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題名 以隱私計算模型探討使用者於餐飲外送平台中自我揭露之因素
Using Privacy Calculus Theory to explore intention to disclose personal information via food ordering and delivery platform作者 連婉宜
Lien, Wan-Yi貢獻者 簡睿哲
Jean, Ruey-Jer
連婉宜
Lien, Wan-Yi關鍵詞 餐飲外送平台
隱私計算模型
自我揭露
認知需求
Food ordering and delivery platform
Privacy calculus
Self-disclosure
Need for cognition日期 2021 上傳時間 1-Feb-2021 13:58:34 (UTC+8) 摘要 餐飲外送平台產業近年來發展迅速,加上2019新冠肺炎疫情影響,民眾減少外出與人群接觸的頻率,使餐飲外送風氣更加盛行。在使用餐飲外送平台的過程中,常會牽涉到個人隱私資訊交換議題,因此,本研究由個人隱私議題的角度出發,以隱私計算模型(Privacy Calculus Model)作為研究架構基礎,探討使用者於餐飲外送平台中自我揭露之因素,並得出以下結果:1.折價券效果與知覺利益之間具有正向關係2.個人化程度同時與知覺利益和知覺風險之間具有正向關係,亦即個人化會同時產生使用者自我揭露的好處和壞處,故增加個人化功能需要考慮的因素會較其他面向更為複雜3.信任與知覺風險間具有負向關係4.隱私顧慮與知覺風險間具有正向關係5.認知需求會在知覺利益與自我揭露意願的正向關係中產生負向的調節效果,即使用者的認知需求愈高,其知覺利益與自我揭露意願的正向關係愈弱
Food ordering and delivery platform services have grown rapidly in recent years. Due to the impact of COVID-19, people reduced the frequency of going out and contacting with each other, and this made food delivery services more popular. In the process of using food ordering and delivery platform, personal privacy information exchange issues are often involved. Therefore, this study started with the perspective of personal privacy issues and used Privacy Calculus Model as the research framework to discuss users’ intention to disclose personal information via food ordering and delivery platform. The main conclusions are as following:1.The effect of discount coupons is positive related to perceived benefits.2.Personalization is positive related to perceived benefits and perceived risks. This implies that more factors should be considered when adding personalization functions.3.Trust is negative related to perceived risks.4.Privacy concern is positive related to perceived risks.5.Need for cognition has a negative moderation effect on the relationship between perceived benefits and intention to disclose personal information.參考文獻 一、中文部分林聖偉(2019)。外送平台顧客滿意度之影響因素與顧客使用頻率的關係。中興大學企業管理學系所學位論文。高泉豐(1994)認知需求的概念與測量。中華心理學刊,36,1-20。張琇婷(2019)消費者的價值觀對於美食外送平台使用意圖之探討-以便利性為中介變數。成功大學國際企業研究所學位論文。莊子毅、林淑芳(2019)Uber eats 和 Food panda 外送平台客戶滿意度調查與再購意願探討分析。健康學術研討會暨國際尖端醫學論壇論文摘要集。陳惠屏(2015)以整合性科技接受模型探討線上訂餐外送系統的成功因素。中興大學科技管理研究所學位論文。盧儀倫(2019)熟食外送平台使用行為之研究。國立政治大學,Available from Airiti AiritiLibrary database。二、英文部分Acquisti, A., Brandimarte, L., & Loewenstein, G. (2015). Privacy and human behavior in the age of information. Science, 347(6221), 509-514.Acquisti, A., & Grossklags, J. (2005). Privacy and rationality in individual decision making. IEEE security & privacy, 3(1), 26-33.Adams, J. S. (1963). Towards an understanding of inequity. The Journal of Abnormal and Social Psychology, 67(5), 422.Adomavicius, G., & Tuzhilin, A. (2005). Personalization technologies: a process-oriented perspective. Communications of the ACM, 48(10), 83-90.Aiken, L. S., West, S. G., & Reno, R. R. (1991). Multiple regression: Testing and interpreting interactions: sage.Aivazpour, Z., & Rao, V. S. (2020). Information Disclosure and Privacy Paradox. ACM SIGMIS Database: the DATABASE for Advances in Information Systems, 51(1), 14-36. doi:10.1145/3380799.3380803Akerlof, G. A. (1978). The market for “lemons”: Quality uncertainty and the market mechanism. In Uncertainty in economics (pp. 235-251): Elsevier.Amichai-Hamburger, Y., Kaynar, O., & Fine, A. (2007). The effects of need for cognition on Internet use. Computers in Human Behavior, 23(1), 880-891. doi:10.1016/j.chb.2006.03.002Awad, N. F., & Krishnan, M. S. (2006). The personalization privacy paradox: An empirical evaluation of information transparency and the willingness to be profiled online for personalization. MIS quarterly, 30(1), 13-28. Retrieved from ://WOS:000235602600002Bansal, G., & Zahedi, F. (2008). The moderating influence of privacy concern on the efficacy of privacy assurance mechanisms for building trust: A multiple-context investigation. ICIS 2008 Proceedings, 