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研究生: 蔡易霖
Tsai, Yi-Lin
論文名稱: 乘客於機艙內使用行動裝置之研究:解構式計畫行為理論之應用
A Study of Passengers’ Behavioral Intention toward In-flight PED Usage: Application of the DTPB
指導教授: 陳美燕
Chen, Mei-Yen
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: 2017
畢業學年度: 105
語文別: 中文
論文頁數: 109
中文關鍵詞: 態度主觀規範知覺行為控制客艙服務民用航空法
英文關鍵詞: attitude, subjective norms, perceived behavioural control, inflight service, civil aviation law
DOI URL: https://doi.org/10.6345/NTNU202203497
論文種類: 學術論文
相關次數: 點閱:219下載:53
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  • 本研究以解構式計畫行為理論為基礎,旨在探討乘客於機艙內使用自攜行動裝置之現況與行為意圖,並進一步探討影響行為意圖之因素及各變項間的關係,以桃園國際機場及松山機場之臺籍旅客為研究對象,採立意抽樣方式進行問卷調查,先透過預試建構本研究量表之信效度,正式施測獲得有效樣本共546份,透過SPSS 22.0軟體,以描述性統計、獨立樣本t檢定、單因子變異數分析、皮爾森積差相關分析以及一般多元迴歸進行資料處理與分析。本研究所得結果如下:一、不同搭機頻率之旅客在態度、主觀規範、知覺行為控制及行為意圖上皆有顯著差異;不同搭機目與搭乘航線之旅客在知覺行為控制上有顯著差異。二、知覺有用性、知覺易用性、相容性對態度皆有正向顯著影響,以知覺有用性最具影響力,三者對態度有顯著的預測能力。三、同儕影響、上級影響對主觀規範皆有正向顯著影響,同儕影響具有較高的影響力,兩者對主觀規範有顯著的預測能力。四、自我效能、助益條件對知覺行為控制皆有正向顯著之影響,自我效能的影響力高於助益條件,兩者對知覺行為控制有顯著的預測能力。五、態度、主觀規範、知覺行為控制對行為意圖皆有正向顯著影響,以態度的影響力最強,三者對行為意圖有顯著的預測能力。基於前述發現,本研究建議航空業者應以目標市場和營運模式作為定位依據,進而針對現有及未來機隊之軟硬體設備,評估其提供之機內娛樂服務功能是否符合目標市場乘客之使用需求、能否達到成本效益,甚至進一步產生額外收入。此外,建議未來研究可針對不同艙等、航點航線、飛航時間、航空公司經營模式、現有機隊與未來採購機種進行探討,在研究方法上則建議可透過結構方程式模型探討解構前置信念是否透過態度、主觀規範及知覺行為控制對行為意圖產生影響,而研究變項則建議將實際行為納入探討,也可將新興機內科技產品服務之娛樂性、科技創新性,以及消費者對航空公司的信任傾向等變項納入探討。

    The purpose of this study was to investigate the factors that influence passengers’ intention of using the Personal Electronic Devices during their flight based on the decomposed Theory of Planned Behavior (DTPB) model. A self-administrated questionnaire had been developed and samples were collected through a convenient sampling method at Taoyuan International Airport and Songshang Airport. 546 valid questionnaires were collected and analyzed based on descriptive statistical analysis, t-test, one-way ANOVA, correlation analysis, and multiple linear regression analysis using SPSS 22.0 software. The research results showed that the passengers with different flight frequency have significant differences on attitude, subjective norms, perceived behavior control and behavioral intention. The passengers with different trip purpose and on different route have significant differences on perceived behavior control. The results of the DTPB model revealed that, first, the paths from perceived usefulness, ease of use and compatibility to attitude are significant, and three antecedents were significant indicators for attitude. Second, the paths from both peer influence and superior influence to subjective norms are significant, and both were significant indicators for subjective norms. Third, the paths from self efficacy and facilitating conditions to perceived behavioural control are significant, and both were significant indicators for perceived behavioural control. Last but not least, the paths from attitude, subjective norms and perceived behavioural control to behavioural intention are significant, and three variables were significant indicators for behavioural intention. In conclusion, the practical implications for carrier and theoretical suggestions for future research are discussed based on the results of the study.

