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    题名: 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
    贡献者: 簡睿哲
    Jean, Ruey-Jer
    連婉宜
    Lien, Wan-Yi
    关键词: 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
    上传时间: 2021-02-01 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:10.1145/3380799.3380803

    Akerlof, 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.2006.03.002

    Awad, 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 <Go to ISI>://WOS:000235602600002

    Bansal, 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:10.1037/0022-3514.42.1.116

    Clemons, 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:10.1111/1540-4560.00067

    Curseu, P. L. (2006). Need for cognition and rationality in decision-making. Studia Psychologica, 48(2), 141-156. Retrieved from <Go to ISI>://WOS:000238382500005

    Dinev, T., & Hart, P. (2006). An Extended Privacy Calculus Model for E-Commerce Transactions. Information Systems Research, 17(1), 61-80. doi:10.1287/isre.1060.0080

    Ganguly, 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.2018.09.015

    Haley, 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/jec1086-4415170402

    Hong, 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/h0041640

    Junglas, 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.2008.29

    Junglas, 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-12-2017-0783

    Kaufman, 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)00002-5

    Khan, 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.1090.0497

    Kim, 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.20232

    Lee, 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.2016.05.056

    Lewicki, 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)90032-7

    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. doi:10.1177/074391569101200206

    Nemec, 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/e21080772

    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.

    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/su11123311

    Sun, 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.2015.06.006

    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 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-05-2019-0121

    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. doi:10.1016/j.ijinfomgt.2016.03.003

    Watts, 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.15.0413

    Xie, 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/s12525-009-0012-4

    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. doi:10.1016/j.dss.2010.11.017

    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. doi:10.2753/mis0742-1222260305

    Zhao, 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/jec1086-4415160403

    Zhou, 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 <Go to ISI>://WOS:000306949900003

    Zhu, 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
    数据类型: thesis
    DOI: 10.6814/NCCU202100152
    显示于类别:[國際經營與貿易學系 ] 學位論文

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