(3.92.96.236) 您好!臺灣時間:2021/05/07 16:06
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:::

: 
twitterline
研究生:陳柏吟
研究生(外文):CHEN, PO-YIN
論文名稱:虛擬社群美妝業配文之知識結構讀者反應結構探討
論文名稱(外文):The Knowledge Structures of Fashion and Beauty’s Sponsored Posts and the Reaction Structures of their Readers in Virtual Communities
指導教授:李來錫李來錫引用關係
指導教授(外文):LEE, LAI-HSI
口試委員:林哲宏黃允成李來錫
口試委員(外文):LIN, CHE-HUNGHUANG, YUN-CHENGLEE, LAI-HSI
口試日期:2017-06-23
學位類別:碩士
校院名稱:國立屏東大學
系所名稱:資訊管理學系碩士班
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2017
畢業學年度:105
語文別:中文
論文頁數:76
中文關鍵詞:虛擬社群知識結構業配文正規化概念分析
外文關鍵詞:Virtual CommunityKnowledge StructureSponsored PostsFormal Concept Analysis
相關次數:
  • 被引用被引用:7
  • 點閱點閱:1129
  • 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:244
  • 收藏至我的研究室書目清單書目收藏:0
時尚美妝新品不斷創新,愈來愈多人透過虛擬社群進行相關產品資訊的交流,廠商因而察覺商機,與部落客合作業配文,做為另一種行銷手法。業配文數量繁多,但品質不一,本研究目的探討這些業配文知識分享所形成的知識結構,並透過內容分析法探討其中知識概念。研究是以美妝時尚知名部落客為抽樣對象,並利用系統抽樣取得200篇相關業配文,接著從文章中歸類出五項類別「穿搭」、「美甲」、「美髮」、「保養」和「彩妝」,接著從資料中萃取出「封面圖」、「動機」和「內容」三項知識概念,再以內容分析法彙整出五個知識結構圖。再透過時尚美妝Youtube影片留言,抽取811筆樣本,利用正規化概念分析深入探討讀者需求,並與知識結構圖相互應證,明確了解何種知識結構內文的業配文最吸引讀者,以提供未來寫作業配文之參考。
Recently information of fashion and beauty products have been highly posted and exchanged in virtual communities, where become important channels for market promotion. Therefore, many companies sponsor bloggers to write posts become a new trend for marketing. However, the quality of posts is diversifying. It needs to organize the key concepts of a good quality of post. The aim of this paper is to build the knowledge structure of Fashion and Beauty’s sponsored posts in virtual communities and the requirements of readers. 200 data are collected from famous fashion and beauty blogs. And there are five categories be recognized: “outfit”, “nails”, “hair”, “skin care” and “makeup” with three knowledge concepts “cover photo”, “motivation” and “content”. Then the related knowledge structure maps are built to illustrate the content of posts. 811 data are collected from fashion and beauty films in Youtube channel. To realized the requirements of readers using Formal Concept Analysis. And to compare between the knowledge structure of Fashion and Beauty’s sponsored posts and the demand of readers. The results can be used as references for bloggers to write sponsored posts in future.
誌謝 I
摘要 III
Abstract IV
目錄 V
表目錄 VIII
圖目錄 IX

第壹章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的 2
第三節 研究架構 3
第四節 研究限制 5

第貳章 文獻探討 7
第一節 虛擬社群 7
第二節 網路口碑 9
第三節 知識結構 12
第四節 正規化概念分析 14

第參章 研究方法 19
第一節 研究流程 19
第二節 資料抽樣 20
第三節 部落客業配文範例與知識結構 24
第四節 「保養」和「彩妝」影片留言概念分類與定義 29

第肆章 業配文知識結構圖 39
第一節 穿搭業配文之內容分析 39
第二節 美甲業配文之內容分析 42
第三節 美髮業配文之內容分析 45
第四節 保養業配文之內容分析 47
第五節 彩妝業配文之內容分析 49

第伍章 「保養」和「彩妝」影片留言正規化概念分析 52
第一節 保養之正規化概念分析 52
第二節 彩妝之正規化概念分析 57
第三節 「保養」和「彩妝」影片留言態度 61

第陸章 結論與建議 66
第一節 研究結論 66
第二節 未來研究建議 68

第柒章 參考文獻 69

王秉鈞、邱鴻祥、王詩蕙(2015)。線上遊戲產業知識萃取機制之研究~ 以美術設計類市場情蒐專員為例。全球科技管理與教育期刊,21,21-46。
余民寧(1997)。教育測驗與評量。新北市:心理出版社。
周文賢(2004)。多變量統計分析SAS/STAT使用方法。臺北市:智勝文化。
林東清(2003)。知識管理。臺北市:智勝文化。
許禎元(2004)。社會科學信度與效度的檢定及其關聯性。醒吾學報,27,1-23。
陳年興、謝盛文、黃琬婷 (2007)。自動化建構具時間向度之知識結構映射圖-以資訊管理領域之知識及其演進為例.。資訊管理學報,14(1),1-32。
陳羿妙(2012),口碑彈性對口碑效果的衡量與比較:以旅遊商品為例(博士論文)。取自臺灣博碩士論文知識加值系統。(系統編號101NTUS5121004)
黃元郁(2014),有評有真相-影響行動軟體商店 eWOM 評論動機因素之探討(碩士論文)。取自臺灣博碩士論文知識加值系統。(系統編號102NSYS5375014)。