7.Barwise, P., & Strong, C. (2002). Permission‐based mobile advertising. Journal of interactive Marketing, 16(1), 14-24.Bashir, M., Hayes, C., Lambert, A. D., & Kesan, J. P. (2015). Online privacy and informed consent: The dilemma of information asymmetry. Proceedings of the Association for Information Science and Technology, 52(1), 1-10.Baumeister, R. F., Bratslavsky, E., Finkenauer, C., & Vohs, K. D. (2001). Bad is stronger than good. Review of general psychology, 5(4), 323-370.Beresford, A. R., & Stajano, F. (2003). Location privacy in pervasive computing. IEEE Pervasive computing, 2(1), 46-55.Cacioppo, J. T., & Petty, R. E. (1982). The need for cognition. Journal of Personality and Social Psychology, 42(1), 116-131. doi:10.1037/0022-3514.42.1.116Clemons, E. K., Wilson, J., Matt, C., Hess, T., Ren, F., Jin, F., & Koh, N. S. (2016). Global differences in online shopping behavior: Understanding factors leading to trust. Journal of Management Information Systems, 33(4), 1117-1148.Cohen, A. R., Stotland, E., & Wolfe, D. M. (1955). An experimental investigation of need for cognition. The Journal of Abnormal and Social Psychology, 51(2), 291.Corritore, C. L., Kracher, B., & Wiedenbeck, S. (2003). On-line trust: concepts, evolving themes, a model. International Journal of Human-Computer Studies, 58(6), 737-758.Culnan, M. J., & Bies, R. J. (2003). Consumer privacy: Balancing economic and justice considerations. Journal of Social Issues, 59(2), 323-342. doi:10.1111/1540-4560.00067Curseu, P. L. (2006). Need for cognition and rationality in decision-making. Studia Psychologica, 48(2), 141-156. Retrieved from ://WOS:000238382500005Dinev, T., & Hart, P. (2006). An Extended Privacy Calculus Model for E-Commerce Transactions. Information Systems Research, 17(1), 61-80. doi:10.1287/isre.1060.0080Ganguly, B., Dash, S. B., Cyr, D., & Head, M. (2010). The effects of website design on purchase intention in online shopping: the mediating role of trust and the moderating role of culture. International Journal of Electronic Business, 8(4-5), 302-330.Graeff, T. R., & Harmon, S. (2002). Collecting and using personal data: consumers’ awareness and concerns. Journal of consumer marketing.Gutierrez, A., O`Leary, S., Rana, N. P., Dwivedi, Y. K., & Calle, T. (2019). Using privacy calculus theory to explore entrepreneurial directions in mobile location-based advertising: Identifying intrusiveness as the critical risk factor. Computers in Human Behavior, 95, 295-306. doi:10.1016/j.chb.2018.09.015Haley, R. I., & Baldinger, A. L. (1991). The ARF copy research validity project. Journal of advertising research.Haugtvedt, C., Petty, R. E., Cacioppo, J. T., & Steidley, T. (1988). Personality and ad effectiveness: Exploring the utility of need for cognition. ACR North American Advances.Haugtvedt, C. P., Petty, R. E., & Cacioppo, J. T. (1992). Need for cognition and advertising: Understanding the role of personality variables in consumer behavior. Journal of Consumer Psychology, 1(3), 239-260.Ho, S. Y., & Chau, P. Y. K. (2013). The Effects of Location Personalization on Integrity Trust and Integrity Distrust in Mobile Merchants. International Journal of Electronic Commerce, 17(4), 39-72. doi:10.2753/jec1086-4415170402Hong, I. B., & Cha, H. S. (2013). The mediating role of consumer trust in an online merchant in predicting purchase intention. International Journal of Information Management, 33(6), 927-939.Jourard, S. M. (1958). A study of self-disclosure. Scientific American, 198(5), 77-86.Jourard, S. M. (1959). SELF-DISCLOSURE AND OTHER-CATHEXIS. Journal of Abnormal and Social Psychology, 59(3), 428-431. doi:10.1037/h0041640Junglas, I. A., Johnson, N. A., & Spitzmuller, C. (2008). Personality traits and concern for privacy: an empirical study in the context of location-based services. European Journal of Information Systems, 17(4), 387-402. doi:10.1057/ejis.2008.29Junglas, I. A., & Spitzmuller, C. (2005). A research model for studying privacy concerns pertaining to location-based services. Paper presented at the Proceedings of the 38th Annual Hawaii International Conference on System Sciences.Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31-36.Kang, J.-W., & Namkung, Y. (2019). The role of personalization on continuance intention in food service mobile apps. International Journal of Contemporary Hospitality Management, 31(2), 734-752. doi:10.1108/ijchm-12-2017-0783Kaufman, B. E. (1999). Emotional arousal as a source of bounded rationality. Journal of Economic Behavior & Organization, 38(2), 135-144. doi:10.1016/s0167-2681(99)00002-5Khan, R., Lewis, M., & Singh, V. (2009). Dynamic Customer Management and the Value of One-to-One Marketing. Marketing Science, 28(6), 1063-1079. doi:10.1287/mksc.1090.0497Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544-564.Ko, H., Cho, C.-H., & Roberts, M. S. (2005). Internet uses and gratifications: A structural equation model of interactive advertising. Journal of advertising, 34(2), 57-70.Kobsa, A. (2007). Privacy-enhanced personalization. Communications of the ACM, 50(8), 24-33.Koohikamali, M., Gerhart, N., & Mousavizadeh, M. (2015). Location disclosure on LB-SNAs: The role of incentives on sharing behavior. Decision Support Systems, 71, 78-87.Kraemer, H. C., & Blasey, C. M. (2004). Centring in regression analyses: a strategy to prevent errors in statistical inference. International journal of methods in psychiatric research, 13(3), 141-151.Lee, D. H., Im, S., & Taylor, C. R. (2008). Voluntary self-disclosure of information on the internet: A multimethod study of the motivations and consequences of disclosing information on blogs. Psychology & Marketing, 25(7), 692-710. doi:10.1002/mar.20232Lee, H., Park, H., & Kim, J. (2013). Why do people share their context information on Social Network Services? A qualitative study and an experimental study on users` behavior of balancing perceived benefit and risk. International Journal of Human-Computer Studies, 71(9), 862-877.Lee, J.-M., & Rha, J.-Y. (2016). Personalization–privacy paradox and consumer conflict with the use of location-based mobile commerce. Computers in Human Behavior, 63, 453-462. doi:10.1016/j.chb.2016.05.056Lewicki, R. J., Mcallister, D., & Bies, R. (2006). Trust and distrust. The negotiator’s fieldbook: The desk reference for the experienced negotiator, 191-202.Lewicki, R. J., McAllister, D. J., & Bies, R. J. (1998). Trust and distrust: New relationships and realities. Academy of management Review, 23(3), 438-458.Lin, C.-L., Lee, S.-H., & Horng, D.-J. (2011). The effects of online reviews on purchasing intention: The moderating role of need for cognition. Social Behavior and Personality: an international journal, 39(1), 71-81.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.Mavlanova, T., Benbunan-Fich, R., & Koufaris, M. (2012). Signaling theory and information asymmetry in online commerce. Information & Management, 49(5), 240-247.Merchant, K. A. (1985). Organizational controls and discretionary program decision making: A field study. Accounting, Organizations and Society, 10(1), 67-85. doi:10.1016/0361-3682(85)90032-7Milne, 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. doi:10.1177/074391569101200206Nemec, Z., Welzer, Hölbl, Heričko, & Kamišalić. (2019). A Model of Perception of Privacy, Trust, and Self-Disclosure on Online Social Networks. Entropy, 21(8), 772. doi:10.3390/e21080772Norberg, 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.Nunnally, J. C., & Bernstein, I. H. (1994). Psychological theory. In: New York: McGraw-Hill.Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. In Communication and persuasion (pp. 1-24): Springer.Ponte, E. B., Carvajal-Trujillo, E., & Escobar-Rodríguez, T. (2015). Influence of trust and perceived value on the intention to purchase travel online: Integrating the effects of assurance on trust antecedents. Tourism Management, 47, 286-302.Shaw, N. (2014). The mediating influence of trust in the adoption of the mobile wallet. Journal of Retailing and Consumer Services, 21(4), 449-459.Stouthuysen, K., Teunis, I., Reusen, E., & Slabbinck, H. (2018). Initial trust and intentions to buy: The effect of vendor-specific guarantees, customer reviews and the role of online shopping experience☆. Electronic Commerce Research and Applications, 27, 23-38.Sun, Y., Fang, S., & Hwang, Y. (2019). Investigating Privacy and Information Disclosure Behavior in Social Electronic Commerce. Sustainability, 11(12), 3311. doi:10.3390/su11123311Sun, Y. Q., Wang, N., Shen, X. L., & Zhang, J. X. (2015). Location information disclosure in location-based social network services: Privacy calculus, benefit structure, and gender differences. Computers in Human Behavior, 52, 278-292. doi:10.1016/j.chb.2015.06.006Sutanto, 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 quarterly, 1141-1164.Tsai, J. Y., Egelman, S., Cranor, L., & Acquisti, A. (2011). The effect of online privacy information on purchasing behavior: An experimental study. Information Systems Research, 22(2), 254-268.Wang, L., Hu, H. H., Yan, J., & Mei, M. Q. Z. (2020). Privacy calculus or heuristic cues? The dual process of privacy decision making on Chinese social media. Journal of Enterprise Information Management, 33(2), 353-380. doi:10.1108/jeim-05-2019-0121Wang, 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. doi:10.1016/j.ijinfomgt.2016.03.003Watts, L. L., Steele, L. M., & Song, H. (2017). Re-examining the relationship between need for cognition and creativity: Predicting creative problem solving across multiple domains. Creativity Research Journal, 29(1), 21-28.Wedel, M., & Kannan, P. K. (2016). Marketing Analytics for Data-Rich Environments. Journal of Marketing, 80(6), 97-121. doi:10.1509/jm.15.0413Xie, E., Teo, H.-H., & Wan, W. (2006). Volunteering personal information on the internet: Effects of reputation, privacy notices, and rewards on online consumer behavior. Marketing letters, 17(1), 61-74.Xu, H., & Gupta, S. (2009). The effects of privacy concerns and personal innovativeness on potential and experienced customers’ adoption of location-based services. Electronic Markets, 19(2-3), 137-149. doi:10.1007/s12525-009-0012-4Xu, 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. doi:10.1016/j.dss.2010.11.017Xu, 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. doi:10.2753/mis0742-1222260305Zhao, L., Lu, Y., & Gupta, S. (2012). Disclosure Intention of Location-Related Information in Location-Based Social Network Services. International Journal of Electronic Commerce, 16(4), 53-90. doi:10.2753/jec1086-4415160403Zhou, T. (2012). EXAMINING LOCATION-BASED SERVICES USAGE FROM THE PERSPECTIVES OF UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY AND PRIVACY RISK. Journal of Electronic Commerce Research, 13(2), 135-144. Retrieved from ://WOS:000306949900003Zhu, H., Ou, C. X., van den Heuvel, W.-J. A., & Liu, H. (2017). Privacy calculus and its utility for personalization services in e-commerce: An analysis of consumer decision-making. Information & Management, 54(4), 427-437. 描述 碩士
國立政治大學
國際經營與貿易學系
107351020資料來源 http://thesis.lib.nccu.edu.tw/record/#G0107351020 資料類型 thesis dc.contributor.advisor 簡睿哲 zh_TW dc.contributor.advisor Jean, Ruey-Jer en_US dc.contributor.author (Authors) 連婉宜 zh_TW dc.contributor.author (Authors) Lien, Wan-Yi en_US dc.creator (作者) 連婉宜 zh_TW dc.creator (作者) Lien, Wan-Yi en_US dc.date (日期) 2021 en_US dc.date.accessioned 1-Feb-2021 13:58:34 (UTC+8) - dc.date.available 1-Feb-2021 13:58:34 (UTC+8) - dc.date.issued (上傳時間) 1-Feb-2021 13:58:34 (UTC+8) - dc.identifier (Other Identifiers) G0107351020 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/133839 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 國際經營與貿易學系 zh_TW dc.description (描述) 107351020 zh_TW dc.description.abstract (摘要) 餐飲外送平台產業近年來發展迅速,加上2019新冠肺炎疫情影響,民眾減少外出與人群接觸的頻率,使餐飲外送風氣更加盛行。