臺灣博碩士論文加值系統

摘 要
隨著社會的發展與文明人們越來越重視外在形象，行動網際網路的普及化與興起美容美髮App的開發也順應而生。美容美髮App主要分為七種功能：線上預約時間、 效果預覽、社群交流平台、會員管理、Google導航、美容美髮資訊分享、優惠促銷推送。在網際網路化的大趨勢下美容美髮App的開發將徹底顛覆傳統美髮行業的營運模式與消費服務習慣。
本研究依研究的目的與架構設計問卷，問卷的內容參考了相關文獻進行問卷內容的初步設計，並經由52名美髮連鎖員工為調查對象作為前測，並再經多次修正之後，始成為正式的問卷。總計發放調查問卷300份，回收270份，共得到252份有效問卷，問卷回收率為93%。由上述分析的結果，分別針對App工具性與正面情緒之關係，正面情緒與持續性使用之關係，App工具性與持續性使用之關係，結果三個假設皆成立。H1：App工具性的使用對正面情緒呈顯著的正向影響假說成立。H2：正面情緒對持續性使用行為呈顯著的正向影響假說成立。H3：App工具性對持續性使用意願呈顯著的正向影響假說成立。
根據本研究結果，可以針對美髮傳統產業轉型，在App工具性的事前準備及使用後的影響提供幾項建議。在轉型執行前擬定完善計畫，針對可能的問題提出可行的方案與決策，確實執行轉型的計畫性，便能增加轉型所帶來的正面影響，所以完臻的計畫性轉型是有助於轉型的執行。App工具性使用後，當組織成員對持續性使用高時，應該會對於組織的政策較為認同並遵守，對於轉型會持較正面的態度，而持續性使用程度越高者，越能肯定組織的轉型，組織會更越容易達成轉型的目標。
關鍵字：App工具性、正面情緒、持續性使用。

ABSTRACT
With the development of society and civilization, people pay more and more attention to the external image, the popularization of the mobile Internet and the development of beauty and hairdressing Apps also follow. The beauty salon App is mainly divided into seven functions: online Appointment time, effect preview, community communication platform, member management, Google navigation, beauty salon information sharing, and promotion and promotion. Under the general trend of Internetization, the development of beauty and hairdressing Apps will completely subvert the operation mode and consumption service habits of the traditional hairdressing industry.
This study designed a questionnaire according to the purpose and structure of the research. The content of the questionnaire was based on the relevant literature for the preliminary design of the questionnaire content, and 52 employees of the hairdressing chain were surveyed as the pre-test. After several revisions, it became a formal 's questionnaire. A total of 300 questionnaires were distributed and 270 were recovered. A total of 252 valid questionnaires were obtained, and the questionnaire recovery rate was 93%. According to the results of the above analysis, the three hypotheses are all established for the relationship between App instrumentality and positive emotion, the relationship between positive emotion and continuous use, and the relationship between App instrumentality and continuous use. H1: The hypothesis that App instrumental use has a significant positive effect on positive emotions is established. H2: The hypothesis that positive emotions have a significant positive effect on persistent use behavior is established. H3: The hypothesis that App instrumentality has a significant positive effect on persistent use intention is established.
According to the results of this study, several suggestions can be provided for the transformation of the traditional hairdressing industry, the pre-preparation of the App tool and the impact after its use. Before the transformation is carried out, a complete plan is drawn up, feasible plans and decisions are put forward for possible problems, and the planned implementation of the transformation can increase the positive impact of the transformation. Therefore, a perfect planned transformation is helpful. on the implementation of the transformation. After the App is used as a tool, when members of the organization have high continuous use, they should agree with and comply with the organization's policies, and have a more positive attitude towards transformation. The higher the degree of continuous use, the more certain the organization's transformation, the organization will more easily achieve the goal of transformation.
Keywords: App instrumentality, positive emotions, continuous use

