IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v24y2022i2d10.1007_s10796-021-10110-2.html
   My bibliography  Save this article

Personality Antecedents and Consequences of Internet Addiction Vis-à-vis Internet Habit: a Theory and an Empirical Investigation

Author

Listed:
  • Jungwon Kuem

    (State University of New York–Albany)

  • Soumya Ray

    (National Tsing Hua University)

Abstract

Researchers in information systems have studied how nonintentional elements of our psychology such as personality, addiction, and even sheer habit, can waylay us from our original purpose of using information technology. This study seeks to reintegrate these elements to present a holistic framework comparing Internet addiction with Internet habit in terms of their antecedent personality factors and their consequences. We tested the framework against data from a time-lagged survey of Internet users. As hypothesized, sensation seeking, neuroticism, and dysfunctional impulsivity influenced Internet addiction. In comparison, only neuroticism and dysfunctional impulsivity were significant in Internet habit. Furthermore, Internet addiction influences relative usage and negative outcomes, and habit further increases its influence on negative outcomes. Our findings contribute to the body of knowledge by showing the personality antecedents and behavioral consequences of Internet addiction, and by highlighting the similarity, difference, and interaction between Internet habit and Internet addiction.

Suggested Citation

  • Jungwon Kuem & Soumya Ray, 2022. "Personality Antecedents and Consequences of Internet Addiction Vis-à-vis Internet Habit: a Theory and an Empirical Investigation," Information Systems Frontiers, Springer, vol. 24(2), pages 579-594, April.
    • Handle: RePEc:spr:infosf:v:24:y:2022:i:2:d:10.1007_s10796-021-10110-2
    DOI: 10.1007/s10796-021-10110-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-021-10110-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10796-021-10110-2?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. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    3. Emmanuel W. Ayaburi & James Wairimu & Francis Kofi Andoh-Baidoo, 2019. "Antecedents and Outcome of Deficient Self-Regulation in Unknown Wireless Networks Use Context: An Exploratory Study," Information Systems Frontiers, Springer, vol. 21(6), pages 1213-1229, December.
    4. Hyeokkoo Eric Kwon & Hyunji So & Sang Pil Han & Wonseok Oh, 2016. "Excessive Dependence on Mobile Social Apps: A Rational Addiction Perspective," Information Systems Research, INFORMS, vol. 27(4), pages 919-939, December.
    5. Todd Mooradian & Kurt Matzler & Lisa Szykman, 2008. "Empathetic responses to advertising: Testing a network of antecedents and consequences," Marketing Letters, Springer, vol. 19(2), pages 79-92, June.
    6. Naresh K. Malhotra & Sung S. Kim & Ashutosh Patil, 2006. "Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research," Management Science, INFORMS, vol. 52(12), pages 1865-1883, December.
    7. Carlos Tam & Diogo Santos & Tiago Oliveira, 2020. "Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model," Information Systems Frontiers, Springer, vol. 22(1), pages 243-257, February.
    8. Sung S. Kim & Naresh K. Malhotra, 2005. "A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena," Management Science, INFORMS, vol. 51(5), pages 741-755, May.
    9. Simon Kloker, 2020. "Non-addictive Information Systems," Information Systems Frontiers, Springer, vol. 22(3), pages 549-562, June.
    10. Sung S. Kim & Naresh K. Malhotra & Sridhar Narasimhan, 2005. "Research Note—Two Competing Perspectives on Automatic Use: A Theoretical and Empirical Comparison," Information Systems Research, INFORMS, vol. 16(4), pages 418-432, December.
    Full references (including those not matched with items on IDEAS)

