研究生: |
陳琦 Chen, Chi |
---|---|
論文名稱: |
以延伸整合型科技接受模式和數位生活型態探討運動場館APP 的使用意向 A Study On The User Intention of Sports Venues APPs Based On the UTAUT2 and Digital Lifestyle Scale |
指導教授: |
王國欽
Wang, Kuo-Ching |
口試委員: |
掌慶琳
Chang, Ching-Lin 黃品全 Huang, Pin-Chuan 王國欽 Wang, Kuo-Ching |
口試日期: | 2022/01/16 |
學位類別: |
碩士 Master |
系所名稱: |
運動休閒與餐旅管理研究所 Graduate Institute of Sport, Leisure and Hospitality Management |
論文出版年: | 2022 |
畢業學年度: | 110 |
語文別: | 中文 |
論文頁數: | 78 |
中文關鍵詞: | 延伸整合型科技接受模式 、運動場館APP 、數位生活型態 |
英文關鍵詞: | UTAUT2, Sports Venues APP, Digital Lifestyle |
研究方法: | 調查研究 |
DOI URL: | http://doi.org/10.6345/NTNU202201829 |
論文種類: | 學術論文 |
相關次數: | 點閱:138 下載:0 |
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隨著臺灣運動風氣漸盛,民眾對於運動休閒的重視度提升,且對於運動的硬體設施需求大增,進而使運動場館市場在近年內持續發展。運動場館的興起、以及資訊科技與智慧行動裝置發展趨於成熟的背景下,業者推出運動場館APP,希望提供便民服務並拉近場館與消費者間的距離。本研究旨在探討運動場館消費者使用運動場館APP之意願,透過延伸整合型科技接受模式 (UTAUT2) 以及數位生活型態建構問卷量表。本研究以問卷調查法,調查曾使用「World Gym」、「我的健身工廠」、「智慧運動中心」、「17 fit」等運動場館應用程式者。透過便利抽樣方式,共回收397份問卷,扣除無效問卷後,380份為有效問卷。研究結果顯示習慣、享樂動機、績效期望與努力期望對於運動場館APP之使用意向具有正向影響,數位生活型態在UTAUT2與使用意向間則不具顯著調節效果,最後根據本研究結論,建議業者可致力於增加使用者對運動場館之黏著程度,以提升使用APP的「習慣」。
As people in Taiwan are paying more and more attention to sports and leisure activities, the demand for sports facilities has greatly increased, prompting sports venues to flourish in recent years. Owing to the rise of sports venues and the maturity of Taiwan’s information technology and smart mobile devices development, Taiwan's sports venue operators have launched sports venue APP to provide convenient services and shorten the distance between sports venues and consumers. The study aims to explore the willingness of sports venue consumers to adapt sports venue APP, through the extended integrated technology acceptance model (UTAUT2) and digital lifestyle, and experts with sports venues backgrounds were invited to review the content and construct a questionnaire. Questionnaire based on the users of “World Gym”, “My Fitness Factory”, “Smart Sports Center”, and “17 Fit” was adapted in the study. Through convenience sampling, 397 questionnaires were collected, of which 380 were valid. According to the result of the study, habits, hedonic motivation, performance expectations and effort expectations have a positive impact on the intention of using sports venue APP, of which “habits” have the highest predictive power for usage intention, while digital lifestyle has no significant moderating effect between UTAUT2 and use intention. has the highest predictive power. Finally, based on the analysis results, provide practical suggestions for sports venues and APP operators as a reference for continuous improvement.
