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Measuring organisational performance using a mix of OR methods

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  • Santos, Sérgio P.
  • Belton, Valerie
  • Howick, Susan
  • Pilkington, Martin

Abstract

Performance measurement has become an increasingly important issue in recent years. In spite of the remarkable progress that has been achieved in this area of research, many performance measurement initiatives fall short of their potential in supporting decision-making. This paper argues that adopting a multi-method approach to assessing performance has the potential to result in more comprehensive and effective performance measurement systems. To support this assertion, the paper discusses the development of a performance measurement system for a Business Tax Department, which combined the use of several operational research (OR) techniques including qualitative system dynamics, data envelopment analysis and multiple criteria decision analysis. The use of these OR techniques was influential in developing and implementing the performance measurement system and has the potential to be transferred to other contexts.

Suggested Citation

  • Santos, Sérgio P. & Belton, Valerie & Howick, Susan & Pilkington, Martin, 2018. "Measuring organisational performance using a mix of OR methods," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 18-30.
  • Handle: RePEc:eee:tefoso:v:131:y:2018:i:c:p:18-30
    DOI: 10.1016/j.techfore.2017.07.028
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    1. Cooper, William W. & Ruiz, Jose L. & Sirvent, Inmaculada, 2007. "Choosing weights from alternative optimal solutions of dual multiplier models in DEA," European Journal of Operational Research, Elsevier, vol. 180(1), pages 443-458, July.
    2. Amado, Carla A.F. & Santos, Sérgio P. & Marques, Pedro M., 2012. "Integrating the Data Envelopment Analysis and the Balanced Scorecard approaches for enhanced performance assessment," Omega, Elsevier, vol. 40(3), pages 390-403.
    3. A Greasley, 2005. "Using DEA and simulation in guiding operating units to improved performance," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(6), pages 727-731, June.
    4. Howick, Susan & Eden, Colin & Ackermann, Fran & Williams, Terry, 2008. "Building confidence in models for multiple audiences: The modelling cascade," European Journal of Operational Research, Elsevier, vol. 186(3), pages 1068-1083, May.
    5. Tarja Joro & Pekka Korhonen & Jyrki Wallenius, 1998. "Structural Comparison of Data Envelopment Analysis and Multiple Objective Linear Programming," Management Science, INFORMS, vol. 44(7), pages 962-970, July.
    6. Desheng Wu, 2006. "Detecting information technology impact on firm performance using DEA and decision tree," International Journal of Information Technology and Management, Inderscience Enterprises Ltd, vol. 5(2/3), pages 162-174.
    7. Peter C. Smith & Maria Goddard, 2008. "Performance Management and Operational Research: A Marriage Made in Heaven?," Palgrave Macmillan Books, in: Richard Thorpe & Jacky Holloway (ed.), Performance Management, chapter 9, pages 120-136, Palgrave Macmillan.
    8. Fran Ackermann & Colin Eden & Terry Williams, 1997. "Modeling for Litigation: Mixing Qualitative and Quantitative Approaches," Interfaces, INFORMS, vol. 27(2), pages 48-65, April.
    9. Suwignjo, P. & Bititci, U. S & Carrie, A. S, 2000. "Quantitative models for performance measurement system," International Journal of Production Economics, Elsevier, vol. 64(1-3), pages 231-241, March.
    10. J Pollack, 2009. "Multimethodology in series and parallel: strategic planning using hard and soft OR," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(2), pages 156-167, February.
    11. F A F Ferreira & S P Santos & P M M Rodrigues, 2011. "Adding value to bank branch performance evaluation using cognitive maps and MCDA: a case study," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1320-1333, July.
    12. D Bouyssou, 1999. "Using DEA as a tool for MCDM: some remarks," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(9), pages 974-978, September.
    13. 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.
    14. B Casu & D Shaw & E Thanassoulis, 2005. "Using a group support system to aid input–output identification in DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(12), pages 1363-1372, December.
    15. M C Gouveia & L C Dias & C H Antunes, 2008. "Additive DEA based on MCDA with imprecise information," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(1), pages 54-63, January.
    16. Fernando A. F. Ferreira & Sérgio P. Santos & Paulo M. M. Rodrigues & Ronald W. Spahr, 2014. "How to create indices for bank branch financial performance measurement using MCDA techniques: an illustrative example," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 15(4), pages 708-728, September.
    17. G Francis & J Holloway, 2002. "Beyond comparisons—the role for the operational researcher in benchmarking," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(3), pages 283-291, March.
    18. R. Allen & A. Athanassopoulos & R.G. Dyson & E. Thanassoulis, 1997. "Weights restrictions and value judgements in Data Envelopment Analysis: Evolution, development and future directions," Annals of Operations Research, Springer, vol. 73(0), pages 13-34, October.
    19. S Howick, 2003. "Using system dynamics to analyse disruption and delay in complex projects for litigation: can the modelling purposes be met?," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(3), pages 222-229, March.
    20. Howick, Susan & Ackermann, Fran, 2011. "Mixing OR methods in practice: Past, present and future directions," European Journal of Operational Research, Elsevier, vol. 215(3), pages 503-511, December.