    口試委員與所長簽字論文通過簽名表 i 論文授權書 ii 中文摘要 iii 英文摘要 iv 謝誌 v 目次 vi 表次 viii 圖次 xi 第壹章 緒論 1 第一節 研究背景與動機 1 第二節 研究目的 3 第三節 研究問題 4 第四節 研究重要性 4 第五節 名詞釋義 5 第貳章 文獻探討 8 第一節 機艙使用行動裝置之研究 8 第二節 解構式計畫行為理論之意涵 15 第三節 應用解構式計畫行為理論之相關研究 26 第四節 本章總結 38 第參章 研究方法 39 第一節 研究架構 39 第二節 研究流程 40 第三節 研究範圍與對象 41 第四節 抽樣方法 41 第五節 研究工具 42 第六節 資料處理與分析 57 第肆章 結果與討論 58 第一節 搭機乘客特性及在機艙內使用行動裝置之現況分析 58 第二節 不同背景變項之乘客在態度、主觀規範、知覺行為控制與行為意圖上之差異分析 66 第三節 搭機乘客態度、主觀規範、知覺行為控制信念之相關與預測分析 72 第四節 搭機乘客行為意圖之相關與預測分析 80 第伍章 結論與建議 83 第一節 結論 83 第二節 建議 86 引用文獻 91 附錄 104 附錄一 預試問卷 104 附錄二 正式問卷 107

    王明杰、孫思源 (2013)。影響餐飲業使用無線點餐系統之因素-結合計畫行為理論以及知覺風險理論。商業現代化學刊,7(1),277-306。
    王維忠、范國光 (2012)。行動裝置嵌入式應用軟體市場競爭分析。文化創意產業研究學報,2(3),295-312。
    王穎駿、范琦金 (2015)。企業形象、知覺風險與旅客搭機行為意向關係研究-以低成本航空為例。航空安全及管理季刊,2(3),276-309。
    王韻、林玉涵、林郁玲 (2015)。大學生購買名牌仿冒品之意圖-以計畫行為理論。紡織綜合研究期刊,25(1),49-61。
    方慧諒、陳慧秋、李宏安、陳龍吉 (2015)。以科技接受模式探討影響國中生購買智慧型手機因素之研究-以台中市為例。管理資訊計算,4(1),294-306。
    方顯光、陳振聲 (2014)。臺灣國際航空產業服務品質管理之研究。全球管理與經濟,10(2),19-37。
    中華航空 (2017)。Wi-Fi Onboard加購。取自https://calde.china-airlines.com/Flywifi/ Agreement.aspx? lang=zh-TW&country=tw&locale=zh
    交通部民用航空局 (2015a)。交通部民用航空局標準三字第1045011510號公告。取自http://motclaw.motc.gov.tw/s.aspx?soid=4987
    交通部民用航空局 (2015b)。民用航空法。取自http://www.caa.gov.tw/APFile/big5/download/pliad/1424133119440.pdf
    交通部民用航空局 (2016a)。民航運輸各機場營運量—按機場分。取自http://www.caa.gov.tw/APFile/big5/download/o/ a1461634254397.pdf
    交通部民用航空局 (2016b)。民航運輸各機場營運量—按國際、兩岸及國內航線分。取自http://www.caa.gov.tw/APFile/big5/ download/ao/1461634462059.pdf
    交通部民用航空局 (2016c)。臺閩地區國內航線班機載客率及市場占有率—按航線分。取自http://www.caa.gov.tw/APFile/big5 /download/ ao/1452670101314.pdf
    池文海、林憬、王智永、張明暐 (2011)。使用者採用GPS科技產品行為意圖之研究。創新與管理,4(2),29-60。
    何昶鴛、陳窈鈴、黃有傑 (2013)。影響旅行社員工使用Galileo旅館訂房系統之因素探討: 分解式計劃行為理論之應用。運動休閒餐旅研究,8(4),1-26。
    宋曉玫 (2012)。以科技接受模式探討中高齡者使用網路及時通訊軟體之意圖與行為 (未出版碩士論文)。國立臺灣師範大學,臺北市。
    李正文、張虹鈺 (2013)。以計畫行為理論探究重複訊息對消費者回收行為之影響。先進工程學刊,8(2),85-94。
    李兆益 (2015)。臺灣地區智慧行動裝置產業的現況與未來發展-以宏達電、三星、蘋果為例。Journal of Data Analysis,10(1),51-88。
    李慶長、張銀益、黃柏翔 (2015)。以計畫行為理論探討穿戴型裝置的使用意圖-以Google 眼鏡為例。Electronic Commerce Studies,13(3),315-334。
    吳玫瑩、江珮姍 (2014)。以分解式計劃行為理論探討臺灣民眾對數位電視的使用意圖。數據分析,9(1),147-168。
    吳明隆、涂金堂 (2014)。SPSS與統計應用分析。臺北市:五南。
    吳錫惠、吳賜聲 (2012)。運用科技接受模式探討使用者在行動通訊上網之影響因素-以智慧型手機為例。萬能商學學報,17,81-102。
    邱皓政 (2010)。量化研究與統計分析:SPSS/PASW資料分析範例解析。臺北市:五南。
    邱雅資、馮筱芸、歐峻瑜、曹昕筠 (2015)。行動裝置之社群遊戲使用程度與人際關係影響研究-以臺藝大學生為例。圖文傳播藝術學報,361-372。
