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    Academic Journal
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    Dissertation/ Thesis

    المؤلفون: 林家瑜, Lin, Chia-Yu

    المساهمون: 李怡慧, Lee, Yi-Hui

    وصف الملف: 2697442 bytes; application/pdf

    Relation: AbuSa’aleek, A. O. (2015). Internet linguistics: A linguistic analysis of electronic discourse as a new variety of language. International Journal of English Linguistics, 5(1), 135-145.\nAslam, F., Awan, T. M., Syed, J. H., Kashif, A., and Parveen, M. (2020). Sentiments and emotions evoked by news headlines of coronavirus disease (COVID-19) outbreak. Humanities and Social Science Communications, 7(1), 1-9.\nChen, L, Baird, A., and Straub, D. (2019). Fostering participant health knowledge and attitudes: An econometric study of a chronic disease-focused online health community. Journal of Management Information Systems, 36(1), 194-229.\nChoi, E., Kitzie, V., and Shah, C. (2013). A machine learning-based approach to predicting success of questions on social question-answering. iConference 2013 Proceedings, (pp. 409-421).\nChua, A. Y. K. and Banerjee, S. (2015). Answers or no answers: Studying question answerability in Stack Overflow. Journal of Information Science, 41(5), 720-731.\nCobb, S. (1976). Social support as a moderator of life stress. Psychosomatic Medicine, 38(5), 300-314.\nCohen, J. (1960). A coefficient of agreement for normal scales. Educational and Psychological Measurement. 20(1), 37-46.\nColineau, N. and Paris, C. (2010). Talking about your health to strangers: Understanding the use of online social networks by patients. New Review of Hypermedia and Multimedia, 16(1-2), 141-160.\nCoursaris, C. K. and Liu, M. (2009). An analysis of social support exchanges in online HIV/AIDS self-help groups. Computers in Human Behavior, 25(4), 911-918.\nGlascoe, F. P. (1997). Parents` concerns about children`s development: Prescreening technique or screening test? Pediatrics, 99(4), 522-528.\nHenderson, A. C., Sandra M. H., and Jeffrey H. (2010). A new state of surveillance? An application of Michel Foucault to modern motherhood. Surveillance & Society, 7(3/4), 231-247.\nHuang, K.Y., Chengalur-Smith, I., and Pinsonneault, A. (2019). Sharing is caring: Social support provision and companionship activities in healthcare virtual support communities. MIS Quarterly, 43(2), 295-423.\nJosefsson, U. (2005). Coping with illness online: The case of patients’ online communities. The Information Society, 21, 143-153.\nKearney, P. M. and Griffin, T. (2001). Between joy and sorrow: being a parent of a child with developmental disability. Journal of Advanced Nursing, 34(5), 582-592.\nKeller, M. M., Frenzel, A. C., Goetz, T., Pekrun, R., and Hensley, L. (2014). Exploring teacher emotions: A literature review and an experience sampling study. In P. W. Richardson, S. A. Karabenick, and H. M. G. Watt (Eds.) (2014). Teacher Motivation: Theory and Practice (1st ed.), pp. 69-82. NY: Routledge.\nKhoo, C. SG. (2018). Lexicon-based sentiment analysis: Comparative evaluation of six sentiment lexicons. Journal of Information Science, 44(4), 491-511.\nKhatoon, S. and Rehman, V. (2021). Negative emotions in consumer brand relationship: A review and future research agenda. International Journal of Consumer Studies, 45, 719-749.\nKrizan, Z. and Hisler, G. (2019). Sleepy anger: Restricted sleep amplifies angry feelings. Journal of Experimental Psychology: General, 148(7), 1239–1250.\nLasker, J. N., Sogolow, E. D., and Sharim, R. R. (2005). The role of an online community for people with a rare disease: Content analysis of messages posted on a primary biliary cirrhosis mailinglist. Journal of Medical Internet Research, 7(1), e10.\nLee, S. Y., and Hawkins, R. P. (2016). Worry as an uncertainty-associated emotion: Exploring the role of worry in health information seeking. Health Communication, 31(8), 926-933.\nLiamputtong, P. (2006). Motherhood and “moral career”: discourses of good motherhood among southeast Asian immigrant women in Australia, Qual Sociol, 29, 25-53.\nLoane, S. S. and D`Alessandro, S. (2013). Communication that changes lives: Social support within an online health community for ALS. Communication Quarterly, 61(2), 236-251.\nLupton, D. (2000). `A love/hate relationship`: The ideals and experiences of first- time mothers. Journal of Sociology, 36(1). 50-63.\nMehta, Y., Majumder, N., Gelbukh, A., and Cambria, E. (2020). Recent trends in deep learning based personality detection. Artificial Intelligence Review, 53, 2313-2339.\nMichaels, P. A. and Kokanovic, R. (2018). The complex and contradictory emotional paths to parenthood. In R. Kokanović, P. A. Michaels, K. Johnston-Ataata (Eds.). (2018). Paths to Parenthood: Emotions on the journey through pregnancy, childbirth, an early parenting, pp. 1-17. Springer.\nMikolajczak, M., Brianda, M. E., Avalosse, H., and Roskam, I. (2018). Consequences of parental burnout: Its specific effect on child neglect and violence. Child Abuse & Neglect, 80, 134-145.\nMikolajczak, M., Gross, J. J., and Roskam, I. (2019). Parental burnout: What is it, and why does it matter? Clinical Psychological Science, 7(6), 1-11.\nMohammad, S. M., and Turney, P. D. (2012). Crowdsourcing a word – emotion association lexicon. Computational Intelligence, 29(3), 436-465.\nNa, J. C. and Chia, S. W. (2008) Impact of online resources on informal learners: Parents’ perception of their parenting skills, Computers & Education, 51(1) 173-186.\nNurka, C. (2018). Postnatural families: Refiguring intimacy through assisted reproduction. In R. Kokanović, P. A. Michaels, K. Johnston-Ataata (Eds.). (2018). Paths to Parenthood: Emotions on the journey through pregnancy, childbirth, an early parenting, pp. 21-43. Springer.