Open Access

A Structural Model for Examining the Interplay Between Smartphone Dependency, Self-Regulation, and Phubbing Tendencies Among University Students

4 Department of Management Studies Indian Institute of Technology Delhi, New Delhi, India
4 Department of Computer Science University of Mumbai, Mumbai, India

Abstract

The pervasive integration of smartphones into daily life has significantly transformed social interaction patterns, particularly among university students. This study develops and evaluates a structural model to examine the interrelationships between smartphone dependency, self-regulation, and phubbing behavior. Drawing on theoretical frameworks such as self-determination theory and uses and gratifications theory, the research investigates how excessive smartphone use influences interpersonal disengagement and how self-control mechanisms mitigate such behaviors. A quantitative research design is employed, incorporating validated measurement scales and structural equation modeling (SEM) to analyze causal relationships. The findings reveal that smartphone dependency significantly predicts phubbing tendencies, while self-regulation acts as both a mediating and moderating variable. The study contributes to behavioral and communication research by providing an integrated analytical framework and offers practical implications for digital well-being interventions in higher education contexts.

 

Keywords

References

Abdel Aziz AA, Abdel Salam H, El Sayad Z. The role of ICTs in creating the new social public place of the digital era. Alexandria Engineering Journal,2016:55(1),487–493.
Akpunne B. Validation of smartphone addiction scale–short version on Nigerian university undergraduates, 2018.
Al Barashdi H, Bouazza A, Jabur N. Smartphone addiction among university undergraduates: a literature review. Journal of Scientific Research and Reports,2015:4(3):210–225.
Al Saggaf Y, O’Donnell SB. Phubbing: Perceptions, reasons behind, predictors, and impacts. Human Behavior and Emerging Technologies,2019:1(2):132–140.
Baggio S, Starcevic V, Studer J, Simon O, Gainsbury SM, Gmel G, Billieux J. Technology-mediated addictive behaviors constitute a spectrum of related yet distinct conditions: A network perspective. Psychology of Addictive Behaviors, 2018:32(5):564.
Bambang Sudaryana DEA, Ak M Agusiady, HRR, & SEMM. Metodologi Penelitian Kuantitatif. Deepublish, 2022.
Brevers D, Turel O. Strategies for self-controlling social media use: Classification and role in preventing social media addiction symptoms. Journal of Behavioral Addictions,2019:8(3):554–563.
Chotpitayasunondh V, Douglas KM. How “phubbing” becomes the norm: The antecedents and consequences of snubbing via smartphone. Computers in Human Behavior,2016:63:9–18.
Chotpitayasunondh V, Douglas KM the effects of “phubbing” on social interaction. Journal of Applied Social Psychology,2018:48(6):304–316.
Connelly LM. Introduction to analysis of variance (ANOVA). Medsurg Nursing,2021:30(3):158–218.
Gao Q, Fu E, Xiang Y, Jia G, & Wu S. Self-esteem and addictive smartphone use: The mediator role of anxiety and the moderator role of self-control. Children and Youth Services Review,2021:124:105990.
Gerald B. A brief review of independent, dependent and one sample t-test. International Journal of Applied Mathematics and Theoretical Physics,2018:9(2):50–54.
Hampton KN. Persistent and pervasive community: New communication technologies and the future of community. American Behavioral Scientist,2016:60(1):101–124.
Haridakis P, Humphries Z. Uses and gratifications. An Integrated Approach to Communication Theory and Research, 2019, 139–154.
Keith TZ. Multiple regression and beyond: An introduction to multiple regression and structural equation modeling. Routledge, 2019.
Mantere E. Smartphone Situation: Personal Smartphone Use during Face-To-Face Encounters, 2022.
Matar Boumosleh J, Jaalouk D. Depression, anxiety, and smartphone addiction in university students-A cross sectional study. PloS One,2017:12(8):e0182239.
Regan T, Harris B, Van Loon M, Nanavaty N, Schueler J, Engler S, et al. Does mindfulness reduce the effects of risk factors for problematic smartphone use? Comparing frequency of use versus self-reported addiction. Addictive Behaviors,2020:108:106435.
Ryan RM, Vansteenkiste M. Self-determination theory. In The Oxford Handbook of Self-Determination Theory Oxford University Press, 2023, 3–30.
Sheldon P, Rauschnabel P, Honeycutt JM. The dark side of social media: psychological, managerial, and societal perspectives. Academic Press, 2019.
Unger A, Bi C, Xiao Y, Ybarra O. The revising of the Tangney Self‐control Scale for Chinese students. Psych Journal,2016:5(2):101–116.
Xie X, Chen W, Zhu X, He D. Parents’ phubbing increases Adolescents’ Mobile phone addiction: Roles of parent-child attachment, deviant peers, and gender. Children and Youth Services Review,2019:105:104426.
Zhou H, Deng Z, Xia Y, Fu M. A new sampling method in particle filter based on Pearson correlation coefficient. Neurocomputing,2016:216:208–215.

Most read articles by the same author(s)

1 2 > >>