Translated Titles

A study of consumers’ APP behaviors on night market





Key Words

適地性服務 ; APP ; 持續使用意願 ; Location Base Service(LBS) ; APPlications(APP) ; Continuance Intention



Volume or Term/Year and Month of Publication


Academic Degree Category




Content Language


Chinese Abstract

由於行動電話的便攜性、普及性及行動電話的定位技術提升,行銷者得以無時無刻與消費者互動,在消費者有需求時,提供符合消費者本身特定需求的選項,使得行銷的效率大幅的提升;讓網路社群成為增加商家曝光度的新管道,加上行動應用程式(App)的廣受歡迎,多樣化的創新行動應用服務已是發展行動商務的重要目標。本研究有感受到行動商務的崛起,以及體認行動適地性服務在未來的發展性,以美食App作為研究探討。主要是目前社群網絡平台的研究尚缺少美食App的適地性研究。本研究為衡量探討台灣北部美食消費者對美食推薦的滿意度及美食App的持續使用意願之相關性,針對消費者對於美食App的使用性(娛樂性、社交性、工具性) 、庶民美食的使用經驗(實際環境)及美食App持續使用意願之相關性。 本研究採用便利抽樣法,共計回收314份有效問卷,回收後之資料,以統計套裝軟體作為資料分析之工具,選定合適之統計分析方法以利相關資料分析與驗證,其中包括了信度分析、敘述性統計分析與單因子變異數分析(One-WayANOVA)等推論性統計分析。 本研究的結論摘要如下:一、受測者對美食App的娛樂性、工具性、社交性對夜市美食推薦的滿意度有相對關聯性。二、受測者對美食App的娛樂性、工具性滿意度高對對美食App的持續使用意願有高度關聯。三、受測者對夜市美市食推薦的滿意度跟對美食App的持續使用意願提高有高度相關。

English Abstract

The convenience, high availability, and improvement of GPS technology for mobile phones have enabled sellers to interact with consumers easily, and to provide consumers with alternatives fitting their certain need, which in turn increases the efficiency of sales activities. Social network has become a new channel for increasing sellers’ exposure. With wide popularity of mobile application (“app”), a great variety of innovative app services turn out to be an important objective for mobile commerce. Under this circumstance, in order to realize the future development of location-based service (“LBS”), this study aims to explore food and restaurant apps. Due to the lack of LBS research for food and restaurant apps in social network nowadays; this study examines the relation between satisfaction rating of food reviews and the usage of food and restaurant apps. The convenience sampling method is adopted, and a total of 314 valid questionnaires are collected. The collected data is analyzed under adequate analysis method to verify the correctness of collected information, such as the reliability-and-validity analysis, descriptive statistics analysis, and One-Way ANOVA. The results of this study are as follow: 1. The entertaining effect, instrumentality, and sociability of a food and restaurant app and satisfaction raiting of night market food reviews are related. 2. The entertaining effect, instrumentality, and sociability of a food and restaurant app and consumers’ continuance intention for a food and restaurant app are highly associated. 3. The satisfaction rating of night market food reviews and consumers’ continuance intention for a food and restaurant app are highly associated.

