政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/131499
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113451/144438 (79%)
Visitors : 51340613      Online Users : 749
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大典藏 > College of Commerce > Department of MIS > Theses >  Item 140.119/131499
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/131499


    Title: 從隱私計算理論探討個人化服務對隱私資訊揭露之影響
    How Personalized Services Affect Disclosure of Personal Information: A privacy calculus perspective
    Authors: 徐愛茹
    Hsu, Ai-Ju
    Contributors: 梁定澎
    彭志宏

    Liang, Ting-Peng
    Peng, Chih-Hung

    徐愛茹
    Hsu, Ai-Ju
    Keywords: 隱私計算理論
    個人化服務
    感知資訊關聯
    資訊敏感度
    調節焦點
    Information privacy
    Personalized services
    Privacy calculus
    Relevance theory
    Regulatory focus theory
    Date: 2020
    Issue Date: 2020-09-02 11:47:41 (UTC+8)
    Abstract: 網路高度普及的時代來臨,加上人工智慧、大數據分析等應用的蓬勃發展,企業得以將握有的大量數據加以處理運用後,提供更符合消費者的個人化服務。但近年來隱私意識逐漸高漲,且個人化服務涉及不少隱私資訊的揭露,消費者在享受個人化及保護個人資料兩者間需要做出取捨,了解消費者如何做出隱私相關決策以找出平衡點也成為企業的重要課題。本研究鑒於個人化服務在現今數位環境中的重要性,以及與隱私議題的密切關係,將感知資訊關聯加入隱私計算理論以建構一擴充模型,探討在個人化服務中,不同因素對於使用者個人資訊揭露的影響,另將資訊敏感度設為干擾變數,進一步觀察是否會干擾感知資訊關聯性對感知風險及利益的關聯,也加入了調節焦點理論中的調節焦點為另一干擾變數,探討不同調節焦點下,感知利益及風險對個人資訊揭露意圖之間的關係是否會被干擾而有所不同。本研究使用問卷調查法在網路上發放問卷後,透過SmartPLS 3對回收之樣本以結構方程模式分析,並確認信度與效度後,對研究架構進行假說的檢定,研究結果發現感知資訊關聯會正向顯著影響感知利益、負向顯著影響感知風險,干擾變數調節焦點的效果則不顯著,表示不同調節焦點的人不會對感知利益及風險對個人資訊揭露意圖之間的關係有放大或縮小的效果,資訊敏感度則會調節感知資訊關聯與感知利益的關係。
    Personalized services play a significant role in the current digital environment and have a close relationship with privacy issues. This research combines perceived information relevance and privacy calculus theory to build an expanded model to discuss how perceived information relevance impacts perceived benefits and perceived risks in personalized services. Regulatory focus of the user is treated as a moderator to discuss whether the regulatory focus (promoting focus/prevention focus) affect the impact of the perceived benefits and perceived risks on the intention to disclose personal information.
    This research adopted the online experimental method that recruited subjects to fill out questionnaires via online distribution. The collected data was analyzed using SmartPLS 3 to conduct structural equation modeling. Upon ascertaining reliability and validity and hypothesis testing on the research framework, the results indicate that perceived information relevance has a significant positive impact on perceived benefits while having a significant negative impact on perceived risks. On the other hand, the moderating variable-regulatory focus does not have a significant effect, while the effects of perceived information relevance on perceived benefits were moderated by information sensitivity.
