English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113822/144841 (79%)
Visitors : 51824318      Online Users : 570
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
    政大機構典藏 > 商學院 > 資訊管理學系 > 學位論文 >  Item 140.119/146571
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/146571


    Title: 個體對於社群媒體廣告產生之科技壓力緩解策略
    Mitigating Individual Technostress: Strategies for Coping with Targeted Advertising on Social Media
    Authors: 蘇瑜婷
    Su, Yu-Ting
    Contributors: 周致遠
    Chou, Chih-Yuan
    蘇瑜婷
    Su, Yu-Ting
    Keywords: 目標式廣告
    社交媒體
    科技壓力
    應對
    資訊過量
    感知侵入性
    隱私關注
    詐騙
    Targeted advertising
    Social media
    Technostress
    Coping
    Information overload
    Perceived intrusiveness
    Privacy concern
    Fraudulent advertising
    Date: 2023
    Issue Date: 2023-08-02 14:04:31 (UTC+8)
    Abstract: 本篇研究中,我們著重探討社群媒體上的目標式廣告 (Targeted advertising) 帶給使用者的四個負面影響:資訊過量、感知侵入性、隱私關注和詐騙。在使用資訊通訊科技 (Information and communication technology, ICT)時所產生壓力稱為科技壓力,社群媒體即屬於ICT的一種。本篇論文主要欲探討在社群媒體中遇到頻繁且大量的目標式廣告時,使用者科技壓力的形成機制,以及個體是如何緩解及應對所產生的科技壓力。為了研究這兩個議題,我們引用了科技壓力理論與應對理論,並且採用質性研究方法來獲取使用者更深層且豐富的想法和應對策略。通過這樣的研究,我們能夠在廣告領域的文獻,以及資訊系統領域的文獻皆有所貢獻,並且得以協助個體無論是在工作還是休閒時間使用社群媒體時,都能夠輕鬆的面對大量且頻繁的目標式廣告。本篇研究也提供社群媒體平台三個面向的建議,提供他們在廣告所帶來龐大商業利益,以及使用者們的使用體驗之間達成平衡,共創美好的社群媒體使用生態。
    In this paper, we explore the effects of targeted advertising on social media (SM). Our main focus is on four key factors: information overload, perceived intrusiveness, privacy concerns and fraudulence. The goal is to identify the mechanism of technostress development and the ways for individuals to manage the resulting technostress caused by targeted advertising on social media. To achieve this, we draw on technostress theory and coping theory, using qualitative methods to gain insights into people`s perceptions and coping strategies. By doing so, we contribute to the literature on advertising and information systems (IS), and help individuals reduce technostress in both their work and personal use of social media when they encounter targeted advertising. Our research also provides insights that social media platforms can consider as they aim to enhance their advertising practices, finding a delicate equilibrium between revenue generation and user experience.
    Reference: Athey, S., & Gans, J. S. (2010). The impact of targeting technology on advertising markets and media competition. American Economic Review, 100(2), 608-613.
    Ayyagari, R. (2012, March 23-24). Impact of information overload and task-technology fit on technostress. The 14th Southern Association for Information Systems (SAIS 2012), Atlanta, GA, USA.
    Ayyagari, R., Grover, V., & Purvis, R. (2011). Technostress: Technological antecedents and implications. MIS Quarterly, 35(4), 831-858.
    Bright, L. F., Kleiser, S. B., & Grau, S. L. (2015). Too much Facebook? An exploratory examination of social media fatigue. Computers in Human Behavior, 44, 148-155.
    Brooks, S., & Califf, C. (2017). Social media-induced technostress: Its impact on the job performance of it professionals and the moderating role of job characteristics. Computer Networks, 114, 143-153.
    Brooks, S., Longstreet, P., & Califf, C. (2017). Social media induced technostress and its impact on Internet addiction: A distraction-conflict theory perspective. AIS Transactions on Human-Computer Interaction, 9(2), 99-122.
    Bucher, E., Fieseler, C., & Suphan, A. (2013). The stress potential of social media in the workplace. Information, Communication & Society, 16(10), 1639-1667.
    Burke, P. J. (1991). Identity processes and social stress. American Sociological Review, 56(6), 836-849.
    Carver, C. S., Scheier, M. F., & Weintraub, J. K. (1989). Assessing coping strategies: a theoretically based approach. Journal of Personality and Social Psychology, 56(2), 267.
    Chen, J. V., Tran, A., & Nguyen, T. (2019). Understanding the discontinuance behavior of mobile shoppers as a consequence of technostress: An application of the stress-coping theory. Computers in Human Behavior, 95, 83-93.
    Chen, X., & Wei, S. (2019). Enterprise social media use and overload: A curvilinear relationship. Journal of Information Technology, 34(1), 22-38.
    Cooper, C. L., Dewe, P. J., & O`Driscoll, M. P. (2001). Organizational stress: A review and critique of theory, research, and applications. SAGE.