目 錄
摘要…………………………………………………………………………………………………………i
ABSTRACT……………………………………………………………………………………………ii
謝辭………………………………………………………………………………………………………iv
目錄…………………………………………………………………………………………………………v
表目錄…………………………………………………………………………………………………vii
圖目錄……………………………………………………………………………………………………ix
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…………………………………………………………………2
第三節 研究範圍與限制…………………………………………………………………3
第四節 研究方法與步驟…………………………………………………………………3
第五節 解釋名詞…………………………………………………………………………………3
第二章 文獻探討…………………………………………………………………………………5
第一節 App工具性………………………………………………………………………………5
第二節 正面情緒…………………………………………………………………………………6
第三節 持續性使用……………………………………………………………………………8
第三章 研究方法………………………………………………………………………………11
第一節 研究架構………………………………………………………………………………11
第二節 研究假設………………………………………………………………………………11
第三節 樣本與資料收集…………………………………………………………………12
第四節 操作型定義與衡量工具……………………………………………………13
第五節 資料分析方法………………………………………………………………………14
第四章 研究結果與分析…………………………………………………………………17
第一節 描述性統計分析…………………………………………………………………17
第二節 因素分析………………………………………………………………………………20
第三節 信度分析………………………………………………………………………………23
第四節 相關分析………………………………………………………………………………24
第五節 平均數差異分析…………………………………………………………………26
第六節 迴歸分析………………………………………………………………………………34
第五章 結論與建議…………………………………………………………………………40
第一節 結論…………………………………………………………………………………………40
第二節 與先前文獻異同說明………………………………………………………41
第三節 管理實務建議……………………………………………………………………42
第四節 研究限制與研究建議………………………………………………………43
參考文獻………………………………………………………………………………………………44
附錄…………………………………………………………………………………………………………48

中文文獻
品向科技(2016/08)。美容美髮行業現狀分析及解決方案。來源取自https：//read01.com/0Q6E0g.html
吳宇軒(2019)。共享經濟應用於美髮產業之行動網路平台概念設計。中原大學商業設計研究所學位論文2019年。
林佩穎(2018)。商業用飲料訂購系統App介面設計滿意度之研究。中華科技印刷年報(2018/04/01)，P181-209。
張睿濂(2021)。購物中心賣場氣氛與消費情緒對衝動性消費的影響：以擁擠感知作為干擾變項。義守大學管理碩博士論文碩士班。
朱永蕙、劉嘉麒(2018)。過度服務對消費者情緒、滿意度與口碑之研究。餐旅暨觀光，15卷2期(2018/12/01)，P1-19。
魏志雄、江浩騰(2016)。食安事件(餿水油)下不同國家消費者的反應-消費者知覺倫理、正/負面情緒與購買意願關係之研究農業經濟叢刊。22卷1期(2016/06/01)，P149 – 191。
邱采柔(2019)。CUE模型探討社群App使用行為之創新研究。世新大學資訊管理研究所(含碩專班)2019論文。頁數105:https://hdl.handle.net/11296/rj638z。
陳炫碩、 張耿郡、詹智超(2017)。行動應用程式的持續使用行為之研究商管科技季刊。18卷3期(2017/09/01)，P315-348。
黃日鉦、林承賢(2013)。計畫行為理論探討縮短數位落差之持續使用行為商略學報。5卷1期(2013/03/01)，P57-78。
 