Topic Category 商管學院 > 企業管理學系碩士在職專班
社會科學 > 管理學
  1. 王嵩音。(2007)。網路使用之態度, 動機與影響。資訊社會研究, 12, 57-85。
  2. 李宜芳。(2009)。社群購物網站互動功能其望與滿意度之研究。國立台灣師範大學-圖文傳播學系碩士論文,台北市。
  3. 林家慶。(2014)。適地性服務對社交購物價值的影響-與社交虛擬產品經驗之比較。台北科技大學經營管理系碩士班,台北市。
  4. 黃國峰、林谷合。(2009)。LBS定位之商圈/展場創新服務研究計畫。財團法人資訊工業策進會委託之研究期末報告。(計畫編號:98-5028)。未出版。
  5. 詹月雲、黃勝雄。(2002)。觀光夜市發展之課題與對策探討-以高雄六和觀光夜市為例。土地用題研究季刊,1(4),62-78。
  6. 潘江東。(2004)。臺灣夜市文化探討。載於國立高雄餐旅學院林致信彙編,2004 關懷鄉土飲食文化紀錄研討會—夜市小吃論文集夜市飲食文化論文集(9-21)。國立高雄餐旅學院,高雄市。
  7. 鄭欽鴻。(2010)。消費者態度與信任對於接受適地性服務的行為傾向之影響─以台灣市場為例。國立中興大學企業管理學系碩士學校論文,台中市。
  8. Anderson, E. (1998). Customer dissatisfaction and word of mouth. Journal of Servic Research, 1(1),5-17
  9. Bansal, H. S., & Voyer, P. A. (2000). Word-of-mouth process within a service purchase decision context. Journal of Service Research, 3(2), 166–177
  10. Bhattacherjee, A. (2000). Acceptance of e-commerce services: the case of electronic brokerages. Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on, 30(4), 411-420.
  11. Bhattacherjee, A. (2001). Understanding information systems continuance: an expectation-confirmation model. MIS quarterly, 351-370.
  12. Brown, J. J., & Reingen, P. H. (1987). Social ties and word-of-mouth referral behavior. Journal of Consumer Research, 14(3), 350–362.
  13. Buttle, F. A. (1998). Word of mouth: Understanding and managing referral marketing. Journal of Strategic Marketing, 6(3), 241–254
  14. Chandon, J. L., Leo, P. Y., & Philippe, J. (1997). Service encounter dimensions-a dyadic perspective: Measuring the dimensions of service encounters as perceived by customers and personnel. International Journal of Service Industry Management, 8(1), 65-86.
  15. Chen, S. C. (2012). To use or not to use: Understanding the factors affecting continuance intention of mobile banking. International Journal of Mobile Communications, 10(5), 490-507.
  16. Chen, S. C., Yen, D. C., & Hwang, M. I. (2012). Factors influencing the continuance intention to the usage of Web 2.0: An empirical study. Computers in Human Behavior, 28(3), 933-941.
  17. DeLone, W.H. & McLean, E. R. (1992). Information Systems success: the quest for the dependent variable. Information Systems Research, Vol 3, no.1, pp.60-95.
  18. Dickinger, A., Haghirian, P., Murphy, J., & Scharl, A. (2004, January). An investigation and conceptual model of SMS marketing. In System Sciences, 2004. Proceedings of the 37th Annual Hawaii International Conference on (pp. 10-pp). IEEE.
  19. Hsieh, A. T.,& Chang, J. (2006). Shopping and tourist night markets in Taiwan.Tourism Management, 27(1), 138–145.
  20. Ibrahim, M. F., & Leng, S. K. (2003). Shoppers’ perceptions of retaildevelopments: Suburban shopping centres and night markets inSingapore. Journal of Retail and Leisure Property, 3(2), 176–189.
  21. Jayawardhena, C., Kuckertz, A., Karjaluoto, H., & Kautonen, T. (2009). Antecedents to permission based mobile marketing: an initial examination.European Journal of Marketing, 43(3/4), 473-499.
  22. Keller, E. (2007). Unleashing the power of word of mouth: Creating brand advocacy to drive growth. Journal of Advertising Research,47(4), 448–452.
  23. Keng, C. J., Huang, T. L., Zheng, L. J., & Hsu, M. K. (2007). Modeling service encounters and customer experiential value in retailing: An empirical investigation of shopping mall customers in Taiwan. International Journal of Service Industry Management, 18(4), 349-367.
  24. Liu, Y. (2006). Word of mouth for movies: Its dynamics and impact on box office revenue. Journal of Marketing, 70(3), 74–89.
  25. Nysveen, H., Pedersen, P. E., & Thorbj?rnsen, H. (2005). Explaining intention to use mobile chat services: moderating effects of gender. Journal of consumer Marketing, 22(5), 247-256.
  26. Park, C. W., & Macinnis, D. J. (2006). What’s In and What’s Out: Questions on the Boundaries of the Attitude Construct. Journal of Consumer Research, 33(1), 16-18.
  27. Pitt, L. F. and Watson, R. T. ,1995,Service Quality:A Measure of Information System Effectiveness. MIS Quarterly, pp.173-185.
  28. Richins, M. L. (1983). Negative word of mouth by dissatisfied consumers: A pilot study Journal of Marketing, 47(1), 68–78