\nNyström, K. and Öhrling, K. (2004). Parenthood experiences during the child’s first year: Literature review. Journal of Advanced Nursing, 46(3), 319-330.\nOuvrein, G. (2022). Mommy influencers: helpful or harmful? The relationship between exposure to mommy influencers and perceived parental self-efficacy among mothers and primigravida. New Media & Society, 0.\nÖztora, S., Arslan, A., Caylan, A., and Dağdeviren, H. N. (2019). Postpartum depression and affecting factors in primary care, Nigerian Journal of Clinical Practice, 22(1), 85-91.\nPak, A. and Paroubek, P. (2010 May). Twitter as a corpus for sentiment analysis and opinion mining. In Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC`10), pp. 1320-1326. Valletta, Malta. European Language Resources Association (ELRA).\nPálsdóttir, Á. (2017). From noticing to suspecting: The initial stages in the information behaviour of informal caregivers of people with dementia. In: J. Zhou and G. Salvendy (Eds.). Human Aspects of IT for the Aged Population. Applications, Services and Contexts. ITAP 2017. Part II. 10298, p. 452-466. Springer, Cham.\nPaulson, J. F. and Bazemore, S. D. (2010). Prenatal and postpartum depression in fathers and its association with paternal depression: A meta-analysis, Journal of American Medical Association, 303(19), 1961-1969.\nPennebaker, J. W., Boyd, R. L., Jordan, K., and Blackburn, K. (2015). The development and psychometric properties of LIWC2015. University of Texas-Austin.\nPlutchik, R. (1982). A psychoevolutionary theory of emotions. Social Science Information, 21, 529-553.\nPreece, J. (2001). Sociability and usability in online communities: Determining and measuring success. Behaviour & Information Technology, 20(5), 237-356.\nPrescott, J., Rathbone, A. L., and Brown G. (2020). Online peer to peer support: qualitative analysis of UK and US open mental health Facebook groups. Digital Health, 6, 1-17.\nRomano, A. M. (2007). A changing landscape: Implications of pregnant women’s internet use for childbirth educators. Journal of Perinatal Education, 16(4), 18-24.\nRotkirch, A. and Janhunen, K. (2009). Maternal guilt. Evolutionary Psychology, 8(1), 90-106.\nRuthven, I. (2019). The language of information need: Differentiating conscious and formalized information needs. Information Processing and Management, 56(1), 77-90.\nRuthven, I., Buchanan, S., and Jardine, C. (2018) Isolated, overwhelmed, and worried: Young first-time mothers asking for information and support online. Journal of the Association for Information Science and Technology, 69(9), 1073-1083.\nShaver, P., Schwartz, J., Kirson, D., and O`Connor, C. (1987). Emotion knowledge: Further exploration of a prototype approach. Journal of Personality and Social Psychology, 52(6), 1061–1086.\nShiha, M. O., and Ayvaz, S. (2017). The effects of emoji in sentiment analysis. International Journal of Computer Electrical Engineering, 9(10), 360-369.\nTaboada, M., Brooke, J., Tofiloski, M., Voll, K., and Stede, M. (2011) Lexicon-based methods for sentiment analysis. Association for Computational Linguistics, 37(2), 267-307.\nTausczik, Y. R. and Pennebaker, J. W. (2010). The psychological meaning of words: LIWC and computerized text analysis methods. Journal of Language and Social Psychology, 29(1), 24-54.\nTaylor, R. S. (1968). Question-negotiation and information seeking in libraries. College & Research Libraries, 29(3), 178–194.\nTroiano, G. (2022 June 2). 40 statistics you should know about online communities in 2022. Amity. https://www.amity.co/blog/40-statistics-you-should-know-about-online-communities.\nTurner, A. (2023 May). Reddit user base & growth statistics: How many people sse reddit? BankMyCell. https://www.bankmycell.com/blog/number-of-reddit-users/.\nVidal, L., Ares, G., and Jaeger, S. R. (2016). Use of emoticon and emoji in tweets for food-related emotional expression. Food Quality and Preference, 49, 119-128.\nWhite, M. and Dorman, M. (2001). Receiving social support online: Implications for health education. Health Education Research, 16(6), 693-707.\nWicks, P., Massagli, M., Forst, J., Brownstein, C., Okun, S., Vaughan, T., Bradley, R., and Heywood, J. (2010). Sharing health data for better outcomes on PatientsLikeMe. Journal of Medical Internet Research, 12(2), e19.\nWiebe, J. M. (1994). Tracking point of view in narrative. Association for Computational Linguistics, 20(2), 233-287.\nYan, L. and Tan, Y. (2014). Feeling blue? Go online: An empirical study of social support among patients. Information Systems Research, 25(4), 690-709.\nYeshua-Katz, D., Rains, S. A., Peterson, E. B., and Wright, K. B. (2020). Digital stigma coping strategies: A meta-analytic review of the association between health-related stigma dimensions and social support messages shared online. The Information Society, 36(1), 19-29.\nZhang, X. and Liu, S. (2022). Understanding relationship commitment and continuous knowledge sharing in online health communities: A social exchange perspective. Journal of Knowledge Management, 26(3), 592-614.\nZhao, H., Wang, J., and Zhang, H. (2022). Influence of social support on individual health knowledge adoption in online diabetes communities: The mediating role between cognition and emotion. Aslib Journal of Information Management, 74(6), 1048-1069.\nZhao, J., Wang, T., and Fan, X. (2015). Patient value co-creation in online health communities: Social identity effects on customer knowledge contributions and membership continuance intentions in online health communities. Journal of Service Management, 26(1), 72-96.\nZhi, Y., Shu, B., Luo, L., and Wang, J. (2022). Gender and linguistic distinctions of information needs in the Chinese context: Conscious and formalized levels. Library and Information Science Research, 44, 101195.; G0110356029; https://nccur.lib.nccu.edu.tw//handle/140.119/146575; https://nccur.lib.nccu.edu.tw/bitstream/140.119/146575/1/602901.pdf