    21. W. Cooper & Shanling Li & L. Seiford & Kaoru Tone & R. Thrall & J. Zhu, 2001. "Sensitivity and Stability Analysis in DEA: Some Recent Developments," Journal of Productivity Analysis, Springer, vol. 15(3), pages 217-246, May.
    22. Tser‐Yieth Chen & Ling‐hua Chen, 2007. "DEA performance evaluation based on BSC indicators incorporated," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 56(4), pages 335-357, May.
    23. Fernando A. F. Ferreira & Sérgio P. Santos & Paulo M. M. Rodrigues & Ronald W. Spahr, 2014. "Evaluating retail banking service quality and convenience with MCDA techniques: a case study at the bank branch level," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 15(1), pages 1-21, February.
    24. Jyoti & D.K. Banwet & S.G. Deshmukh, 2008. "Evaluating performance of national R&D organizations using integrated DEA‐AHP technique," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 57(5), pages 370-388, June.
    25. Mingers, John & Brocklesby, John, 1997. "Multimethodology: Towards a framework for mixing methodologies," Omega, Elsevier, vol. 25(5), pages 489-509, October.
    26. Henao, Felipe & Franco, L. Alberto, 2016. "Unpacking multimethodology: Impacts of a community development intervention," European Journal of Operational Research, Elsevier, vol. 253(3), pages 681-696.
    27. Pekka Korhonen & Mikko Syrjänen, 2004. "Resource Allocation Based on Efficiency Analysis," Management Science, INFORMS, vol. 50(8), pages 1134-1144, August.
    28. Jyrki Wallenius & James S. Dyer & Peter C. Fishburn & Ralph E. Steuer & Stanley Zionts & Kalyanmoy Deb, 2008. "Multiple Criteria Decision Making, Multiattribute Utility Theory: Recent Accomplishments and What Lies Ahead," Management Science, INFORMS, vol. 54(7), pages 1336-1349, July.
    29. J Mingers, 2003. "A classification of the philosophical assumptions of management science methods," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(6), pages 559-570, June.
    30. Yang, Jian-Bo & Wong, Brandon Y.H. & Xu, Dong-Ling & Stewart, Theodor J., 2009. "Integrating DEA-oriented performance assessment and target setting using interactive MOLP methods," European Journal of Operational Research, Elsevier, vol. 195(1), pages 205-222, May.
    31. P N de Almeida & L C Dias, 2012. "Value-based DEA models: application-driven developments," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 63(1), pages 16-27, January.
    32. S P Santos & V Belton & S Howick, 2008. "Enhanced performance measurement using OR: a case study," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(6), pages 762-775, June.
    33. Tseng, Fang-Mei & Chiu, Yu-Jing & Chen, Ja-Shen, 2009. "Measuring business performance in the high-tech manufacturing industry: A case study of Taiwan's large-sized TFT-LCD panel companies," Omega, Elsevier, vol. 37(3), pages 686-697, June.
    34. Merja Halme & Tarja Joro & Pekka Korhonen & Seppo Salo & Jyrki Wallenius, 1999. "A Value Efficiency Approach to Incorporating Preference Information in Data Envelopment Analysis," Management Science, INFORMS, vol. 45(1), pages 103-115, January.
    35. H Seol & H Lee & S Kim & Y Park, 2008. "The impact of information technology on organizational efficiency in public services: a DEA-based DT approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(2), pages 231-238, February.
    36. Robert G Dyson, 2000. "Strategy, performance and operational research," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(1), pages 5-11, January.
    37. André, Francisco J. & Herrero, Inés & Riesgo, Laura, 2010. "A modified DEA model to estimate the importance of objectives with an application to agricultural economics," Omega, Elsevier, vol. 38(5), pages 371-382, October.
    38. Mingers, John & Rosenhead, Jonathan, 2004. "Problem structuring methods in action," European Journal of Operational Research, Elsevier, vol. 152(3), pages 530-554, February.
    39. Jelle Van Camp & Johan Braet, 2016. "Taxonomizing performance measurement systems’ failures," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 65(5), pages 672-693, June.
    40. Antreas D. Athanassopoulos, 1998. "Decision Support for Target-Based Resource Allocation of Public Services in Multiunit and Multilevel Systems," Management Science, INFORMS, vol. 44(2), pages 173-187, February.
    41. Yong-bae Ji & Choonjoo Lee, 2010. "Data envelopment analysis," Stata Journal, StataCorp LP, vol. 10(2), pages 267-280, June.
    42. Morgan, Jennifer Sian & Howick, Susan & Belton, Valerie, 2017. "A toolkit of designs for mixing Discrete Event Simulation and System Dynamics," European Journal of Operational Research, Elsevier, vol. 257(3), pages 907-918.
    43. I Munro & J Mingers, 2002. "The use of multimethodology in practice—results of a survey of practitioners," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(4), pages 369-378, April.
    44. Sharma, Mithun J. & Yu, Song Jin, 2010. "Benchmark optimization and attribute identification for improvement of container terminals," European Journal of Operational Research, Elsevier, vol. 201(2), pages 568-580, March.
    45. 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.
    46. Sarkis, Joseph, 2000. "A comparative analysis of DEA as a discrete alternative multiple criteria decision tool," European Journal of Operational Research, Elsevier, vol. 123(3), pages 543-557, June.
    47. M C Jackson, 1999. "Towards coherent pluralism in management science," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(1), pages 12-22, January.
    48. J Mingers & W Liu & W Meng, 2009. "Using SSM to structure the identification of inputs and outputs in DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(2), pages 168-179, February.
    49. García-Valderrama, Teresa & Mulero-Mendigorri, Eva & Revuelta-Bordoy, Daniel, 2009. "Relating the perspectives of the balanced scorecard for R&D by means of DEA," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1177-1189, August.
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