政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/136023
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  全文笔数/总笔数 : 113311/144292 (79%)
造访人次 : 50933095      在线人数 : 1000
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧：
  • 您可在西文检索词汇前后加上"双引号"，以获取较精准的检索结果
  • 若欲以作者姓名搜寻，建议至进阶搜寻限定作者字段，可获得较完整数据
    •  进阶搜寻


    请使用永久网址来引用或连结此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/136023


    题名: 影響Facebook和Instagram上的社群商務意圖因素有哪些
    Factors influencing Social Commerce Intention on Facebook and Instagram
    作者: 顧穎萱
    Gu, Ying-Xuan
    贡献者: 洪叔民
    顧穎萱
    Gu, Ying-Xuan
    关键词: 社群商務意圖
    Social commerce intention
    Facebook
    Instagram
    日期: 2021
    上传时间: 2021-07-01 21:27:26 (UTC+8)
    摘要: 近幾年，零售業成長中，尤其是電子商務快速崛起，成長幅度遠大於零售成長幅度，且消費者改變消費習慣及模式，加上科技進步，手機和隨身電腦便利，消費者開始使用手機及電腦網購下單，隨之而來的是，社群媒體也作為商家們推廣產品的地方，會在社群媒體建立粉絲團提供產品資訊，也促進消費者提供及接受產品資訊，eWOM也成為影響社群商務的重要因素之一，而消費者在社群上的個人及社會因素也成為影響社群商務意圖的因素。
    本研究以量化研究方式，以台灣使用過社群商務的對象進行研究，因Facebook及Instagram是台灣使用率最高的兩大社群媒體平台，因此問卷主要針對這兩大平台的使用，本研究將社群商務意圖(SCI)再分為SCI接收行為及SCI給予行為，並將影響之因素分為五大構面及十八個項目，分別為個人因素、社會因素、信任、服務品質及科技接受度，分別探討此十八個項目的影響，其中，再加上干擾變數，探討在兩個不同社群媒體平台的環境下，這十八個項目對社群商務意圖的影響會如何改變。
    研究結果發現，樂趣、利他行為、互惠性、結合型社會資本、橋接型社會資本、資訊支持、對社群媒體的信任、服務內容及兩個不同的社群媒體皆對社群商務意圖有正向顯著影響。利他行為、互惠性、結合型社會資本、橋接型社會資本、資訊支持、對社群媒體的信任、服務內容及兩個不同的社群媒體皆對社群商務意圖的接收行為有正向顯著影響。樂趣、利他行為、互惠性、橋接型社會資本、對社群媒體的信任及服務內容皆對社群商務意圖有正向顯著影響。
    In recent years, the growth of the retail industry, especially the rapid rise of e-commerce, and the growth rate are far greater than the growth rate of retail. Consumers change their consumption habits and patterns. With the evolution of science and technology and the convenience of mobile phones and portable computers, consumers began to use mobile phones and computers to shop online.
    Social media has also become a platform for marketers to promote their products. Store owners will build fan groups in social media to provide product information, and also promote product information to consumers and collect information from them. Therefore, EWOM has become one of the important factors affecting social commerce intention. The individual and social factors of consumers in the community also become the factors that affect the social commerce intention.
    The purpose of this study is to quantify the use of social commerce in Taiwan. Since Facebook and Instagram are the two most popular social media platforms in Taiwan, the questionnaire mainly focuses on the use of these two platforms. This study divides social commerce intention (SCI) into SCI receiving behavior and SCI giving behavior. The influencing factors were divided into 5 dimensions and 18 items, which were a personal factor, social factor, trust, service quality, and technology acceptance. This study will examine the impact of each of the 18 factors. In addition to the interference variables, explore how these 18 factors influence and change the social commerce intention across two different social media platforms.
    The results show that fun, altruistic behavior, reciprocity, associative social capital, bridging social capital, information support, trust in social media, service content, and two different social media all have a positive and significant effect on social commerce intention. Altruism, reciprocity, associative social capital, bridging social capital, information support, trust in social media, service content, and two different social media all have a positive and significant effect on the receiving behavior of social commerce intention. Fun, altruistic behavior, reciprocity, bridging social capital, trust in social media, and service content all have a positive and significant effect on social commerce intention.