    Cram, W. A., Wiener, M., Tarafdar, M., & Benlian, A. (2022). Examining the impact of algorithmic control on Uber drivers’ technostress. Journal of Management Information Systems, 39(2), 426-453.
    Dhir, A., Yossatorn, Y., Kaur, P., & Chen, S. (2018). Online social media fatigue and psychological wellbeing—A study of compulsive use, fear of missing out, fatigue, anxiety and depression. International Journal of Information Management, 40, 141-152.
    Edwards, S. M., Li, H., & Lee, J.-H. (2002). Forced exposure and psychological reactance: Antecedents and consequences of the perceived intrusiveness of pop-up ads. Journal of advertising, 31(3), 83-95.
    Eppler, M. J., & Mengis, J. (2008). The concept of information overload-a review of literature from organization science, accounting, marketing, mis, and related disciplines (2004). Kommunikationsmanagement im Wandel, 271-305.
    Folkman, S., & Lazarus, R. S. (1985). If it changes it must be a process: study of emotion and coping during three stages of a college examination. Journal of Personality and Social Psychology, 48(1), 150-170.
    Folkman, S., Lazarus, R. S., Gruen, R. J., & DeLongis, A. (1986). Appraisal, coping, health status, and psychological symptoms. Journal of Personality and Social Psychology, 50(3), 571-579.
    Fontana, A., & Frey, J. H. (2000). The interview: From structured questions to negotiated text. Handbook of Qualitative Research, 2(6), 645-672.
    Fox, J., & Moreland, J. J. (2015). The dark side of social networking sites: An exploration of the relational and psychological stressors associated with Facebook use and affordances. Computers in Human Behavior, 45, 168-176.
    Fu, S., Li, H., Liu, Y., Pirkkalainen, H., & Salo, M. (2020). Social media overload, exhaustion, and use discontinuance: Examining the effects of information overload, system feature overload, and social overload. Information Processing & Management, 57(6), 102307.
    Galluch, P. S., Grover, V., & Thatcher, J. B. (2015). Interrupting the workplace: Examining stressors in an information technology context. Journal of the Association for Information Systems, 16(1), 2.
    Gao, W., Liu, Z., Guo, Q., & Li, X. (2018). The dark side of ubiquitous connectivity in smartphone-based SNS: An integrated model from information perspective. Computers in Human Behavior, 84, 185-193.
    Goodrich, K., Schiller, S. Z., & Galletta, D. (2015). Consumer reactions to intrusiveness of online-video advertisements: do length, informativeness, and humor help (or hinder) marketing outcomes? Journal of advertising research, 55(1), 37-50.
    Houli, D., & Radford, M. (2020). An exploratory study using mindfulness meditation apps to buffer workplace technostress and information overload. Proceedings of the Association for Information Science and Technology, 57(1), e373.
    Hoy, M. G., & Milne, G. (2010). Gender differences in privacy-related measures for young adult Facebook users. Journal of Interactive Advertising, 10(2), 28-45.
    Iyer, G., Soberman, D., & Villas-Boas, J. M. (2005). The targeting of advertising. Marketing Science, 24(3), 461-476.
    Jacoby, J., Speller, D. E., & Kohn, C. A. (1974). Brand choice behavior as a function of information load. Journal of Marketing Research, 11(1), 63-69.
    Johnson, G. A., Shriver, S. K., & Du, S. (2020). Consumer privacy choice in online advertising: Who opts out and at what cost to industry? Marketing Science, 39(1), 33-51.
    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.
    Kim, H., & Huh, J. (2017). Perceived relevance and privacy concern regarding online behavioral advertising (OBA) and their role in consumer responses. Journal of Current Issues & Research in Advertising, 38(1), 92-105.
    Klein, H. K., & Myers, M. D. (1999). A set of principles for conducting and evaluating interpretive field studies in information systems. MIS Quarterly, 23(1), 67-93.
    Krischer, M. M., Penney, L. M., & Hunter, E. M. (2010). Can counterproductive work behaviors be productive? CWB as emotion-focused coping. Journal of Occupational Health Psychology, 15(2), 154-166.
    Kröger, J. L., Lutz, O. H.-M., & Raschke, P. (2019). Privacy implications of voice and speech analysis–information disclosure by inference. Springer.
    Kröger, J. L., & Raschke, P. (2019, July 15-17). Is my phone listening in? On the feasibility and detectability of mobile eavesdropping. The 33rd IFIP Annual Conference on Data and Applications Security and Privacy, Charleston, SC, USA.
    Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. Springer.
    Li, H., Edwards, S. M., & Lee, J.-H. (2002). Measuring the intrusiveness of advertisements: Scale development and validation. Journal of advertising, 31(2), 37-47.
    Lorente, L., Vera, M., & Peiró, T. (2021). Nurses stressors and psychological distress during the COVID‐19 pandemic: The mediating role of coping and resilience. Journal of Advanced Nursing, 77(3), 1335-1344.
    Lune, H., & Berg, B. L. (2017). Qualitative research methods for the social sciences (9th ed.). Pearson.