在使用餐飲外送平台的過程中,常會牽涉到個人隱私資訊交換議題,因此,本研究由個人隱私議題的角度出發,以隱私計算模型(Privacy Calculus Model)作為研究架構基礎,探討使用者於餐飲外送平台中自我揭露之因素,並得出以下結果:1.折價券效果與知覺利益之間具有正向關係2.個人化程度同時與知覺利益和知覺風險之間具有正向關係,亦即個人化會同時產生使用者自我揭露的好處和壞處,故增加個人化功能需要考慮的因素會較其他面向更為複雜3.信任與知覺風險間具有負向關係4.隱私顧慮與知覺風險間具有正向關係5.認知需求會在知覺利益與自我揭露意願的正向關係中產生負向的調節效果,即使用者的認知需求愈高,其知覺利益與自我揭露意願的正向關係愈弱 zh_TW dc.description.abstract (摘要) Food ordering and delivery platform services have grown rapidly in recent years. Due to the impact of COVID-19, people reduced the frequency of going out and contacting with each other, and this made food delivery services more popular. In the process of using food ordering and delivery platform, personal privacy information exchange issues are often involved. Therefore, this study started with the perspective of personal privacy issues and used Privacy Calculus Model as the research framework to discuss users’ intention to disclose personal information via food ordering and delivery platform. The main conclusions are as following:1.The effect of discount coupons is positive related to perceived benefits.2.Personalization is positive related to perceived benefits and perceived risks. This implies that more factors should be considered when adding personalization functions.3.Trust is negative related to perceived risks.4.Privacy concern is positive related to perceived risks.5.Need for cognition has a negative moderation effect on the relationship between perceived benefits and intention to disclose personal information. en_US dc.description.tableofcontents 第一章 緒論 1第一節 研究背景與動機 1第二節 研究問題與目的 4第二章 文獻探討 5第一節 自我揭露 5第二節 隱私計算模型 10第三節 個人化 10第四節 認知需求 11第五節 資訊不對稱 13第三章 研究架構及假說 15第一節 研究架構 15第二節 研究假說 16第四章 研究方法 22第一節 各項變數定義與衡量 22第二節 資料收集與樣本來源 28第三節 資料分析工具與方法 29第五章 資料分析 31第一節 樣本數與受訪者基本資料 31第二節 因素分析 33第三節 信度分析 42第四節 相關分析 43第五節 假說驗證:迴歸分析 45第六節 假說驗證結果統整 50第六章 結論與建議 52第一節 研究結果討論 52第二節 實務建議 55第三節 研究限制與未來研究方向 57參考文獻 59附錄 研究問卷 68 zh_TW dc.format.extent 1706805 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0107351020 en_US dc.subject (關鍵詞) 餐飲外送平台 zh_TW dc.subject (關鍵詞) 隱私計算模型 zh_TW dc.subject (關鍵詞) 自我揭露 zh_TW dc.subject (關鍵詞) 認知需求 zh_TW dc.subject (關鍵詞) Food ordering and delivery platform en_US dc.subject (關鍵詞) Privacy calculus en_US dc.subject (關鍵詞) Self-disclosure en_US dc.subject (關鍵詞) Need for cognition en_US dc.title (題名) 以隱私計算模型探討使用者於餐飲外送平台中自我揭露之因素 zh_TW dc.title (題名) Using Privacy Calculus Theory to explore intention to disclose personal information via food ordering and delivery platform en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) 一、中文部分林聖偉(2019)。外送平台顧客滿意度之影響因素與顧客使用頻率的關係。中興大學企業管理學系所學位論文。高泉豐(1994)認知需求的概念與測量。中華心理學刊,36,1-20。張琇婷(2019)消費者的價值觀對於美食外送平台使用意圖之探討-以便利性為中介變數。成功大學國際企業研究所學位論文。莊子毅、林淑芳(2019)Uber eats 和 Food panda 外送平台客戶滿意度調查與再購意願探討分析。健康學術研討會暨國際尖端醫學論壇論文摘要集。陳惠屏(2015)以整合性科技接受模型探討線上訂餐外送系統的成功因素。中興大學科技管理研究所學位論文。盧儀倫(2019)熟食外送平台使用行為之研究。國立政治大學,Available from Airiti AiritiLibrary database。二、英文部分Acquisti, A., Brandimarte, L., & Loewenstein, G. (2015). Privacy and human behavior in the age of information. Science, 347(6221), 509-514.Acquisti, A., & Grossklags, J. (2005). Privacy and rationality in individual decision making. IEEE security & privacy, 3(1), 26-33.Adams, J. S. (1963). Towards an understanding of inequity. The Journal of Abnormal and Social Psychology, 67(5), 422.Adomavicius, G., & Tuzhilin, A. (2005). Personalization technologies: a process-oriented perspective. Communications of the ACM, 48(10), 83-90.Aiken, L. S., West, S. G., & Reno, R. R. (1991). Multiple regression: Testing and interpreting interactions: sage.Aivazpour, Z., & Rao, V. S. (2020). Information Disclosure and Privacy Paradox. ACM SIGMIS Database: the DATABASE for Advances in Information Systems, 51(1), 14-36. doi:10.1145/3380799.3380803Akerlof, G. A. (1978). The market for “lemons”: Quality uncertainty and the market mechanism. In Uncertainty in economics (pp. 