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    Academic Journal

    المؤلفون: 刘洪莲, 张鹏翼, 王军

    المساهمون: 王军 北京大学.信息管理系, 张鹏翼 北京大学.信息管理系, 刘洪莲 北京大学.信息管理系

    المصدر: CSSCI ; 知网

    مصطلحات موضوعية: 多会话网络购物, 信息搜寻行为, 购物网站

    Relation: 现代图书情报技术.2016,1-7.; 1471366; http://hdl.handle.net/20.500.11897/448324

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    Dissertation/ Thesis

    المؤلفون: 劉曉雲, Liu, Hsiao-Yun

    المساهمون: 林左裕, Lin, Tsoyu Calvin

    وصف الملف: 3879540 bytes; application/pdf

    Relation: 中文參考文獻\n\n專書\n1.余清祥、顏貝珊,2016,『大數據知識經濟與實務應用』,台中市:滄海書局。\n2.林左裕,2014,『不動產投資管理』五版,臺北市:智勝文化。\n3.城田真琴著、鐘慧真、梁世英譯,2013,『Big Data 大數據的獲利模式』,臺北市:經濟新潮社。\n4.陳旭昇,2020,『時間序列分析:總體經濟與財務金融之應用』二版,臺北市:東華書局。\n5.楊奕農,2017,『時間序列分析:經濟與財務上之應用』三版,臺北市:雙葉書廊。\n\n期刊論文\n1.余孝先、趙祖佑,2015,「巨量資料應用,打造資料驅動決策的智慧政府」,『國土及公共治理季刊』,3(4):27-37。\n2.花敬群、張金鶚,1997,「住宅市場價量波動之研究」,『住宅學報』,5 (4):1-15。\n3.林左裕、程于芳,2014,「影響不動產市場之從眾行為與總體經濟因素之研究」,『應用經濟論叢』,95:61-99。\n4.林左裕,2018,「從總經因素及大數據分析不動產市場-兼論桃園市住宅市場之分析」,『土地問題研究季刊』,17(4):30-48。\n5.林左裕,2019,「應用網路搜行為預測房地產市場」,『應用經濟論叢』,105:219 - 254。\n6.林秋瑾、黃佩玲,1995,「住宅價格與總體經濟變數關係之研究—以向量自我迴歸模式(VAR)進行實證」,『政治大學學報』,71:143-159。\n7.林秋瑾、王健安、張金鶚,1996,「房地產景氣與總體經濟景氣於時間上領先、同時、落後關係之探討」,『國科會人文及社會科學彙刊』,7(1):35-56。\n8.林進益、林元興,2018,「不動產市場在資訊時代的革新」,『土地問題研究季刊』,17(2):8-18。\n9.林恩從、高斐蘭,1998,「台灣地區房地產景氣與經濟、金融變數之共整合研究」,『東吳大學經濟商學學報』:21-46。\n10.周美伶與張金鶚,2005,「購屋搜期間影響因素之研究」,『管理評論』,24(1):133-150。\n11.梅強、林尚毅,2017,「臺灣總體經濟變數對六都房價之影響分析」,『亞太經濟管理評論』,21(1):33-48。\n12.彭建文、張金鶚,2000,「總體經濟對房地產景氣影響之研究」,『國科會人文及社會科學彙刊』,10(3):330-343。\n13.彭建文,2004,「台灣出租住宅市場與自有住宅市場價格調整關係之研究」,『都市與計劃』,31(4):391-412。\n14.鄭美幸、康信鴻,2002,「台商赴大陸投資與重大非經濟事件對我國房地產景氣的影響」,『住宅學報』,11(2):101-119。\n15.賴碧瑩,2002,「經濟結構轉變後之地價變動分析」,『 臺灣土地研究』,5:1-22。\n\n其他\n桃園市政府,2016,「桃園住宅及不動產資訊網(桃園不動產資訊桃寶網)第七期擴充計畫建置案」。\n\n\n外文參考文獻\n1.Beatty, S. E. and Smith, S. M., 1987, “External Search Effort: An Investigation Across Several Product Categories”, Journal of Consumer Research, 14(1):83-95.\n2.Chen, M. C., Patel, K., 1998,“House Price Dynamics and Granger Causality: An Analysis of Taipei New Dwelling Market,”Journal of Asian Real Estate Society, 1(1):101-126.\n3.Clark, V. and Flowerdew, R., 1982, “A review of search models and their application to search in the housing market",Modelling Housing Market Search :134-159.\n4.Cronin, F. J., 1982, “The Efficiency of Housing Search”, Southern Economic Journal, 48(4): 1016-1030.\n5.Choi, H., and Varian, H., 2012,“Predicting the present with GoogleTrends”, Economic record, 88:2-9.\n6.Clayton, J., Miller., N. and Peng, L., 2008, “Price-volume Correlation in the Housing Market: Causality and Co-movements”, J Real Estate Finance Economics, 40(1):14-40.\n7.Darrat, A. F., Glasock, J. L., 1993, “On the Real Estate Market Efficiency”, Journal of Real Finance Economics, 7:55-72.\n8.D. W. Van Dijk and M. K. Francke., 2018, “Internet Search Behavior, Liquidity and Prices in the Housing Market”, Real Estate Economics, 46(2):368-403.