    Luqman, A., Cao, X., Ali, A., Masood, A., & Yu, L. (2017). Empirical investigation of Facebook discontinues usage intentions based on SOR paradigm. Computers in Human Behavior, 70, 544-555.
    Maier, C., Laumer, S., Eckhardt, A., & Weitzel, T. (2015a). Giving too much social support: Social overload on social networking sites. European Journal of Information Systems, 24(5), 447-464.
    Maier, C., Laumer, S., Weinert, C., & Weitzel, T. (2015b). The effects of technostress and switching stress on discontinued use of social networking services: a study of Facebook use. Information Systems Journal, 25(3), 275-308.
    Mandler, G. (1982). Stress and thought processes. Free Press.
    Myers, M. (1997). Qualitative research in information systems. MIS Quarterly, 21(2), 241-242.
    Myers, M. D., & Newman, M. (2007). The qualitative interview in IS research: Examining the craft. Information and organization, 17(1), 2-26.
    Nimrod, G. (2018). Technostress: Measuring a new threat to well-being in later life. Aging & Mental Health, 22(8), 1086-1093.
    Patton, M. (1990). Purposeful sampling. Qualitative Evaluation and Research Methods, 2, 169-186.
    Pentland, B. T. (1999). Building process theory with narrative: From description to explanation. Academy of Management Review, 24(4), 711-724.
    Ragu-Nathan, T., Tarafdar, M., Ragu-Nathan, B. S., & Tu, Q. (2008). The consequences of technostress for end users in organizations: Conceptual development and empirical validation. Information Systems Research, 19(4), 417-433.
    Salo, M., Pirkkalainen, H., Chua, C. E. H., & Koskelainen, T. (2022). Formation and Mitigation of Technostress in the Personal Use of IT. MIS Quarterly, 46(2), 1073-1108.
    Salo, M., Pirkkalainen, H., & Koskelainen, T. (2019). Technostress and social networking services: Explaining users` concentration, sleep, identity, and social relation problems. Information Systems Journal, 29(2), 408-435.
    Statista. (2022). Number of monthly active Facebook users worldwide as of 2rd quarter 2022. Retrieved Aug 20, 2022 from https://www.statista.com/statistics/264810/number-of-monthly-active-facebook-users-worldwide/
    Struthers, C. W., Perry, R. P., & Menec, V. H. (2000). An examination of the relationship among academic stress, coping, motivation, and performance in college. Research in Higher Education, 41(5), 581-592.
    Swar, B., Hameed, T., & Reychav, I. (2017). Information overload, psychological ill-being, and behavioral intention to continue online healthcare information search. Computers in Human Behavior, 70, 416-425.
    Tams, S., Ahuja, M., Thatcher, J., & Grover, V. (2020). Worker stress in the age of mobile technology: The combined effects of perceived interruption overload and worker control. The Journal of Strategic Information Systems, 29(1), 101595.
    Tarafdar, M., Cooper, C. L., & Stich, J. F. (2019). The technostress trifecta‐techno eustress, techno distress and design: Theoretical directions and an agenda for research. Information Systems Journal, 29(1), 6-42.
    Tarafdar, M., Maier, C., Laumer, S., & Weitzel, T. (2020). Explaining the link between technostress and technology addiction for social networking sites: A study of distraction as a coping behavior. Information Systems Journal, 30(1), 96-124.
    Tarafdar, M., Tu, Q., & Ragu-Nathan, T. (2010). Impact of technostress on end-user satisfaction and performance. Journal of Management Information Systems, 27(3), 303-334.
    Trusov, M., Bodapati, A. V., & Bucklin, R. E. (2010). Determining influential users in internet social networks. Journal of Marketing Research, 47(4), 643-658.
    Ur, B., Leon, P. G., Cranor, L. F., Shay, R., & Wang, Y. (2012, July 11-13). Smart, useful, scary, creepy: Perceptions of online behavioral advertising. The 8th Symposium on Usable Privacy and Security (SOUPS 2012), Washington, D.C., USA.
    Villiard, H., & Moreno, M. A. (2012). Fitness on facebook: advertisements generated in response to profile content. Cyberpsychology, Behavior, and Social Networking, 15(10), 564-568.
    Whiting, A., & Williams, D. (2013). Why people use social media: A uses and gratifications approach. Qualitative Market Research, 16(4), 362-369.
    Worthington, E. L., & Scherer, M. (2004). Forgiveness is an emotion-focused coping strategy that can reduce health risks and promote health resilience: Theory, review, and hypotheses. Psychology & Health, 19(3), 385-405.
    Youn, S., & Kim, S. (2019). Understanding ad avoidance on Facebook: Antecedents and outcomes of psychological reactance. Computers in Human Behavior, 98, 232-244.
    Description: 碩士
    國立政治大學
    資訊管理學系
    110356007
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0110356007
    Data Type: thesis
    Appears in Collections:[資訊管理學系] 學位論文

    Files in This Item:

    File Description SizeFormat
    600701.pdf1897KbAdobe PDF20View/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