐光、李世宗，2002，教學軟體設計製作與評鑑—國小一年級數學科為例，TANET 2002年台灣網際網路研討會：新世代寬頻網路全方位資訊服務，新竹市，臺灣。 李美華、孔祥明、林嘉娟、王婷玉譯，1998，社會科學研究方法，臺北市，臺灣：時英。Earl, R. Babbie.1975. The Practice of Social Research. California, California: Wadsworth Publishing Company. 李昕芮，2015，幼兒園家長使用 LINE APP進行親師溝通之相關研究，樹德科技大學兒童與家庭服務系未出版之碩士論文，高雄市，臺灣。 呂以榮譯，2002，問卷設計.訪談及態度測量，臺北市，臺灣：六合。 A.N.Oppenheim.1992.Questionnaire Design, Interviewing and Attitude Measurement.New York,NY: Basic Books. 吳明隆，2007，結構方程模式－AMOS的操作與應用，臺北市，臺灣：五南。 吳明隆，2009，結構方程模式－方法與實務應用，高雄市，臺灣：麗文。 何秋燕，2019，國小學童家長透過LINE與教師進行親師溝通之行為意圖研究-以嘉義地區為例，南華大學資訊管理學系未出版之碩士論文，嘉義縣，臺灣。 邱皓政，2008，結構方程模式的檢定力分析與樣本數決定，αβγ量化研究學刊，2卷1期：139-173。 邱皓政、林碧芳，2009，結構方程模型的原理與應用，北京市，中國：中國輕工業。 邱文津，2015，即時通訊LINE在國小親師溝通應用之調查，國立高雄師範大學工業科技教育學系未出版之碩士論文)，高雄市，臺灣。 林丙茂，2009，使用優學網建構網路化班級經營之探討，國立雲林科技大學資訊管理系未出版之碩士論文，雲林縣，臺灣。 周芳玉，2011，QR Code應用於家庭聯絡簿及親師溝通之探究，南華大學資訊管理學系未出版之碩士論文，嘉義縣，臺灣。 施文正，2004，以平衡計分卡觀點探討非營利組織績效衡量制度-以高雄地區大專院校學務處為例，義守大學管理科學研究所未出版之碩士論文) ，高雄市，臺灣。 施柏燁，2014，社群媒體-使用者研究之概念、方法與方法論初探，傳播研究 實踐，4卷2期：210。 袁方編，2002，社會研究方法，臺北市，臺灣：五南。 袁和騰，2008，行動式親師緊急聯絡系統及家庭聯絡簿之設計與實作，義守大學資訊工程學系未出版之碩士論文，高雄市，臺灣。 畢恆達，1996，詮釋學與質性研究。載於胡幼慧(主編)，質性研究：理論、方法及本土女性研究實例，臺北市，臺灣：巨流。 連清森，2001，國民小學使用「電子聯絡簿」之現況研究，國立高雄師範大學工業科技教育學系未出版之碩士論文，高雄市，臺灣。 張明輝，2002，學校教育與行政革新研究，臺北市，臺灣：師大書苑。 張秀雅，2015，影響家長使用社群網站Facebook進行親師互動行為意圖之研究~以桃園市國小學童家長為例，開南大學資訊學院未出版之碩士論文，桃園市，臺灣。 陳洋港，2009，以科技接受模式探討班級網站對班級向心力的影響─以優學網為例，大葉大學資訊管理學系未出版之碩士論文，彰化縣，臺灣。 陳玉婷、蔡立元，2009，從科技接受模式觀點探討資訊科技融入學習，臺南科大學人文管理，28卷：217-235。 陳美素，2012，網路社群對親師關係建立與互動之研究－以Facebook平台為例，萬能科技大學國際貿易研究所未出版之碩士論文，桃園市，臺灣。 陳儒晰，2013，幼教人員對資訊科技接受態度之調查研究，教育心理學報，44卷3期：669-690。 陳煜璋、吳佳純、王品淇，2016，教師使用行動即時通訊軟體LINE進行親師溝通行為意圖之研究，幼兒保育期刊，4卷：122-139。 許莉吟，2014，家長採用Facebook進行親師溝通之研究，康寧大學資訊傳播研 究所，臺南市，臺灣。 黃芳銘，2007，結構方程模式：理論與應用（五版），臺北市，臺灣：五南。 曾新鳳，2015，學童家長透過LINE進行親師互動之研究，健行科技大學資訊管理系未出版之碩士論文，桃園市，臺灣。 蔡瑞榮，2002，疏通溝通管道-親師線上三贏，師說，163卷：5-6。 蕭文龍，2013，統計分析入門與應用：SPSS中文版+PLS-SEM(SmartPLS)，臺北市，臺灣：碁峰資訊。 蘇俐雯，2019，臺南市幼兒園家長使用科技接收模式進行親師溝通之調查，國立臺南大學幼兒教育學系未出版之碩士論文，臺南市，臺灣。 二、英文文獻 Adams, D. A., Nelson, R. R., & Todd, P. A. 1992. Perceived usefulness, ease of use, and usage of information technology - a replication. MIS quarterly,16(2):227-247. Ahn, S. H., Zhiang, J., Kim, H., Chang, S., Shin, J., Kim, M., . . . Park, Y. R. 2019. Postvaccination fever response rates in children derived using the fever coach mobile app: A retrospective observational study. Jmir Mhealth and Uhealth, 7(4):15. doi: 10.2196/12223 Ahtinen, A., Mattila, E., Valkkynen, P., Kaipainen, K., Vanhala, T., Ermes, M., . . . Lappalainen, R. 2013. Mobile mental wellness training for stress management: Feasibility and design implications based on a one-month field study. Jmir Mhealth and Uhealth, 1(2):13. doi: 10.2196/mhealth.2596 Boakye, K. G., Chiang, C. Y., & Tang, X. 2018. Toward an integrated decision-making model for consumer electronic. Journal of Computer Information Systems, 58(3):264-273. doi: 10.1080/08874417.2016.1235474 Bollen, K.A. 1989. Structural equations with latent variables. New York,NY: Wiley. Broekhuis, M., van Velsen, L., & Hermens, H. 2019. Assessing usability of ehealth technology: A comparison of usability benchmarking instruments. International Journal of Medical Informatics, 128:24-31. doi: 10.1016/j.ijmedinf.2019.05.001 Broekman, F. L., Piotrowski, J. T., Beentjes, H. W. J., & Valkenburg, P. M. 2018. App features that fulfill parents’ needs in apps for children. Mobile Media & Communication, 6(3):367-389. doi: 10.1177/2050157918759571 Burton, K. L. O., Morrow, A. M., Beswick, B. V., & Khut, G. P. 2018. The feasibility of using the brighthearts biofeedback-assisted relaxation application for the management