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The impact of type of content use on smartphone addiction and academic performance: Physical activity as moderator

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  • Abbasi, Ghazanfar A
  • Jagaveeran, Mahavithya
  • Goh, Yen-Nee
  • Tariq, Beenish

Abstract

Smartphone addiction and its negative effects on academic performance have received attention from both scholars and practitioners. The gist of this study is to explore the impact of the type of content use on smartphone addiction and academic performance by considering physical activity as a potential moderator. The data were gathered from 250 undergraduate students and statistically analysed using the partial least squares structural equation modelling technique. The results show that entertainment, social networking sites, and game-related use have positive effects on smartphone addiction. Although study-related use has a positive effect on academic performance, game-related use has a negative effect. Furthermore, physical activity moderates negatively the impact of game-related use on academic performance. The results extend the literature on smartphone addiction by introducing physical activity as a preventive factor and will be useful for policymakers and parents to understand the importance of developing and promoting physical activity among young adults.

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  • Abbasi, Ghazanfar A & Jagaveeran, Mahavithya & Goh, Yen-Nee & Tariq, Beenish, 2021. "The impact of type of content use on smartphone addiction and academic performance: Physical activity as moderator," Technology in Society, Elsevier, vol. 64(C).
    • Handle: RePEc:eee:teinso:v:64:y:2021:i:c:s0160791x20313245
    DOI: 10.1016/j.techsoc.2020.101521
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    Cited by:

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    2. Han, Sunyoung, 2022. "Impact of smartphones on students: How age at first use and duration of usage affect learning and academic progress," Technology in Society, Elsevier, vol. 70(C).
    3. Jabeen, Fauzia & Tandon, Anushree & Azad, Nasreen & Islam, A.K.M. Najmul & Pereira, Vijay, 2023. "The dark side of social media platforms: A situation-organism-behaviour-consequence approach," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    4. Nikbin, Davoud & Taghizadeh, Seyedeh Khadijeh & Rahman, Syed Abidur, 2022. "Linking Dark Triad traits to Instagram addiction: The mediating role of motives," Technology in Society, Elsevier, vol. 68(C).
    5. Ashaari, Mohamed Azlan & Singh, Karpal Singh Dara & Abbasi, Ghazanfar Ali & Amran, Azlan & Liebana-Cabanillas, Francisco J., 2021. "Big data analytics capability for improved performance of higher education institutions in the Era of IR 4.0: A multi-analytical SEM & ANN perspective," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    6. Bravo-Adasme, Natalia & Cataldo, Alejandro, 2022. "Understanding techno-distress and its influence on educational communities: A two-wave study with multiple data samples," Technology in Society, Elsevier, vol. 70(C).
    7. Abbasi, Ghazanfar Ali & Sandran, Thiviya & Ganesan, Yuvaraj & Iranmanesh, Mohammad, 2022. "Go cashless! Determinants of continuance intention to use E-wallet apps: A hybrid approach using PLS-SEM and fsQCA," Technology in Society, Elsevier, vol. 68(C).
    8. Yao-Chung Cheng & Tian-Ai Yang & Jin-Chuan Lee, 2021. "The Relationship between Smartphone Addiction, Parent–Child Relationship, Loneliness and Self-Efficacy among Senior High School Students in Taiwan," Sustainability, MDPI, vol. 13(16), pages 1-16, August.
    9. Li, Li & Niu, Zhimin & Griffiths, Mark D. & Wang, Wen & Chang, Chunying & Mei, Songli, 2021. "A network perspective on the relationship between gaming disorder, depression, alexithymia, boredom, and loneliness among a sample of Chinese university students," Technology in Society, Elsevier, vol. 67(C).

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