Periodicity.: October - December 2014
e-ISSN......: 2236-269X
Cover Image

Alignment of balanced scorecard perspectives with supply chain management objectives: a literature review

Thales Botelho de Sousa, Carlos Eduardo Soares Camparotti, Kleber Francisco Esposto, Fábio Müller Guerrini


Having in view the fast diffusion of the Balanced Scorecard since its development in the 1990s, as well as your application in various industrial sectors, this paper aims to present a literature review on the alignment of this performance measurement system with the Supply Chain Management. This research was motivated by the finding of an increase in the annual number of papers published over the years. Through a literature review 43 papers related to the theme were localized in databases SCIELO, SCOPUS and Web of Science. Key metrics, methodological procedures most used for developing the papers localized, benefits and limitations of using the system, as well as research gaps indicated for future works are presented. The main contribution of this research focuses on condense into a single material, an overview of the assessment methods of Supply Chain Management based on the Balanced Scorecard perspectives. Several metrics have been proposed for the development of this performance measurement system, encompassing other perspectives beyond the four traditional BSC perspectives.


Balanced Scorecard; Supply Chain Management; Literature Review; Performance Measurement System

Full Text:



ADARME-JAIMES, W.; ARANGO-SERNA, M. D.; COGOLLO-FLÓREZ, J. M. (2012) Medición del desempeño para cadenas de abastecimiento en ambientes de imprecisión usando lógica difusa. Ing. Univ., v. 16, n. 1, p. 95-115.

AGAMI, N.; SALEH, M.; RASMY, M. (2012) A Hybrid Dynamic Framework for Supply Chain Performance Improvement. IEEE Systems Journal, v. 6, n. 3, p. 469-478.

AKYUZ, G. A.; ERKAN, T. E. (2010) Supply chain performance measurement: a literature review. International Journal of Production Research, v. 48, n. 17, p. 5137-5155.

ALFARO, J. J. et al. (2009) Business process interoperability and collaborative performance measurement. International Journal of Computer Integrated Manufacturing, v. 22, n. 9, p. 877-889.

BARBER, E. (2008) How to measure the “value” in value chains. International Journal of Physical Distribution & Logistics Management, v. 38, n. 9, p. 685-698.

BARNABÈ, F. et al. (2013) The strategic micro-firm: a role play in management training for dynamic businesses. Journal of Workplace Learning, v. 25, n. 5, p. 328-342.

BERTO, R. M. V. S.; NAKANO, D. N. (2000) A produção científica nos anais do Encontro Nacional de Engenharia de Produção: um levantamento de métodos e tipos de pesquisa. Produção, v. 9, n. 2, p. 65-76.

BHAGWAT, R.; SHARMA, M. K. (2007a) Performance measurement of supply chain management: a balanced scorecard approach. Computers & Industrial Engineering, v. 53, n. 1, p. 43-62.

BHAGWAT, R.; SHARMA, M. K. (2007b) Performance measurement of supply chain management using the analytical hierarchy process. Production Planning & Control, v. 18, n. 8, p. 666-680.

BHAGWAT, R.; SHARMA, M. K. (2009) An application of the integrated AHP-PGP model for performance measurement of supply chain management. Production Planning & Control, v. 20, n. 8, p. 678-690.

BHATTACHARYA, A. et al. (2014) Green supply chain performance measurement using fuzzy ANP-based balanced scorecard: a collaborative decision-making approach. Production Planning & Control, v. 25, n. 8, p. 698-714.

BIGLIARDI, B.; BOTTANI, E. (2010) Performance measurement in the food supply chain: a balanced scorecard approach. Facilities, v. 28, n. 5/6, p. 249-260.

BREWER, P. C.; SPEH, T. W. (2000) Using the balanced scorecard to measure supply chain performance. Journal of Business Logistics, v. 21, n. 1, p. 75-93.

BREWER, P. C.; SPEH, T. (2001) Adapting the balanced scorecard to supply chain management. Supply Chain Management Review, v. 5, n. 2, p. 48-56.

BULLINGER, H-J.; KÜHNER, M.; VAN HOOF, A. (2002) Analysing supply chain performance using a balanced measurement method. International Journal of Production Research, v. 40, n. 15, p. 3533-3543.

CARNEVALLI, J. A.; MIGUEL, P. A. C. (2008) Review, analysis and classification of the literature on QFD - types of research, difficulties and benefits. International Journal of Production Economics, v. 114, n. 2, p. 737-754.

