Mobile Technology Addiction Effect on Risky Behaviours: the Moderating Role of Use-Regulation

被引:2
作者
Nyamadi, Makafui [1 ]
Turel, Ofir [2 ]
机构
[1] Ho Tech Univ, POB HP 217, Ho, Ghana
[2] Univ Melbourne, Comp & Informat Syst, Melbourne, Australia
关键词
Flow; Telepresence; Mobile Technology Addiction (MTA); Mobile risky behaviours; and use-regulation; SMARTPHONE ADDICTION; INTERNET ADDICTION; SELF-REGULATION; VIRTUAL-REALITY; FLOW EXPERIENCE; PLS-SEM; ONLINE; INFORMATION; ENVIRONMENTS; MODEL;
D O I
10.1007/s10796-024-10537-3
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The ability to use mobile technologies anywhere and anytime has driven an important dark side known in this article as Mobile Technology Addiction (MTA). Here, we extend insights on this phenomenon by building on S-O-R theory and focusing on stimuli (flow and telepresence), organisms (mobile technology addiction), and responses (risky behaviours). This study conceptualised the moderating role of use-regulation between MTA and risky behaviours. Based on a study in the unique context of a developing country, this study adopted a stratified random sampling technique. The questionnaire was deployed through online and offline survey methods to select 528 participants from a developing country in which most internet interactions are done via mobile devices. It was found that MTA drives risky behaviours, but IS use-regulation minimises this effect. The findings provide important implications for theory and practice.
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页数:15
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共 138 条
[71]  
Kwon H., 2014, ICIS, P1
[72]   Unregulated Internet usage: Addiction, habit, or deficient self-regulation? [J].
LaRose, R ;
Lin, CA ;
Eastin, MS .
MEDIA PSYCHOLOGY, 2003, 5 (03) :225-253
[73]   Psychopathology of multiplayer online game [J].
Lecardeur, Laurent .
ANNALES MEDICO-PSYCHOLOGIQUES, 2013, 171 (08) :579-586
[74]   The buffering effect of flow experience on the relationship between overload and social media users' discontinuance intentions [J].
Lin, Jiabao ;
Lin, Shunzhi ;
Turel, Ofir ;
Xu, Feng .
TELEMATICS AND INFORMATICS, 2020, 49
[75]   Predicting mobile social network acceptance based on mobile value and social influence [J].
Lin, Kuan-Yu ;
Lu, Hsi-Peng .
INTERNET RESEARCH, 2015, 25 (01) :107-130
[76]   Self-Regulation Deficiency in Predicting Problematic Use of Mobile Social Networking Apps: The Role of Media Dependency* [J].
Liu, Zilong ;
Lin, Xiaolin ;
Wang, Xuequn ;
Wang, Tianhua .
DECISION SCIENCES, 2022, 53 (05) :827-855
[77]   Smartphone addiction and associated consequences: role of loneliness and self-regulation [J].
Mahapatra, Sabita .
BEHAVIOUR & INFORMATION TECHNOLOGY, 2019, 38 (08) :833-844
[78]  
Maier C., 2015, The effects of technostress and switching stress on discontinued use of social networking services: A study of Facebook use, P275, DOI [10.1111/isj.12068, DOI 10.1111/ISJ.12068]
[79]   TELEVISION ADDICTION - THEORIES AND DATA BEHIND THE UBIQUITOUS METAPHOR [J].
MCILWRAITH, R ;
JACOBVITZ, RS ;
KUBEY, R ;
ALEXANDER, A .
AMERICAN BEHAVIORAL SCIENTIST, 1991, 35 (02) :104-121
[80]   DEFINING AND ASSESSING RISKY BEHAVIORS [J].
MCKIE, L ;
ALBASHIR, M ;
ANAGNOSTOPOULOU, T ;
CSEPE, P ;
ELASFAHANI, A ;
FONSECA, H ;
FUNIAK, S ;
JAVETZ, R ;
SAMSURIDJAL, S .
JOURNAL OF ADVANCED NURSING, 1993, 18 (12) :1911-1916