IDEAS home Printed from https://ideas.repec.org/a/eee/jomega/v81y2018icp67-84.html
   My bibliography  Save this article

How well is the museum performing? A joint use of DEA and BSC to measure the performance of museums

Author

Listed:
  • Basso, Antonella
  • Casarin, Francesco
  • Funari, Stefania

Abstract

Measuring the performance has become an important issue also in the cultural sector. In the recent literature, in order to evaluate the performance of museums, Data Envelopment Analysis (DEA) models have been proposed; these models allow to take into account the multidimensional nature of the museum performance.

Suggested Citation

  • Basso, Antonella & Casarin, Francesco & Funari, Stefania, 2018. "How well is the museum performing? A joint use of DEA and BSC to measure the performance of museums," Omega, Elsevier, vol. 81(C), pages 67-84.
    • Handle: RePEc:eee:jomega:v:81:y:2018:i:c:p:67-84
    DOI: 10.1016/j.omega.2017.09.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0305048316305801
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.omega.2017.09.010?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. V V Podinovski, 2004. "Production trade-offs and weight restrictions in data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(12), pages 1311-1322, December.
    3. François Mairesse & Philippe Vanden Eeckaut, 2002. "Museum Assessment and FDH Technology: Towards a Global Approach," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 26(4), pages 261-286, November.
    4. IIde Rizzo & Ruth Towse (ed.), 2002. "The Economics of Heritage," Books, Edward Elgar Publishing, number 2770.
    5. Sarrico, C. S. & Dyson, R. G., 2004. "Restricting virtual weights in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 159(1), pages 17-34, November.
    6. Lidia Angulo-Meza & Marcos Lins, 2002. "Review of Methods for Increasing Discrimination in Data Envelopment Analysis," Annals of Operations Research, Springer, vol. 116(1), pages 225-242, October.
    7. Lovell, C. A. Knox & Pastor, Jesus T., 1999. "Radial DEA models without inputs or without outputs," European Journal of Operational Research, Elsevier, vol. 118(1), pages 46-51, October.
    8. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "A survey of DEA applications," Omega, Elsevier, vol. 41(5), pages 893-902.
    9. Antonella Basso & Stefania Funari, 2004. "A Quantitative Approach to Evaluate the Relative Efficiency of Museums," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 28(3), pages 195-216, August.
    10. 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.
    11. Banker, Rajiv D. & Chang, Hsihui & Janakiraman, Surya N. & Konstans, Constantine, 2004. "A balanced scorecard analysis of performance metrics," European Journal of Operational Research, Elsevier, vol. 154(2), pages 423-436, April.
    12. 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.
    13. Laurens Cherchye & Willem Moesen & Nicky Rogge & Tom Puyenbroeck, 2007. "An Introduction to ‘Benefit of the Doubt’ Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 82(1), pages 111-145, May.
    14. Eilat, Harel & Golany, Boaz & Shtub, Avraham, 2008. "R&D project evaluation: An integrated DEA and balanced scorecard approach," Omega, Elsevier, vol. 36(5), pages 895-912, October.
    15. Tser‐yieth Chen & Chie‐Bein Chen & Sin‐Ying Peng, 2008. "Firm operation performance analysis using data envelopment analysis and balanced scorecard," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 57(7), pages 523-539, September.
    16. 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.
    17. Karagiannis, Giannis & Knox Lovell, C.A., 2016. "Productivity measurement in radial DEA models with a single constant input," European Journal of Operational Research, Elsevier, vol. 251(1), pages 323-328.
    18. 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.
    19. Ting Ling Wei & Howard Davey & David Coy, 2008. "A disclosure index to measure the quality of annual reporting by museums in New Zealand and the UK," Journal of Applied Accounting Research, Emerald Group Publishing Limited, vol. 9(1), pages 29-51, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yanfang Zhang & Mushang Lee, 2019. "A Hybrid Model for Addressing the Relationship between Financial Performance and Sustainable Development," Sustainability, MDPI, vol. 11(10), pages 1-15, May.