of pediatric procedural pain: A pilot study. Pain Practice, 18(8): 979-987. doi: 10.1111/papr.12696 Byrne, B. B. 2010. Structural equation modeling using AMOS: Basic concepts, applications, and programming (2nd Ed). New York,NY: Routledge. Chen, C. C., & Tsai, J. L. 2019. Determinants of behavioral intention to use the personalized location-based mobile tourism application: An empirical study by integrating tam with issm. Future Generation Computer Systems-the International Journal of Escience, 96:628-638. doi: 10.1016/j.future.2017.02.028 Chen, J. H., & Fu, J. R.2018. On the effects of perceived value in the mobile moment. Electronic Commerce Research and Applications, 27:118-128. doi: 10.1016/j.elerap.2017.12.009 Chen, M. F., & Lin, N. P. 2018. Incorporation of health consciousness into the technology readiness and acceptance model to predict app download and usage intentions. Internet Research, 28(2):351-373. doi: 10.1108/IntR-03-2017-0099 Chen, T., Drennan, J., Andrews, L., & Hollebeek, L. D. (2018). User experience sharing: Understanding customer initiation of value co-creation in online communities. European Journal of Marketing, 52(5-6):1154-1184. doi: 10.1108/ejm-05-2016-0298 Chen, Z., & Dubinsky, A. J. 2003. A conceptual model of perceived customer value in e-commerce: A preliminary investigation. Psychology & Marketing, 20(4):323-347. doi: 10.1002/mar.10076 Cheung, D. S. T., Or, C. K. L., So, M. K. P., & Tiwari, A.2018. Usability testing of a smartphone application for delivering qigong training. Journal of Medical Systems, 42(10):8. doi: 10.1007/s10916-018-1048-9 Chiang, C. Y., Boakye, K., & Tang, X. 2019. The investigation of e-learning system design quality on usage intention. Journal of Computer Information Systems, 59(3):256-265. doi: 10.1080/08874417.2017.1342176 Cho, J. 2016. The impact of post-adoption beliefs on the continued use of health apps. International Journal of Medical Informatics, 87:75-83. doi: 10.1016/j.ijmedinf.2015.12.016 Cho, M., Bonn, M. A., & Li, J. 2019. Differences in perceptions about food delivery apps between single-person and multi-person households. International Journal of Hospitality Management, 77:108-116. doi: 10.1016/j.ijhm.2018.06.019 Choi, K., Wang, Y., & Sparks, B.2019. Travel app users’ continued use intentions: It’s a matter of value and trust. Journal of Travel & Tourism Marketing, 36(1):131-143. doi: 10.1080/10548408.2018.1505580 Cushing, C. C., Fedele, D. A., Brannon, E. E., & Kichline, T. 2018. Parents’ perspectives on the theoretical domains framework elements needed in a pediatric health behavior app: A crowdsourced social validity study. Jmir Mhealth and Uhealth, 6(12):10. doi: 10.2196/mhealth.9808 Davis, F. D. 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly,13(3):319-340. Ek, A., Sandborg, J., Nystrom, C. D., Lindqvist, A. K., Rutberg, S., & Lof, M. 2019. Physical activity and mobile phone apps in the preschool age: Perceptions of teachers and parents. Jmir Mhealth and Uhealth, 7(4):11. doi: 10.2196/12512 Fiks, A. G., Fleisher, L., Berrigan, L., Sykes, E., Mayne, S. L., Gruver, R., . . . McMahon, P.2018. Usability, acceptability, and impact of a pediatric teledermatology mobile health application. Telemedicine and E-Health, 24(3):236-245. doi: 10.1089/tmj.2017.0075 Gong, X. Y., Liu, Z. Y., Zheng, X. B., & Wu, T. L. 2018. Why are experienced users of wechat likely to continue using the app? Asia Pacific Journal of Marketing and Logistics, 30(4):1013-1039. doi: 10.1108/apjml-10-2017-0246 Heinonen, K., Jaakkola, E., & Neganova, I. (2018). Drivers, types