    Reference: 一、 中文文獻:
    [1] 何自然,冉永平(2000)。《關聯性:溝通與認知》導讀。外語教學與研究出版社。取自https://doi.org/10.1191/026765800673158592
    [2] 賴立芸(2019)。資訊隱私悖論因素探討。國立政治大學資訊管理學系碩士論文,台北市。取自https://hdl.handle.net/11296/uzx2qt
    [3] 林承穎(2017)。從調節焦點和隱私計算探討社群網站使用者隱私揭露之研究。淡江大學資訊管理學系碩士班碩士論文,新北市。取自https://hdl.handle.net/11296/xaf922
    [4] 趙庭瑋(2009)。調節焦點對尋求多樣化之影響。國立臺灣大學商學研究所碩士論文,台北市。取自http://ntur.lib.ntu.edu.tw//handle/246246/184558
    [5] 馬慶玲(2010)。調節焦點影響廣告效果之研究。國立政治大學心理學研究所碩士論文,台北市。 取自https://hdl.handle.net/11296/uemup5

    二、 英文文獻:
    [1] Anderson, C. L., &Agarwal, R. (2011). The digitization of healthcare: Boundary risks, emotion, and consumer willingness to disclose personal health information. In Information Systems Research (Vol. 22, Issue 3, pp. 469–490). https://doi.org/10.1287/isre.1100.0335
    [2] Bansal, G., Zahedi, F. M., &Gefen, D. (2010). The impact of personal dispositions on information sensitivity, privacy concern and trust in disclosing health information online. Decision Support Systems, 49(2), 138–150. https://doi.org/10.1016/j.dss.2010.01.010
    [3] Basyuk, D., Prymak, T., &Pohuda, N. (2018). The role of informational technologies in creating a personalized customer experience: a case study of tourism branch in Ukraine. Centre for European Studies (CES) Working Papers, 10(3),406–422. http://search.ebscohost.com/login.aspx?direct=true&db=asx&AN=133272521&lang=de&site=eds-live
    [4] Brown, J. O., Broderick, A. J., &Lee, N. (2007). Online Communities : Conceptualizing the Online Social Network. Journal of Interactive Marketing, 21(3), 2–20. https://doi.org/10.1002/dir
    [5] Celsi, R. L., &Olson, J. C. (1988). The Role of Involvement in Attention and Comprehension Processes. Journal of Consumer Research, 15(2), 210. https://doi.org/10.1086/209158
    [6] Chellappa, R. K., &Raymond G. Sin. (2005). Personalization versus Privacy: An Empirical Examination of the Online Consumer’s Dilemma. Information Technology and Management, 6(2–3), 181–202. https://doi.org/10.3138/cras.42.1.7
    [7] Chellappa, R. K., &Shivendu, S. (2007). An economic model of privacy: A property rights approach to regulatory choices for online personalization. Journal of Management Information Systems, 24(3), 193–225. https://doi.org/10.2753/MIS0742-1222240307
    [8] Craciun, G. (2018). Choice defaults and social consensus effects on online information sharing: The moderating role of regulatory focus. Computers in Human Behavior, 88(June), 89–102. https://doi.org/10.1016/j.chb.2018.06.019
    [9] Culnan, M. J., Armstrong, P. K., Science, S. O., Feb, N. J., Culnan, M. J., &Armstrong, P. K. (1999). Information Privacy Concerns , Procedural Fairness , and Impersonal Trust : An Empirical Investigation. 10(1), 104–115.
    [10] Culnan, M. J., &Bies, R. J. (2003). Consumer privacy: Balancing economic and justice considerations. Journal of Social Issues, 59(2), 323–342. https://doi.org/10.1111/1540-4560.00067
    [11] Dienlin, T., &Metzger, M. J. (2016). An Extended Privacy Calculus Model for SNSs: Analyzing Self-Disclosure and Self-Withdrawal in a Representative U.S. Sample. Journal of Computer-Mediated Communication, 21(5), 368–383. https://doi.org/10.1111/jcc4.12163
    [12] Dinev, T., &Hart, P. (2006). An extended privacy calculus model for e-commerce transactions. Information Systems Research, 17(1), 61–80. https://doi.org/10.1287/isre.1060.0080
    [13] Dinev, T., Xu, H., Smith, J. H., &Hart, P. (2013). Information privacy and correlates: An empirical attempt to bridge and distinguish privacyrelated concepts. European Journal of Information Systems, 22(3), 295–316. https://doi.org/10.1057/ejis.2012.23
    [14] Gauzente, C. (2004). Web Merchants’ Privacy and Security Statements : How Reassuring Are They for Consumers ? a Two-Sided Approach. Journal of Electronic Commerce Research, 5(3), 181–198.