    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. Lin Jia & Xiuwei Song & Dianne Hall, 2022. "Influence of Habits on Mobile Payment Acceptance: An Ecosystem Perspective," Information Systems Frontiers, Springer, vol. 24(1), pages 247-266, February.
    2. Suzy Jagger & Haytham Siala & Diane Sloan, 2016. "It's All in the Game: A 3D Learning Model for Business Ethics," Journal of Business Ethics, Springer, vol. 137(2), pages 383-403, August.
    3. 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.
    4. Morteza Ghobakhloo & Masood Fathi, 2019. "Modeling the Success of Application-Based Mobile Banking," Economies, MDPI, vol. 7(4), pages 1-21, November.
    5. Kum Fai Yuen & Do Thi Khanh Huyen & Xueqin Wang & Guanqiu Qi, 2020. "Factors Influencing the Adoption of Shared Autonomous Vehicles," IJERPH, MDPI, vol. 17(13), pages 1-17, July.
    6. Baudier, Patricia & Ammi, Chantal & Deboeuf-Rouchon, Matthieu, 2020. "Smart home: Highly-educated students' acceptance," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    7. Gerpott, Torsten J. & Thomas, Sandra, 2014. "Empirical research on mobile Internet usage: A meta-analysis of the literature," Telecommunications Policy, Elsevier, vol. 38(3), pages 291-310.
    8. Ahmad Almagrashi & Abdulwahab Mujalli & Tehmina Khan & Osama Attia, 2023. "Factors determining internal auditors’ behavioral intention to use computer-assisted auditing techniques: an extension of the UTAUT model and an empirical study," Future Business Journal, Springer, vol. 9(1), pages 1-19, December.
    9. Escobar-Rodríguez, T. & Carvajal-Trujillo, E., 2014. "Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT) model," Tourism Management, Elsevier, vol. 43(C), pages 70-88.
    10. Kamal Abubker Abrahim Sleiman & Wang Jin & Lan Juanli & Hong Zhen Lei & Jingyi Cheng & Yuanxin Ouyang & Wenge Rong, 2022. "The Factors of Continuance Intention to Use Mobile Payments in Sudan," SAGE Open, , vol. 12(3), pages 21582440221, August.
    11. Mäntymäki, Matti & Merikivi, Jani & Verhagen, Tibert & Feldberg, Frans & Rajala, Risto, 2014. "Does a contextualized theory of planned behavior explain why teenagers stay in virtual worlds?," International Journal of Information Management, Elsevier, vol. 34(5), pages 567-576.
    12. Marie Schill & Delphine Godefroit-Winkel & Mbaye Fall Diallo & Camilla Barbarossa, 2019. "Consumers’ intentions to purchase smart home objects: Do environmental issues matter?," Post-Print hal-02091348, HAL.
    13. Xiao Ma & Seung Hyun Kim & Sung S. Kim, 2014. "Online Gambling Behavior: The Impacts of Cumulative Outcomes, Recent Outcomes, and Prior Use," Information Systems Research, INFORMS, vol. 25(3), pages 511-527, September.
    14. Guoyin Jiang & Feicheng Ma & Youtian Wang, 2012. "A review on the evolution of user acceptance behaviour in collaborative e-commerce," International Journal of Electronic Finance, Inderscience Enterprises Ltd, vol. 6(1), pages 62-78.
    15. Zhang, Nan & Wang, Chong & Xu, Yan, 2012. "Social networking sites users' affective commitment: A combined view," 19th ITS Biennial Conference, Bangkok 2012: Moving Forward with Future Technologies - Opening a Platform for All 72542, International Telecommunications Society (ITS).
    16. Yu-Ping Lee & Hsin-Yeh Tsai & Athapol Ruangkanjanases, 2020. "The Determinants for Food Safety Push Notifications on Continuance Intention in an E-Appointment System for Public Health Medical Services: The Perspectives of UTAUT and Information System Quality," IJERPH, MDPI, vol. 17(21), pages 1-15, November.
    17. Riccardo Reith & Maximilian Fischer & Bettina Lis, 2020. "Explaining the intention to use social trading platforms: an empirical investigation," Journal of Business Economics, Springer, vol. 90(3), pages 427-460, April.
    18. Nascimento, Bruno & Oliveira, Tiago & Tam, Carlos, 2018. "Wearable technology: What explains continuance intention in smartwatches?," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 157-169.
    19. Lam, Shun Yin & Chiang, Jeongwen & Parasuraman, A., 2008. "The effects of the dimensions of technology readiness on technology acceptance: An empirical analysis," Journal of Interactive Marketing, Elsevier, vol. 22(4), pages 19-39.
    20. Maduku, Daniel K. & Thusi, Philile, 2023. "Understanding consumers' mobile shopping continuance intention: New perspectives from South Africa," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).

    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:infosf:v:24:y:2022:i:2:d:10.1007_s10796-021-10110-2. 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.