    2. Qing Zhu & Renxian Zuo & Yuze Li & Shan Liu, 2021. "A system evaluation of NBA rookie contract execution efficiency with stacked Autoencoder and hybrid DEA," Operational Research, Springer, vol. 21(4), pages 2771-2807, December.
    3. Paolo Ferri & Simone Napolitano & Luca Zan, 2023. "The income gap reporting framework in public not-for-profit organizations: the British Museum case," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 27(4), pages 1303-1338, December.
    4. Antonella Basso & Stefania Funari, 2020. "DEA-BSC and Diamond Performance to Support Museum Management," Mathematics, MDPI, vol. 8(9), pages 1-20, August.
    5. Calogero Guccio & Marco Martorana & Isidoro Mazza & Giacomo Pignataro & Ilde Rizzo, 2020. "An analysis of the efficiency of Italian museums using a generalised conditional efficiency model," ACEI Working Paper Series AWP-06-2020, Association for Cultural Economics International, revised Feb 2020.
    6. Calogero Guccio & Marco Martorana & Isidoro Mazza & Giacomo Pignataro & Ilde Rizzo, 2019. "An analysis of the efficiency of Italian museums using a generalised conditional efficiency model," ACEI Working Paper Series AWP-06-2019, Association for Cultural Economics International, revised Dec 2019.
    7. Sarraf, Fatemeh & Nejad, Shabnam Hashemi, 2020. "Improving performance evaluation based on balanced scorecard with grey relational analysis and data envelopment analysis approaches: Case study in water and wastewater companies," Evaluation and Program Planning, Elsevier, vol. 79(C).
    8. Calogero Guccio & Marco Ferdinando Martorana & Isidoro Mazza & Giacomo Pignataro & Ilde Rizzo, 2022. "Is innovation in ICT valuable for the efficiency of Italian museums?," European Planning Studies, Taylor & Francis Journals, vol. 30(9), pages 1695-1716, September.
    9. Olkis, Christopher & Brandani, Stefano & Santori, Giulio, 2019. "Design and experimental study of a small scale adsorption desalinator," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    10. Antonella Basso & Stefania Funari, 2020. "A three-system approach that integrates DEA, BSC, and AHP for museum evaluation," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 43(2), pages 413-441, December.
    11. Guccio, Calogero & Martorana, Marco & Mazza, Isidoro & Pignataro, Giacomo & Rizzo, Ilde, 2020. "An analysis of the managerial performance of Italian museums using a generalised conditional efficiency model," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    12. Pei-Hsuan Tsai & Chin-Tsai Lin, 2018. "How Should National Museums Create Competitive Advantage Following Changes in the Global Economic Environment?," Sustainability, MDPI, vol. 10(10), pages 1-20, October.
    13. Fernández, Flavia M, 2021. "Cuadro de Mando Integral en la enseñanza de grado. Una propuesta integradora [Balanced Scorecard in degree teaching. An integrated view]," MPRA Paper 105568, University Library of Munich, Germany.
    14. Ming-Fu Hsu & Chingho Chang & Jhih‐Hong Zeng, 2022. "Automated text mining process for corporate risk analysis and management," Risk Management, Palgrave Macmillan, vol. 24(4), pages 386-419, December.
    15. Yalcin Berberoglu & Yigit Kazancoglu & Muhittin Sagnak, 2023. "Circularity assessment of logistics activities for green business performance management," Business Strategy and the Environment, Wiley Blackwell, vol. 32(7), pages 4734-4749, November.
    16. Ming-Fu Hsu & Ying-Shao Hsin & Fu-Jiing Shiue, 2022. "Business analytics for corporate risk management and performance improvement," Annals of Operations Research, Springer, vol. 315(2), pages 629-669, August.
    17. María José Barrio-Tellado & Luis César Herrero-Prieto, 2019. "Modelling museum efficiency in producing inter-reliant outputs," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 43(3), pages 485-512, September.
    18. Kaya, Gizem & Aydın, Umut & Ülengin, Burç & Karadayı, Melis Almula & Ülengin, Füsun, 2023. "How do airlines survive? An integrated efficiency analysis on the survival of airlines," Journal of Air Transport Management, Elsevier, vol. 107(C).
    19. Wei Wei & Zulqarnain Mushtaq & Amir Ikram & Muhammad Faisal & Zhang Wan-Li & Muhammad Irshad Ahmad, 2020. "Estimating the Economic Viability of Cotton Growers in Punjab Province, Pakistan," SAGE Open, , vol. 10(2), pages 21582440209, May.