王豐家、鄭志富、蔡秀華 (2015)。運動中心女性行銷策略之個案研究。臺灣體育運動管理學報,15(2),173-192。
田晧君、牟鍾福 (2016)。智慧型手機運動App Nike+破壞性創新之探討。休閒與社會研究,(13),187-199。
向頡華、楊文廣、柳立偉 (2020)。健康與健身應用程式持續使用之研究-以國內運動社團為例。運動休閒管理學報,17(2),42-59。
何是勳、林明宏、黃美華 (2017)。以能力集合與科技接受模式探討健身APP開發之研究。習慣領域期刊,8(1),89-119。
吳明隆 (2011)。論文寫作與量化研究。臺北市:五南。
吳泓霆 (2017)。延伸UTAUT模型探討遊戲APP使用者接受模式(未出版碩士論文)。健行科技大學,桃園市。
吳慧卿、黃薇伊 (2020)。以科技接受模式探討使用APP觀賞運動賽事消費者之行為意圖。體育學報,53(1),75-94。
李致緯 (2013)。運動員個人品牌經營之研究 (未出版碩士論文)。國立臺灣大學,臺北市。
周尚勤 (2019)。未來每家企業都是科技業全球產業瘋「數位轉型」。取自https://mymkc.com/article/content/23221
林秀真 (2019)。以科技接受模式探討顧客使用自助服務科技之行為意圖─以內湖運動中心為例 (未出版碩士論文)。國立臺灣師範大學,臺北市。
林麗珊 (2021)。行銷轉型前要先營運轉型!17FIT 推一站式解決方案,要當健身美業數位轉型軍火商。取自https://meet.bnext.com.tw/articles/view/47648?
邱皓政 (2010)。量化研究與統計分析:SPSS (PASW) 資料分析範例解析 (五版)。臺北市:五南。
洪佳君、張家榮、陳美燕 (2020)。科技始終來自人性:智慧科技於運動健身業之應用。體育學報,53(2),215-233。
徐志霖 (2020)。臺北市運動中心消費者對行動支付使用意願之研究 (未出版碩士論文)。國立臺灣師範大學,臺北市。
翁晨語、黃惠萍 (2017)。以延伸整合型科技接受模式和數位生活型態探討運動場館APP的使用行為。資訊社會研究,(33),17-64。
財團法人台灣網路資訊中心 (2019)。2019臺灣網路報告。取自 https://report.twnic.tw/2019/
財團法人資訊工業策進會 (2014)。服務創新體驗設計系統研究與推動計畫(2/4)。取自 http://www.es-master.com/xxx02/zhihuixingshoujichiyouluepanxingaoxingdongyingyinfuwuchengzhuliu?tmpl=%2Fsystem%2Fapp%2Fte%E2%80%A6
財團法人資訊工業策進會 (2020)。2019年資訊工業策進會年報。取自https://www.iii.org.tw/Publish/DownloadPages.aspx?fm_sqno=42
國家發展委員會 (2020)。ide@ Taiwan 2020 (創意臺灣) 政策白皮書。取自https://www.ndc.gov.tw/Content_List.aspx?n=CE8524192720696F&upn=FFBA69B8D9791D2D
張巧真、陳筠惠 (2014)。應用延伸型整合科技接受模式探討線上購買意願-以雙媒介之觀點。電子商務研究,12(2),143-168。
張志銘、許真真、趙宸紳、施國森 (2020)。運動健康信念結合科技接受模式探討運動手環與智慧手機使用者的行為。運動與遊憩研究,14(4),1-13。
教育部體育署 (2019)。中華民國108年運動現況調查結案報告書。取自:https://isports.sa.gov.tw/Apps/TIS08/TIS0801M_01V1.aspx?MENU_CD=M07&ITEM_CD=T01&MENU_PRG_CD=12&LEFT_MENU_ACTIVE_ID=26
教育部體育署 (2019)。中華民國109年運動現況調查結案報告書。取自https://isports.sa.gov.tw/apps/Download.aspx?SYS=TIS&MENU_CD=M07&ITEM_CD=T01&MENU_PRG_CD=4&ITEM_PRG_CD=2
陳光宗、施致平 (2014)。科技接受模式於體育運動之應用探討。中華體育季刊,28(3),187-194。
陳健隆 (2014)。臺北市運動中心會員人格特質和運動持續性參與之研究-以大安區運動中心為例。運動休閒管理學報,11(4),39-52。
陳順宇.(2005). 多變量分析.。臺北市:華泰書局。
陳漢利 (2014)。品牌app案例總匯-IKEA用APP將傢俱搬進你家。取自https://reurl.cc/XVp6g7
陳熙文、陳五洲 (2014)。智慧型手機在運動的應用現況及展望。大專體育,(130),32-38。
陶俊麟 (2013)。臺灣APP行動行銷策略之初探研究 (未出版碩士論文)。淡江大學,新北市。
黃宇君、牟鍾福、陳天賜 (2020)。運動社群媒體行銷-以桃園運動城運動i臺灣粉絲專頁為例。運動知識學報,17,175-184。
黃妍榛 (2020)。2019臺北市市民運動中心與直轄市國民運動中心初探。休閒與社會研究,21,53-78。
黃尚毅 (2017)。公立運動場館管理及規劃考量之研究-以高雄市青少年運動園區為例 (未出版碩士論文)。國立成功大學,臺南市。
楊彥甫 (2012)。消費者使用遊戲類行動應用程式(App)之行為研究-影響因素、購買機率、市場佔有率、以及預估App Store與Google Play之市場相互掠奪程度 (未出版碩士論文)。國立東華大學,花蓮縣。
楊豐兆、張祐源 (2021)。以黏著度觀點應用於UTAUT模型探討直播平臺持續關注行為之研究。臺中教育大學學報:數理科技類,35(2),35-56。