    [15] Gerber, N., Gerber, P., &Volkamer, M. (2018). Explaining the privacy paradox: A systematic review of literature investigating privacy attitude and behavior. Computers and Security, 77, 226–261. https://doi.org/10.1016/j.cose.2018.04.002
    [16] Gupta, Ashish; Patel, Vimla L.; Greenes, R. A. (2016). Advances in Healthcare Informatics an Analytics. https://doi.org/10.1007/978-3-319-23294-2
    [17] Higgins, E. T. (1998). Promotion and Prevention: Regulatory Focus as A Motivational Principle. Advances in Experimental Social Psychology, 30(C), 1–46. https://doi.org/10.1016/S0065-2601(08)60381-0
    [18] Hsiao, C. H., Tsai, C. F., &Hsu, Y. H. (2012). The influences of self-construal and regulatory focus on impulsive buying behavior. NTU Management Review, 23(1), 119–150. https://doi.org/10.6226/NTURM2012.AUG.M5
    [19] Jung, A. R. (2017). The influence of perceived ad relevance on social media advertising: An empirical examination of a mediating role of privacy concern. Computers in Human Behavior, 70, 303–309. https://doi.org/10.1016/j.chb.2017.01.008
    [20] Kehr, F., Kowatsch, T., Wentzel, D., &Fleisch, E. (2015). Blissfully ignorant: The effects of general privacy concerns, general institutional trust, and affect in the privacy calculus. Information Systems Journal, 25(6), 607–635. https://doi.org/10.1111/isj.12062
    [21] Krasnova, H., Spiekermann, S., Koroleva, K., &Hildebrand, T. (2010). Online Social Networks: Why We Disclose Author Version. Journal of Information Technology, 25(2), 109–125.
    [22] Krishnan, M. S., &Awad, N. F. (2006). The Personalization Privacy Paradox : An Empirical Evaluation of Information Transparency and the Willingness to be Profiled Online for Personalization. 30(1), 13–28.
    [23] Laufer, R. S., &Wolfe, M. (1977). Privacy as a concept and a social issue: A multidimensional developmental theory. Journal of Social Issues, 33(3), 22–42.
    [24] Li, H., &Sarathy, R. (2007). Understanding online information disclosure as a privacy calculus adjusted by exchange fairness. In ICIS 2007 Proceedings - Twenty Eighth International Conference on Information Systems.
    [25] Li, H., Sarathy, R., &Xu, H. (2010). Understanding situational online information disclosure as a privacy calculus. Journal of Computer Information Systems, 51(1), 62–71. https://doi.org/10.1080/08874417.2010.11645450
    [26] Li, H., Sarathy, R., &Xu, H. (2011). The role of affect and cognition on online consumers’ decision to disclose personal information to unfamiliar online vendors. Decision Support Systems, 51(3), 434–445. https://doi.org/10.1016/j.dss.2011.01.017
    [27] Li, Y. (2012). Theories in online information privacy research: A critical review and an integrated framework. Decision Support Systems, 54(1), 471–481. https://doi.org/10.1016/j.dss.2012.06.010
    [28] Liberman, N., Idson, L. C., Camacho, C. J., &Higgins, E. T. (1999). Promotion and prevention choices between stability and change. Journal of Personality and Social Psychology, 77(6), 1135–1145. https://doi.org/10.1037/0022-3514.77.6.1135
    [29] Liu, X. (2013). How Are People Enticed to Disclose Personal Information Despite Privacy Concerns in Social Network Sites? The Calculus Between Benefit and Cost. Journal of the American Society for Information Science and Technology, 64(July), 1852–1863. https://doi.org/10.1002/asi
    [30] Lockwood, P., Jordan, C. H., &Kunda, Z. (2002). Motivation by positive or negative role models: Regulatory focus determines who will best inspire us. Journal of Personality and Social Psychology, 83(4), 854–864. https://doi.org/10.1037/0022-3514.83.4.854
    [31] Malhotra, N. K., Kim, S. S., &Agarwal, J. (2004). Internet users’ information privacy concerns (IUIPC): The construct, the scale, and a causal model. Information Systems Research, 15(4), 336–355. https://doi.org/10.1287/isre.1040.0032
    [32] Milne, G. R. (1997). Consumer participation in mailing lists: A field experiment. Journal of Public Policy and Marketing, 16(2), 298–309. https://doi.org/10.1177/074391569701600210
    [33] Milne, G. R., &Gordon, M. E. (1993). Direct Mail Privacy-Efficiency Trade-offs within an Implied Social Contract Framework. Journal of Public Policy & Marketing, 12(2), 206–215. https://doi.org/10.1177/074391569101200206
    [34] Milne, G. R., Pettinico, G., Hajjat, F. M., &Markos, E. (2017). Information Sensitivity Typology: Mapping the Degree and Type of Risk Consumers Perceive in Personal Data Sharing. Journal of Consumer Affairs, 51(1), 133–161. https://doi.org/10.1111/joca.12111
    [35] Mingwei Hsu, Kharlamov, A., &Glenn Parry. (2019). Managing personalization-privacy paradox of digital services: A systematic literature review. Data for Policy.
