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Human resource rightsizing using centralized data envelopment analysis: Evidence from Taiwan's Airports

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  • Yu, Ming-Miin
  • Chern, Ching-Chin
  • Hsiao, Bo

Abstract

Centralized human resource reallocation involves deciding how to fit change in a way that maximizes aggregated outputs. This paper presents an alternative approach to reallocating human resources. Specifically, an aggregated concept in the form of data envelopment analysis (DEA) is used to construct a modified centralized DEA model that is combined with a Russell measure and applied to three different human resource reallocation policies. An application to illustrate manpower rightsizing in an airport organizational setting in Taiwan is also demonstrated using centralized DEA for regular and/or contracted employees. The results demonstrate that the application is effective in reducing and/or transferring staff, while maximizing organizational output levels and implementing smooth downsizing. The results also present directions for possible improvements in workplace efficiency.

Suggested Citation

  • Yu, Ming-Miin & Chern, Ching-Chin & Hsiao, Bo, 2013. "Human resource rightsizing using centralized data envelopment analysis: Evidence from Taiwan's Airports," Omega, Elsevier, vol. 41(1), pages 119-130.
  • Handle: RePEc:eee:jomega:v:41:y:2013:i:1:p:119-130
    DOI: 10.1016/j.omega.2011.06.009
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    References listed on IDEAS

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    Cited by:

    1. Fang, Lei, 2013. "A generalized DEA model for centralized resource allocation," European Journal of Operational Research, Elsevier, vol. 228(2), pages 405-412.
    2. Du, Juan & Cook, Wade D. & Liang, Liang & Zhu, Joe, 2014. "Fixed cost and resource allocation based on DEA cross-efficiency," European Journal of Operational Research, Elsevier, vol. 235(1), pages 206-214.
    3. Fang, Lei, 2015. "Centralized resource allocation based on efficiency analysis for step-by-step improvement paths," Omega, Elsevier, vol. 51(C), pages 24-28.
    4. Li, Gang & Jiang, Hongxun & He, Tian, 2015. "A genetic algorithm-based decomposition approach to solve an integrated equipment-workforce-service planning problem," Omega, Elsevier, vol. 50(C), pages 1-17.
    5. Cherchye, Laurens & De Rock, Bram & Walheer, Barnabé, 2016. "Multi-output profit efficiency and directional distance functions," Omega, Elsevier, vol. 61(C), pages 100-109.
    6. Li, Tao & Yang, Wenyue & Zhang, Haoran & Cao, Xiaoshu, 2016. "Evaluating the impact of transport investment on the efficiency of regional integrated transport systems in China," Transport Policy, Elsevier, vol. 45(C), pages 66-76.
    7. Peyrache, Antonio & Zago, Angelo, 2016. "Large courts, small justice!," Omega, Elsevier, vol. 64(C), pages 42-56.
    8. Kadziński, Miłosz & Labijak, Anna & Napieraj, Małgorzata, 2017. "Integrated framework for robustness analysis using ratio-based efficiency model with application to evaluation of Polish airports," Omega, Elsevier, vol. 67(C), pages 1-18.
    9. Cherchye, Laurens & Rock, Bram De & Walheer, Barnabé, 2015. "Multi-output efficiency with good and bad outputs," European Journal of Operational Research, Elsevier, vol. 240(3), pages 872-881.
    10. Ching-Chin Chern & Tzi-Yuan Chou & Bo Hsiao, 2016. "Assessing the efficiency of supply chain scheduling algorithms using data envelopment analysis," Information Systems and e-Business Management, Springer, vol. 14(4), pages 823-856, November.
    11. Avilés Sacoto, Sonia & Güemes Castorena, David & Cook, Wade D. & Cantú Delgado, Humberto, 2015. "Time-staged outputs in DEA," Omega, Elsevier, vol. 55(C), pages 1-9.
    12. Yu, Ming-Miin & Chen, Li-Hsueh, 2016. "Centralized resource allocation with emission resistance in a two-stage production system: Evidence from a Taiwan’s container shipping company," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 650-671.
    13. repec:spr:annopr:v:259:y:2017:i:1:d:10.1007_s10479-016-2190-8 is not listed on IDEAS
    14. repec:spr:annopr:v:255:y:2017:i:1:d:10.1007_s10479-016-2163-y is not listed on IDEAS

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