and value outcomes of customer-to-customer interaction: An integrative review and research agenda. Journal of Service Theory and Practice, 28(6):710-732. doi: 10.1108/jstp-01-2017-0010 Holtz, B. E., Murray, K. M., Hershey, D. D., Richman, J., Dunneback, J. K., Vyas, A., & Wood, M. A. 2019. The design and development of myt1dhero: A mobile app for adolescents with type 1 diabetes and their parents. Journal of Telemedicine and Telecare, 25(3):172-180. doi: 10.1177/1357633x17745470 Hsiao, C. H., Chang, J. J., & Tang, K. Y. 2016. Exploring the influential factors in continuance usage of mobile social apps: Satisfaction, habit, and customer value perspectives. Telematics and Informatics, 33(2):342-355. doi: 10.1016/j.tele.2015.08.014 Hsu, C. L., & Lin, J. C. C. 2015. What drives purchase intention for paid mobile apps? - an expectation confirmation model with perceived value. Electronic Commerce Research and Applications, 14(1):46-57. doi: 10.1016/j.elerap.2014.11.003 Hsu, J. S. C., Lin, T. C., Fu, T. W., & Hung, Y. W. 2015. The effect of unexpected features on app users’ continuance intention. Electronic Commerce Research and Applications, 14(6):418-430. doi: 10.1016/j.elerap.2015.06.003 Hull, P., Emerson, J. S., Quirk, M. E., Canedo, J. R., Jones, J. L., Vylegzhanina, V., . . . Husaini, B. A. 2017. A smartphone app for families with preschool-aged children in a public nutrition program: Prototype development and beta-testing. Jmir Mhealth and Uhealth, 5(8):19. doi: 10.2196/mhealth.7477 Iyer, P., Davari, A., & Mukherjee, A.2018. Investigating the effectiveness of retailers’ mobile applications in determining customer satisfaction and repatronage intentions? A congruency perspective. Journal of Retailing and Consumer Services, 44:235-243. doi: 10.1016/j.jretconser.2018.07.017 Kang, H., & Park, H. A. 2016. A mobile app for hypertension management based on clinical practice guidelines: Development and deployment. Jmir Mhealth and Uhealth, 4(1):185-198. doi: 10.2196/mhealth.4966 Kim, U. O., Barnekow, K., Ahamed, S. I., Dreier, S., Jone, C., Taylor, M., . . . Basir, M. A. 2019. Smartphone-based prenatal education for parents with preterm birth risk factors. Patient Education and Counseling, 102(4):701-708. doi: 10.1016/j.pec.2018.10.024 Kline, R. B. 2010. Principles and practice of structural equation modeling (3rd ed.). New York,NY: Guilford. Kummer, T. F., Ryschka, S., & Bick, M. 2018. Why do we share where we are? The influence of situational factors on the conditional value of check-in services. Decision Support Systems, 115:1-12. doi: 10.1016/j.dss.2018.08.012 Kwong, A. K. L., Eeles, A. L., Olsen, J. E., Cheong, J. L. Y., Doyle, L. W., & Spittle, A. J. 2019. The baby moves smartphone app for general movements assessment: Engagement amongst extremely preterm and term-born infants in a state-wide geographical study. Journal of Paediatrics and Child Health, 55(5):548-554. doi: 10.1111/jpc.14240 Lam, S. Y., Shankar, V., Erramilli, M. K., & Murthy, B. 2004. Customer value, satisfaction, loyalty, and switching costs: An illustration from a business-to-business service context. Journal of the Academy of Marketing Science, 32(3):293-311. doi: 10.1177/0092070304263330 Lee, C. Y., Tsao, C. H., & Chang, W. C. 2015. The relationship between attitude toward using and customer satisfaction with mobile application services an empirical study from the life insurance industry. Journal of Enterprise Information Management, 28(5):680-697. doi: 10.1108/jeim-07-2014-0077 Lee, S. H., Lee, B. Y., & Kim, H. W. 