\n9.Erevelles, S., Fukawa, N. and Swayne L., 2016, “Big Data Consumer Analytics and the Transformation of Marketing”, Journal of Business Research, 69(2) :897- 904.\n10.Fu, Y., Ng, L. K., 2001, “Market Efficiency and Return Statistics: Evidence from Real Estate and Stock Markets Using a Present-Value Approach”, Real Estate Economics, 29(2):227-250.\n11.Goel, S., Hofman, J.M., Lahaie, S., Pennock, D. M. and Watts, D. J., 2010, “Predicting Consumer Behavior with Web Search”, PNAS , 107(41).\n12.Hoskins, N., Higgins, D., Cardew, R., 2004, “Macroeconomic Variables and Real Estate Returns: An International Comparison”, Appraisal Journal, 72(2):163-170.\n13.Kulkarni, R., K. Haynes, R. Stough, and J. Paelinck, 2009, “Forecasting Housing Prices with Google Econometrics”, George Mason University School of Public Policy Research Paper, No. 2009-10.\n14.Lin, T. C.and Hsu, S.H.,2020, “Forecasting Housing Markets from Number of Visits toActual Price Registration System”,International Real Estate Review ,23(4): 505-536.\n15.McCue, T. E., Kling, J. L., 1994,“Real Estate Returns and the Macro Economy: Some Empirical Evidence from Real Estate Investment Trust Data”, The Journal of Real Estate Research, 9(3):277-288.\n16.Nelson, P., 1970, “ Information and Consumer Behavior”,Jourmal of Political Economy, 78 (2) :311-329.\n17.Reichert, K. A.,1990, “The Impact of Interest Rates, Income and Employment upon Regional Housing Prices”, Journal of Real Estate Finance and Economics, 3(4):373-391.\n18.Rae, A., 2015, “Online Housing Search and the Geography of Submarkets", Housing studies, 30(3):453-472.\n19.Sims, C. A., 1980, “Macroeconomics and Reality”,Econometrica, 48:1-48.\n20.Stigler, G. J., 1961, “ The Economics of Information”, Journal of Poitical Economy, 69 (3) :213-225.\n21.Safer. A., M., 2002, “ The Application of-Neural Networks to Predict Abnormal Stock Returns Using Insider Trading Data”, Applied Stochastic Models in Business and Industry, 18(4):381-389.\n22.Witkiewicz, W., 2002, “The Use of the HP-filter in Constructing Real Estate Cycle Indicators”, Journal of Real Estate Research, 23(1/2):65-87.\n23.Wu, L, and E. Brynjolfsson, 2015, “The Future of Prediction: How Google Searches Foreshadow Housing Prices and Sales”, in Goldfarb, A., S. M. Greenstein, and C. E. Tucker, ed, Economic Analysis of the Digital Econony, 89-118. Chicago: University of Chicago Press\n\n參考網頁\n1.內政部不動產交易實價查詢服務網:\nhttps://lvr.land.moi.gov.tw/\n2.台灣網路資訊中心網址:https://report.twnic.tw/2020/,取用日期:2021年12月18日。\n3.好時價(House+)網站:https://www.houseplus.tw/,取用日期:2021年12月18日。\n4.好房網News:https://news.housefun.com.tw/tsoyulin/article/205058309176,取用日期:2022年1月31日。\n5.桃寶網網址http://taobao.tycg.gov.tw/Home\n6.國發會網址:https://www.ndc.gov.tw/Content_List.aspx?n=0C669D9634F511BC,取用日期:2022年1月20日。\n7.經濟日報:https://udn.com/news/story/7238/5944969,取用日期:2022年1月31日。; G0105923018; https://nccur.lib.nccu.edu.tw//handle/140.119/139253; https://nccur.lib.nccu.edu.tw/bitstream/140.119/139253/1/301801.pdf