    [36] Norberg, P. A., Horne, D. R., &Horne, D. A. (2007). The privacy paradox: Personal information disclosure intentions versus behaviors. Journal of Consumer Affairs, 41(1), 100–126. https://doi.org/10.1111/j.1745-6606.2006.00070.x
    [37] Nowak, G. J., &Phelps, J. (1992). Understanding privacy concerns.An assessment of consumers’ information-related knowledge and beliefs. Journal of Direct Marketing, 6(4), 28–39. https://doi.org/10.1002/dir.4000060407
    [38] Odel, L. I. M., Ersuasion, I. N. P., &Angst, B. C. M. (2009). Adoption of electronic health records in the presence of privacy concerns: the elaboration likelihood model and individual persuasion.pdf. Management Information Systems Quarterly, 33(2), 339–370.
    [39] Pavlou, P. A., &Stewart, D. W. (2000). Measuring the Effects and Effectiveness of Interactive Advertising. Journal of Interactive Advertising, 1(1), 61–77. https://doi.org/10.1080/15252019.2000.10722044
    [40] Pham, M. T., &Avnet, T. (2004). Ideals and Oughts and the Reliance on Affect versus Substance in Persuasion. Journal of Consumer Research, 30(4), 503–518. https://doi.org/10.1086/380285
    [41] Phelps, J., Nowak, G., &Ferrell, E. (2000). Privacy concerns and consumer willingness to provide personal information. Journal of Public Policy and Marketing, 19(1), 27–41. https://doi.org/10.1509/jppm.19.1.27.16941
    [42] Pötzsch, S. (2009). Privacy awareness: A means to solve the privacy paradox? IFIP Advances in Information and Communication Technology, 298(216483), 226–236. https://doi.org/10.1007/978-3-642-03315-5_17
    [43] Rohm, A. J., &Milne, G. R. (2004). Just what the doctor ordered. The role of information sensitivity and trust in reducing medical information privacy concern. Journal of Business Research, 57(9), 1000–1011. https://doi.org/10.1016/S0148-2963(02)00345-4
    [44] Sassenberg, K., Landkammer, F., &Jacoby, J. (2014). The influence of regulatory focus and group vs. individual goals on the evaluation bias in the context of group decision making. Journal of Experimental Social Psychology, 54, 153–164. https://doi.org/10.1016/j.jesp.2014.05.009
    [45] Schoenbachler, D. D., &Gordon, G. L. (2002). Trust and customer willingness to provide information in database-driven relationship marketing. Journal of Interactive Marketing, 16(3), 2–16. https://doi.org/10.1002/dir.10033
    [46] Sharma, S., &Crossler, R. E. (2014). Disclosing too much? Situational factors affecting information disclosure in social commerce environment. Electronic Commerce Research and Applications, 13(5), 305–319. https://doi.org/10.1016/j.elerap.2014.06.007
    [47] Sheehan, K. B., &Hoy, M. G. (2000). Dimensions of Privacy Concern Among Online Consumers. Journal of Public Policy & Marketing, 19(1), 62–73.
    [48] Sheng, H., Nah, F. F. H., &Siau, K. (2008). An experimental study on ubiquitous commerce adoption: Impact of personalization and privacy concerns. Journal of the Association for Information Systems, 9(6), 344–376.