    參考文獻: 一、 中文文獻
    2019台灣網路報告 （民國108年）【資料檔】。台北市：財團法人台灣網路資訊中心。 https://report.twnic.tw/2019/assets/download/TWNIC_TaiwanInternetReport_2019_CH.pdf
    「宅經濟」發酵，帶動網路銷售額成長（民國108年）【資料檔】。台北市：經濟部統計處
    https://www.moea.gov.tw/Mns/dos/bulletin/Bulletin.aspx?kind=9&html=1&menu_id=18808&bull_id=7590

    二、 英文文獻
    Absolunet (2019). 10 ecommerce trends 2019. https://2019.10ecommercetrends.com/
    Adler, P. S., & Kwon, S. W. (2002). Social capital: Prospects for a new concept. Academy of Management Review, 27(1), 17-40.
    Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
    Ba, S., & Pavlou, P. A. (2002). Evidence of the effect of trust building technology in electronic markets: Price premiums and buyer behavior. MIS Quarterly, 26(3), 243– 268.
    Ba, S., Stallaert, J., & Whinston, A. B. (2001). Research commentary: introducing a third dimension in information systems design—the case for incentive alignment. Information Systems Research, 12(3), 225-239.
    Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94.
    Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215.
    Barria, C. (2014). Facebook, twitter to unveil ‘buy button’for online shopping, in: AFP, Reuters Paris, France. Retrieved April 25, 2014 from http://rt.com/news/193272-facebook-twitter-shopping-buy/
    Bock, G. W., & Kim, Y. G. (2002). Breaking the myths of rewards: An exploratory study of attitudes about knowledge sharing. Information Resources Management Journal (IRMJ), 15(2), 14-21.
    Chang, H. L., Chou, Y. C., Wu, D. Y., & Wu, S. C. (2018). Will firm`s marketing efforts on owned social media payoff? A quasi-experimental analysis of tourism products. Decision Support Systems, 107, 13-25.
    Chen, J. V., Yen, D. C., Pornpriphet, W., & Widjaja, A. E. (2015). E-commerce web site loyalty: A cross cultural comparison. Information Systems Frontiers, 17(6), 1283-1299.
    Chen, J., & Shen, X. L. (2015). Consumers` decisions in social commerce context: An empirical investigation. Decision Support Systems, 79, 55-64.
    Chu, S. C., & Kim, Y. (2011). Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites. International Journal of Advertising, 30(1), 47-75.
    Comrey, A.L. (1973). A first course in factor analysis. New York, Academic Press.
    Constant, D., Sproull, L., & Kiesler, S. (1996). The kindness of strangers: The usefulness of electronic weak ties for technical advice. Organization Science, 7(2), 119-135.
    Dai, H., & Salam, A. F. (2014). Does service convenience matter? An empirical assessment of service quality, service convenience and exchange relationship in electronic mediated environment. Electronic Markets, 24(4), 269-284.
    Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319-340.
    Davis, F. D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38(3), 475-487.
    Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982-1003.
    Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace1. Journal of Applied Social Psychology, 22(14), 1111-1132.
    Dennison, G., Bourdage-Braun, S., Chetuparambil, M. (2009). Social commerce defined. White Paper, in, IBM Systems Technology Group, Research Triange Park, NC.
    Ernst, C. P. H., Pfeiffer, J., & Rothlauf, F. (2013). Hedonic and utilitarian motivations of social network site adoption. Johannes Gutenberg University Mainz: Working Papers in Information Systems and Business Administration, 1-14.
    Fang, Y. H., & Chiu, C. M. (2010). In justice we trust: Exploring knowledge-sharing continuance intentions in virtual communities of practice. Computers in Human Behavior, 26(2), 235-246.
    Farivar, S., Turel, O., & Yuan, Y. (2018). Skewing users’ rational risk considerations in social commerce: An empirical examination of the role of social identification. Information & Management.
    Fassnacht, M., & Koese, I. (2006). Quality of electronic services: Conceptualizing and testing a hierarchical model. Journal of Service Research, 9(1), 19-37.
    Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An Introduction to Theory and Research.
    Fisher, R. J., & Ackerman, D. (1998). The effects of recognition and group need on volunteerism: A social norm perspective. Journal of Consumer Research, 25(3), 262-275.
    Fukuyama, F. (1995). Trust: The Social Virtues & the Creation of Prosperity, New York: Free Press.