235-251): Elsevier.Amichai-Hamburger, Y., Kaynar, O., & Fine, A. (2007). The effects of need for cognition on Internet use. Computers in Human Behavior, 23(1), 880-891. doi:10.1016/j.chb.2006.03.002Awad, N. F., & Krishnan, M. S. (2006). The personalization privacy paradox: An empirical evaluation of information transparency and the willingness to be profiled online for personalization. MIS quarterly, 30(1), 13-28. Retrieved from ://WOS:000235602600002Bansal, G., & Zahedi, F. (2008). The moderating influence of privacy concern on the efficacy of privacy assurance mechanisms for building trust: A multiple-context investigation. ICIS 2008 Proceedings, 7.Barwise, P., & Strong, C. (2002). Permission‐based mobile advertising. Journal of interactive Marketing, 16(1), 14-24.Bashir, M., Hayes, C., Lambert, A. D., & Kesan, J. P. (2015). Online privacy and informed consent: The dilemma of information asymmetry. Proceedings of the Association for Information Science and Technology, 52(1), 1-10.Baumeister, R. F., Bratslavsky, E., Finkenauer, C., & Vohs, K. D. (2001). Bad is stronger than good. Review of general psychology, 5(4), 323-370.Beresford, A. R., & Stajano, F. (2003). Location privacy in pervasive computing. IEEE Pervasive computing, 2(1), 46-55.Cacioppo, J. T., & Petty, R. E. (1982). The need for cognition. Journal of Personality and Social Psychology, 42(1), 116-131. doi:10.1037/0022-3514.42.1.116Clemons, E. K., Wilson, J., Matt, C., Hess, T., Ren, F., Jin, F., & Koh, N. S. (2016). Global differences in online shopping behavior: Understanding factors leading to trust. Journal of Management Information Systems, 33(4), 1117-1148.Cohen, A. R., Stotland, E., & Wolfe, D. M. (1955). An experimental investigation of need for cognition. The Journal of Abnormal and Social Psychology, 51(2), 291.Corritore, C. L., Kracher, B., & Wiedenbeck, S. (2003). On-line trust: concepts, evolving themes, a model. International Journal of Human-Computer Studies, 58(6), 737-758.Culnan, M. J., & Bies, R. J. (2003). Consumer privacy: Balancing economic and justice considerations. Journal of Social Issues, 59(2), 323-342. doi:10.1111/1540-4560.00067Curseu, P. L. (2006). Need for cognition and rationality in decision-making. Studia Psychologica, 48(2), 141-156. Retrieved from ://WOS:000238382500005Dinev, T., & Hart, P. (2006). An Extended Privacy Calculus Model for E-Commerce Transactions. Information Systems Research, 17(1), 61-80. doi:10.1287/isre.1060.0080Ganguly, B., Dash, S. B., Cyr, D., & Head, M. (2010). The effects of website design on purchase intention in online shopping: the mediating role of trust and the moderating role of culture. International Journal of Electronic Business, 8(4-5), 302-330.Graeff, T. R., & Harmon, S. (2002). Collecting and using personal data: consumers’ awareness and concerns. Journal of consumer marketing.Gutierrez, A., O`Leary, S., Rana, N. P., Dwivedi, Y. K., & Calle, T. (2019). Using privacy calculus theory to explore entrepreneurial directions in mobile location-based advertising: Identifying intrusiveness as the critical risk factor. Computers in Human Behavior, 95, 295-306. doi:10.1016/j.chb.2018.09.015Haley, R. I., & Baldinger, A. L. (1991). The ARF copy research validity project. Journal of advertising research.Haugtvedt, C., Petty, R. E., Cacioppo, J. T., & Steidley, T. (1988). Personality and ad effectiveness: Exploring the utility of need for cognition. ACR North American Advances.Haugtvedt, C. P., Petty, R. E., & Cacioppo, J. T. (1992). Need for cognition and advertising: Understanding the role of personality variables in consumer behavior. Journal of Consumer Psychology, 1(3), 239-260.Ho, S. Y., & Chau, P. Y. K. (2013). The Effects of Location Personalization on Integrity Trust and Integrity Distrust in Mobile Merchants. International Journal of Electronic Commerce, 17(4), 39-72. doi:10.2753/jec1086-4415170402Hong, I. B., & Cha, H. S. (2013). The