2019. Decisional factors leading to the reuse of an on-demand ride service. Information & Management, 56(4):493-506. doi: 10.1016/j.im.2018.09.010 Leon, S. 2018. Service mobile apps: A millennial generation perspective. Industrial Management & Data Systems, 118(9):1837-1860. doi: 10.1108/imds-10-2017-0479 Lieffers, J. R. L., Valaitis, R. F., George, T., Wilson, M., Macdonald, J., & Hanning, R. M. 2018. A qualitative evaluation of the eatracker (r) mobile app. Nutrients, 10(10):11. doi: 10.3390/nu10101462 Li-Ying, J., Mothe, C., & Nguyen, T. T. U. 2018. Linking forms of inbound open innovation to a driver-based typology of environmental innovation: Evidence from french manufacturing firms. Technological Forecasting and Social Change, 135:51-63. doi: 10.1016/j.techfore.2017.05.031 MacCallum, R. C., Browne, M. W., & Sugawara, H. M. 1996. Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1:130-149. Mackert, M., Mabry-Flynn, A., Champlin, S., Donovan, E. E., & Pounders, K. 2016. Health literacy and health information technology adoption: The potential for a new digital divide. Journal of Medical Internet Research, 18(10):16. doi: 10.2196/jmir.6349 Mauch, C. E., Wycherley, T. P., Laws, R. A., Johnson, B. J., Bell, L. K., & Golley, R. K. (2018). Mobile apps to support healthy family food provision: Systematic assessment of popular, commercially available apps. Jmir Mhealth and Uhealth, 6(12):13. doi: 10.2196/11867 McCloskey, M. L., Johnson, S. L., Bekelman, T. A., Martin, C. K., & Bellows, L. L. (2019). Beyond nutrient intake: Use of digital food photography methodology to examine family dinnertime. Journal of Nutrition Education and Behavior, 51(5):547-+. doi: 10.1016/j.jneb.2019.01.020 McColl-Kennedy, J. R., Vargo, S. L., Dagger, T. S., Sweeney, J. C., & van Kasteren, Y. 2012. Health care customer value cocreation practice styles. Journal of Service Research, 15(4):370-389. doi: 10.1177/1094670512442806 McConnell, M. V., Shcherbina, A., Pavlovic, A., Homburger, J. R., Goldfeder, R. L., Waggot, D., . . . Ashley, E. A. 2017. Feasibility of obtaining measures of lifestyle from a smartphone app the myheart counts cardiovascular health study. Jama Cardiology, 2(1):67-76. doi: 10.1001/jamacardio.2016.4395 McLean, G. (2018). Examining the determinants and outcomes of mobile app engagement - a longitudinal perspective. Computers in Human Behavior, 84:392-403. doi: 10.1016/j.chb.2018.03.015 Mosavi, A. B., & Afsar, A. 2018. Customer value analysis in banks using data mining and fuzzy analytic hierarchy processes. International Journal of Information Technology & Decision Making, 17(3):819-840. doi: 10.1142/s0219622018500104 Nightingale, R., Hall, A., Gelder, C., Friedl, S., Brennan, E., & Swallow, V. 2017. Desirable components for a customized, home-based, digital care-management app for children and young people with long-term, chronic conditions: A qualitative exploration. Journal of Medical Internet Research, 19(7):12. doi: 10.2196/jmir.7760 Ning, P. S., Gao, D. Y., Cheng, P. X., Schwebel, D. C., Wei, X., Tan, L. H., . . . Hu, G. Q. (2019). Needs analysis for a parenting app to prevent unintentional injury in newborn babies and toddlers: Focus group and survey study among chinese caregivers. Jmir Mhealth and Uhealth, 7(4):12. doi: 10.2196/11957 Nusair, K., Hua, N., Ozturk, A., & Butt, I. 2017. A theoretical framework of electronic word-of-mouth against the backdrop of social networking websites. Journal of Travel & Tourism Marketing, 34(5):653-665. doi: 10.1080/10548408.2016.1218404 Oh, Y. J., Park, H. S., & Min, Y. 