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Enhancing Work Engagement Towards Performance Improvement

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Knowledge Management in Organizations (KMO 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 731))

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Abstract

Underpinned by role expansionist perspective, this study examined why and how family-to-work enhancement is related to work engagement leading to an improvement in task and contextual performance. Controlling for family-to-work conflict and job autonomy, the results revealed that consistent with our predictions, work engagement mediated the relationships for family-to-work enhancement with task and contextual performance. Moderated mediation analyses further revealed that work engagement mediated the relationships for (a) task performance for only those supervisors who were supportive to their subordinates’ work-family issues; and (b) contextual performance, regardless of supervisor’s level of support. Results highlighted the importance of supportive supervisors or family-friendly work environment when examining the relationships between enhancement, engagement, and job performance.

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Author information

Authors and Affiliations

  1. The Surrey Business School, University of Surrey, Guildford, UK

    Chris W. L. Chu

  2. City University of Hong Kong, Kowloon Tong, Hong Kong

    Reuben Mondejar

  3. Yokohama City University, Yokohama, Japan

    Akira Kamoshida & Zahir Ahamed

Authors
  1. Chris W. L. Chu
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  2. Reuben Mondejar
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  3. Akira Kamoshida
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  4. Zahir Ahamed
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Corresponding author

Correspondence to Chris W. L. Chu .

Editor information

Editors and Affiliations

  1. University of Staffordshire, Stoke-on-Trent, Staffordshire, United Kingdom

    Lorna Uden

  2. Beijing Jiaotong University, Beijing, China

    Wei Lu

  3. Department of Information Management, University of Kaohsiung, Kaohsiung, Taiwan

    I-Hsien Ting

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Chu, C.W.L., Mondejar, R., Kamoshida, A., Ahamed, Z. (2017). Enhancing Work Engagement Towards Performance Improvement. In: Uden, L., Lu, W., Ting, IH. (eds) Knowledge Management in Organizations. KMO 2017. Communications in Computer and Information Science, vol 731. Springer, Cham. https://doi.org/10.1007/978-3-319-62698-7_19

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  • DOI: https://doi.org/10.1007/978-3-319-62698-7_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62697-0

  • Online ISBN: 978-3-319-62698-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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