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    Academic Journal
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    Conference

    المؤلفون: 江義平, 江岱衛

    مصطلحات موضوعية: 資訊搜, 行為, 管道, 關鍵字搜

    Relation: 2007台灣科技大學管理新思維學術研討會、台灣科技大學,台灣(2007); http://ir.lib.ntust.edu.tw/handle/987654321/13775; http://ir.lib.ntust.edu.tw/bitstream/987654321/13775/1/keyword categories and search channels.doc

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    Conference
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    Academic Journal

    المؤلفون: 薛堃, 邓素, 王戎疆, 闫凤鸣, 许崇任

    المساهمون: 北京大学生命科学学院

    المصدر: 知网

    Relation: 中国科学(C辑:生命科学).2008,(02),188-198.; 757718; http://hdl.handle.net/20.500.11897/45774

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    Dissertation/ Thesis
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    Dissertation/ Thesis

    المؤلفون: 張筠靄, Chang, Yun-Ai

    المساهمون: 白佩玉, Bai, Pei-Yu

    وصف الملف: 2924347 bytes; application/pdf

    Relation: 一、中文文獻\n[4] 財團法人台灣網路資訊中心 (2019)。2019台灣網路報告。\n[6] Instagram 商業開發團隊(2020)。Instagram Official Website。\nhttps://business.instagram.com/?locale=zh_TW,擷取日期:2020年5月17日。\n[8] Instagram商業發展團隊 (2019)。Instagram結帳功能:提供簡單、方便又安全的購物體驗,Instagram for Business。https://business.instagram.com/blog/new-to-instagram-shopping-checkout?locale=zh_TW ,擷取日期:2020年5月16日。\n[60] 范靜、萬岩、黃柳佳 (2014)。基于刺激-機體-反應_SOR_理論的推薦者社交網站效果研究。Shanghai Manangement Science,36(1),51–54。\n[61] 駱少康、汪志堅、方文昌 (2005)。以訪談法探索線上遊戲消費者購買決策程序與轉換因素。電子商務研究,3 (3),289–308。doi.org/10.29767/ECS.200509.0004\n[65] 張玉魯 (2012)。基于S-O-R模型的服裝網絡購買意願影響因素實證研究。東華大學。\n[66] Philip Kotler (2017)。行銷4.0:新虛實融合時代贏得顧客的全思維。天下雜誌。\n[74] 陳婓 (2009)。深度訪談的障礙及其引導原則。新聞愛好者,1,45–46。\n[75] 李靜 (2011)。深度訪談法在市場調查中的運用。中國集體經濟,12X,30-31。\n[80] Chen, C (2020)。2020年你必須知道的Instagram統計數據,Learning Hub。https://www.hububble.co/blog/2019年你必須知道的instagram統計數據/ ,擷取日期:2020年5月16日。\n[81] HoliBear哈利熊 (2019)。IG行銷系列|2019年你一定要知道的10個Instagram數據。HoliBear哈利熊。https://www.holibear.com/ig行銷系列|2019年你一定要知道的10個instagram數據/#gsc.tab=0,擷取日期:2020年5月16日。\n[82] Molly (2019)。最完整的Instagram購物功能攻略,五大要點告訴你(上)。Medium。https://medium.com/engaged-ai/instagram-shopping-1-c3b59ed0cddc ,擷取日期:2020年5月16日。\n[83] Instagram商業發展團隊 (2018a)。Instagram Stories 與「探索」中購物功能發表。Instagram for Business。https://business.instagram.com/blog/announcing-shopping-in-instagram-stories-and-explore?locale=zh_HK,擷取日期:2020年5月16日。\n[84] Instagram商業發展團隊 (2018a)。宣佈在 Instagram Stories 和「探索」畫面推出購物功能。Instagram for Business。https://business.instagram.com/blog/announcing-shopping-in-instagram-stories-and-explore?locale=zh_TW,擷取日期:2020年5月16日。\n[85] Instagram商業發展團隊 (2018b)。Instagram 購物功能:銷售網路產品。 Facebook for Business。 https://zh-tw.facebook.com/business/instagram/shopping,擷取日期:2020年5月16日。\n[89] 張應征、成新紅 (2010)。電子商務網站中購物車及訂單管理功能設計研究。企業技術開發,29 (21),6–7。\n[91] 葉子華 (2016)。行動廣告形式對使⽤用者接受度與廣告價值之影響 – 以 Instagram官方方廣告為例。淡江大學。\n[107] I-Buzz網路口碑研究中心 (2017)。善用 Instagram 的搜功能,提高商業運用的價值. Dcplus數位行銷實戰家。https://blog.dcplus.com.tw/marketing-knowledge/social_marketing/123539 ,擷取日期:2020年5月16日。\n\n \n二、英文文獻\n[1] Phan, M. (2011). Do Social Media Enhance Consumer’s Perception and Purchase Intentions of Luxury Fashion Brands? Vikalpa: The Journal for Decision Makers, 36 (1), 81–84. doi.org/10.1362/1469347042223445\n[2] Hu, T., Dai, H., & Salam, A. F. (2019). Integrative qualities and dimensions of social commerce: Toward a unified view. Information and Management, 56 (2): 249–270. doi.org/10.1016/j.im.2018.09.003\n[3] Dăniasă, C. I., Tomiţă, V., Stuparu, D., & Stanciu, M. (2010). The Mechanisms of the Influence of Viral Marketing in Social Media. Economics, Management & Financial Markets, 5 (3), 278–282.\n[5] Forrester Research. (2014). Retrieved from https://go.forrester.com/ on May 16, 2020.\n[7] Geyser, W. (2018). Instagram Shopping - Five Things We Know about Shoppable Posts (And One Thing We Don’t). Retrieved from https://influencermarketinghub.com/instagram-shopping-photo-tags/ on May 16, 2020.\n[9] Cheung, C. M. K., Lee, M. K. O., & Rabjohn, N. (2008). The impact of electronic word-of-mouth: The adoption of online opinions in online customer communities. Internet Research, 18 (3), 229–247. doi.org/10.1108/10662240810883290\n[10] Lim, K. H., Sia, C. L., Lee, M. K. O., & Benbasat, I. (2006). Do I trust you online, and if so, will I buy? An empirical study of two trust-building strategies. Journal of Management Information Systems, 23 (2), 233–266. doi.org/10.2753/MIS0742-1222230210\n[11] McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing and validating trust measures for e-commerce: An integrative typology. Information Systems Research, 13 (3), 334–359. doi.org/10.1287/isre.13.3.334.81\n[12] Yadav, M. S., de Valck, K., Hennig-Thurau, T., Hoffman, D. L., & Spann, M. (2013). Social commerce: A contingency framework for assessing marketing potential. Journal of Interactive Marketing, 27 (4), 311–323. doi.org/10.1016/j.intmar.2013.09.001\n[13] Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. Cambridge: MIT Press.\n[14] Oh, J., Fiorito, S. S., Cho, H., & Hofacker, C. F. (2008). Effects of design factors on store image and expectation of merchandise quality in web-based stores. Journal of Retailing and Consumer Services, 15 (4), 237–249. doi.org/10.1016/j.jretconser.2007.03.004\n[15] Parboteeah, D. V., Valacich, J. S., & Wells, J. D. (2009). The influence of website characteristics on a consumer’s urge to buy impulsively. Information Systems Research, 20 (1), 60–78. doi.org/10.1287/isre.1070.0157\n[16] Zhang, H., Lu, Y., Gupta, S., & Zhao, L. (2014). What motivates customers to participate in social commerce? the impact of technological environments and virtual customer experiences. Information and Management, 51(8), 1017–1030. doi.org/10.1016/j.im.2014.07.005\n[17] Park, M. S., Shin, J. K., & Ju, Y. (2014). The Effect of Online Social Network Characteristics on Consumer Purchasing Intention of Social Deals. Global Economic Review, 43(1), 25–41. doi.org/10.1080/1226508X.2014.884047\n[18] Astuti, B., & Putri, A. P. (2018). Analysis on the Effect of Instagram Use on Consumer Purchase Intensity. Review of Integrative Business and Economics Research, 7(2), 24–38.