mediating role of consumer trust in an online merchant in predicting purchase intention. International Journal of Information Management, 33(6), 927-939.Jourard, S. M. (1958). A study of self-disclosure. Scientific American, 198(5), 77-86.Jourard, S. M. (1959). SELF-DISCLOSURE AND OTHER-CATHEXIS. Journal of Abnormal and Social Psychology, 59(3), 428-431. doi:10.1037/h0041640Junglas, I. A., Johnson, N. A., & Spitzmuller, C. (2008). Personality traits and concern for privacy: an empirical study in the context of location-based services. European Journal of Information Systems, 17(4), 387-402. doi:10.1057/ejis.2008.29Junglas, I. A., & Spitzmuller, C. (2005). A research model for studying privacy concerns pertaining to location-based services. Paper presented at the Proceedings of the 38th Annual Hawaii International Conference on System Sciences.Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31-36.Kang, J.-W., & Namkung, Y. (2019). The role of personalization on continuance intention in food service mobile apps. International Journal of Contemporary Hospitality Management, 31(2), 734-752. doi:10.1108/ijchm-12-2017-0783Kaufman, B. E. (1999). Emotional arousal as a source of bounded rationality. Journal of Economic Behavior & Organization, 38(2), 135-144. doi:10.1016/s0167-2681(99)00002-5Khan, R., Lewis, M., & Singh, V. (2009). Dynamic Customer Management and the Value of One-to-One Marketing. Marketing Science, 28(6), 1063-1079. doi:10.1287/mksc.1090.0497Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544-564.Ko, H., Cho, C.-H., & Roberts, M. S. (2005). Internet uses and gratifications: A structural equation model of interactive advertising. Journal of advertising, 34(2), 57-70.Kobsa, A. (2007). Privacy-enhanced personalization. Communications of the ACM, 50(8), 24-33.Koohikamali, M., Gerhart, N., & Mousavizadeh, M. (2015). Location disclosure on LB-SNAs: The role of incentives on sharing behavior. Decision Support Systems, 71, 78-87.Kraemer, H. C., & Blasey, C. M. (2004). Centring in regression analyses: a strategy to prevent errors in statistical inference. International journal of methods in psychiatric research, 13(3), 141-151.Lee, D. H., Im, S., & Taylor, C. R. (2008). Voluntary self-disclosure of information on the internet: A multimethod study of the motivations and consequences of disclosing information on blogs. Psychology & Marketing, 25(7), 692-710. doi:10.1002/mar.20232Lee, H., Park, H., & Kim, J. (2013). Why do people share their context information on Social Network Services? A qualitative study and an experimental study on users` behavior of balancing perceived benefit and risk. International Journal of Human-Computer Studies, 71(9), 862-877.Lee, J.-M., & Rha, J.-Y. (2016). Personalization–privacy paradox and consumer conflict with the use of location-based mobile commerce. Computers in Human Behavior, 63, 453-462. doi:10.1016/j.chb.2016.05.056Lewicki, R. J., Mcallister, D., & Bies, R. (2006). Trust and distrust. The negotiator’s fieldbook: The desk reference for the experienced negotiator, 191-202.Lewicki, R. J., McAllister, D. J., & Bies, R. J. (1998). Trust and distrust: New relationships and realities. Academy of management Review, 23(3), 438-458.Lin, C.-L., Lee, S.-H., & Horng, D.-J. (2011). The effects of online reviews on purchasing intention: The moderating role of need for cognition. Social Behavior and Personality: an international journal, 39(1), 71-81.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.Mavlanova, T., Benbunan-Fich, R., & Koufaris, M. (2012). Signaling theory and information asymmetry in online commerce. Information & Management, 49(5), 240-247.Merchant, K. A. (1985). Organizational controls and discretionary program decision making: A field study. Accounting, Organizations and Society, 10(1), 67-85. doi:10.1016/0361-3682(85)90032-7Milne, 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. doi:10.1177/074391569101200206Nemec, Z., Welzer, Hölbl, Heričko, & Kamišalić. (2019). A Model of Perception of Privacy, Trust, and Self-Disclosure on Online Social Networks. Entropy, 21(8), 772. doi:10.3390/e21080772Norberg, 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.Nunnally, J. C., & Bernstein, I. H. (1994). Psychological theory. In: New York: McGraw-Hill.Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. In Communication and persuasion (pp. 1-24): Springer.Ponte, E. B., Carvajal-Trujillo, E., & Escobar-Rodríguez, T. (2015). Influence of trust and perceived value on the intention to purchase travel online: Integrating the effects of assurance on trust antecedents. Tourism Management, 47, 286-302.Shaw, N. (2014). The mediating influence of trust in the adoption of the mobile wallet. Journal of Retailing and Consumer Services, 21(4), 449-459.Stouthuysen, K., Teunis, I., Reusen, E., & Slabbinck, H. (2018). Initial trust and intentions to buy: The effect of vendor-specific guarantees, customer reviews and the role of online shopping experience☆. Electronic Commerce Research and Applications, 27, 23-38.Sun, Y., Fang, S., & Hwang, Y. (2019). Investigating Privacy and Information Disclosure Behavior in Social Electronic Commerce. Sustainability, 11(12), 3311. doi:10.3390/su11123311Sun, Y. Q., Wang, N., Shen, X. L., & Zhang, J. X. (2015). Location information disclosure in location-based social network services: Privacy calculus, benefit structure, and gender differences. Computers in Human Behavior, 52, 278-292. doi:10.1016/j.chb.2015.06.006Sutanto, 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 quarterly, 1141-1164.Tsai, J. Y., Egelman, S., Cranor, L., & Acquisti, A. (2011). The effect of online privacy information on purchasing behavior: An experimental study. Information Systems Research, 22(2), 254-268.Wang, L., Hu, H. H., Yan, J., & Mei, M. Q. Z. (2020). Privacy calculus or heuristic cues? The dual process of privacy decision making on Chinese social media. Journal of Enterprise Information Management, 33(2), 353-380. doi:10.1108/jeim-05-2019-0121Wang, 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. doi:10.1016/j.ijinfomgt.2016.03.003Watts, L. L., Steele, L. M., & Song, H. (2017). Re-examining the relationship between need for cognition and creativity: Predicting creative problem solving across multiple domains. Creativity Research Journal, 29(1), 21-28.Wedel, M., & Kannan, P. K. (2016). Marketing Analytics for Data-Rich Environments. Journal of Marketing, 80(6), 97-121. doi:10.1509/jm.15.0413Xie, E., Teo, H.-H., & Wan, W. (2006). Volunteering personal information on the internet: Effects of reputation, privacy notices, and rewards on online consumer behavior. Marketing letters, 17(1), 61-74.Xu, H., & Gupta, S. (2009). The effects of privacy concerns and personal innovativeness on potential and experienced customers’ adoption of location-based services. Electronic Markets, 19(2-3), 137-149. doi:10.1007/s12525-009-0012-4Xu, 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. doi:10.1016/j.dss.2010.11.017Xu, 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. doi:10.2753/mis0742-1222260305Zhao, L., Lu, Y., & Gupta, S. (2012). Disclosure Intention of Location-Related Information in Location-Based Social Network Services. International Journal of Electronic Commerce, 16(4), 53-90. doi:10.2753/jec1086-4415160403Zhou, T. (2012). EXAMINING LOCATION-BASED SERVICES USAGE FROM THE PERSPECTIVES OF UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY AND PRIVACY RISK. Journal of Electronic Commerce Research, 13(2), 135-144. Retrieved from ://WOS:000306949900003Zhu, H., Ou, C. X., van den Heuvel, W.-J. A., & Liu, H. (2017). Privacy calculus and its utility for personalization services in e-commerce: An analysis of consumer decision-making. Information & Management, 54(4), 427-437. zh_TW dc.identifier.doi (DOI) 10.6814/NCCU202100152 en_US