    林芳珍、趙正敏 (2015)。消費者採用行動商務之科技特徵:TPB與TAM之延伸研究。運動休閒管理學報,12(4),1-17。
    林保源、紀盈綺、林楚莛、張書華、彭曉姿 (2013)。智慧型手機對全國大專院校學生休閒行為影響之研究。休閒運動保健學報,4,17-33。
    林惠玲、陳正倉 (2009)。應用統計學。臺北市:雙葉書廊。
    長榮航空 (2017)。客艙娛樂與服務。取自http://www.evaair.com/zh-tw/flying-with-eva/ inflight-entertainment-service/staying-connected-in-seat-power/
    周君倚、陸洛 (2014)。以科技接受模式探討數位學習系統使用態度—以成長需求為調節變項。Information Management,21(1),83-106。
    周榮昌、劉祐興、王唯全 (2007)。國際航線低價航空公司及一般航空公司選擇行為之研究—以臺北—新加坡航線為例。運輸計劃季刊,36(3),307-331。
    周榮昌、郭仲偉、廖崇堯 (2012)。兩岸直航航空旅運選擇行為之研究:以臺北—上海航線為例。運輸學刊,24(2),135-166。
    徐茂洲、葉明如、林益弘 (2013)。旅遊行為意圖模型選擇與比較。休閒產業管理學刊,6(2),23-46。
    孫秉瑄、朱麗芬、陳冠宇 (2015)。防止智慧型行動裝置之 APP 應用程式遭盜版之研究與實作。資訊安全通訊,21(1),21-32。
    張志銘、陳南琦、林忠政 (2012)。結合科技接受模式與計畫行為理論探討參與Wii運動型遊戲之行為意圖。運動與遊憩研究,7(1),53-67。
    張添香、楊惠理、曾依舲、呂珈蕙、黃敏涵 (2013)。探討消費者使用網路團購網站之因素—以信任傾向為干擾變數。以口頭形式發表於2013第七屆資訊科技國際研討會,臺中市:臺灣。全文引自 http://www.inf.cyut.edu.tw/AIT2013/ft_167.pdf
    陳品妏 (2012)。探討行動應用程式之使用意向影響因素-分解計劃行為理論觀點 (未出版碩士論文)。國立中央大學,桃園市。
    陳淑娟、郭仕堯 (2010)。亞洲航線服務品質之跨文化觀點研究。服務業管理評論,8,54-70。
    陳靜怡、曾治乾、葉國樑、黃禎貞、李映秋 (2014)。嘉義縣市大學生智慧型手機成癮及其相關因素研究。健康促進暨衛生教育雜誌,37,47-49。
    許家謙、凌家如、林清同 (2016)。高齡者參與槌球運動行為模式之探討:計畫行為理論之應用。戶外遊憩研究,29(1),79-111。
    許聰鑫、王熙哲、王國明、林惟秋 (2016)。銀髮族與前銀髮族國外旅遊行為意圖之影響關係探討-三種行為模式的實證比較。觀光休閒學報,22(1),95-122。
    國家發展委員會 (2015a)。104 年持有手機民眾數位機會調查報告。取自http://www.ndc.gov.tw/News_Content.aspx?n=114AAE178CD95D4C&s=D1F0936A870F828C
    國家發展委員會 (2015b)。104 年個人家戶數位機會調查調查報告。取自http://www.ndc.gov.tw/cp.aspx?n=55C8164714DFD9E9

    黃日鉦、林承賢 (2013)。以計畫行為理論探討縮短數位落差之持續使用行為。International Journal,5(1),057-078。
    黃雲龍、葉允棋、歐展嘉 (2012)。Web2.0新興教學科技的使用行為研究與滿意度之研究。休閒研究,4(2),45-68。
    黃敬婷 (2015)。以解構式計畫行為理論探討大學生使用Web2.0平台於網路學習行為之研究 (碩士論文)。取自臺灣博碩士論文知識加值系統 http://ndltd.ncl.edu.tw/cgi-bin /gs32/gsweb.cgi/ccd=snJ.o2/record?r1=1&h1=0
    葉美春 (2007)。使用者採用知識管理系統之影響因素研究-理論模型的比較取向。圖書資訊學刊,5(1/2),69-90。
    鄭如珍 (2015)。探討臺灣Facebook使用者持續使用意圖-以延伸計畫行為理論為基礎。 萬能商學學報,20(2015),75-86。
    鄭青展、蔡明春、張雅媛 (2010)。臺灣互動電視潛在消費者行爲意向模式。臺北海洋技術學院學報,3(2),24-53。
    蔡忠佑 (2009)。家長對孩童網路分級過濾系統使用意向之研究 (未出版碩士論文)。國立成功大學,臺南市。
    蔡長清、洪翠蘭 (2009)。搭機屬性、服務品質與忠誠度之相關研究-以高雄飛航港澳旅客爲例。商業現代化學刊,5(2),169-188。
    蔡顯童、賴子珍、邱雅鈴 (2011)。從多元觀點探討使用者對於電子書閱讀器的採用行。 電子商務學報,13(4),841-871。
    鍾政偉、曾宗德、劉嘉麒 (2015)。建構延伸計畫行為理論模型探討遊客參觀觀光工廠之決策行為。Journal of Data Analysis,10(3),1-22。
    戴友榆、王慶堂、高紹源、李明儒 (2012)。計畫行為理論應用於水域遊憩活動行為之探討-以澎湖為例。管理實務與理論研究,6(1),33-58。
