Musical consumption, self-control and smartphone addiction: a dual-systems theory perspective and evidence from a survey study

Weihong Ning, Fred D. Davis, René Riedl

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose – In the past decade, smartphone adoption has reached almost 100% in industrialized countries, which is predominantly due to advancements in capabilities. Given the increasing number of people who are addicted to the smartphone and the significant growth of people who consume music via the smartphone, the purpose of the study is to explore the underlying mechanisms through which musical consumption affects smartphone addiction. Design/methodology/approach – Based on dual-systems theory, a research model was developed to determine the impact of System 1 (emotion related to music) and System 2 (self-control) on smartphone addiction. A partial-least-squares approach was used to test the model with 294 survey participants. Findings – The empirical data confirmed the research model. Regarding System 1, musical emotion positively influenced smartphone addiction through musical consumption and musical response. Moreover, musical preference significantly affected musical response. Regarding System 2, self-control negatively predicted smartphone addiction. Research limitations/implications – The study is limited, as the participants were college students who are not representative of all populations. Originality/value – The study extends the literature on the dark side of information technology use and complements a research agenda by Gefen and Riedl (2018) on consideration of music in information systems (IS) research.
Original languageEnglish
Number of pages23
JournalInternet Research
DOIs
Publication statusPublished - 2021

Fields of science

  • 303026 Public health
  • 305909 Stress research
  • 102 Computer Sciences
  • 102006 Computer supported cooperative work (CSCW)
  • 102015 Information systems
  • 102016 IT security
  • 502007 E-commerce
  • 502014 Innovation research
  • 502030 Project management
  • 509026 Digitalisation research
  • 501016 Educational psychology
  • 602036 Neurolinguistics
  • 501030 Cognitive science
  • 502032 Quality management
  • 502043 Business consultancy
  • 502044 Business management
  • 502050 Business informatics
  • 502058 Digital transformation
  • 503008 E-learning
  • 509004 Evaluation research
  • 301407 Neurophysiology
  • 301401 Brain research

JKU Focus areas

  • Digital Transformation

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