2019. Understanding location-based service application connectedness: Model development and cross-validation. Computers in Human Behavior, 94:82-91. doi: 10.1016/j.chb.2019.01.003 Or, C. K. L., Karsh, B. T., Severtson, D. J., Burke, L. J., Brown, R. L., & Brennan, P. F. 2011. Factors affecting home care patients’ acceptance of a web-based interactive self-management technology. Journal of the American Medical Informatics Association, 18(1):51-59. doi: 10.1136/jamia.2010.007336 Rasmussen, E. E., Strouse, G. A., Colwell, M. J., Johnson, C. R., Holiday, S., Brady, K., . . . Norman, M. S. 2019. Promoting preschoolers’ emotional competence through prosocial tv and mobile app use. Media Psychology, 22(1):1-22. doi: 10.1080/15213269.2018.1476890 Richardson, B., Dol, J., Rutledge, K., Monaghan, J., Orovec, A., Howie, K., . . . Campbell-Yeo, M. 2019. Evaluation of mobile apps targeted to parents of infants in the neonatal intensive care unit: Systematic app review. Jmir Mhealth and Uhealth, 7(4):13. doi: 10.2196/11620 Schumacker, R. E., & Lomax, R. G. 2010. A beginner’s guide to structural equation modeling. New York,NY: Routledge. Shorey, S., & Ng, E. D. 2019. Evaluation of mothers’ perceptions of a technology-based supportive educational parenting program (part 2): Qualitative study. Journal of Medical Internet Research, 21(2):13. doi: 10.2196/11065 Shorey, S., Ng, Y. P. M., Ng, E. D., Siew, A. L., Morelius, E., Yoong, J., & Gandhi, M. 2019. Effectiveness of a technology-based supportive educational parenting program on parental outcomes (part 1): Randomized controlled trial. Journal of Medical Internet Research, 21(2):18. doi: 10.2196/10816 Slater, P. J., Fielden, P. E., & Bradford, N. K. 2018. The oncology family app: Providing information and support for families caring for their child with cancer. Journal of Pediatric Oncology Nursing, 35(2):94-102. doi: 10.1177/1043454217741874 Spargo, P., & de Vries, N. K. S. 2018. 'Babble’: A smartphone app for parents who have a baby in the neonatal unit. Journal of Paediatrics and Child Health, 54(2):121-123. doi: 10.1111/jpc.13817 Stocchi, L., Michaelidou, N., Pourazad, N., & Micevski, M. 2018. The rules of engagement: How to motivate consumers to engage with branded mobile apps. Journal of Marketing Management, 34(13-14):1196-1226. doi: 10.1080/0267257x.2018.1544167 Sullivan, A. D., Breslend, N. L., Strolin-Goltzman, J., Bielawski-Branch, A., Jorgenson, J., Deaver, A. H., . . . Forehand, R. 2019. Feasibility investigation: Leveraging smartphone technology in a trauma and behavior management-informed training for foster caregivers. Children and Youth Services Review, 101:363-371. doi: 10.1016/j.childyouth.2019.03.051 Tarafdar, M., & Tanriverdi, H. 2018. Impact of the information technology unit on information technology-embedded product innovation. Journal of the Association for Information Systems, 19(8):716-751. doi: 10.17705/1jais.00507 van Heerden, A., Sen, D., Desmond, C., Louw, J., & Richter, L. 2017. App-supported promotion of child growth and development by community health workers in kenya: Feasibility and acceptability study. Jmir Mhealth and Uhealth, 5(12):8. doi: 10.2196/mhealth.6911 Venkatesh, V. 2000. Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4):342-365. doi: 10.1287/isre.11.4.342.11872 Venkatesh, V., & Davis, F. D. 2000. A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2):186-204. Verissimo, J. M. C. 2018. Usage intensity of mobile medical apps: A tale of two methods. Journal of Business Research, 89:442-447. doi: 10.1016/j.jbusres.2017.12.026 Wai, I. S. H., Ng, S. S. Y., Chiu, D. K. W., Ho, K. K. W., & Lo, P. 2018. Exploring undergraduate students’ usage pattern of mobile apps for education. Journal of Librarianship and Information Science, 50(1):34-47. doi: 10.1177/0961000616662699 Waite-Jones, J. M., Majeed-Ariss, R., Smith, J., Stones, S. R., Van Rooyen, V., & Swallow, V. 2018. Young people’s, parents’, and professionals’ views on required components of mobile apps to support self-management of juvenile arthritis: Qualitative study. Jmir Mhealth and Uhealth, 6(1):11. doi: 10.2196/mhealth.9179 Wang, X. H., & Xing, W. L. 2019. Understanding elementary students’ use of digital textbooks on mobile devices: A structural equation modeling approach. Journal of Educational Computing Research, 57(3):755-776. doi: 10.1177/0735633118758643 Wang, Y. Y., Wang, Y. S., Lin, H. H., & Tsai, T. H. 2019. Developing and validating a model for assessing paid mobile learning app success. Interactive Learning Environments, 27(4):458-477. doi: 10.1080/10494820.2018.1484773 Winders, D., Logsdon, M. C., Vogt, K., Rushton, J., Myers, J., Lauf, A., & Hogan, F. 2017. Parent education is changing: A review of smartphone apps. Mcn-the American Journal of Maternal-Child Nursing, 42(5):248-256. doi: 10.1097/nmc.0000000000000353 Woodruff, R. B. 1997. Customer value: The next source for competitive advantage. Journal of the Academy of Marketing Science, 25(2):139-153. doi: 10.1007/bf02894350 Wu, J. L., Law, R., & Liu, J. Y. 2018. Co-creating value with customers: A study of mobile hotel bookings in china. International Journal of Contemporary Hospitality Management, 30(4):2056-2074. doi: 10.1108/ijchm-08-2016-0476 Xu, C. Y., Peak, D., & Prybutok, V. 2015. A customer value, satisfaction, and loyalty perspective of mobile application recommendations. Decision Support Systems, 79:171-183. doi: 10.1016/j.dss.2015.08.008 Ye, Q. W., Luo, Y. M., Chen, G. Q., Guo, X. H., Wei, Q., & Tan, S. Y. 2019. Users intention for continuous usage of mobile news apps: The roles of quality, switching costs, and personalization. Journal of Systems Science and Systems Engineering, 28(1):91-109. doi: 10.1007/s11518-019-5405-0 | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/15253 | - |
| dc.description.abstract | 台灣因為少子化的因素，家長對托嬰中心及幼兒園要求越來越多，而在此工作的托育人員或幼教老師的工作量大，同時壓力也大。過去這些機構與家長溝通都用紙本聯絡本，當研究者開發了智慧托育APP系統後，我們期望能透過系統性的方法，了解智慧托育APP是否能有效降低工作人員壓力及工作量，以及能否使家長易用、實用及增加家長滿意度？
本研究首先採質性研究手法，了解托嬰中心及幼兒園工作人員使用前後差異，接著再用量化工具研究家長對此智慧托育系統之易用性、實用性、顧客價值及顧客滿意度之相關分析。 質性研究結果顯示托嬰中心、幼兒園現場人員認為使用智慧托育APP系統前後確實有很大的差異，除了減輕工作壓力之外，同時也降低工作量，並且認為智慧托育APP系統是容易上手的，不需要花太多時間去熟悉，對於智慧托育APP給予正向肯定。 量化研究部份，研究者運用問卷調查探討新北市幼兒家長對此應用程式的簡易操作、實務功能、需求價值與使用滿意度之看法，自編「智慧托育APP家長滿意度調查問卷」，涵蓋「易用性」、「實用性」、「顧客價值」與「顧客滿意度」等4個層面；並運用結構方程模式分析問卷資料，檢定樣本資料與研究假設構面模型的適配度；統計分析指出測量模式與結構模式皆具有合理品質。研究結果指出新北市幼兒家長對智慧托育APP的顧客滿意度受到易用性與顧客價值的正向影響，易用性與實用性亦正向影響顧客價值，意指幼兒家長關心智慧托育APP的友善人機介面、實用教養價值與滿足親職需求之感受價值及滿意度。最後，研究者針對研究結果進行討論並提出未來研究建議。 | zh_TW |
| dc.description.abstract | This study first conducted in-depth interviews with on-site childcare staff and teachers with five key questions. We then analyzed user insights from the interviews. Qualitative results showed that the nursery center and kindergarten field staffs indicated that smart caring app do help take care of kids of their institutions. In addition to reducing the work pressure, the smart caring app also reduces the workload, and it is easy to get started and does not need to spend too much time to become familiar with. In other words, the smart caring apps receives initial approval from the field test.