    Gefen, D., Karahanna, E., & Straub, D. W. (2003). Inexperience and experience with online stores: The importance of TAM and trust. IEEE Transactions on Engineering Management, 50(3), 307-321.
    Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51-90.
    Gefen, D., Straub, D., & Boudreau, M. C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of The Association for Information Systems, 4(1), 7.
    Gottlieb, B. H., & Bergen, A. E. (2010). Social support concepts and measures. Journal of Psychosomatic Research, 69(5), 511-520.
    Granovetter, M. S. (1977). The strength of weak ties. Social networks (pp. 347-367). Academic Press.
    Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139-152.
    Hair, J.F., W.C. Black, B.J. Babin, and R.E. Anderson (2010). Multivariate data analysis (7th ed.). NJ, Englewood Cliffs, NJ, Prentice Hall.
    Hajli, N. (2015). Social commerce constructs and consumer`s intention to buy. International Journal of Information Management, 35(2), 183-191.
    Hajli, N. (Ed.). (2015). Handbook of research on integrating social media into strategic marketing. IGI Global.
    Hajli, N., Sims, J., Zadeh, A. H., & Richard, M. O. (2017). A social commerce investigation of the role of trust in a social networking site on purchase intentions. Journal of Business Research, 71, 133-141.
    Han, B. O., & Windsor, J. (2011). User`s willingness to pay on social network sites. Journal of Computer Information Systems, 51(4), 31-40.
    Harman, H. H. (1976). Modern factor analysis. University of Chicago press.
    Haythornthwaite, C. (2005). Social networks and Internet connectivity effects. Information, Community & Society, 8(2), 125-147.
    Hennig-Thurau, T., and Walsh, G. (2003). Electronic word-of-mouth: Motives for and consequences of reading customer articulations on the internet, International Journal of Electronic Commerce, 8(2), 51-74.
    Hennig-Thurau, T., Gwinner, K.P. Walsh, G. and Gremler, D.D. (2004). Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the internet? Journal of Interactive Marketing, 18(1), 38-52.
    Hoffman, D. L. & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of Marketing. 60(3), 50-68.
    Horng, S. M. (2016). A study of active and passive user participation in virtual communities. Journal of Electronic Commerce Research, 17(4).
    Horng, S. M., and Wu, C-L. (2018). How behaviors on social network sites and online social capital influence social commerce intentions, Working Paper.
    Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: A multidisciplinary journal, 6(1), 1-55.
    Hu, M., Zhang, M., & Luo, N. (2016). Understanding participation on video sharing communities: The role of self-construal and community interactivity. Computers in Human Behavior, 62, 105-115.
    Kalman, M. E. (1999). The effects of organizational commitment and expected outcomes on the motivation to share discretionary information in a collaborative database: communication dilemmas and other serious games (Doctoral dissertation, University of Southern California).
    Kankanhalli, A., Tan, B. C., & Wei, K. K. (2005). Contributing knowledge to electronic knowledge repositories: an empirical investigation. MIS Quarterly, 113-143.
    Kim, D. J., Song, Y. I., Braynov, S. B., & Rao, H. R. (2005). A multidimensional trust formation model in B-to-C e-commerce: a conceptual framework and content analyses of academia/practitioner perspectives. Decision Support Systems, 40(2), 143-165.
    Kim, S., & Park, H. (2013). Effects of various characteristics of social commerce (s- commerce) on consumers’ trust and trust performance. International Journal of Information Management, 33(2), 318-332.
    Ko, H. C. (2018). Social desire or commercial desire? The factors driving social sharing and shopping intentions on social commerce platforms. Electronic Commerce Research and Applications, 28, 1-15.
    Koh, J. and Kim, Y.-G. (2003). Sense of virtual community: A conceptual framework and empirical validation, International Journal of Electronic Commerce, 8(2), 75-93.
    Kollock, P. (1999). The economies of online cooperation. Communities in Cyberspace, 220-339.
    Kozinets, R. V., De Valck, K., Wojnicki, A. C., & Wilner, S. J. (2010). Networked narratives: Understanding word-of-mouth marketing in online communities. Journal of marketing, 74(2), 71-89.
    Lakhani, K. R., & Von Hippel, E. (2003). How open source software works: “free” user-to-user assistance. Research Policy, 32(6), 923–943.
