(54.236.58.220) 您好!臺灣時間:2021/02/28 09:27
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果

詳目顯示:::

我願授權國圖
: 
twitterline
研究生:駱嘉玲
研究生(外文):Chia-Ling Lo
論文名稱:碩士論文指導教授之傳遞口碑初探- 應用關鍵事件分析法
論文名稱(外文):Spreading Word-of Mouth of Master Thesis Advisor: via Critical Incidents Technique
指導教授:洪大安洪大安引用關係劉芳怡
指導教授(外文):Ta-an HungFangyi Liu
口試委員:蕭玉芬林俊男
口試委員(外文):Yu-Fen HsiaoChun-Nan Lin
口試日期:2020-06-15
學位類別:碩士
校院名稱:稻江科技暨管理學院
系所名稱:休閒遊憩管理學系碩士班
學門:民生學門
學類:觀光休閒學類
論文種類:學術論文
論文出版年:2020
畢業學年度:108
語文別:中文
論文頁數:87
中文關鍵詞:指導教授口碑口碑傳遞關鍵事件分析法
外文關鍵詞:advisor's word of mouthword of mouth transmission,Critical Incidents Technique,CIT
相關次數:
  • 被引用被引用:0
  • 點閱點閱:28
  • 評分評分:系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
近年來由於高等教育普及,就讀碩士班的學生人口倍增,在兩年的時間內完成論文是一個重要的課題,而如何選擇指導教授更攸關能否順利畢業。口碑傳遞較常用於商業性的行銷活動中,而少用於非商業的活動。在先前的研究證實,學生確實會依賴口碑進行選課活動,但少有資料研究碩士生選擇指導教授的口碑傳遞。故本研究將對碩士畢業生進行訪談,探討其選擇指導教授的口碑傳遞。
本研究之資料蒐集採用「關鍵事件技術分析法」來設計訪談內容,預計對12位已取得碩士學位之社會人士進行深度訪談。主要目的為了解口碑傳遞對碩士生選擇指導教授的決策是否受到影響,以及其關聯性,以此做為碩士生選擇指導教授的參考依據。

關鍵字:指導教授口碑、口碑傳遞、關鍵事件分析法

In recent years, due to the popularization of higher education, the number of students studying in master's class has doubled. It is an important topic to finish the thesis within two years. How to choose the advisoror is more important to graduate smoothly. Word of mouth is more commonly used in commercial marketing activities, but less used in non-commercial activities. Previous studies have confirmed that students do rely on word-of-mouth for course selection activities, but few graduate students choose to advisor's word-of-mouth transmission. Therefore, this study will interview the graduates to discuss the word-of-mouth transmission of their choice of guidance professors.
The data collected in this study were designed by the method of " Critical Incidents Technique,CIT ". It is expected to conduct in-depth interviews with 12 social people who have obtained master's degree. The main purpose is to find out whether word-of-mouth transmission affects the decision-making of choosing advisor for master students and its relevance, so as to serve as a reference for the selection of guidance professor for master students.
Keywords: advisor's word of mouth, word of mouth transmission, Critical Incidents Technique,CIT