\n[19] Weber, L. (2009). Marketing to the Social Web: How Digital Customer Communities Build Your Business. John Wiley & Sons.\n[20] Zarrella, D. (2010). The Social Media Marketing Book. In O’Reilly Media, Inc.\n[21] Ballantine, P. W., & Stephenson, R. J. (2011). Help Me, I’m Fat! Social Support in Online Weight Loss Networks. Journal of Consumer Behaviour, 10(6), 332–337.\n[22] Chen, J., & Shen, X. L. (2015a). Consumers’ decisions in social commerce context: An empirical investigation. Decision Support Systems, 79, 55–64. doi.org/10.1016/j.dss.2015.07.012\n[23] Chen, J., & Shen, X. L. (2015b). Consumers’ decisions in social commerce context: An empirical investigation. Decision Support Systems, 79, 55–64. doi.org/10.1016/j.dss.2015.07.012\n[24] Hajli, N. (2015). Social commerce constructs and consumer’s intention to buy. International Journal of Information Management, 35(2), 183–191. doi.org/10.1016/j.ijinfomgt.2014.12.005\n[25] Akar, E., & Topçu, B. (2011). An examination of the factors influencing consumers’ attitudes toward social media marketing. Journal of Internet Commerce, 10(1), 35–67. doi.org/10.1080/15332861.2011.558456\n[26] Dennis, C., Morgan, A., Wright, L. T., & Jayawardhena, C. (2010). The influences of social e-shopping in enhancing young women’s online shopping behaviour. Journal of Customer Behaviour, 9(2), 151–174. doi.org/10.1362/147539210x511353\n[27] Srinivasan, N., & Ratchford, B. T. (1991). An Empirical Test of a Model of External Search for Automobiles. Journal of Consumer Research, 18(2), 233–242. doi.org/10.1086/209255\n[28] Cox, T., & Park, J. H. (2014). Facebook marketing in contemporary orthodontic practice: A consumer report. Journal of the World Federation of Orthodontists, 3(2), 43–47. doi.org/10.1016/j.ejwf.2014.02.003\n[29] Haas, J., & Park, J. H. (2012). Management & marketing: orthodontic marketing through online social networks. Journal of Clinical Orthodontics : JCO, 46(3), 159–164.\n[30] Revankar, A. V., & Gandedkar, N. H. (2010). Effective communication in the cyberage. American Journal of Orthodontics and Dentofacial Orthopedics, 137(5), 712–714. doi.org/10.1016/j.ajodo.2009.10.034\n[31] Kumar, S. S. (2015). Product Recommendations over Facebook: The Roles of Influencing Factors to Induce Online Shopping. Asian Social Science, 11(2). doi.org/10.5539/ass.v11n2p202\n[32] Csikszentmihalyi, M. (1975). Beyond boredom and anxiety. USA: Jossey-Bass.\n[33] Webster, J., Trevino, L. K., & Ryan, L. (1993). The dimensionality and correlates of flow in human-computer interactions. Computers in Human Behavior, 9(4), 411–426.\n[34] Koufaris, M. (2002). Applying the Technology Acceptance Model and flow theory to online Consumer Behavior. Information Systems Research, 13(2), 205–223. doi.org/10.1287/isre.13.2.205.83\n[35] Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of Marketing, 60(3), 50–68\n[36] Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of Marketing, 60(3), 50–68.\n[37] Mollen, A., & Wilson, H. (2010). Engagement, telepresence and interactivity in online consumer experience: reconciling scholastic and managerial perspectives. J. Bus. Res., 63(9), 919–925.\n[38] Teng, C. I., Huang, L. S., Jeng, S. P., Chou, Y. J., & Hu, H. H. (2012). Who may be loyal? Personality, flow experience and customer e-loyalty. International Journal of Electronic Customer Relationship Management, 6(1), 20–47. doi.org/10.1504/IJECRM.2012.046468\n[39] Korzaan, M. L. (2003). Going with the flow: Predicting online purchase intentions. Journal of Computer Information Systems, 43(4), 25–31. doi.org/10.1080/08874417.2003.11647530\n[40] Eroglu, S. A., Machleit, K. A., & Davis, L. M. (2003). Empirical testing of a model of online store atmospherics and shopper responses. Psychology & Marketing, 20(2), 139–150.\n[41] Gao, L., & Bai, X. (2014). Online consumer behaviour and its relationship to website atmospheric induced flow: Insights into online travel agencies in China. Journal of Retailing and Consumer Services, 21(4), 653–665. doi.org/10.1016/j.jretconser.2014.01.001\n[42] Richard, M. O. (2005). Modeling the impact of internet atmospherics on surfer behavior. Journal of Business Research, 58(12), 1632–1642.\n[43] Richard, M. O., Chebat, J. C., Yang, Z., & Putrevu, S. (2010). A proposed model of online consumer behavior: Assessing the role of gender. Journal of Business Research, 63 (9), 926–934.\n[44] Mazaheri, E., Richard, M. O., Laroche, M., & Ueltschy, L. C. (2014). The influence of culture, emotions, intangibility, and atmospheric cues on online behavior. Journal of Business Research, 67(3), 253–259.\n[45] Chen, Q., & Wells, W. . (1999). Attitude toward the site. Journal of Advertising Research, 39(5), 27–37.\n[46] Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: an introduction to theory and research. Reading, MA: Addison-Wesley.\n[47] Ajzen, Icek. (1985). From Intentions to Actions: A Theory of Planned Behavior. In In J. Kuhl, & J. Beckmann (Eds.), Action control: From cognition to behavior. Springer Berlin Heidelberg. doi.org/10.1007/978-3-642-69746-3_2\n[48] Kim, J.-I., Lee, H. C., & Kim, H. J. (2004). Factors affecting online search intention and online purchase intention. Seoul Journal of Business, 10(2), 28–48.\n[49] Putri, J. W. (2015). Factors Affecting Customers Online Search Intention and Online Purchase Intention using Social Networks : Case Study of Online Shop on Instagram. IBuss Management, 3(2), 232–240.\n[50] Schiffman, W. L., & Kaunk, L. L. (2000). Consumer behavior. New Jersey: Prentice-Hall.\n[51] Braun-Latour, K. A., & Zaltman, G. (2006). Memory change: an intimate measure of persuasion. Journal of Advertising Research, 46, 57–72.