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Proceedings of the 3rd International Conference on Administrative Science, Policy, and Governance Studies, ICAS-PGS 2019, October 30-31, Universitas Indonesia, Depok. Indonesia

Research Article

The Effect of Employee Involvement and Work Engagement on Workforce Agility

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  • @INPROCEEDINGS{10.4108/eai.30-10-2019.2299408,
        author={Manggala P. Natapoera and Wustari L. Mangundjaya},
        title={The Effect of Employee Involvement and Work Engagement on Workforce Agility},
        proceedings={Proceedings of the 3rd International Conference on Administrative Science, Policy, and Governance Studies, ICAS-PGS 2019, October 30-31, Universitas Indonesia, Depok. Indonesia},
        publisher={EAI},
        proceedings_a={ICAS-PGS},
        year={2020},
        month={8},
        keywords={employee involvement work engagment and workforce agility},
        doi={10.4108/eai.30-10-2019.2299408}
    }
    
  • Manggala P. Natapoera
    Wustari L. Mangundjaya
    Year: 2020
    The Effect of Employee Involvement and Work Engagement on Workforce Agility
    ICAS-PGS
    EAI
    DOI: 10.4108/eai.30-10-2019.2299408
Manggala P. Natapoera1,*, Wustari L. Mangundjaya1
  • 1: University of Indonesia, Faculty of Psychology
*Contact email: natapoera@yahoo.com

Abstract

The purpose of this study was to examine the effect of employee involvement and work engagement on workforce agility. Participants are permanent employees of 154 heavy equipment manufacturing companies. Data collection using convenience sampling techniques. The survey was conducted using an employee involvement instrument with 10 items, a work engagement questionnaire with 12 items, and a workforce agility questionnaire with 39 items. The regression analysis technique uses SPSS 24. The results obtained are in accordance with the initial hypothesis of the research that there is a positive relationship between employee involvement and work engagement on workforce agility.

Keywords
employee involvement work engagment and workforce agility
Published
2020-08-12
Publisher
EAI
http://dx.doi.org/10.4108/eai.30-10-2019.2299408
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