    顏世冠、徐茂洲、潘豐泉 (2012)。以計畫行為理論驗證墾丁地區水域運動觀光客行為意圖之研究。International Journal of Lisrel,5(2),1-32。
    魏翠珍 (2007)。以解構計畫行為理論分析3G手機購買意圖之研究 (未出版碩士論文)。開南大學,桃園市。
    蘇文彬 (2015,7月20日)。資策會調查:國內行動裝置用戶已超過1600萬作者。IThome。取自http://www.ithome.com.tw/news/97479
    Ajjan, H., & Hartshorne, R. (2008). Investigating faculty decisions to adopt Web 2.0 technologies: Theory and empirical tests. The internet and higher education, 11(2), 71-80.
    Ajzen, I. (1985). From intention to actions: a study of planned behavior. In J. Kuhl, & J. Beckmann (Eds.), Action-control: from cognition to behavior (pp. 11-39). Berlin, DE: Springer Berlin Heidelberg.
    Ajzen, I. (1989). Attitude structure and behavior. In A. R. Pratkanis, S. J. Breckler, & A. G. Greenwald (Eds), Attitude Structure and Function (pp. 241-274). Hillsdale, NJ: Lawrence Erlbaum Associates.
    Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179-211.
    Ajzen, I. (2005). Attitudes, personality, and behavior (2nd ed.). New York, NY: McGraw-Hill Education.
    Ajzen, I., & Driver, B. E. (1992). Application of the theory of planned behavior to leisure choice. Journal of Leisure Research, 24(3), 207-224.
    Ajzen, I. (2011). The theory of planned behaviour: reactions and reflections. Psychology & health, 26(9), 1113-1127.
    Ajzen, I. (2012). The theory of planned behavior. In P. A. M. Lange, A. W. Kruglanski, & E. T. Higgins (Eds.), Handbook of theories of social psychology (Vol. 1, pp. 438-459). London, UK: Sage.
    Ajzen, I., & Madden, T. J. (1986). Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control. Journal of Experimental Social Psychology, 22(5), 453-474.
    Ajzen, I., & Manstead, A. S. R. (2007). Changing health-related behaviors: an approach based on the theory of planned behavior. In K. van den Bos, M. Hewstone, J. de Wit, H. Schut, & M. Stroebe (Eds.), The scope of social psychology: Theory and applications (pp. 43-63). New York, NY: Psychology Press.
    Al-Ajam, A., & Nor, K. M. (2013). Evaluation of internet banking service adoption among Yemeni customers. Kuwait Chapter of the Arabian Journal of Business and Management Review, 2(6), 39.
    Al-Ghaith, W. A. (2016). Applying decomposed theory of planned behaviour towards a comprehensive understanding of social network usage in Saudi Arabia. International Journal of Information Technology and Computer Science, 8(5), 52.

