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The Effect of Social Media Overload, Exhaustion, and Technostress on Student's Learning Productivity Using Stressor-Strain-Outcome Model

  • Shandra Elvyra Sudarsono Putri
  • , Mochamad Chandra Saputra
  • , Aryo Pinandito*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The widespread use of social media among Indonesians is evidenced by the increasing use of social media every year. Social media is a resource that can be actively utilized by students for better education and learning. Through social media, students can interact and socialize with other friends, improve learning achievement, get solutions to problems from finding information on social media, or even send questions and comments to other students. With the many benefits and conveniences of social media to help students' daily lives, there are also negative impacts caused by the use of social media if used continuously by students. The purpose of this study is to determine the influence of social media overload, exhaustion, and technostress among university students and its consequences on student learning productivity. This research is quantitative, using the survey method as the main approach. The survey was conducted among undergraduate students. Based on the data distribution, 100 respondents were obtained and analyzed using the Generalized Linear Model. This study used the Stressor-Strain-Outcome model to conceptualize the framework model. The result suggested that social overload and communication overload affect technostress. Technostress, communication overload, and information overload affect exhaustion, which influences students' learning productivity.

Original languageEnglish
Title of host publicationSIET 2023 - Proceedings of the 8th International Conference on Sustainable Information Engineering and Technology
PublisherAssociation for Computing Machinery
Pages417-423
Number of pages7
ISBN (Electronic)9798400708503
DOIs
Publication statusPublished - 24 Oct 2023
Event8th International Conference on Sustainable Information Engineering and Technology, SIET 2023 - Bali, Indonesia
Duration: 24 Oct 202325 Oct 2023

Publication series

NameACM International Conference Proceeding Series

Conference

Conference8th International Conference on Sustainable Information Engineering and Technology, SIET 2023
Country/TerritoryIndonesia
CityBali
Period24/10/2325/10/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 4 - Quality Education
    SDG 4 Quality Education

Keywords

  • exhaustion
  • learning productivity
  • social media overload
  • SSO
  • technostress

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