IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v49y2015i4p1531-1548.html
   My bibliography  Save this article

Facebook discontinuance: discontinuance as a temporal settlement of the constant interplay between disturbance and coping

Author

Listed:
  • In Cho

Abstract

Despite the progress made in acceptance, implementation and usage research at both the individual and organizational levels of analysis, ICT failures and dropouts continue in various contexts. In addition, with respect to Facebook, and SNSs in general, we are also witnessing people deactivating their accounts, deciding not to use them or simply losing their interests in SNSs without doing anything consciously. The current study discusses how the Heideggerian perspective with regard to equipment or technology can help us to understand technology discontinuance. By employing the grounded theory, the study tries to find sources of disturbance which can lead to the phenomenon of Facebook discontinuance, skillful coping and the modes of deliberation which can capture how disturbances trigger reflective thought on technological practices. For this purpose, the study present a theory of Facebook discontinuance and explores its components which are identified as axial codes in the study. In addition, the meaning of discontinuance is discussed. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • In Cho, 2015. "Facebook discontinuance: discontinuance as a temporal settlement of the constant interplay between disturbance and coping," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1531-1548, July.
    • Handle: RePEc:spr:qualqt:v:49:y:2015:i:4:p:1531-1548
    DOI: 10.1007/s11135-015-0225-x
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11135-015-0225-x
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11135-015-0225-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lee Sproull & Sara Kiesler, 1986. "Reducing Social Context Cues: Electronic Mail in Organizational Communication," Management Science, INFORMS, vol. 32(11), pages 1492-1512, November.
    2. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    3. Madhavan Parthasarathy & Anol Bhattacherjee, 1998. "Understanding Post-Adoption Behavior in the Context of Online Services," Information Systems Research, INFORMS, vol. 9(4), pages 362-379, December.
    4. Dvora Yanow & Haridimos Tsoukas, 2009. "What is Reflection‐In‐Action? A Phenomenological Account," Journal of Management Studies, Wiley Blackwell, vol. 46(8), pages 1339-1364, December.
    5. Terri L. Griffith & David A. Tansik & Lehman Benson, 2002. "Negotiating Technology Implementation: An Empirical Investigation of a Website Introduction," Group Decision and Negotiation, Springer, vol. 11(1), pages 1-22, January.
    6. Gerardine DeSanctis & Marshall Scott Poole, 1994. "Capturing the Complexity in Advanced Technology Use: Adaptive Structuration Theory," Organization Science, INFORMS, vol. 5(2), pages 121-147, May.
    7. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    8. Wanda J. Orlikowski & Daniel Robey, 1991. "Information Technology and the Structuring of Organizations," Information Systems Research, INFORMS, vol. 2(2), pages 143-169, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Katarzyna Maciejowska & Arkadiusz Jedrzejewski & Anna Kowalska-Pyzalska & Katarzyna Sznajd-Weron & Rafal Weron, 2015. "Two faces of word-of-mouth: Understanding the impact of social interactions on demand curves for innovative products," HSC Research Reports HSC/15/09, Hugo Steinhaus Center, Wroclaw University of Technology.
    2. Davit Marikyan & Savvas Papagiannidis & Eleftherios Alamanos, 2023. "Cognitive Dissonance in Technology Adoption: A Study of Smart Home Users," Information Systems Frontiers, Springer, vol. 25(3), pages 1101-1123, June.
    3. Jung, Kyujin & Valero, Jesus N., 2016. "Assessing the evolutionary structure of homeless network: Social media use, keywords, and influential stakeholders," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 51-60.
    4. Sarah M Hanley & Susan E Watt & William Coventry, 2019. "Taking a break: The effect of taking a vacation from Facebook and Instagram on subjective well-being," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-13, June.
    5. Ayesha Masood & Adeel Luqman & Yang Feng & Fakhar Shahzad, 2022. "Untangling the Adverse Effect of SNS Stressors on Academic Performance and Its Impact on Students’ Social Media Discontinuation Intention: The Moderating Role of Guilt," SAGE Open, , vol. 12(1), pages 21582440221, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Netsanet Haile & Jörn Altmann, 2016. "Structural analysis of value creation in software service platforms," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(2), pages 129-142, May.