    Al Maskari, A. (2015). Theory of planned behavior (TPB) Ajzen (1988). In M. N. Al-Suqri (Ed), Information seeking behavior and technology adoption: theories and trends (pp. 237-259). Hershey, PA: IGI Global.
    Al-Majali, M. M., & Mat, N. N. (2010). Applications of planned behavior theory on internet banking services adoption in Jordan: structural equation modeling approach. China-USA Business Review, 9(12), 1-12.
    Ahmed, E., & Ward, R. (2016a). A comparison of competing technology acceptance models to explore personal, academic and professional portfolio acceptance behaviour. Journal of Computers in Education, 2(3), 169-191.
    Ahmed, E., & Ward, R. (2016b). Analysis of factors influencing acceptance of personal, academic and professional development e-portfolios. Computers in Human Behavior, 63, 152-161.
    APEX (2013, May 9). APEX/CEA study reveals importance, use of devices in-flight. APEX News & Press: Press Releases. Retrieved from http://connect.apex.aero/news/235288/ APEXCEA-study-reveals-importance-use-of-devices-in-flight.htm
    Baird, F. (2016, January 14). The 2016 global state of in-flight wi-fi isn’t all about wi-fi. APEX. Retrieved from http://apex.aero/2016/01/14/global-state-inflight-wifi
    Baker, R. K., & White, K. M. (2010). Predicting adolescents’ use of social networking sites from an extended theory of planned behaviour perspective. Computers in Human Behavior, 26(6), 1591-1597.
    Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall.
    Bandura, A. (1997). Self-efficacy: The exercise of control. New York, NY: Freeman.
    Baskas, H. (2012, September 27). The future of in-flight entertainment. USA TODAY. Retrieved from https://www.usatoday.com/story/travel/flights/2012/09/26/in-flight- entertainment/1594731/
    Bigné, E., Sanz, S., Ruiz, C., & Aldás, J. (2010). Why some Internet users don’t buy air tickets online. Information and Communication Technologies in Tourism 2010, 209-221.
    Burnkrant, R. E., & Page, T. J. (1988). The structure and antecedents of the normative and attitudinal components of Fishbein's theory of reasoned action. Journal of Experimental Social Psychology, 24(1), 66-87.
    Chang, I. C., Chou, P. C., Yeh, R. K. J., & Tseng, H. T. (2016). Factors influencing Chinese tourists’ intentions to use the Taiwan medical travel app. Telematics and Informatics, 33(2), 401-409.
    Chang, Y. C. (2012). Cabin safety behavioral intentions of passengers with reduced mobility. Journal of Air Transport Management, 25, 64-66.
    Chang, Y. H., & Liao, M. Y. (2008). Air passenger perceptions on exit row seating and flight safety education. Safety Science, 46(10), 1459-1468.
    Chang, Y. H., & Liao, M. Y. (2009). The effect of aviation safety education on passenger cabin safety awareness. Safety science, 47(10), 1337-1345.
    Chang, Y. H., & Liao, M. Y. (2010). Airline passengers’ awareness of and preferred source of cabin safety information. Asia Pacific Management Review, 15(4), 533-547.
    Castillo-Manzano, J. I., & López-Valpuesta, L. (2013). Check-in services and passenger behaviour: Self service technologies in airport systems. Computers in Human Behavior, 29(6), 2431-2437.
    Chen, C. D., Fan, Y. W., & Farn, C. K. (2007). Predicting electronic toll collection service adoption: An integration of the technology acceptance model and the theory of planned behavior. Transportation Research Part C: Emerging Technologies, 15(5), 300-311.
    Chen, F. C. Y. (2007). Passenger use intentions for electronic tickets on international flights. Journal of Air Transport Management, 13(2), 110-115.
    Chen, F. Y. (2013). The intention and determining factors for airline passengers' participation in carbon offset schemes. Journal of Air Transport Management, 29, 17-22.
    Chen, S. C., & Li, S. H. (2010). Consumer adoption of e-service: Integrating technology readiness with the theory of planned behavior. African Journal of Business Management, 4(16), 3556-3563.
    Cheng, S., & Cho, V. (2011). An integrated model of employees’ behavioral intention toward innovative information and communication technologies in travel agencies. Journal of Hospitality and Tourism Research, 35 (4), 488-510.
    Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 13(3), 319-340.
    Del Chiappa, G., Martin, J. C., & Roman, C. (2016). Service quality of airports' food and beverage retailers. A fuzzy approach. Journal of Air Transport Management, 53, 105-113.