CHANG, H. H. (2009) An empirical study of evaluating supply chain management integration using the balanced scorecard in Taiwan. The Service Industrial Journal, v. 29, n. 2, p. 185-202.

CHANG, H. H. et al. (2013) Using the balanced scorecard on supply chain integration performance - a case study of service businesses. Service Business, v. 7, n. 4, p. 539-561.

CHIA, A.; GOH, M.; HUM, S-H. (2009) Performance measurement in supply chain entities: balanced scorecard perspective. Benchmarking, v. 16, n. 5, p. 605-620.

CHILDERHOUSE, P.; TOWILL, D. R. (2011) A systems engineering approach to supply chain auditing. Journal of Manufacturing Technology Management, v. 22, n. 5, p. 621-640.

DE FELICE, F.; PETRILLO, A. (2013) Key success factors for organizational innovation in the fashion industry. International Journal of Engineering Business Management, v. 5, Especial Issue, p. 1-11.

FAN, X. et al. (2013) An evaluation model of supply chain performances using 5DBSC and LMBP neural network algorithm. Journal of Bionic Engineering, v. 10, n. 3, p. 383-395.

FORZA, C. (2002) Survey research in operations management: a process-based perspective. International Journal of Operations & Production Management, v. 22, n. 2, p. 152-194.

FRANCESCHINI, F.; TURINA, E. (2012) Proposal for a performance dashboard for the monitoring of Water and Sewage Service Companies (WaSCs). Water Resources Management, v. 26, n. 1, p. 63-80.

GIL, A. C. (2008) Métodos e técnicas de pesquisa social. 6. ed. São Paulo: Atlas.

HOLIMCHAYACHOTIKUL, P. et al. (2014) Value creation through collaborative supply chain: holistic performance enhancement road map. Production Planning & Control, v. 25, n. 11, p. 912-922.

KALL, E. et al. (2013) Análise da cadeia produtiva através do modelo de desempenho Balanced Scorecard. Espacios, v. 34, n. 4, p. 11-23.

KAPLAN, R. S.; NORTON, D. P. (1996) Using the balanced scorecard as a strategic management system. Harvard Business Review, Jan-Feb, p. 75-85.

KHAJI, M. R.; SHAFAEI, R. (2011) A system dynamics approach for strategic partnering in supply networks. International Journal of Computer Integrated Manufacturing, v. 24, n. 2, p. 106-125.

KIM, J.; RHEE, J. (2012) An empirical study on the impact of critical success factors on the balanced scorecard performance in Korean green supply chain management enterprises. International Journal of Production Research, v. 50, n. 9, p. 2465-2483.

KLEIJNEN, J. P. C.; SMITS, M. T. (2003) Performance metrics in supply chain management. Journal of the Operational Research Society, v. 54, n. 5, p. 507-514.

KNOTTS, T. L.; JONES, S. C.; UDELL, G. G. (2006) Using a ‘‘balanced approach’’ to measure merchandising supplier performance. Measuring Business Excellence, v. 10, n. 1, p. 4-13.

KUENG, P.; WETTSTEIN, T.; LIST, B. (2001) A holistic process performance analysis through a performance data warehouse. In: AMERICAS CONFERENCE ON INFORMATION SYSTEM, 7, 2001, Boston. Proceedings... Boston, AIS Electronic Library, p. 349-356.

KUMAR, A.; OZDAMAR, L.; NG, C. P. (2005) Procurement performance measurement system in the health care industry. International Journal of Health Care Quality Assurance, v. 18, n. 2, p. 152-166.

LAKATOS, E. M.; MARCONI, M. A. (2007) Metodologia do trabalho científico: procedimentos básicos, pesquisa bibliográfica, projeto e relatório, publicações e trabalhos científicos. 7. ed. São Paulo: Atlas.

LI, S. et al. (2006) The impact of supply chain management practices on competitive advantage and organizational performance. Omega, v. 34, n. 2, p. 107-124.

LOHMAN, C.; FORTUIN, L.; WOUTERS, M. (2004) Designing a performance measurement system: A case study. European Journal of Operational Research, v. 156, n. 2, p. 267-286.

MIGUEL, P. A. C. (2007) Estudo de caso na engenharia de produção: estruturação e recomendações para sua condução. Produção, v. 17, n. 1, p. 216-229.

NAJMI, A.; MAKUI, A. (2012) A conceptual model for measuring supply chain's performance. Production Planning & Control, v. 23, n. 9, p. 694-706.