    2. Sharath Sasidharan & Radhika Santhanam & Daniel J. Brass & Vallabh Sambamurthy, 2012. "The Effects of Social Network Structure on Enterprise Systems Success: A Longitudinal Multilevel Analysis," Information Systems Research, INFORMS, vol. 23(3-part-1), pages 658-678, September.
    3. Meissner, Jens O., 2005. "Relationship Quality in the Context of Computer-Mediated Communication - A social constructionist approach," Working papers 2005/15, Faculty of Business and Economics - University of Basel.
    4. Abdesamad Zouine & Pierre Fenies, 2014. "The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology," Post-Print hal-01419785, HAL.
    5. Yu Wang & Shanyong Wang & Jing Wang & Jiuchang Wei & Chenglin Wang, 2020. "An empirical study of consumers’ intention to use ride-sharing services: using an extended technology acceptance model," Transportation, Springer, vol. 47(1), pages 397-415, February.
    6. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    7. Ofir Turel & Catherine E. Connelly, 2012. "Team Spirit: The Influence of Psychological Collectivism on the Usage of E-Collaboration Tools," Group Decision and Negotiation, Springer, vol. 21(5), pages 703-725, September.
    8. Globisch, Joachim & Dütschke, Elisabeth & Schleich, Joachim, 2018. "Acceptance of electric passenger cars in commercial fleets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 122-129.
    9. Niyazi Gümüº & Özgür Çark, 2021. "The effect of customers’ attitudes towards chatbots on their experience and behavioral intention in Turkey," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 19(3), pages 420-436.
    10. Meena, Rahul & Sarabhai, Samar, 2023. "Extrinsic and intrinsic motivators for usage continuance of hedonic mobile apps," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    11. Michael Addotey-Delove & Richard E. Scott & Maurice Mars, 2023. "Healthcare Workers’ Perspectives of mHealth Adoption Factors in the Developing World: Scoping Review," IJERPH, MDPI, vol. 20(2), pages 1-27, January.
    12. Yi Sun & Shihui Li & Lingling Yu, 2022. "The dark sides of AI personal assistant: effects of service failure on user continuance intention," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 17-39, March.
    13. Nistor, Cristian, 2013. "A conceptual model for the use of social media in companies," MPRA Paper 44224, University Library of Munich, Germany.
    14. Xu, Jinying & Lu, Weisheng, 2022. "Developing a human-organization-technology fit model for information technology adoption in organizations," Technology in Society, Elsevier, vol. 70(C).
    15. Kawsar Ahmad & Arifuzzaman Arifuzzaman & Abdullah Al Mamun & Junayed Md Khaled Bin Oalid, 2021. "Impact of consumer’s security, benefits and usefulness towards cashless transaction within Malaysian university student," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 10(2), pages 238-250, March.
    16. Peter Bou Saba & Régis Meissonier, 2016. "Conflict contagion effects from previous IT projects: action research during preliminary phases of a DST implementation project [Effets de contagion de conflits de projets TI antérieurs:Une recherc," Post-Print hal-02161336, HAL.
    17. Sarv Devaraj & Ming Fan & Rajiv Kohli, 2002. "Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics," Information Systems Research, INFORMS, vol. 13(3), pages 316-333, September.
    18. Youngcheoul Kang & Nakbum Choi & Seoyong Kim, 2021. "Searching for New Model of Digital Informatics for Human–Computer Interaction: Testing the Institution-Based Technology Acceptance Model (ITAM)," IJERPH, MDPI, vol. 18(11), pages 1-36, May.
    19. Meng Tao & Muhammad Zahid Nawaz & Shahid Nawaz & Asad Hassan Butt & Hassan Ahmad, 2018. "Users’ acceptance of innovative mobile hotel booking trends: UK vs. PRC," Information Technology & Tourism, Springer, vol. 20(1), pages 9-36, December.
    20. Al-Qeisi, Kholoud & Dennis, Charles & Alamanos, Eleftherios & Jayawardhena, Chanaka, 2014. "Website design quality and usage behavior: Unified Theory of Acceptance and Use of Technology," Journal of Business Research, Elsevier, vol. 67(11), pages 2282-2290.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:qualqt:v:49:y:2015:i:4:p:1531-1548. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.