    Lal, P. (2017). Analyzing determinants influencing an individual’ s intention to use social commerce website. Future Business Journal, 3(1), 70-85.
    Li, M. N. (2006). An introduction to Amos and its uses in scale development: Graphics & basic. Taipei: Psychoco.
    Liang, T. P., Ho, Y. T., Li, Y. W., & Turban, E. (2011). What drives social commerce: The role of social support and relationship quality. International Journal of Electronic Commerce, 16(2), 69-90.
    Lin, J., Yan, Y., & Chen, S. (2017). Understanding the impact of social commerce website technical features on repurchase intention: a Chinese guanxi perspective. Journal of Electronic Commerce Research, 18(3), 225.
    Lin, N. (2002). Social capital: A theory of social structure and action (Vol. 19). Cambridge University Press.
    Liu, Y., & Shrum, L. J. (2002). What is interactivity and is it always such a good thing? Implications of definition, person, and situation for the influence of interactivity on advertising effectiveness. Journal of Advertising, 31(4), 53-64.
    Ma, W. W., & Chan, A. (2014). Knowledge sharing and social media: Altruism, perceived online attachment motivation, and perceived online relationship commitment. Computers in Human Behavior, 39, 51-58.
    Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An integrative model of organizational trust. Academy of Management Review, 20(3), 709-734.
    McConnell, K. E. (1997). Does altruism undermine existence value?. Journal of Environmental Economics and Management, 32(1), 22-37.
    McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). The impact of initial consumer trust on intentions to transact with a web site: a trust building model. The Journal of Strategic Information Systems, 11(3-4), 297-323.
    McKnight, D. H., Cummings, L. L., & Chervany, N. L. (1998). Initial trust formation in new organizational relationships. Academy of Management Review, 23(3), 473- 490.
    McKnight, D.H., Choudhury, V. and Kacmar, C. (2002), Developing and validating trust measures for e-commerce: An integrative typology. Information Systems Research, 13(3), 334-359.
    Mouakket, S. (2015). Factors influencing continuance intention to use social network sites: The Facebook case. Computers in Human Behavior, 53, 102-110.
    Nahapiet, J., & Ghoshal, S. (1998). Social capital, intellectual capital, and the organizational advantage. Academy of Management Review, 23(2), 242-266.
    Nakamura, J., & Csikszentmihalyi, M. (2009). Flow theory and research. Handbook of Positive Psychology, 195-206.
    Novak, T. P., Hoffman, D. L., & Yung, Y. F. (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing Science, 19(1), 22-42.
    Ou, C. X., Pavlou, P. A., & Davison, R. M. (2014). Swift guanxi in online marketplaces: The role of computer-mediated communication technologies. MIS Quarterly, 38(1), 209-230.
    Olenski, S. (2012), Are brands wielding more influence in social media than we thought? Retrieved Dec. 20 2018 from: https://www.forbes.com/sites/marketshare/2012/05/07/are-brands-wielding-more-influence-in-social-media-than-we-thought/#72ac731c71e1
    Osatuyi, B., & Qin, H. (2018). How vital is the role of affect on post-adoption behaviors? An examination of social commerce users. International Journal of Information Management, 40, 175-185.
    Park, D. H., Lee, J., & Han, I. (2007). The effect of on-line consumer reviews on consumer purchasing intention: The moderating role of involvement. International Journal of Electronic Commerce, 11(4), 125-148.
    Pelaprat, E., & Brown, B. (2012). Reciprocity: Understanding online social relations. First Monday, 17(10).
    Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879.
    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.
    Putnam, R. D. (2000). Bowling alone: The collapse and revival of American community. New York: Simon and Schuster.
    Qiu, L., & Benbasat, I. (2005). An investigation into the effects of Text-To-Speech voice and 3D avatars on the perception of presence and flow of live help in electronic commerce. ACM Transactions on Computer-Human Interaction (TOCHI), 12(4), 329-355.
    Ramayah, T., & Ignatius, J. (2005). Impact of perceived usefulness, perceived ease of use and perceived enjoyment on intention to shop online. ICFAI Journal of Systems Management (IJSM), 3(3), 36-51.
    Ridings, C. M., & Gefen, D. (2004). Virtual community attraction: Why people hang out online. Journal of Computer-mediated Cmmunication, 10(1), JCMC10110.