摘 要......................... i
ABSTRACT......................... ii
誌 謝......................... iii
目 錄......................... iv
表 目 錄......................... vii
圖 目 錄......................... viii
第一章 緒論......................... 1
1.1 研究動機與背景......................... 1
1.2 研究目的......................... 4
1.3 研究流程......................... 5
1.4 研究範圍與對象......................... 6
1.5 研究限制......................... 6
第二章 文獻回顧......................... 7
2.1 口碑的定義......................... 7
2.2 口碑傳播......................... 9
2.3 傳統口碑與電子口碑......................... 10
2.4 口碑影響消費者決策......................... 10
2.5 CIT在各領域的應用......................... 12
第三章 研究設計與方法......................... 15
3.1 研究設計......................... 15
3.1.1 質性研究............................. 17
3.2 研究分析方法......................... 19
3.3 研究樣本之選取......................... 19
第四章 研究分析結果......................... 20
4.1 樣本分析......................... 20
4.1.1 受訪者樣本分析......................... 22
4.2 訪談結果分析......................... 22
4.2.1以CIT分析搜尋論文指導教授口碑的管道與途徑有哪些?......................... 22
4.2.2以CIT探討口碑對於選擇指導教授的過程中重要嗎?.................................................. 31
4.2.3口碑搜尋者會搜尋什麼?(例如:教學風格,人格特質,好過與否等……)......................... 34
4.2.4碩士生在選擇指導教授時的決定因素是什麼?......................... 42
4.2.5是否會將口碑主動或被動的傳播下去?......................... 43
第五章 結論與建議......................... 44
5.1 結論......................... 44
5.2 建議......................... 46
5.3 後續研究建議......................... 46
參考文獻......................... 47
附錄一 碩士生指導教授口碑傳遞行為質性訪談問卷......................... 51
附錄二 訪談報告逐字稿......................... 52