英文文獻
Agarwal, R., Sambamurthy, V. and Stair, R.M. (2000), “Research report:the evolving relationship between general and specific computer self-efficacy – an empirical assessment”, Information Systems Research, Vol. 11 No. 4, pp. 418-430.
Bhattacherjee, A. (2001a). Understanding information systems continuance:An Expectation-Confirmation Model. MIS Quarterly, 25, 351-370
Brown, S.A., Fuller, R.M. and Vician, C. (2004), “Who’s afraid of the virtual world? Anxiety and computer-mediated communication”, Journal of the Association for Information Systems, Vol. 5 No. 2, pp. 79-107.
Chitturi, R., Raghunathan, R. and Mahajan, V. (2008), “Delight by design:the role of hedonic versus utilitarian benefits”, Journal of Marketing, Vol. 72 No. 3, pp. 48-63. expectation-confirmation model. MIS Quarterly, 25(3), 351−370.
Flurry (2011), “iOS & Android apps challenged by Traffic Acquisition not Discovery”, available. at:http://blog.flurry.com/bid/76874/iOS-Android-Apps-Challenged-by-Traffic-Acquisition-Not-Discovery (accessed 15 Feburary 2014).
Fullerton, G. (2003), “When does commitment lead to loyalty?”, Journal of Service Research, Vol. 5 No. 4, pp. 333-344.
Han, S., Lerner, J.S. and Keltner, D. (2007), “Feelings and consumer decision making:the Appraisal-tendency framework”, Journal of Consumer Psychology, Vol. 17 No. 3, 849 pp. 158-168.
Holbrook, M.B. and Batra, R. (1987), “Assessing the role of emotions as mediators of consumer responses to advertising”, Journal of Consumer Research, Vol. 14 No. 3, pp. 404-420.
Holbrook, M.B. and Hirschman, E.C. (1982), “The experiential aspects of consumption：consumer fantasies, feelings, and fun”, Journal of Consumer Research, Vol. 9 No. 2, pp. 132-140.
Huang, T.C.-K., Wu, I.-L. and Chou, C.-C. (2013), “Investigating use continuance of data mining tools"”, International Journal of Information Management, Vol. 33 No. 5, pp. 791-801.
Izard, C.E. (2007), “Basic emotions, natural kinds, emotion schemas, and a new paradigm”, Perspectives on Psychological Science, Vol. 2 No. 3, pp. 260-280.
Kim, H.-W., Chan, H.C. and Chan, Y.P. (2007), “A balanced thinking-feelings model of information systems continuance”, International Journal of Human-Computer Studies, Vol. 65 No. 6, pp. 511-525.
Koufaris, Ｃ. (2002), “Applying the technology acceptance model and flow theory to online consumer behavior”, Information Systems Research, Vol. 13 No. 2, pp. 205-223.
Larivière, B., Joosten, H., Malthouse, E.C., Birgelen, M., van, Aksoy, P., Kunz, W.H. and Huang, M.-H.(2013), “Value fusion:the blending of consumer and firm value in the distinct context of mobile technologies and social media”, Journal of Service Management, Vol. 24 No. 3, pp. 268-293.
Lazarus, R.S. (1991), “Cognition and motivation in emotion”, American Psychologist, Vol. 46 No. 4, pp. 352-367.
Lin, C.-P. and Bhattacherjee, A. (2010), “Extending technology usage models to interactive hedonic technologies:a theoretical model and empirical test”, Information Systems Journal, Vol. 20 No. 2, pp. 163-181.
MacDowell, K. and Mandler, G. (1989), “Constructions of emotion:discrepancy, arousal, and mood”, Motivation and Emotion, Vol. 13 No. 2, pp. 105-124.
Mahlke, S.,&Thuring, M. (2007). Studying Antecedents of Emotional Experiences in Interactive Contexts. In M. B. Rosson,&D. Gilmore (Eds.), Proceedings of the SIGCHI conference on Human Factors in Computing Systems (pp. 915-918). New York, NY:ACM. https://doi.org/10.1145/1240624.1240762 Not-Discovery (accessed 15 Feburary 2014).
Oliver, R.L. (1994), “Conceptual issues in the structural analysis of consumption emotion, satisfaction, and quality:evidence in a service setting”, Advances in Consumer Research, Vol. 21 No. 1, pp. 16-22.
Price, L.L., Arnould, E.J. and Tierney, P. (1995), “Going to extremes:managing service encounters and assessing provider performance”, Journal of Marketing, Vol. 59 No. 2, pp. 83-97.
Russell, J.A. (2003), “Core affect and the psychological construction of emotion”, Psychological Review, Vol. 110 No. 1, pp. 145-172.
Seidah, A. and Bouffard, T. (2007), “Being proud of oneself as a person or being proud of one’s physical Appearance:what matters for feeling well in adolescence?”, Social Behavior and Personality, Vol. 35 No. 2, pp. 255-268.
Venkatesh, V. and Goyal, S. (2010), “Expectation disconfirmation and technology adoption： polynomial modeling and response surface analysis”, MIS Quarterly, Vol. 34 No. 2, pp. 281-303.
Venkatesh, V., Thong, J.Y.L. and Xu, X. (2012), “Consumer acceptance and use of information technology：extending the unified theory of acceptance and use of technology”, MIS Quarterly, Vol. 36 No. 1, pp. 157-178.
Westbrook, R.A. and Oliver R.L. (1991), “The dimensionality of consumption emotion patterns and consumer satisfaction”, Journal of Consumer Research, Vol. 18 No. 1, pp. 84-91.
Wu, J. and HolsApple, C. (2014), “Imaginal and emotional experiences in pleasure-oriented IT usage:a hedonic consumption perspective”, Information & Management, Vol. 51 No. 1, pp. 80-92.
Yi Ding and Kah Hin Chai (2015) Emotions and continued usage of mobile Applications The current issue and full text archive of this journal is available on Emerald Insight at:www.emeraldinsight.com/0263-5577.htm
Yoo, Y. (2010), “Computing in everyday life:a call for research on experiential computing”, MIS Quarterly, Vol. 34 No. 2, pp. 213-231.
Yu, Y.-T. and Dean, A. (2001), “The contribution of emotional satisfaction to consumer loyalty”, International Journal of Service Industry Management, Vol. 12 No. 3, pp. 234-250.
Zhou, T. (2014), “Understanding the determinants of mobile payment continuance usage”, Industrial Management & Data Systems, Vol. 114 No. 6, pp. 936-948.