\n[52] Pöyry, E., Parvinen, P., & Malmivaara, T. (2013). Can we get from liking to buying? Behavioral differences in hedonic and utilitarian Facebook usage. Electronic Commerce Research and Applications, 12(4), 224–235. doi.org/10.1016/j.elerap.2013.01.003\n[53] Hu, X., Huang, Q., Zhong, X., Davison, R. M., & Zhao, D. (2016). The influence of peer characteristics and technical features of a social shopping website on a consumer’s purchase intention. International Journal of Information Management, 36 (6), 1218–1230. doi.org/10.1016/j.ijinfomgt.2016.08.005\n[54] Curty, R. G., & Zhang, P. (2011). Social commerce: Looking back and forward. Proceedings of the American Society for Information Science and Technology, 48(1), 1–10. doi.org/10.1002/meet.2011.14504801096\n[55] Liang, T. P., & Turban, E. (2011). Introduction to the special issue social commerce: A research framework for social commerce. International Journal of Electronic Commerce, 16(2), 5–13. doi.org/10.2753/JEC1086-4415160201\n[56] Olbrich, R., & Holsing, C. (2011). Modeling consumer purchasing behavior in social shopping communities with clickstream data. International Journal of Electronic Commerce, 16(2), 15–40. doi.org/10.2753/JEC1086-4415160202\n[57] Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. In Englewood Cliffs, NY Prentice Hall (Vol. 278).\n[58] Donovan, R., & Rossiter, J. (1982). Store atmosphere: an environmental psychology approach. Journal of Retailing, 58(1), 34–57.\n[59] Bagozzi, R. P. (n.d.). Principles of marketing management.\n[62] Fredricks, A. J., & Dossett, D. L. (1983). Attitude-behavior relations: A comparison of the Fishbein-Ajzen and the Bentler-Speckart models. Journal of Personality and Social Psychology, 45(3), 501–512. doi.org/10.1037/0022-3514.45.3.501\n[63] Klaus, P. (2013). The case of Amazon.com: Towards a conceptual framework of online customer service experience (OCSE) using the emerging consensus technique (ECT). Journal of Services Marketing, 27(6), 443–457. doi.org/10.1108/JSM-02-2012-0030\n[64] Chopdar, P. K., & Balakrishnan, J. (2020). Consumers response towards mobile commerce applications: S-O-R approach. International Journal of Information Management, 53. doi.org/10.1016/j.ijinfomgt.2020.102106\n[67] DW, J. (1973). Consumer Behavior – Engle, JF, Kollat, DT and Blackwell, RD Journalism Quarterly, 50(4), 780–780. doi.org/Communication\n[68] Zhang, K. Z. K., & Benyoucef, M. (2016a). Consumer behavior in social commerce: A literature review. Decision Support Systems, 86, 95–108. doi.org/10.1016/j.dss.2016.04.001\n[69] Zhang, K. Z. K., & Benyoucef, M. (2016b). Consumer behavior in social commerce: A literature review. Decision Support Systems, 86, 95–108. doi.org/10.1016/j.dss.2016.04.001\n[70] Kang, J.-Y. M., & Johnson, K. K. P. (2013). How does social commerce work for apparel shopping? Apparel social e-shopping with social network storefronts. Journal of Customer Behaviour, 12(1), 53–72. doi.org/10.1362/147539213x13645550618524\n[71] Kang, J. Y. M., Johnson, K. K. P., & Wu, J. (2014). Consumer style inventory and intent to social shop online for apparel using social networking sites. Journal of Fashion Marketing and Management, 18(3), 301–320. doi.org/10.1108/JFMM-09-2012-0057\n[72] Bellinger, D. N., Bernhardt, K. L., & Goldstucker, J. L. (1976). Qualitative Marketing Research. Chicago: American Marketing Association.\n[73] Dey, I. (1993). Qualitative Data Analysis. London: Routledge.\n[76] Dworkin, S. L. (2012). Sample size policy for qualitative studies using in-depth interviews. Archives of Sexual Behavior, 41(6), 1319–1320. doi.org/10.1007/s10508-012-0016-6\n[77] Gwinner, K. P., Gremler, D. D., & Bitner, M. J. (1998). Relational benefits in services industries: The customer’s perspective. Journal of the Academy of Marketing Science, 26(2), 101–114. doi.org/10.1177/0092070398262002\n[78] Lavrakas, P. (2013). Pew Research Center. Encyclopedia of Survey Research Methods. doi.org/10.4135/9781412963947.n376\n[79] Mohsin, M. (2020). 10 Instagram Stats Every Marketer Should Know in 2020 [Infographic]. Oberlo. Retrived from https://www.oberlo.com/blog/instagram-stats-every-marketer-should-know on May 16, 2020.\n[86] Brown, J. J., & Reingen, P. H. (1987). Social ties and word-of-mouth referral behavior. Journal of Consumer Research, 14(3), 350–362. doi.org/10.1093/benz/9780199773787.article.b00027383\n[87] Wang, J. C., & Chang, C. H. (2013). How online social ties and product-related risks influence purchase intentions: A Facebook experiment. Electronic Commerce Research and Applications, 12(5), 337–346. doi.org/10.1016/j.elerap.2013.03.003\n[88] Wu, L.-R., & Li, S.-M. (2018). The Study of Tie Strength, Perceived Diagnosticity and Flow to Consumer Behavior Intention - The Case of Facebook. Journal of E-Business, 20(2), 189–216.\n[90] Mathwick, C., & Rigdon, E. (2004). Play, Flow, and the Online Search Experience. Journal of Consumer Research, 31(2), 324–332. doi.org/10.1086/422111\n[92] Lu, H. P., & Su, P. Y. J. (2009). Factors affecting purchase intention on mobile shopping web sites. Internet Research, 19 (4), 442–458. doi.org/10.1108/10662240910981399\n[93] Wong, C. H., Tan, G. W. H., Tan, B. I., & Ooi, K. B. (2015). Mobile advertising: The changing landscape of the advertising industry. Telematics and Informatics, 32(4), 720–734. doi.org/10.1016/j.tele.2015.03.003\n[94] Jiang, Z., & Benbasat, I. (2004). Virtual Product Experience: Effects of Visual and Functional Control of Products on Perceived Diagnosticity and Flow in Electronic Shopping. Journal of Management Information Systems, 21(3), 111–147. doi.org/10.2139/ssrn.1400827\n[95] Mikalef, P., Giannakos, M., & Pateli, A. (2013). Shopping and Word-of-Mouth Intentions on Social Media. 8, 17–34. doi.org/10.4067/S0718-18762013000100003\n[96] Wolfinbarger, M., & Gilly, M. C. (2001). Shopping online for freedom, control, and fun. California Management Review, 2, 34–55. doi.org/10.2307/41166074\n[97] Kourouthanassis, P. E., Giaglis, G. M., & Vrechopoulos, A. P. (2007). Enhancing user experience through pervasive information systems: The case of pervasive retailing. 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  16. 16
    Dissertation/ Thesis