葉劭緯、陳昶旭、金修煥 (2015)。主辦運動賽會是利多還是利空?以貝氏理論觀點探討。體育學報,48(4),431-445。
臺灣趨勢研究 (2022)。2021年健身房產業調查報告。取自 https://www.twtrend.com/trend-detail/gymsurvey01/
樊祖燁、鄧宇成、曾湘瑜、李兆潔 (2018)。與你同在,為你喝采-“TWSPORT"App設計與行銷推廣之研究。大仁學報,(52),45-61。
鄭桂玫、徐聖翔 (2013)。消費者運動用品線上商店購物使用意向之研究。體育運動與Amos統計應用期刊,2(1),1-12。
鄭逸寧(2012)。打造企業App應該掌握的5大關鍵。取自https://www.ithome.com.tw/tech/73463
謝菀阡 (2013)。以整合性科技接受模型探討青少年使用手機行動網路服務 (未出版碩士論文)。國立嘉義大學,嘉義市。
顏瓊玉 (2011)。以多邊平臺觀點探討線上軟體平臺對外部開發者之守門機制:以App Store和Android Market為例 (未出版碩士論文)。國立政治大學,臺北市。
蘇翊、程紹同 (2016)。運動App的使用動機與滿意度研究-以臺灣Nike+ running為例。休閒產業管理學刊,9(2),79-104。
Ajzen, I. (1985). From intentions to actions: A Theory of planned behavior. In Kuhl Julius, Beckmann Jurgen (Eds.), Action Control from cognition to behavior (pp.11-39). Berlin, German: Springer.
Ajzen, I., & Fishbein, M. (2005). The influence of attitudes on behavior. In D. Albarracín, B. T. Johnson, & M. P. Zanna (Eds.), The handbook of attitudes (pp. 173-221). Mahwah, NJ : Lawrence Erlbaum Associates Publishers.
Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International journal of information management, 37(3), 99-110.
Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Algharabat, R. (2018). Examining factors influencing Jordanian customers' intentions and adoption of internet banking: Extending UTAUT2 with risk. Journal of Retailing and Consumer Services, 40, 125-138.
Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Williams, M. D. (2016). Consumer adoption of mobile banking in Jordan: Examining the role of usefulness, ease of use, perceived risk and self-efficacy. Journal of Enterprise Information Management, 29 (1), 118-139.
Anderson, W. T., & Golden, L. L. (1984). Lifestyle and psychographics: A critical review and recommendation. Advances in Consumer Research, 11(1), 405-411.
Arenas-Gaitán, J., Peral-Peral, B., & Ramón-Jerónimo, M. (2015). Elderly and internet banking: An application of UTAUT2. Journal of Internet Banking and Commerce, 20(1), 1-23.
Bandura, A. (1986). Social foundations of thought and action. Englewood Cliffs, NJ: Prentice Hall, Inc.
Barbosa, H. F., García-Fernández, J., Pedragosa, V., & Cepeda-Carrion, G. (in press). The use of fitness centre apps and its relation to customer satisfaction: a UTAUT2 perspective. International Journal of Sports Marketing and Sponsorship.
Beh, P. K., Ganesan, Y., Iranmanesh, M., & Foroughi, B. (2021). Using smartwatches for fitness and health monitoring: the UTAUT2 combined with threat appraisal as moderators. Behaviour & Information Technology, 40(3), 282-299.
