EconPapers    
Economics at your fingertips  
 

Don’t Want It Anymore? Resilience as a Shield Against Social Media-Induced Overloads

Alena Bermes () and Clara-Lea Gromek ()
Additional contact information
Alena Bermes: Heinrich Heine University Düsseldorf
Clara-Lea Gromek: Heinrich Heine University Düsseldorf

A chapter in Innovation Through Information Systems, 2021, pp 451-458 from Springer

Abstract: Abstract Social media have become part of millions of users’ everyday life, leading to the proliferation of the daily stressors associated with them, particularly social media-induced overloads. Therefore, understanding the individual characteristics that enable users to resist such stress factors and ultimately buffer negative follow-up effects, such as exhaustion and discontinuance behavior, is important for researchers and practitioners. Grounded in psychological resilience theory, we examine if a user’s resilience (one’s ability to bounce back) has the power to mitigate the effects of this critical chain of influence by inhibiting the stressors. Structural equation modelling on survey data from 194 social network users confirms that resilience decreases perceived information and social overload. We also find that self-efficacy is a protective factor leading to resilience. Therein, this short paper raises awareness on resilience’s function as a shield against the adverse effects of social media and provides a comprehensive outlook for future research.

Keywords: SNS resilience; Protective (resilience) factors; Social media-induced overloads; Technostress (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-86797-3_30

Ordering information: This item can be ordered from
http://www.springer.com/9783030867973

DOI: 10.1007/978-3-030-86797-3_30

Access Statistics for this chapter

More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:lnichp:978-3-030-86797-3_30