    Fishbein, M., & Ajzen, I. (1975). belief, attitude, intention, and behavior: an introduction to theory and research. Reading, MA: Addison-Wesley.
    Fisher, J. D., & Fisher, W. A. (1992). Changing AIDS-risk behavior. Psychological Bulletin, 111(3), 455-474.
    Gaffar, K., Singh, L., & Thomas, T. (2012). Are we ready for Web 2.0? Evidence from a Caribbean University. The Caribbean Teaching Scholar, 1(2), 129-146.
    Garcia, M. (2016a, October 10). Airlines target personalization with IFE content recommendations. APEX. Retrieved from http://apex.aero/2016/10/10/airlines-target- personalization-ife-content-recommendations
    Garcia, M. (2016b, July 5). Budget-friendly entertainment part four: In the works. APEX. Retrieved from http://apex.aero/2016/07/05/budget-friendly-entertainment-part-four- works
    Hartshorne, R., & Ajjan, H. (2009). Examining student decisions to adopt Web 2.0 technologies: theory and empirical tests. Journal of Computing in Higher Education, 21(3), 183-198.
    Hoffer, J. A., & Alexander, M. B. (1992). The diffusion of database machines. ACM SIGMIS Database, 23(2), 13-19.
    Hopkins, N., Tate, M., Sylvester, A., & Johnstone, D. (2016). Motivations for 21st century school children to bring their own device to school. Information Systems Frontiers, 1-13.
    Hsieh, Y. F., Lee, Y. C., & Lin, S. B. (2016). Rebuilding DEMATEL threshold value: an example of a food and beverage information system. SpringerPlus, 5(1), 1385.
    Huh, H. J., Kim, T. T., & Law, R. (2009). A comparison of competing theoretical models for understanding acceptance behavior of information systems in upscale hotels. International Journal of Hospitality Management, 28(1), 121-134.
    Humaidi, N., & Balakrishnan, V. (2013). Exploratory factor analysis of user’s compliance behaviour towards health information system’s security. Journal of Health & Medical Informatics, 2013, 4(2).
    IATA (2012). 2012 IATA Global passenger survey. Retrieved from http://www.iata.org/ publications/Documents/2012-iata-global-passenger-survey- highlights.pdf
    IATA (2013). 2013 IATA Global passenger survey. Retrieved from http://www.iata.org/ publications/Documents/ global-passenger-survey-2013-highlights. pdf
    IATA (2014a). Guidance on the Expanded Use of Passenger Portable Electronic Devices (PEDs). Retrieved from https://www. iata. org/ publications/Documents/guidance- use-expansion-peds.pdf
    IATA (2014b). 2014 IATA Global passenger survey. Retrieved from http://www.iata.org/publications/Documents/2014%20IATA%20Global%20Passenger%20Survey%20Highlights.pdf
    IATA (2015a). 2015 IATA Global passenger survey. Retrieved from http://www.iata.org/whatwedo/passenger/gps/Documents/Highlights202015-Global-Passenger-Survey-Final.pdf
    IATA (2015b). Streaming content could be Qatar Airways next move. Retrieved from http://airlines.iata.org/agenda/streaming -content-could-be-qatar-airways-next-move
    IATA (2016a). Passengers want more, but more of what? Retrieved from http://airlines.iata.org/ analysis/passengers-want-more- but-more-of-what
    IATA (2016b). 2016 Global Passenger Survey. Retrieved from http://www.iata.org/publications/store/Documents/GPS-2016- Highlights-Final.pdf
    ICAO (2014). Unaccompanied Minors: An Emerging Issue. Retrieved from http://www.icao.int/ESAF/Documents/meetings/2014/FAL-FEB/Day%203%20-%20Unaccompanied%20Minors%20(ICAO).pdf
    Inmarsat (2016). Global demand for in-flight broadband hits new heights amongst airline passengers. Retrieved from http://www.inmarsat.com/press-release/global-demand-for- in-flight-broadband-hits-new-heights-amongst-airline-passengers
    Kautonen, T., Van Gelderen, M., & Tornikoski, E. T. (2013). Predicting entrepreneurial behaviour: a test of the theory of planned behaviour. Applied Economics, 45(6), 697-707.
    Kim, H. B., Kim, T., & Shin, S. W. (2009). Modeling roles of subjective normss and eTrust in customers' acceptance of airline B2C eCommerce websites. Tourism Management, 30(2), 266-277.