NAINI, S. G. J.; ALIAHMADI, A. R.; JAFARI-ESKANDARI, M. (2011) Designing a mixed performance measurement system for environmental supply chain management using evolutionary game theory and balanced scorecard: A case study of an auto industry supply chain. Resources, Conservation and Recycling, v. 55, n. 6, p. 593-603.

NGAI, E. W. T. et al. (2008) RFID research: an academic literature review (1995-2005) and future research directions. International Journal of Production Economics, v. 112, n. 1, p. 510-520.

OLSMATS, C.; DOMINIC, C. (2003) Packaging scorecard - a packaging performance evaluation method. Packaging Technology and Science, v. 16, n. 1, p. 9-14.

PARK, J. H.; LEE, J. K.; YOO, J. S. (2005) A framework for designing the balanced supply chain scorecard. European Journal of Information Systems, v. 14, n. 4, p. 335-346.

RAJESH, R. et al. (2012) Generic balanced scorecard framework for third party logistics service provider. International Journal of Production Economics, v. 140, n. 1, p. 269-282.

REEFKE, H.; TROCCHI, M. (2013) Balanced scorecard for sustainable supply chains: design and development guidelines. International Journal of Productivity and Performance Management, v. 62, n. 8, p. 805-826.

SHARMA, M. K.; BHAGWAT, R. (2007) An integrated BSC-AHP approach for supply chain management evaluation. Measuring Business Excellence, v. 11, n. 3, p. 57-68.

SHAW, S.; GRANT, D. B.; MANGAN, J. (2010) Developing environmental supply chain performance measures. Benchmarking, v. 17, n. 3, p. 320-339.

SINGHAL, K.; SINGHAL, J. (2012) Opportunities for developing the science of operations and supply-chain management. Journal of Operations Management, v. 30, n. 3, p. 245-252.

THAKKAR, J.; KANDA, A.; DESHMUKH, S. G. (2009) Supply chain performance measurement framework for small and medium scale enterprises. Benchmarking, v. 16, n. 5, p. 702-723.

TSANG, A. H. C.; JARDINE, A. K. S.; KOLODNY, H. (1999) Measuring maintenance performance: a holistic approach. International Journal of Operations & Production Management, v. 19, n. 7, p. 691-715.

VARMA, S.; WADHWA, S.; DESHMUKH, S. G. (2008) Evaluating petroleum supply chain performance: application of analytical hierarchy process to balanced scorecard. Asia Pacific Journal of Marketing and Logistics, v. 20, n. 3, p. 343-356.

VERDECHO, M. J.; ALFARO, J. J.; RODRIGUEZ-RODRIGUEZ, R. (2009) Foundations for collaborative performance measurement. Production Planning & Control, v. 20, n. 3, p. 193-205.

VILLAS, M. V.; SOARES, T. D. L. V. A. M.; RUSSO, G. M. (2008) Bibliographical research method for business administration studies: a model based on scientific journal ranking. Brazilian Administration Review, v. 5, n. 2, p. 139-159.

WALTER, O. M. F. C.; TUBINO, D. F. (2013) Métodos de avaliação da implantação da manufatura enxuta: uma revisão da literatura e classificação. Gestão & Produção, v. 20, n. 1, p. 23-45.

WANG, X.; LI, Z. (2011) An new evaluation model for synchronized supply chain based on entropy weight and TOPSIS. Advances in information Sciences and Service Sciences (AISS), v. 3, n. 10, p. 30-35.

WU, I-L.; CHANG, C-H. (2012) Using the balanced scorecard in assessing the performance of e-SCM diffusion: a multi-stage perspective. Decision Support Systems, v. 52, n. 2, p. 474-485.

XIAN, S.; QIU, D.; ZHANG, S. (2013) A fuzzy principal component analysis approach to hierarchical evaluation model for balanced supply chain scorecard grading. Journal of Optimization Theory and Applications, v. 159, n. 2, p. 518-535.

YANG, J. (2009) Integrative performance evaluation for supply chain system based on logarithm triangular fuzzy number-AHP method. Kybernetes, v. 38, n. 10, p. 1760-1770.

ZIMMERMANN, K.; SEURING, S. (2009) Two case studies on developing, implementing and evaluating a balanced scorecard in distribution channel dyads. International Journal of Logistics Research and Applications, v. 12, n. 1, p. 63-81.


Article Metrics

Metrics Loading ...

Metrics powered by PLOS ALM


  • There are currently no refbacks.

Copyright (c)


Logo Gaudeamus






Logo Kennedy

Logo Columbia

Logo UCS


Logo OPT

Logo Biblioteca Professor Milton Cabral Moreira

Logo UFL