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Towards a General Managerial Framework for Performance Measurement: A Comprehensive Highway Maintenance Application

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  • Paul Rouse
  • Martin Putterill
  • David Ryan

Abstract

This paper describes the application of Data Envelopment Analysis (DEA) to a highway maintenance setting, using measures of inputs, outputs and outcomes reported by New Zealand local authorities. A general framework of performance measurement is developed and illustrated through application to the highway setting. The framework encompasses a performance pyramid embodying multiple-perspectives of the organisation with a structure of measures linking critical success factors to process drivers, methods of data analysis and influencing factors such as professional culture. Distinctions between measures of outcome, output and input enable finer partitioning of analyses into managerial notions of efficiency, effectiveness and economy. The impact of environmental factors on efficiency is explored through two approaches suggested in the literature. Copyright Kluwer Academic Publishers 1997

Suggested Citation

  • Paul Rouse & Martin Putterill & David Ryan, 1997. "Towards a General Managerial Framework for Performance Measurement: A Comprehensive Highway Maintenance Application," Journal of Productivity Analysis, Springer, vol. 8(2), pages 127-149, May.
    • Handle: RePEc:kap:jproda:v:8:y:1997:i:2:p:127-149
    DOI: 10.1023/A:1007743606303
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    References listed on IDEAS

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    1. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    2. H. David Sherman & George Ladino, 1995. "Managing Bank Productivity Using Data Envelopment Analysis (DEA)," Interfaces, INFORMS, vol. 25(2), pages 60-73, April.
    3. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
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    Cited by:

    1. Paradi, Joseph C. & Schaffnit, Claire, 2004. "Commercial branch performance evaluation and results communication in a Canadian bank--a DEA application," European Journal of Operational Research, Elsevier, vol. 156(3), pages 719-735, August.
    2. Imanirad, Raha & Cook, Wade D. & Aviles-Sacoto, Sonia Valeria & Zhu, Joe, 2015. "Partial input to output impacts in DEA: The case of DMU-specific impacts," European Journal of Operational Research, Elsevier, vol. 244(3), pages 837-844.
    3. Kalb, Alexander, 2009. "What determines local governments' technical efficiency? The case of road maintenance," ZEW Discussion Papers 09-047, ZEW - Leibniz Centre for European Economic Research.
    4. Fallah-Fini, Saeideh & Triantis, Konstantinos & Rahmandad, Hazhir & de la Garza, Jesus M., 2015. "Measuring dynamic efficiency of highway maintenance operations," Omega, Elsevier, vol. 50(C), pages 18-28.
    5. Rouse, Paul & Chiu, Tony, 2009. "Towards optimal life cycle management in a road maintenance setting using DEA," European Journal of Operational Research, Elsevier, vol. 196(2), pages 672-681, July.
    6. Fallah-Fini, Saeideh & Triantis, Konstantinos & de la Garza, Jesus M. & Seaver, William L., 2012. "Measuring the efficiency of highway maintenance contracting strategies: A bootstrapped non-parametric meta-frontier approach," European Journal of Operational Research, Elsevier, vol. 219(1), pages 134-145.

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