    Ridings, C. M., Gefen, D., & Arinze, B. (2002). Some antecedents and effects of trust in virtual communities. The Journal of Strategic Information Systems, 11(3-4), 271- 295.
    Schaefer, C., Coyne, J. C., & Lazarus, R. S. (1981). The health-related functions of social support. Journal of Behavioral Medicine, 4(4), 381-406.
    Schurr, P. H., & Ozanne, J. L. (1985). Influences on exchange processes: Buyers` preconceptions of a seller`s trustworthiness and bargaining toughness. Journal of Consumer Research, 11(4), 939–953.
    Shen, X. L., Li, Y. J., Sun, Y., Chen, Z., & Wang, F. (2018). Understanding the role of technology attractiveness in promoting social commerce engagement: Moderating effect of personal interest. Information & Management.
    Shiau, W. L., & Chau, P. Y. (2015). Does altruism matter on online group buying? Perspectives from egotistic and altruistic motivation. Information Technology & People.
    Shin, D. H. (2013). User experience in social commerce: in friends we trust. Behaviour & Information Technology, 32(1), 52-67.
    Simon, Kemp (2020). Digital 2020: Taiwan. All the data, trends, and insights you need to help you understand how people use the Internet, mobile, social media, and ecommerce, 4-73.
    https://datareportal.com/reports/digital-2020-taiwan
    Söllner, M., Hoffmann, A., & Leimeister, J. M. (2016). Why different trust relationships matter for information systems users. European Journal of Information Systems, 25(3), 274-287.
    Statista (2020). Global retail e-commerce sales 2014-2023, Retrieved May 18 2020, from: https://www.statista.com/statistics/379046/worldwide-retail-e-commerce- sales/
    Sun, J. C. Y., & Rueda, R. (2012). Situational interest, computer self‐efficacy and self‐ regulation: Their impact on student engagement in distance education. British Journal of Educational Technology, 43(2), 191-204.
    Tan, C. W., Benbasat, I., & Cenfetelli, R. T. (2013). IT-mediated customer service content and delivery in electronic governments: An empirical investigation of the antecedents of service quality. MIS Quarterly, 37(1), 77-109.
    Van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS Quarterly, 28(4), 695-704.
    Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
    Wang, H., Chung, J. E., Park, N., McLaughlin, M. L., & Fulk, J. (2012). Understanding online community participation: A technology acceptance perspective. Communication Research, 39(6), 781-801.
    Wang, H., Fang, H., & Tang, Q. (2019). Exploring the Role of Technical Features in Promoting the Intention to Continue Sharing Contents in Social Commerce Platform. Journal of Service Science and Management, 12(02), 214.
    Wang, X., Lin, X., & Spencer, M. K. (2019). Exploring the effects of extrinsic motivation on consumer behaviors in social commerce: Revealing consumers’ perceptions of social commerce benefits. International Journal of Information Management, 45, 163-175.
    Wasko, M. M., & Faraj, S. (2000). “It is what one does”: why people participate and help others in electronic communities of practice. The Journal of Strategic Information Systems, 9(2-3), 155-173.
    Wasko, M. M., & Faraj, S. (2005). Why should I share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Quarterly, 35-57.
    Williams, D. (2006). On and off the’Net: Scales for social capital in an online era. Journal of Computer-mediated Communication, 11(2), 593-628.
    Yahia, I. B., Al-Neama, N., & Kerbache, L. (2018). Investigating the drivers for social commerce in social media platforms: Importance of trust, social support and the platform perceived usage. Journal of Retailing and Consumer Services, 41, 11-19.
    Zeithaml, V.A. (1987), Defining and Relating Prices, Perceived Quality and Perceived Value. Marketing Science Institute, Cambridge, MA.
    Yeh, Y. H., & Choi, S. M. (2011). MINI-lovers, maxi-mouths: An investigation of antecedents to eWOM intention among brand community members. Journal of Marketing Communications, 17(3), 145-162.
    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 & Management, 51(8), 1017-1030.
    描述: 碩士
    國立政治大學
    企業管理研究所(MBA學位學程)
    108363022
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0108363022
    数据类型: thesis
    DOI: 10.6814/NCCU202100637
    显示于类别:[企業管理研究所（MBA學位學程）] 學位論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    302201.pdf1636KbAdobe PDF2321检视/开启


    在政大典藏中所有的数据项都受到原著作权保护.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