    Knabe, A. (2012). Applying Ajzen's theory of planned behavior to a study of online course adoption in public relations education. (Doctoral thesis, Marquette University, Wisconsin, United States). Retrived from http://epublications. marquette.edu/cgi/ viewcontent.cgi?article=1186&context=dissertations_mu
    Lai, H. J. (2016). Examining civil servants’ decisions to use Web 2.0 tools for learning, based on the decomposed theory of planned behavior. Interactive Learning Environments, 2016, 1-11.
    Lee, M. C. (2009). Factors influencing the adoption of internet banking: an integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications, 8(3), 130-141.
    Lee, S., Park, E., Kwon, S. J., & del Pobil, A. P. (2015). Antecedents of behavioral intention to use mobile telecommunication services: effects of corporate social responsibility and technology acceptance. Sustainability, 7(8), 11345-11359.

    Lee, W. J., & Choi, H. S. (2009). Understanding meeting planners' internet use behavior: An extension to the theory of planned behavior. International Journalof Hospitality and Tourism Administration, 10(2), 109-128.
    Leng, G. S., Lada, S., Muhammad, M. Z., Ibrahim, A. A. H. A., & Amboala, T. (2011). An exploration of social networking sites (SNS) adoption in Malaysia using technology acceptance model (TAM), theory of planned behavior (TPB) and intrinsic motivation. Journal of Internet Banking and Commerce, 16(2), 1-27.
    Leyland, S. D., Van Wersch, A, & Woodhouse, D. (2013). Testing an extended theory of planned behavior to predict intention to participate in health-related exercise during long-distance flight travel. International Journal of Sport and Exercise Psychology, 12(2014), 34-48.
    Lin, J. S. C., & Hsieh, P. L. (2011). Assessing the self-service technology encounters: development and validation of SSTQUAL scale. Journal of Retailing, 87(2), 194-206.
    Locke, E., & Latham, G. (1994). Goal-setting theory. In H. F. O'Neil, & M. Drillings (Eds.), Motivation: Theory and research (pp. 13-30). New York, NY: Routledge.
    Lu, J. L., & Lai, W. T. (2014). Business air travelers willingness to pay for in-flight wireless internet service: an exploratory study. International Journal of Information and Management Sciences, 25(1), 67-77.
    Lu, J. L., Chou, H. Y., & Ling, P. C. (2009). Investigating passengers’ intentions to use technology-based self check-in services. Transportation Research Part E: Logistics and Transportation Review, 45(2), 345-356.
    Lu, J., Yao, J. E., & Yu, C. S. (2005). Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology. The Journal of Strategic Information Systems, 14(3), 245-268.
    Lu, Y., Zhou, T., & Wang, B. (2009). Exploring Chinese users’ acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory. Computers in Human Behavior, 25(1), 29-39.
    Mace, C. (2009). Psychosocial determinants of using online social networks: An application of the theory of planned behavior. (Doctoral thesis, Indiana University, Bloomington, Indiana, United States). Retrived from https://scholarworks.iu.edu/dspace/bitstream /handle/2022/6678/Thesis_Casey_Mace.pdf?sequence=1
    Martin, J. C., Roman, C., & Espino, R. (2011). Evaluating frequent flyer programs from the air passengers' perspective. Journal of Air Transport Management, 17(6), 364-368.
    Mathieson, K., Peacock, E., & Chin, W. W. (2001). Extending the technology acceptance model: the influence of perceived user resources. ACM SigMIS Database, 32(3), 86-112.
    May, K. (2012, September 3). What do we want? On-board internet! When do we want it? NOW! Tnooz. Retrieved from https://www.tnooz.com/article/what-do-we-want-on- board- internet-when-do-we-want-it-now/
    May, K. (2016, February 4). Airline passengers on wifi, in-flight entertainment and on-board activities. Tnooz. Retrieved from https://www.tnooz.com/article/airline-passengers- on-wifi- in-flight-entertainment-and-on-board-activities/
    Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192-222.
    Nasri, W., & Charfeddine, L. (2012). Factors affecting the adoption of Internet banking in Tunisia: An integration theory of acceptance model and theory of planned behavior. The Journal of High Technology Management Research, 23(1), 1-14.
    Nishimura, J. S., & Tristán, O. M. (2011). Using the theory of planned behavior to predict nascent entrepreneurship. Academia Revista Latinoamericana de Administración, 46, 55-71.
    Oliver, R. L., & Bearden, W. O. (1985). Crossover effects in the theory of reasoned action: A moderating influence attempt. Journal of Consumer Research, 12(3), 324-340.
