Journal article
Self‐regulation deficiency in predicting problematic use of mobile social networking apps: The role of media dependency
Decision Sciences, Vol.53(5), pp.827-855
2022
Abstract
The problematic use of mobile social networking apps (SNAs) is an increasing issue in various places where people live and work. For example, employees’ use of mobile SNAs at work can result in significant loss of productivity. The literature has mainly focused on the etiology of problematic behavior with a focus on human psychological characteristics, whereas few studies have examined the role of technology media and problematic behavior. By integrating self‐regulation deficiency and media system dependency, this study investigates the drivers of problematic use of mobile SNAs by exploring users’ self‐regulation deficiency and its antecedents from a media dependency perspective. Data were collected from Chinese mobile SNA users via longitudinal surveys. The results show that self‐ and social‐oriented SNA dependency positively affect cognitive preoccupation and perceived irreplaceability, which in turn lead to users’ problematic use. We also compare the effect of SNA dependency across genders in the post‐hoc analysis. In the female group, self‐ and social‐oriented SNA dependency influenced problematic use through cognitive preoccupation and perceived irreplaceability. In the male group, self‐ and social‐oriented SNA dependency influenced problematic use only through their cognitive preoccupation. Implications for theory and practice are discussed.
Details
- Title
- Self‐regulation deficiency in predicting problematic use of mobile social networking apps: The role of media dependency
- Authors/Creators
- Z. Liu (Author/Creator) - Dongbei University of Finance and EconomicsX. Lin (Author/Creator) - West Texas A&M UniversityX. Wang (Author/Creator) - Murdoch UniversityT. Wang (Author/Creator) - Dongbei University of Finance and Economics
- Publication Details
- Decision Sciences, Vol.53(5), pp.827-855
- Publisher
- Wiley
- Identifiers
- 991005545408307891
- Copyright
- © 2020 Decision Sciences Institute
- Murdoch Affiliation
- Information Technology, Mathematics and Statistics
- Language
- English
- Resource Type
- Journal article
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites
Metrics
68 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 6 Social Sciences
- 6.185 Communication
- 6.185.1004 Digital Media Impact
- Web Of Science research areas
- Management
- ESI research areas
- Economics & Business