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A validation of a multidimensional cyberloafing scale using partial least squares structural equation modelling

  • Sunway University
  • SEGi University

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

The purpose of this research is to validate the cyberloafing scale proposed by Akbulut et al. (2016). Specifically, the reliability, validity, and dimensionality of the cyberloafing scale are assessed using partial least squares structural equation modelling (PLS-SEM). An online survey was administered to employees working in public listed companies in Malaysia (n = 255), who have a personal computer and internet access at the workplace. SmartPLS 3 software was used to validate the cyberloafing scale. The findings showed that the cyberloafing scale by Akbulut et al. (2016) was comprehensive, valid, and reliable. All items loaded appropriately on their assigned dimension constructs; thus, proving construct validity. Each dimension construct showed high internal consistency, where their average variance extracted values were greater than 0.5; thus, proving reliability and convergent validity. Based on the results from a confirmatory tetrad analysis, it should be modelled as a reflective-formative construct. Future studies are highly encouraged to use this scale. Overall, the cyberloafing scale by Akbulut et al. (2016) is a valid and reliable instrument that can be used formally to assess employees’ cyberloafing behaviour.

Original languageEnglish
Pages (from-to)24-39
Number of pages16
JournalInternational Journal of Business Information Systems
Volume44
Issue number1
DOIs
Publication statusPublished - 2023
Externally publishedYes

UN SDGs

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

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • confirmatory tetrad analysis
  • construct validity
  • convergent validity
  • cyberloafing
  • cyberslacking
  • higher-order analysis
  • Malaysia
  • PLS-SEM
  • scale validation

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