    [49] Siegrist, M., Cvetkovich, G., &Roth, C. (2000). Salient value similarity, social trust, and risk/benefit perception. Risk Analysis, 20(3), 353–362. https://doi.org/10.1111/0272-4332.203034
    [50] Sitkin, S. B., &Pablo, A. L. (1992). Reconceptualizing the Determinants of Risk Behavior Author ( s ): Sim B . Sitkin and Amy L . Pablo Source : The Academy of Management Review , Vol . 17 , No . 1 ( Jan ., 1992 ), pp . 9-38 Published by : Academy of Management Stable URL : http://www.jstor. Academy of Management, 17(1), 9–38.
    [51] Sperber, D., &Wilson, D. (1986). Relevance: Communication and Cognition. In Cambridge, MA: Harvard University Press. (Vol. 142). https://doi.org/10.1111/j.1468-0017.1989.tb00246.x
    [52] Spiekermann, S., Grossklags, J., &Berendt, B. (2001). E-privacy in 2nd generation E-commerce: Privacy preferences versus actual behavior. Proceedings of the ACM Conference on Electronic Commerce, 38–47.
    [53] Stone, D. L. (1981). The effects of the valence of outcomes for providing data and the perceived relevance of the data requested on privacy-related behaviors, beliefs, and attitudes.
    [54] Sutanto, J., Palme, E., Tan, C.-H., &Phang, C. W. (2013). Addressing the personalization-privacy paradox: an empirical assessment from a field experiment on smartphone users. MIS Quarter, 37(4), 1141–1164.
    [55] Wang, T., Duong, T. D., &Chen, C. C. (2016). Intention to disclose personal information via mobile applications: A privacy calculus perspective. International Journal of Information Management, 36(4), 531–542. https://doi.org/10.1016/j.ijinfomgt.2016.03.003
    [56] Xu, H., Luo, X., Carroll, J. M., &Rosson, M. B. (2011). The personalization privacy paradox: An exploratory study of decision making process for location-aware marketing. Decision Support Systems, 51(1), 42–52. https://doi.org/10.1016/j.dss.2010.11.017
    [57] Xu, H., Teo, H. H., Tan, B. C. Y., &Agarwal, R. (2009). The role of push-pull technology in privacy calculus: The case of location-based services. Journal of Management Information Systems, 26(3), 135–174. https://doi.org/10.2753/MIS0742-1222260305
    [58] Zhang, B., &Xu, H. (2016). Privacy nudges for mobile applications: Effects on the creepiness emotion and privacy attitudes. Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW, 27, 1676–1690. https://doi.org/10.1145/2818048.2820073
    [59] Zhang, E. M. (2010). Beauty as a tool: The effect of model attractiveness, product relevance, and elaboration likelihood on advertising effectiveness. Psychology & Marketing, 30(6), 461–469. https://doi.org/10.1002/mar
    [60] Zhou, T. (2011). The impact of privacy concern on user adoption of location-based services. In Industrial Management and Data Systems (Vol. 111, Issue 2, pp. 212–226). https://doi.org/10.1108/02635571111115146
    [61] Zhu, Y. Q., &Chang, J. H. (2016). The key role of relevance in personalized advertisement: Examining its impact on perceptions of privacy invasion, self-awareness, and continuous use intentions. Computers in Human Behavior, 65, 442–447. https://doi.org/10.1016/j.chb.2016.08.048
    [62] Zimmer, J. C., Arsal, R. E., Al-Marzouq, M., &Grover, V. (2010). Investigating online information disclosure: Effects of information relevance, trust and risk. Information and Management, 47(2), 115–123. https://doi.org/10.1016/j.im.2009.12.003
    Description: 碩士
    國立政治大學
    資訊管理學系
    107356029
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0107356029
    Data Type: thesis
    DOI: 10.6814/NCCU202001598
    Appears in Collections:[Department of MIS] Theses

    Files in This Item:

    File Description SizeFormat
    602901.pdf3957KbAdobe PDF23View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    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 ©   - Feedback