Can, H., Lu, M., & Gan, L. (2011). The research on application of information technology in sports stadiums. Physics Procedia, 22, 604-609.
Davis, 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.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of applied social psychology, 22(14), 1111-1132.
Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobervables and measurement error. Journal of Marketing Research, 18, 39-50.
Gaski, J. F., & Nevin, J. (1985). The differential effects of exercised and unexercise. Los Angeles, CA: Sage Publication.
Gupta, A., & Dogra, N. (2017). Tourist adoption of mapping apps: A UTAUT2 perspective of smart travellers. Tourism and hospitality management, 23(2), 145-161.
Gupta, A., Dogra, N., & George, B. (2018). What determines tourist adoption of smartphone apps? An analysis based on the UTAUT-2 framework. Journal of Hospitality and Tourism Technology, 9(1), 50-64.
Havighurst, R. J., & Feigenbaum, K. (1959). Leisure and life-style. American Journal of Sociology, 64(4), 396-404.
Hustad, T. P., & Pessemier, E. A. (2011). The development and application of psychographic life style and associated activity and attitude measures. Decatur, GA: Marketing Classics Press.
Kahle, L. R., & Kennedy, P. (1989). Using the list of values (LOV) to understand consumers. Journal of Consumer Marketing, 6(3), 5-12.
Kahle, L. R., Bcatty, S.E., & Homer, P. (1986). consumer values: the list of values (LOV) and values and life style (VALS). Journal of Consumer Research, 13(3), 405-409.
Kang, S. J., Ha, J. P., & Hambrick, M. E. (2015). A mixed-method approach to exploring the motives of sport-related mobile applications among college students. Journal of Sport Management, 29(3), 272-290.
LaValle, S., Lesser, E., Shockley, R., Hopkins, M. S., & Kruschwitz, N. (2011). Big data, analytics and the path from insights to value. MIT sloan management review, 52(2), 21-32.
Lazer, W. (1963). Life style concepts and marketing. In S. A. Greyser. (Ed.), Toward Scientific Marketing (pp. 130-139). Chicago, IL: American Marketing Association.
Lee, S. W., Sung, H. J., & Jeon, H. M. (2019). Determinants of continuous intention on food delivery apps: extending UTAUT2 with information quality. Sustainability, 11(11), 31-41.
Lin, F.Y. (2003). An analysis of hospitality consumer lifestyles in the United States. (Unpublished doctoral dissertation). Texas Tech University, Lubbock, TX.
Mitchell, A. (1983). The Nine American Lifestyles. New York, NY: Warner.
Mitchell, V. W. (1994). How to identify psychographic segment. Marketing Intelligence & Planning, 12(7), 4-10.
Plummer, J.T. (1974). The concept and application of life style segmentation. Journal of Marketing, 38(1), 33-37.
Puriwat, W., & Tripopsakul, S. (2021). Understanding food delivery mobile application technology adoption: a UTAUT model integrating perceived fear of COVID-19. Emerging Science Journal, 5, 94-104.
Rokeach, M. (1973). The Nature of Human Values. New York, NY: The Free Press.
Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6, 144-176.
Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: Toward a conceptual model of utilization. MIS quarterly, 15(1), 125-143.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157-178.
Veroff, J., Douvan, E., & Kulka, R.A. (1981). The Inner America. New York, NY: Basic Books.
Walters, G. D. (2006). Lifestyle theory: Past, present, and future. Commack, NY: Nova Science Publishers.
Wells, W. D. & Tigert, D. J. (1971). Activities, interests and opinions. Journal of Advertising Research, 11(4), 27-35.
Yang, S. (2013). Understanding undergraduate students' adoption of mobile learning model: A perspective of the extended UTAUT2. Journal of Convergence Information Technology, 8(10), 969-979.
Yu, C. S. (2011). Construction and validation of an e-lifestyle instrument. Internet Research, 21(3), 214-235.
Yu, C. S. (2015). Using e-lifestyle to analyze mobile banking adopters and non-adopters. Journal of Global Information Technology Management, 18(3), 188-213.
Yuan, S., Ma, W., Kanthawala, S., & Peng, W. (2015). Keep using my health apps: Discover users' perception of health and fitness apps with the UTAUT2 model. Telemedicine and e-Health, 21(9), 735-741.
Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 26(4), 760-767.