    20. Wenling Wang & Tong Chen, 2020. "Efficiency Evaluation and Influencing Factor Analysis of China’s Public Cultural Services Based on a Super-Efficiency Slacks-Based Measure Model," Sustainability, MDPI, vol. 12(8), pages 1-14, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Martin Bod’a & Martin Dlouhý & Emília Zimková, 2018. "Unobservable or omitted production variables in data envelopment analysis through unit-specific production trade-offs," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(4), pages 813-846, December.
    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. Zervopoulos, Panagiotis D. & Brisimi, Theodora S. & Emrouznejad, Ali & Cheng, Gang, 2016. "Performance measurement with multiple interrelated variables and threshold target levels: Evidence from retail firms in the US," European Journal of Operational Research, Elsevier, vol. 250(1), pages 262-272.
    4. Calogero Guccio & Marco Martorana & Isidoro Mazza & Ilde Rizzo, 2021. "Back to the Future: Does the use of information and communication technology enhance the performance of public historical archives?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 45(1), pages 13-43, March.
    5. Panagiotis Ravanos & Giannis Karagiannis, 2022. "On VEA, Production Trade-offs and Weight Restrictions," Discussion Paper Series 2022_04, Department of Economics, University of Macedonia, revised Jun 2022.
    6. 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.
    7. Victor V. Podinovski & Wan Rohaida Wan Husain, 2017. "The hybrid returns-to-scale model and its extension by production trade-offs: an application to the efficiency assessment of public universities in Malaysia," Annals of Operations Research, Springer, vol. 250(1), pages 65-84, March.
    8. Zanella, Andreia & Camanho, Ana S. & Dias, Teresa G., 2015. "Undesirable outputs and weighting schemes in composite indicators based on data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 245(2), pages 517-530.
    9. Van Puyenbroeck, Tom & Rogge, Nicky, 2017. "Geometric mean quantity index numbers with Benefit-of-the-Doubt weights," European Journal of Operational Research, Elsevier, vol. 256(3), pages 1004-1014.
    10. Dyckhoff, Harald & Souren, Rainer, 2022. "Integrating multiple criteria decision analysis and production theory for performance evaluation: Framework and review," European Journal of Operational Research, Elsevier, vol. 297(3), pages 795-816.
    11. Salvatore Greco & Alessio Ishizaka & Menelaos Tasiou & Gianpiero Torrisi, 2019. "On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 61-94, January.
    12. Youchao Tan & Yang Zhang & Roohollah Khodaverdi, 2017. "Service performance evaluation using data envelopment analysis and balance scorecard approach: an application to automotive industry," Annals of Operations Research, Springer, vol. 248(1), pages 449-470, January.
    13. Calogero Guccio & Anna Mignosa & Ilde Rizzo, 2017. "Disentangle inefficiency in the production activities of Italian national libraries: A network DEA approach," ACEI Working Paper Series AWP-04-2017, Association for Cultural Economics International, revised Mar 2017.
    14. Tom Puyenbroeck, 2018. "On the Output Orientation of the Benefit-of-the-Doubt-Model," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(2), pages 415-431, September.
    15. Bošković Aleksandra & Krstić Ana, 2020. "The Combined Use of Balanced Scorecard and Data Envelopment Analysis in the Banking Industry," Business Systems Research, Sciendo, vol. 11(1), pages 4-15, March.
    16. Vincent Charles & Guillermo Díaz, 2017. "A Non-radial DEA Index for Peruvian Regional Competitiveness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(2), pages 747-770, November.
    17. Victor Podinovski & Emmanuel Thanassoulis, 2007. "Improving discrimination in data envelopment analysis: some practical suggestions," Journal of Productivity Analysis, Springer, vol. 28(1), pages 117-126, October.
    18. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    19. Calogero Guccio & Marco Ferdinando Martorana & Isidoro Mazza & Giacomo Pignataro & Ilde Rizzo, 2022. "Is innovation in ICT valuable for the efficiency of Italian museums?," European Planning Studies, Taylor & Francis Journals, vol. 30(9), pages 1695-1716, September.
    20. Lee, Seonghee & Lee, Hakyeon, 2015. "Measuring and comparing the R&D performance of government research institutes: A bottom-up data envelopment analysis approach," Journal of Informetrics, Elsevier, vol. 9(4), pages 942-953.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jomega:v:81:y:2018:i:c:p:67-84. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/375/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.