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Social Media Use and Paranoia: Factors That Matter in Online Shopping

Author

Listed:
  • Ignas Zimaitis

    (Marketing Department, Faculty of Economics and Business Administration, Vilnius university, Vilnius LT-10222, Lithuania)

  • Mindaugas Degutis

    (Marketing Department, Faculty of Economics and Business Administration, Vilnius university, Vilnius LT-10222, Lithuania)

  • Sigitas Urbonavicius

    (Marketing Department, Faculty of Economics and Business Administration, Vilnius university, Vilnius LT-10222, Lithuania)

Abstract

The paper aims to explore the ways social media use is linked with paranoia, and how they influence buyers’ attitudes and intentions in online shopping, thus shaping overall consumer behaviour. The theoretical analysis suggests that paranoia, being influenced by social media use, plays a noticeable role in the process of online shopping. The main assumption is that paranoia is an antecedent of the attitude towards online purchasing and mediates effects of other factors towards it. This is confirmed with SEM modelling on the basis of empirical data: the analysis provides evidence that paranoia is an important antecedent of the attitude towards purchasing online and mediates relationships between computer competence, cyber-fear, social media use and the attitude towards online shopping. Additionally, a contradictory relation between paranoia and online purchasing intention is observed. Overall, these findings disclose a new important factor in online shopping and outline several new directions for future research.

Suggested Citation

  • Ignas Zimaitis & Mindaugas Degutis & Sigitas Urbonavicius, 2020. "Social Media Use and Paranoia: Factors That Matter in Online Shopping," Sustainability, MDPI, vol. 12(3), pages 1-10, January.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:3:p:904-:d:313203
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    References listed on IDEAS

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    6. Nichola J. Raihani & Vaughan Bell, 2019. "An evolutionary perspective on paranoia," Nature Human Behaviour, Nature, vol. 3(2), pages 114-121, February.
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    Cited by:

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    2. Tai Huynh & Hien Nguyen & Ivan Zelinka & Dac Dinh & Xuan Hau Pham, 2020. "Detecting the Influencer on Social Networks Using Passion Point and Measures of Information Propagation †," Sustainability, MDPI, vol. 12(7), pages 1-16, April.
    3. Urbonavicius, Sigitas & Degutis, Mindaugas & Zimaitis, Ignas & Kaduskeviciute, Vaida & Skare, Vatroslav, 2021. "From social networking to willingness to disclose personal data when shopping online: Modelling in the context of social exchange theory," Journal of Business Research, Elsevier, vol. 136(C), pages 76-85.
    4. Zhaohui Su & Ali Cheshmehzangi & Dean McDonnell & Hengcai Chen & Junaid Ahmad & Sabina Šegalo & Claudimar Pereira da Veiga, 2022. "Technology-Based Mental Health Interventions for Domestic Violence Victims Amid COVID-19," IJERPH, MDPI, vol. 19(7), pages 1-11, April.
    5. Mengyi Lin & Fu-Yuan Li & Haibin Zhou, 2020. "A Research on the Combination of Oblique Photography and Mobile Applications Based on the Sustainable Development of Tourism," Sustainability, MDPI, vol. 12(9), pages 1-19, April.

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