Ahamed, S. V. (2016). Evolution of Knowledge Science: Myth to Medicine: Intelligent Internet-Based Humanist Machines. Burlington, United States: Morgan Kaufmann.
Arévalo, G., Ducasse, S., Gordillo, S., & Nierstrasz, O. (2010). Generating a catalog of unanticipated schemas in class hierarchies using formal concept analysis. Information and Software Technology, 52(11), 1167-1187. doi: 10.1016/j.infsof.2010.05.010
Arndt, J. (1967). Role of product-related conversations in the diffusion of a new product. Journal of Marketing Research, 4(3), 291-295. doi: 10.2307/3149462
Casaló, L. V., FlaviáN, C., & GuinalíU, M. (2010). Relationship quality, community promotion and brand loyalty in virtual communities: Evidence from free software communities. International Journal of Information Management, 30(4), 357-367. doi: 10.1016/j.ijinfomgt.2010.01.004
Cattaneo, G., Chiaselotti, G., Ciucci, D., & Gentile, T. (2016). On the connection of hypergraph theory with formal concept analysis and rough set theory. Information Sciences, 330, 342-357. doi: 10.1016/j.ins.2015.09.054
Chan, K. W., & Li, S. Y. (2010). Understanding consumer-to-consumer interactions in virtual communities: The salience of reciprocity. Journal of Business Research, 63(9), 1033-1040. doi: 10.1016/j.jbusres.2008.08.009
Chen, C. J., & Hung, S. W. (2010). To give or to receive? Factors influencing members’ knowledge sharing and community promotion in professional virtual communities. Information & Management, 47(4), 226-236. doi: 10.1016/j.im.2010.03.001
Chen, K., Luo, P., & Wang, H. (2017). An influence framework on product word-of-mouth (WoM) measurement. Information & Management, 54(2), 228-240. doi: 10.1016/j.im.2016.06.010
Cheung, C. M., & Lee, M. K. (2012). What drives consumers to spread electronic word of mouth in online consumer-opinion platforms. Decision support systems, 53(1), 218-225. doi: 10.1016/j.dss.2012.01.015
Chiu, D. Y., & Pan, Y. C. (2014). Topic knowledge map and knowledge structure constructions with genetic algorithm, information retrieval, and multi-dimension scaling method. Knowledge-Based Systems, 67, 412-428. doi: 10.1016/j.knosys.2014.03.008
Doboli, A., Umbarkar, A., Doboli, S., & Betz, J. (2015). Modeling semantic knowledge structures for creative problem solving: Studies on expressing concepts, categories, associations, goals and context. Knowledge-Based Systems, 78, 34-50. doi: 10.1016/j.knosys.2015.01.014
Dubois, D., & Prade, H. (2012). Possibility theory and formal concept analysis: Characterizing independent sub-contexts. Fuzzy Sets and Systems, 196, 4-16. doi: 10.1016/j.fss.2011.02.008
Governatori, G., & Iannella, R. (2011). A modelling and reasoning framework for social networks policies. Enterprise Information Systems, 5(1), 145-167. doi: 10.1080/17517575.2010.513014
Gu, D., Li, J., Li, X., & Liang, C. (2017). Visualizing the knowledge structure and evolution of big data research in healthcare informatics. International Journal of Medical Informatics, 98, 22-32. doi: 10.1016/j.ijmedinf.2016.11.006
He, N., Rümmer, P., & Kroening, D. (2011). Test-case generation for embedded simulink via formal concept analysis. In Proceedings of the 48th Design Automation Conference , 224-229. doi: 10.1145/2024724.2024777
Heller, J., & Wickelmaier, F. (2013). Minimum discrepancy estimation in probabilistic knowledge structures. Electronic Notes in Discrete Mathematics, 42, 49-56. doi: 10.1016/j.endm.2013.05.145
Hsu, H. Y., & Tsou, H. T. (2011). Understanding customer experiences in online blog environments. International Journal of Information Management, 31(6), 510-523. doi: 10.1016/j.ijinfomgt.2011.05.003
Jiang, G., Pathak, J., & Chute, C. G. (2009). Formalizing ICD coding rules using formal concept analysis. Journal of Biomedical Informatics, 42(3), 504-517. doi: 10.1016/j.jbi.2009.02.005
Johnson-Laird, P. N. (1983). Mental models: Towards a cognitive science of language, inference, and consciousness. Commonwealth of Massachusetts, United States: Harvard University
Kalyuga, S., & Hanham, J. (2011). Instructing in generalized knowledge structures to develop flexible problem solving skills. Computers in Human Behavior, 27(1), 63-68. doi: 10.1016/j.chb.2010.05.024