內政部統計處15歲以上人口高等教育程度-大學、研究所(含博士班)人口總計表
線上檢索日期2019年10月13日網址:
https://statis.moi.gov.tw/micst/stmain.jsp?sys=220&ym=9500&ymt=10700&kind=21&type=1&funid=c0110401&cycle=4&outmode=0&compmode=0&outkind=1&fldspc=0,1,2,2,&cod00=1&cod10=1&rdm=r5A9yiem
教育部重編國語辭典修訂本(2019)線上檢索日期2019年10月17日網址:
http://dict.concised.moe.edu.tw/cgibin/jbdic/gsweb.cgi?o=djbdic&searchid=Z00000018304
吳文丹(201)。登山健行育樂營口碑之初探-關鍵事件分析法之應用稻江科技暨管理學院休閒遊憩與旅運管理學系研究所碩士論文,未出版,嘉義。
劉芳怡(2011)。應用模糊語意偏好關係法評估旅遊風險之口碑對偶。國立台灣科技大學企業管理系博士論文,未出版,台北。
劉芳怡(2003)。模糊新服務發展模式之建構─以顧客價值為基礎。國立高雄第一科技大學行銷與流通管理研究所碩士論文,未出版,高雄。
Álvarez-Monzoncillo, J. M., de Haro Rodríguez, G., & Picard, R. G. (2018). Digital word of
mouth usage in the movie consumption decision process: the role of Mobile-WOM among
young adults in Spain. JMM: The International Journal on Media Management, 20(2), 107–
128.
Alon, A., & Brunel, F. (2018). Peer-to-peer word-of-mouth: word-of-mouth extended to group
online exchange. Online Information Review, 42(2), 176–190.
Cui, F., Hu, H., Cui, W., & Xie, Y. (2018). Seeding strategies for new product launch: The role
of negative word-of-mouth. PLoS ONE, 13(11), 1–23.
Consiglio, I., Angelis, M. D., & Costabile, M. (2018). The Effect of Social Density on Word of
Mouth. Journal of Consumer Research, 45(3), 511–528.
Curran, C., Lydon, S., Kelly, M. E., Murphy, A. W., & O’Connor, P. (2019). An analysis of
general practitioners’ perspectives on patient safety incidents using critical incident technique
interviews. Family Practice, 36(6), 736–742.
Chen, Y., F. Liu, C. H. Fang, and Lin, T. M. Y.(2013). Understanding the effectiveness of
word-of mouth: An elasticity perspective. Journal of Research in Interactive Marketing, 7(1),
57-77.
Chen, Y, F. Liu, L. M. Ho, and Lin, T. M. Y. (2012). Development of word-of-mouth
elasticity measures for tourism product categories. Psychology, 3(9), 722-728.
Frantell, K. A., Miles, J. R., Muller, J. T., & Robinson, L. M. (2018). A Typology of Critical
Incidents in Intergroup Dialogue: Perspectives of Facilitators-in-Training. Group
Dynamics, 22(3), 156–171.
Frantell, K. A., Miles, J. R., Muller, J. T., & Robinson, L. M. (2018). A Typology of Critical
Incidents in Intergroup Dialogue: Perspectives of Facilitators-in-Training. Group
Dynamics, 22(3), 156–171.
Flanagan, J. C. (1954). The Critical Incident Technique. Psychological Bulletin, 51, 327-58.
Fang C. H., T. M. Y. Lin, F. Liu, and Lin, Y. H. (2011,). Product type and word of mouth: A
dyadic perspective. Journal of Research in Interactive Marketing, 5(2/3), 189-202.
F. Liu, Y. L. Liu, Y. L. Huang, and M. J. Lee (2015), "Ecotorism Risk Word-of-Mouth: via
Fuzzy Set Perspective", International Journal of Digital Humanities and Creative Innovation
Management, 3(1), 11-20.
F. Liu, Y. T. Hung, and Y. L. Hung (2015). Word-of-mouth aesthetics and tourism culture: A
case study of Japan Airline. CIIP International Certification Review, 1(1) , 1-8.
F. Liu, L. M. Ho, and T. M. Y. Lin(2015). G.I.T. Travel Risk and Word-of-Mouth Dyad: via
Fuzzy Prioritization. CIIP International Certification Review, 1(1) , 41-50.
Goodwill, A. (2016). A Critical Incident Technique Study of the Facilitation of Gang Entry: \
rspectives of Indigenous Men Ex-Gang Members. Journal of Aggression, Maltreatment &
Trauma, 25(5), 518–536.
Graybill, E., Heggs, A., Truscott, S., Vinoski, E., Crenshaw, M., & Crimmins, D. (2017). Using
the critical incident technique to measure long-term outcomes of interprofessional
education. Journal of Interprofessional Care, 31(4), 533–536.
Haussner, D., Maemura, Y., & Matous, P. (2018). Exploring Internationally Operated
Construction Projects through the Critical Incident Technique. Journal of Management in
Engineering, 34(5), 1–13.
Hosie, A., Agar, M., Lobb, E., Davidson, P. M., & Phillips, J. (2014). Palliative care nurses’
recognition and assessment of patients with delirium symptoms: A qualitative study using
critical incident technique. International Journal of Nursing Studies, 51(10), 1353–1365.
Kuo-Ting Yu, Hsi-Peng Lu, Chih-Yu Chin, & Yu-Shiuan Jhou. (2019). Box office performance:
Influence of online word-of-mouth on consumers’ motivations to watch movies. Social
Behavior & Personality: An International Journal, 47(10), 1–17.
Kuo-Ting Yu, Hsi-Peng Lu, Chih-Yu Chin, & Yu-Shiuan Jhou. (2019). Box office performance:
Influence of online word-of-mouth on consumers’ motivations to watch movies. Social
Behavior & Personality: An International Journal, 47(10), 1–17.
Kim, J. J., Nam, M., & Kim, I. (2019). The effect of trust on value on travel websites: enhancing