  29. Sweeney, J. C., Soutar, G. N., & Mazzarol, T. (2012). Word of mouth: Measuring the power of individual messages. European Journal of Marketing, 46(1), 237–257.
  30. Westbrook, R.A. (1987). Product/consumption-based affective responses and postpurchase processes. Journal of Marketing Research, 24(3), 258–270.
  31. Yee, N. (2006). The demographics, motivations, and derived experiences of users of massively multi-user online graphical environments. Presence, 15(3), 309-329.
  32. Mobile Marketing Association,MMA
  33. 虛實緊密結合的SoLoMo時代來臨,你準備好了嗎?
  34. 一、 中文部份
  35. 白啟元。(2011)。Location-Based Services開發-以敏捷軟體開發方法為例。國立高雄第一科技大學資訊管理研究所碩士論文,高雄市。
  36. 白誌傑。(2011)。外國旅客對台灣夜市小吃購買行為之解析-恐新症 vs.獵奇成癖。未出版。
  37. 余舜德。(1994)。臺灣夜市的歷史與政治經濟研究。中央研究院週報,564 期。
  38. 周駿呈。(2007)。行動定位服務應用發展趨勢分析。 工研院 IEK產業分析報告。
  39. 林建宏、徐國堂。(2013)。Android+ios UIDesign行動裝置介面設計。佳魁資訊出版,台北市。
  40. 林彥宏。(2005)。網路口碑對消費者購買決策影響之探討。未出版碩士論文,國立中央大學,桃園縣。
  41. 林玉如。各種定位技術之比較。工研院 IEK-ITIS 2004-03-15。
  42. 徐堅銘。(2013) 。消費者對旅遊APPs的使用滿意度。國立臺灣藝術大學圖文傳播藝術學系碩士學位論文,20-23。新北市。
  43. 陳哲銘、賴政國、賴建盛、黃俊閔。無所不在的資訊服務: LBS 定位服務簡介。國土資訊系統通訊第五十五期,2005。
  44. 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。國立東華大學資訊管理學碩士論文,花蓮市。
  45. 楊國鼎。(2010)。以科技接受模式探討即時定位廣告服務系統之研究。國立高雄大學高階經營管理碩士(EMBA)在職專班碩士論文,高雄市。
  46. 戴伯芬。(1993)。流動攤販與都會區趕集夜市的形成:臺灣非正式經濟的個案分析。未出版碩士論文,國立清華大學,新竹市。
  47. 顏家芝、林子傑、盧遠平、邱怡傑、李志仁。(1999)。夜市消費行為之比較與探討-以景美、士林、華西街三夜市為例。造園學報,5(2),39-56。
  48. 二、 英文部份
  49. Arndt, J. A. (1967a). Word of mouth advertising: A review of the literature. New York:Advertising Research Federation.
  50. Barnett, A. (2000). Taiwan: The finer China Antony Barnett tours the pariah ‘beautiful island’, whose new pro-independence president has thrown it once more into the path of its all-powerful big brother. The Observer, Mar 26.
  51. Bloom, D. (2002). Dan Bloom Taiwan’s night markets. Taipei: Tongyo Cultural Affairs Inc.
  52. Campbell, A. (2012). Word of mouth model of sales (working paper). Retrieved from http://faculty.som.yale.edu/arthurcampbell/documents/WOMSalesv2_000.pdf
  53. Davidow, M., & Leigh, J. H. (1998). The effects of organizational complaint responses on consumer satisfaction, word-of-mouth activity and repurchase intentions. Journal of Consumer Satisfaction/Dissatisfaction and Complaining Behavior, 11(1), 91–102
  54. Henderson, J. (2000). Food Hawkers and Tourism in Singapore. Hospitality Management, 19(2),109-117.
  55. Lynch, B. (1999). Street foods: Urban food and employment indeveloping countries. Gender & Society, 13(4), 563–565.
  56. Wang, C. (1999). The study on the planning of Taipei tourist night markets. Taipei: Taipei City Government.
  57. Wels, D. (1987), “Guide to GPS positioning”, Canadian GPS Associates
  58. Ying, W. P.,& Lee, M. T. (2007).Taiwan night market, after the travel experience andpurchase behavior research- For example to City Shih Lin Night market.Unpublished master’s thesis, National Kaohsiung University, Taiwan.
  59. Zhang, Q. L.,& Kuo, C. M. (2004).Taipei night market literature symposium report.Taipei City Literature, 148(1), 1–90.
  60. 三、 網路部份
  61. 產業情報研究所MIC-台灣有81%消費者在購物前搜尋口碑訊息
  62. http://mic.iii.org.tw/intelligence/pressroom/pop_pressFull.asp?sno=366&cred=2014/8/5
  63. 逾87%網友透過行動裝置使用網路社群逾87%網友透過行動裝置使用網路社群
  64. http://mic.iii.org.tw/aisp/pressroom/press01_pop.asp?sno=367&type1=2
  65. TechCrunch中國-App Store下載量累計超850億次,第四財季營收同比增長36%
  66. http://techcrunch.cn/2014/10/21/App-store-downloads-top-85-billion/
  67. CNN-10 things Taiwan does batter than anywhere else
  68. http://edition.cnn.com/2014/01/15/travel/10-things-taiwan/
  69. https://www.millwardbrown.com/
  70. 蘇文彬,2011,資策會 FIND:國內約 300 萬人使用智慧型手機【新聞群組】
  71. http://www.ithome.com.tw/itadm/article.php?c=68869
  72. 10大夜市美食PK
  73. http://www.tcff.com.tw/2013tcff/nightmarket/billboard
  74. http://www.mmaglobal.com/about
  75. Web 3.0 定義,北美兩大創投天王的 SoLoMo vs. SoMoCloGlo
  76. http://mrjamie.cc/2011/05/06/web-3-fred-wilson-john-doerr/
  77. http://emf.migosoft.com/case/case122.html
  78. 數位時代-不怕被問要吃啥!五大App,帶你吃遍台灣美食餐廳
  79. http://www.bnext.com.tw/article/view/id/32255