This study then focused on the parents’ experience and satisfaction of using smart caring apps by conducting a questionnaire survey in New Taipei City area. We examined parents’ attitudes toward easy operation, practical functions, demand values, and user satisfaction of interviewees. The questionnaire consists of four factors, including ease of use, usefulness, customer value, and customer satisfaction. We then analyzed data through the structural equation modeling, and tested the model fitness between study data and hypothesis path via latent constructs from questionnaire. The statistical results indicated that the measurement model and structural model with the reasonable quality. Overall results showed that the customer satisfaction of parents using smart caring app is positively affected by the ease of use and customer value. Their attitudes towards ease of use and usefulness also positively influenced their perception of customer value, which meant that the parents considered friendly human-machine interface, practical usage value, and satisfied their caring and educating demands via smart caring app. Implications from the analytical results and suggestions for future research are also discussed. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-07T17:28:59Z (GMT). No. of bitstreams: 1 ntu-109-P03746008-1.pdf: 3823864 bytes, checksum: 24f72509727a141d175f1773c1d44ba3 (MD5) Previous issue date: 2020 | en |
| dc.description.tableofcontents | 目錄
口試委員審定書 I 誌謝 II 中文摘要 III THESIS ABSTRACT IV 目錄 V 圖目錄 VII 表目錄 VIII 第一章 緒論 1 第一節 研究背景與動機 1 第二節 研究問題與目的 8 第三節 研究設計 9 第二章 文獻探討 23 第一節 易用性與實用性的關係 23 第二節 易用性與實用性對顧客價值的影響 27 第三節 易用性與顧客價值對顧客滿意度的影響 30 第四節 不同背景變項對易用性、實用性、顧客價值及顧客滿意度的相 關研究 33 第三章 研究方法 34 第一節 研究架構與假說 34 第二節 研究流程設計 36 第三節 研究工具 37 第四章 研究結果與討論 42 第一節 質性樣本資料分析 42 第二節 量化樣本基本資料分析 50 第三節 智慧托育APP的易用性、實用性、顧客價值與顧客滿意度現況 分析 59 第四節 家長背景與智慧托育APP使用差異分析 65 第五節 結構方程模式 74 第五章 結論與建議 82 第一節 研究結論 82 第二節 研究建議 88 參考文獻 90 附錄 103 附錄一: 易用性、實用性、顧客價值與顧客滿意度的影響關係:以新北 市幼兒家長使用智慧托育APP為例(內容效度版) 103 附錄二: 易用性、實用性、顧客價值與顧客滿意度的影響關係:以新北 市幼兒家長使用智慧托育APP為例(正式版) 106 圖目錄 圖3.1.1 研究架構 35 圖3.2.1 研究流程圖 36 圖4.3.1 學齡前家長使用智慧托育APP對各變項之平均數 59 圖4.5.1 驗證性因素分析 77 圖4.5.2 結構模式的標準化係數路徑 79 表目錄 表1.3.1 本研究範圍 20 表1.3.2 問卷統計 20 表1.3.3 本研究範圍之有效樣本數 21 表3.3.1「訪談對象」一覽表 37 表3.3.2「填答者基本資料」之題項一覽表（初稿） 38 表3.3.3 專業委員名單 39 表3.3.4 易用性問卷效度委員建議及處理結果表 40 表3.3.5 實用性問卷效度委員建議及處理結果表 40 表3.3.6 顧客價值問卷效度委員建議及處理結果表 41 表3.3.7 顧客滿意度問卷效度委員建議及處理結果表 41 表4.1.1 擔任托育人員工作壓力如何之訪談內容 