    المؤلفون: 鍾之琦, Chung, Chih-Chi

    المساهمون: 林左裕, Lin, Tso-Yu

    وصف الملف: 6944051 bytes; application/pdf

    Relation: 參考文獻\n一、 中文文獻\n王信達,2010,「從兩岸總體經濟環境探討臺北市與上海市辦公市場租金影響之實證分析」,淡江大學中國大陸研究所碩士論文:臺北市。\n林左裕,2019,「應用網路搜行為預測房地產市場」,『應用經濟論叢』,105 :219-254。\n林左裕、程于芳,2014,「影響不動產市場之從眾行為與總體經濟因素之研究」,『應用經濟論叢』,95:61-99。\n周美伶,2005,「購屋者外部資訊搜管道選擇行為與搜期間之探討」,『住宅學報』,14(2):1-25。\n周美伶、張金鶚,2005,「購屋搜期間影響因素之研究」,『管理評論』,24:133-150。\n曾翊偉、黃名義、張金鶚,2000,「租戶結構對辦公大樓租金與空置率之影響」,『都市與計畫』,37(4):481-500。\n黃智聰、梁儀盈(2013),計量經濟學(原著R. Carter Hill, William E. Griffiths, Guay C. Lim)。臺北:雙葉書廊有限公司。\n張譯之,2005,「臺北市辦公不動產要價租金衡量因素之探討」,國立臺北大學不動產城鄉研究所碩士論文:新北市。\n張曉慈,2000,「影響不動產報酬波動性之總體經濟因素」,國立政治大學地政研究所碩士論文:臺北市。\n楊奕農,時間序列分析-經濟與財務之應用,二版,雙葉書廊有限公司,民國九十八年。\n廖仲仁、張金鶚,2004,「搜成本與定錨效果對於購屋者價格貼水之影響」,『住宅學報』,13(2):47-62。\n薄有為,2011,「臺北市辦公大樓市場租金與總體經濟因素關聯性之研究─應用時間序列分析方法」,逢甲大學土地管理學系碩士在職專班碩士論文。\n\n二、 英文文獻\nBeracha, E., Wintoki, M.B., 2013, Forecasting Residential Real Estate Price Changes From Online Search Activity , Journal of Real Estate Research, 35 (3).\nChoi, H. and Varian, H., 2012, Predicting the Present with Google Trends, The Economic Record, 88(1), 2-9.\nCornin, F. J., 1982, The Efficiency of Housing Search, Southern Economic Journal, 48(4), 1016-1030.\nDarrat, Ali F., and John Glascock L., 1993, On the Real Estate Market Efficiency., The Journal of Real Estate Finance and Economics, 7(1), 55-72.\nDe Francesco, A. J., 2008, Time-series Characteristics and Long-run Equilibrium for Major Australian Office Markets, Real Estate Economics, 36(2), 371-402.\nDemchenko Y., Grosso P., De Laat C., Membrey P., 2013, Addressing Big Data Issues in Scientific Data Infrastructure, International Conference on Collaboration Technologies and Systems (CTS), San Diego, CA, 2013, 48-55\nDietzel, M. A., Braun, N., Schäfers, W., 2014, Sentiment-based Commercial Real Estate Forecasting with Google Search Volume Data. Journal of Property Investment & Finance, 36(6), 540-569.\nDietzel, M.A., 2016, Sentiment-based predictions of housing market turning points with Google trends, International Journal of Housing Markets and Analysis, Vol. 9 No. 1, 108-136.\nHenig, S., Tsolacos, S. and Nanda, A., 2019, Which sentiment indicators matter? An analysis of the European commercial real estate market. Journal of Real Estate Research.\nHohenstatt, R., M. Kasbauer, and W. Schaffers, ‘‘Geco’’ and its Potential for Real Estate Research: Evidence from the U.S. Housing Market, Journal of Real Estate Research, 2011, 33(4), 471-506.\nGinsberg, J., Mohebbi, M. H., Patel, R. S., Brammer, L., Smolinski, M. S. and Brilliant, L., 2009, Detecting Influenza Epidemics Using Search Engine Query Data, Nature., 457(7232), 1012-1014.\nJin, C., Soydemir, G. and Tidwell, A., 2014, The US Housing Market and the Pricing of Risk: Fundamental Analysis and Market Sentiment”, Journal of Real Estate Research, 36(2), 187-216.\nJun, S., Yoo, H., & Choi, S., 2018, Ten years of research change using Google Trends: From the perspective of big data utilizations and applications. Technological Forecasting and Social Change, 130, 69–87.\nJurgilas, M. and Lansing, K.J., 2012, Housing Bubbles and Expected Returns to Homeownership: Lessons and Policy Implications, Working Paper. http//ssrn.com/abstract=2209719, 2013.\nKulkarni, Rajendra and Haynes, Kingsley E. and Stough, Roger R. and Paelinck, Jean H. P., Forecasting Housing Prices with Google Econometrics. GMU School of Public Policy Research Paper No. 2009-10.\nLee, J. and M. C. Strazicich, 2003, Minimum Lagrange Multiplier Unit Root Test with Two Structural Breaks, Review of Economics and Statistics, 85, 1082-1089.\nNelson, P., 1970, Information and Consumer Behavior, Journal of Political Economy, 78 (2), 311-329.\nNg, B. F. and Higgins, D., 2007, Modelling the commercial property market: an empirical study of the Singapore office market, Pacific Rim Property Research Journal, 13, 176-193.\nPreis, T., Moat, H. S. and Stanley, E., 2013, Quantifying trading behavior in financial markets using Google trends, Nature Scientific Reports, 3, 1684, 1-6.\nRangaswamy, A., Giles, C. L., Seres, S., 2009, A strategic perspective on search engines: Thought candies for practitioners and researchers. Journal of Interactive Marketing, 23, 49–60.\nRochdi, K. and Dietzel, M. (2015), Outperforming the benchmark: online information demand and REIT market performance. Journal of Property Investment & Finance, Vol. 33 ,No. 2, 169-195.\nPalm, R., 1976, Real estate agents and geographical information, Geographical Review, 66, 266–280.\nRae, A., 2015, Online Housing Search and the Geography of Submarkets, Housing Studies, 30 (3), 453-472.\nSchmidt, J. B. and Spreng, R.A., 1996,“A Proposed Model of External Consumer Information Search”, Journal of the Academy of Marketing Science, 1996, 24(3), 246-256\nShiller, R. J., 2007, Understanding Recent Trends in House Prices and Home Ownership, Paper Presented at the Federal Reserve Bank of Kansas City’s Jackson Hole Symposium, Kansas, 31 August – 1 September.\nStravroski, B., 2004, Designing a New E-business Model for a Commercial Real Estate Enterprise: A Case Study, Online Information Review, 28 (2), 110-119.\nTierney, H. L. R. and Pan, B., 2012, A Poisson Regression Examination of the Relationship Between Website Traffic and Search Engine Queries, Netnomics: Economic Research and Electronic Networking, 13(3), 155-189.\nWu, L., and Brynjolfsson, E., 2015, The Future of Prediction: How Google Aearches Foreshadow Housing Prices and Sales. Technical report.\nYung K.,Nafar N., 2017, Investor attention and the expected returns of reits, International Review of Economics and Finance, 48 , 423-439.\nZumpano, L.V., Johnson, K.H. and Anderson, R.I., 2003, Internet Use and Real Estate Brokerage Market Intermediation, Journal of Housing Economics, 12(2), 134-51.\n\n三、 網頁資料\n1. Google Trends(2019),How is the data derived?. Retrieved December1, 2019 from Google on the World Wide Web:http://support.google.com/trends/bin/answer.py?hl=en&answer=92768&topic=13975&ctx=topic\n2. Google Trends(2019),How is the data scaled?. Retrieved December1, 2019 from Google on the World Wide Web: http://support.google.com/trends/bin/answer.py?hl=en&answer=87282&topic=13975&ctx=topic\n3. Google Trends(2019),Is the data normalized?. Retrieved December1, 2019 from Google on the World Wide Web: http://support.google.com/trends/bin/answer.py?hl=en&answer=87284&topic=13975&ctx=topic.\n; G0107257023; https://nccur.lib.nccu.edu.tw//handle/140.119/131170; https://nccur.lib.nccu.edu.tw/bitstream/140.119/131170/1/702301.pdf

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