Khasseh, A. A., Soheili, F., Moghaddam, H. S., & Chelak, A. M. (2017). Intellectual structure of knowledge in iMetrics: A co-word analysis. Information Processing & Management, 53(3), 705-720. doi: 10.1016/j.ipm.2017.02.001
Kim, J., Song, J., & Jones, D. R. (2011). The cognitive selection framework for knowledge acquisition strategies in virtual communities. International Journal of Information Management, 31(2), 111-120. doi: 10.1016/j.ijinfomgt.2010.05.011
Leal, G. P. A., Hor-Meyll, L. F., & de Paula Pessôa, L. A. G. (2014). Influence of virtual communities in purchasing decisions: The participants' perspective. Journal of Business Research, 67(5), 882-890. doi: 10.1016/j.jbusres.2013.07.007
Li, F., & Du, T. C. (2011). Who is talking? An ontology-based opinion leader identification framework for word-of-mouth marketing in online social blogs. Decision Support Systems, 51(1), 190-197. doi: 10.1016/j.dss.2010.12.007
Lihonosova, A., & Kaminskaya, A. (2014). Using formal concept analysis for finding the closest relatives among a Group of organisms. Procedia Computer Science, 31, 860-868. doi: 10.1016/j.procs.2014.05.337
Litvin, S. W., Goldsmith, R. E., & Pan, B. (2008). Electronic word-of-mouth in hospitality and tourism management. Tourism management, 29(3), 458-468. doi: 10.1016/j.tourman.2007.05.011
Liu, P., Raahemi, B., & Benyoucef, M. (2011). Knowledge sharing in dynamic virtual enterprises: A socio-technological perspective. Knowledge-Based Systems, 24(3), 427-443. doi: 10.1016/j.knosys.2010.12.004
Lu, H. P., Lin, J. C. C., Hsiao, K. L., & Cheng, L. T. (2010). Information sharing behaviour on blogs in Taiwan: Effects of interactivities and gender differences. Journal of Information Science, 36(3), 401-416. doi: 10.1177/0165551510363631
Montero, J., Bustince, H., Franco, C., Rodríguez, J. T., Gómez, D., Pagola, M., Fernández, J. & Barrenechea, E. (2016). Paired structures in knowledge representation. Knowledge-Based Systems, 100, 50-58. doi: 10.1016/j.knosys.2016.02.003
Nejad, M. G., Amini, M., & Sherrell, D. L. (2016). The profit impact of revenue heterogeneity and assortativity in the presence of negative word-of-mouth. International Journal of Research in Marketing, 33(3), 656-673. doi: 10.1016/j.ijresmar.2015.11.005
Parker, G., & Thomas, L. (2010). Wave 5 social media tracker: The socialisation of brands. New York , United States: Universal McCann.
Pei, Z., Ruan, D., Meng, D., & Liu, Z. (2013). Formal concept analysis based on the topology for attributes of a formal context. Information Sciences, 236, 66-82. doi: 10.1016/j.ins.2013.02.027
Poelmans, J., Ignatov, D. I., Kuznetsov, S. O., & Dedene, G. (2013). Formal concept analysis in knowledge processing: A survey on applications. Expert Systems with Applications, 40(16), 6538-6560. doi: 10.1016/j.eswa.2013.05.009
Rheingold, H. (2000). The virtual community: Homesteading on the electronic frontier. Commonwealth of Massachusetts, United States: MIT.
Shafiq, S. I., Sanin, C., Szczerbicki, E., & Toro, C. (2014). Implementing virtual engineering objects VEO with the set of experience knowledge structure SOEKS. Procedia Computer Science, 35, 644-652. doi: 10.1016/j.procs.2014.08.146
Spaulding, T. J. (2010). How can virtual communities create value for business? . Electronic Commerce Research and Applications, 9(1), 38-49. doi: 10.1016/j.elerap.2009.07.004
Standing, C., Holzweber, M., & Mattsson, J. (2016). Exploring emotional expressions in e-word-of-mouth from online communities. Information Processing & Management, 52(5), 721-732. doi: 10.1016/j.ipm.2016.01.001
Wang, K., & Lin, C. L. (2012). The adoption of mobile value-added services: Investigating the influence of IS quality and perceived playfulness. Managing Service Quality: An International Journal, 22(2), 184-208. doi: 10.1108/09604521211219007
Wang, S., & Noe, R. A. (2010). Knowledge sharing: A review and directions for future research. Human Resource Management Review, 20(2), 115-131. doi: 10.1016/j.hrmr.2009.10.001


QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
無相關點閱論文
 
系統版面圖檔 系統版面圖檔