42 表4.1.2 托育人員使用智慧托育APP之前後處理量體溫、紀錄食量，聯絡簿 之差異是什麼之訪談內容 44 表4.1.3 托育人員使用智慧托育APP之後，是否有減輕一些工作負擔及壓力 ，減少多少時間之訪談內容 46 表4.1.4 托育人員使用智慧托育APP之易用性及實用性如何之訪談內容 47 表4.1.5 托育人員對智慧托育APP是否有使用上的建議之訪談內容 48 表4.2.1 問卷回收統計表 50 表4.2.2 小孩性別次數分配表 51 表4.2.3 APP主要使用者次數分配表 51 表4.2.4 家長年齡次數分配表 52 表4.2.5 家長學歷次數分配表 52 表4.2.6 家長職業次數分配表 53 表4.2.7 使用頻率次數分配表 53 表4.2.8 每次使用時間次數分配表 54 表4.2.9 小孩年齡次數分配表 54 表4.2.10 小孩就讀學校次數分配表 55 表4.2.11 樣本基本資料之次數分配表 56 表4.2.12 問卷4個層面之轉軸後因素負荷量與Cronbach’s aphpa係數 57 表4.2.13 問卷各因素層面之相關係數摘要表 58 表4.3.1 「易用性」、「實用性」、「顧客價值」與「顧客滿意度」之整體 總平均數及標準差一覽表 60 表4.3.2 「易用性」構面的各題平均數與標準差一覽表 61 表4.3.3 「實用性」構面的各題平均數與標準差一覽表 62 表4.3.4 「顧客價值」構面的各題平均數與標準差一覽表 63 表4.3.5 「顧客滿意度」構面的各題平均數與標準差一覽表 64 表4.4.1 不同小孩性別在家長使用智慧托育APP上的t檢定摘要表 65 表4.4.2 不同主要APP使用者在家長使用智慧托育APP上之單因子變異數分 析摘要表 66 表4.4.3 不同家長年齡在家長使用智慧托育APP上之單因子變異數分析摘要表 67 表4.4.4 不同家長學歷在家長使用智慧托育APP上之單因子變異數分析摘要表 68 表4.4.5 不同家長職業在家長使用智慧托育APP上之單因子變異數分析摘要表 69 表4.4.6 不同使用頻率在家長使用智慧托育APP上之單因子變異數分析摘要表 70 表4.4.7 不同每次使用時間在家長使用智慧托育APP上之單因子變異數分析 摘要表 70 表4.4.8 不同小孩年齡在家長使用智慧托育APP上之單因子變異數分析摘要表 72 表4.4.9 不同小孩就讀學校在家長使用智慧托育APP上之單因子變異數分析 摘要表 73 表4.5.1 各觀察變項的平均數、標準差、偏態、峰度與因素負荷量摘要 75 表4.5.2 潛在構面的相關係數、組合信度與平均變異萃取量矩陣 78 表4.5.3 結構模式的路徑分析效果值摘要 81 | |
| dc.language.iso | zh-TW | |
| dc.subject | 顧客價值 | zh_TW |
| dc.subject | 顧客滿意度 | zh_TW |
| dc.subject | 智慧托育APP | zh_TW |
| dc.subject | 實用性 | zh_TW |
| dc.subject | 易用性 | zh_TW |
| dc.subject | Customer Satisfaction | en |
| dc.subject | Ease of Use | en |
| dc.subject | Usefulness | en |
| dc.subject | Customer Value | en |
| dc.subject | Smart Caring APP | en |
| dc.title | 智慧托育應用軟體之易用性、實用性、顧客價值與顧客滿意度的實證研究 | zh_TW |
| dc.title | An Empirical Study on the Relationships among Ease of
Use, Usefulness, Customer Value, and Customer Satisfaction of Smart Caring APPs | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 108-1 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 吳政?,郭佳瑋 | |
| dc.subject.keyword | 智慧托育APP,易用性,實用性,顧客價值,顧客滿意度, | zh_TW |
| dc.subject.keyword | Smart Caring APP,Ease of Use,Usefulness,Customer Value,Customer Satisfaction, | en |
| dc.relation.page | 107 | |
| dc.identifier.doi | 10.6342/NTU202000551 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2020-02-24 | |
| dc.contributor.author-college | 管理學院 | zh_TW |
| dc.contributor.author-dept | 國際企業管理組 | zh_TW |
| 顯示於系所單位： | 國際企業管理組 | |
文件中的檔案：
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-109-1.pdf 未授權公開取用 | 3.73 MB | Adobe PDF |
系統中的文件，除了特別指名其著作權條款之外，均受到著作權保護，並且保留所有的權利。