    Ong, W. L., & Tan, A. K. (2010). A note on the determinants of airline choice: the case of Air Asia and Malaysia Airlines. Journal of Air Transport Management, 16(4), 209-212.
    Pakdil, F., & Aydın, Ö. (2007). Expectations and perceptions in airline services: An analysis using weighted SERVQUAL scores. Journal of Air Transport Management, 13(4), 229-237.
    Pavlou, P. A., & Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS quarterly, 30(1), 115-143.
    Quintal, V. A., Lee, J. A., & Soutar, G. N. (2010). Risk, uncertainty and the theory of planned behavior: A tourism example. Tourism Management, 31(6), 797-805.
    Rogers, E. M. (1983). Diffusion of innovations. New York, NY: Free Press.
    Rosenstock, I. M., Strecher, V. J., & Becker, M. H. (1994). The health belief model and HIV risk behavior change. In R. J. DiClemente, & J. L. Peterson (Eds.), Preventing AIDS: Theories and methods of behavioral interventions (pp. 5-24). New York, NY: Springer.
    Sadaf, A., Newby, T. J., & Ertmer, P. A. (2012). Exploring factors that predict preservice teachers’ intentions to use Web 2.0 technologies using decomposed theory of planned behavior. Journal of Research on Technology in Education, 45(2), 171-196.
    Sadaf, A., Newby, T. J., & Ertmer, P. A. (2016). An investigation of the factors that influence preservice teachers’ intentions and integration of Web 2.0 tools. Educational Technology Research and Development, 64(1), 37-64.
    Schawalder, J. (2014). The future of inflight entertainment in europe, according to passenger expectations: Why airlines should embrace consumer technology. Hamburg, DE: Anchor Academic Publishing.
    Seelhorst, M., & Liu, Y. (2015). Latent air travel preferences: Understanding the role of frequent flyer programs on itinerary choice. Transportation Research Part A: Policy and Practice, 80, 49-61.
    Sentosa, I., & Mat, N. K. N. (2012). Examining a theory of planned behavior (TPB) and technology acceptance model (TAM) in internetpurchasing using structural equation modeling. International Refereed Research Journal, 3(2), 62-77.
    Shimp, T. A., & Kavas, A. (1984). The theory of reasoned action applied to coupon usage. Journal of Consumer Research, 11(3), 795-809.
    Shiau, W. L., & Chau, P. Y. (2016). Understanding behavioral intention to use a cloud computing classroom: A multiple model comparison approach. Information & Management, 53(3), 355-365.
    Skift, B. S. (2016, November 2). Passengers want more technology and control along their journey. Skift. Retrieved from https://skift.com/2016/11/02/passengers-want-more- technology-and-control-along-their-journey/
    Smith, J. R., Terry, D. J., Manstead, A. S., Louis, W. R., Kotterman, D., & Wolfs, J. (2007). Interaction effects in the Theory of Planned Behavior: the interplay of self‐identity and past behavior. Journal of Applied Social Psychology, 37(11), 2726-2750.
    Szajna, B. (1996). Empirical evaluation of the revised technology acceptance model. Management Science, 42(1), 85-92.
    Taylor, S., & Todd, P. A. (1995). Understanding information technology usage a test of competing models. Information Systems Research, 6(2), 144-176.
    Tornatzky, L. G., & Klein, K. J. (1982). Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings. IEEE Transactions on Engineering Management, 1, 28-45.
    Triandis, H. C. (1979). Values, attitudes, and interpersonal behavior. Nebraska Symposium on Motivation, 27, 195-259.

    Truong, Y. (2009). An evaluation of the theory of planned behaviour in consumer acceptance of online video and television services. Electronic Journal of Information Systems Evaluation, 12(2), 177-186.
    Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451-481.
    Wang, S. W., & Hsu, M. K. (2016). Airline co-branded credit cards: an application of the theory of planned behavior. Journal of Air Transport Management, 55, 245-254.
    Yang, C. W., Lu, J. L., & Hsu, C. Y. (2014). Modeling joint airport and route choice behavior for international and metropolitan airports. Journal of Air Transport Management, 39, 89-95.
    Yeh, Y. M., & Lee, H. S. (2014). The choice and comparison of behavior intention model for university students participating in the tourism water sports in Green Island. 體育運動與Amos統計應用期刊, 3(1), 30-43.
    Yousafzai, S. Y., Foxall, G. R., & Pallister, J. G. (2010). Explaining internet banking behavior: theory of reasoned action, theory of planned behavior, or technology acceptance model? Journal of Applied Social Psychology, 40(5), 1172-1202.

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