well-being and word-of-mouth among the elderly. Journal of Travel & Tourism
Marketing, 36(1), 76–89.
Li, Y., Wu, R., Li, D., & Fan, H. (2019). Can scarcity of products promote or restrain consumers’
word-of-mouth in social networks? The moderating roles of products’ social visibility and
consumers’ self-construal. Computers in Human Behavior, 95, 14–23.
Li, P., Yang, X., Wu, Y., He, W., & Zhao, P. (2018). Discount pricing in word-of-mouth
marketing: An optimal control approach. Physica A, 505, 512–522.
Li, P., Yang, X., Yang, L.-X., Xiong, Q., Wu, Y., & Tang, Y. Y. (2018). The modeling and
analysis of the word-of-mouth marketing. Physica A, 493, 1–16.
Le, T. D., Robinson, L. J., & Dobele, A. R. (2020). Understanding high school students use of
choice factors and word-of-mouth information sources in university selection. Studies in
Higher Education, 45(4), 808–818.
Mahmoud, A. B., & Grigoriou, N. (2017). When empathy hurts: Modelling university students’
word of mouth behaviour in public vs. private universities in Syria. Higher Education
Quarterly, 71(4), 369–383.
Martin, S., Greiling, D., & Leibetseder, N. (2019). Effects of word-of-mouth on the behavior
of Austrian blood donors: a case study of the Red Cross Blood Donation Service. Health
Promotion International, 34(3), 429–439.
Madrid Akpovo, S. (2019). Uncovering cultural assumptions: Using a critical incident
technique during an international student-teaching field experience. Contemporary Issues in
Early Childhood, 20(2), 146–162.
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.
Naiji Lu, & Hong Wu. (2016). Exploring the impact of word-of-mouth about Physicians’
service quality on patient choice based on online health communities. BMC Medical
Informatics & Decision Making, 16, 1–10.
Najmul Islam, A. K. M. (2014). Sources of satisfaction and dissatisfaction with a learning
management system in post-adoption stage: A critical incident technique approach. Computers
in Human Behavior, 30, 249–261.
Sijoria, C., Mukherjee, S., & Datta, B. (2019). Impact of the antecedents of electronic word of
mouth on consumer based brand equity: a study on the hotel industry. Journal of Hospitality
Marketing & Management, 28(1), 1–27.
Stojmenovic, M., Biddle, R., Grundy, J., & Farrell, V. (2019). The influence of textual and
verbal word-of-mouth on website usability and visual appeal. Journal of
Supercomputing, 75(4), 1783–1830.
Shen, H., & Sengupta, J. (2018). Word of Mouth versus Word of Mouse: Speaking about a
Brand Connects You to It More Than Writing Does. Journal of Consumer Research, 45(3),
595–614.
Sarmiento Guede, J. R., de Esteban Curiel, J., & Antonovica, A. (2018). Word-of-Mouth
Communication as a Consequence of Relationship Quality in Online Environments. Palabra
Clave, 21(4), 1075–1106.
Tan, W.-K., & Lee, B.-Y. (2019). Investigation of electronic-word-of-mouth on online social
networking sites written by authors with commercial interest. Online Information Review, 43(3),
462–480.
Tan, W.-K. (2017). The effect of temporal psychological distance on reliance on word-of-mouth
for information about destination image attributes. Behaviour & Information
Technology, 36(11), 1101–1110.
Viergever, R. F. (2019). The Critical Incident Technique: Method or Methodology? Qualitative
Health Research, 29(7), 1065–1079.
Weitzl, W., Hutzinger, C., & Einwiller, S. (2018). An empirical study on how webcare mitigates
complainants’ failure attributions and negative word-of-mouth. Computers in Human
Behavior, 89, 316–327.
Wang, P., Li, H., & Liu, Y. (2020). Disentangling the factors driving electronic word-of-mouth
use through a configurational approach. Internet Research, 30(3), 925–943.
Wang, Y., Li, M., Feng, H., & Feng, N. (2019). Optimal sequential releasing strategy for
software products in the presence of word-of-mouth and requirements uncertainty. Information
Technology & Management, 20(3), 153–174.
Wang, L., Yi, T., & Ren, Y. (2018). Quantitative Analysis of the Impact of Information Loss
Rate on Internet Word-of-mouth Transmission. Journal of Coastal Research, 83, 729–734.
Yuan, Y.-H., Tsao, S.-H., Chyou, J.-T., & Tsai, S.-B. (2020). An empirical study on effects of
electronic word-of-mouth and Internet risk avoidance on purchase intention: from the
perspective of big data. Soft Computing - A Fusion of Foundations, Methodologies &
Applications, 24(8), 5713–5728.

電子全文 電子全文(網際網路公開日期:20250712)
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
系統版面圖檔 系統版面圖檔