IDEAS home Printed from https://ideas.repec.org/a/beo/journl/v63y2018i218p105-128.html
   My bibliography  Save this article

A Dea-Based Tool For Tracking Best Practice Exemplars: The Case Of Telecommunications In Ebrd Countries

Author

Listed:
  • Marijana Petrović
  • Nataša Bojković
  • Mladen Stamenković

Abstract

Benchmarking is a strategic management tool that can help to gain competitive advantage, but the question is how to decide the relevant practice exemplars to be used as role models. Data Envelopment Analysis (DEA) is a very helpful method for tracking corresponding benchmarks, but the question remains of how to record them when performance is fluctuating and unstable, as is the case in a transition period to an open market. To address this issue a new DEA-based tool is proposed, the Corresponding Benchmark Matrix (CBM), which helps to reveal ‘leader’ countries and the most suitable benchmarks for less successful countries. The approach is illustrated for telecommunications in 22 European Bank for Reconstruction and Development (EBRD) countries.

Suggested Citation

  • Marijana Petrović & Nataša Bojković & Mladen Stamenković, 2018. "A Dea-Based Tool For Tracking Best Practice Exemplars: The Case Of Telecommunications In Ebrd Countries," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 63(218), pages 105-128, July – Se.
  • Handle: RePEc:beo:journl:v:63:y:2018:i:218:p:105-128
    as

    Download full text from publisher

    File URL: http://www.ekof.bg.ac.rs/wp-content/uploads/2014/04/515-1.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Falcetti, Elisabetta & Lysenko, Tatiana & Sanfey, Peter, 2006. "Reforms and growth in transition: Re-examining the evidence," Journal of Comparative Economics, Elsevier, vol. 34(3), pages 421-445, September.
    2. Banker, Rajiv D. & Chang, Hsihui, 2006. "The super-efficiency procedure for outlier identification, not for ranking efficient units," European Journal of Operational Research, Elsevier, vol. 175(2), pages 1311-1320, December.
    3. Guan, Jian Cheng & Yam, Richard C.M. & Mok, Chiu Kam & Ma, Ning, 2006. "A study of the relationship between competitiveness and technological innovation capability based on DEA models," European Journal of Operational Research, Elsevier, vol. 170(3), pages 971-986, May.
    4. Resende, Marcelo, 2008. "Efficiency measurement and regulation in US telecommunications: A robustness analysis," International Journal of Production Economics, Elsevier, vol. 114(1), pages 205-218, July.
    5. 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.
    6. Sueyoshi, Toshiyuki, 1994. "Stochastic frontier production analysis: Measuring performance of public telecommunications in 24 OECD countries," European Journal of Operational Research, Elsevier, vol. 74(3), pages 466-478, May.
    7. Petrović, Marijana & Bojković, Nataša & Stamenković, Mladen & Anić, Ivan, 2018. "Supporting performance appraisal in ELECTRE based stepwise benchmarking model," Omega, Elsevier, vol. 78(C), pages 237-251.
    8. Subodh Kumar & R. Robert Russell, 2002. "Technological Change, Technological Catch-up, and Capital Deepening: Relative Contributions to Growth and Convergence," American Economic Review, American Economic Association, vol. 92(3), pages 527-548, June.
    9. Adler, Nicole & Friedman, Lea & Sinuany-Stern, Zilla, 2002. "Review of ranking methods in the data envelopment analysis context," European Journal of Operational Research, Elsevier, vol. 140(2), pages 249-265, July.
    10. Madden, Gary & Savage, Scott J., 1999. "Telecommunications productivity, catch-up and innovation," Telecommunications Policy, Elsevier, vol. 23(1), pages 65-81, February.
    11. 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.
    12. Ceccobelli, M. & Gitto, S. & Mancuso, P., 2012. "ICT capital and labour productivity growth: A non-parametric analysis of 14 OECD countries," Telecommunications Policy, Elsevier, vol. 36(4), pages 282-292.
    13. Jahanshahloo, Gholam Reza & Junior, Helcio Vieira & Lotfi, Farhad Hosseinzadeh & Akbarian, Darush, 2007. "A new DEA ranking system based on changing the reference set," European Journal of Operational Research, Elsevier, vol. 181(1), pages 331-337, August.
    14. 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.
    15. Chen, Yao, 2004. "Ranking efficient units in DEA," Omega, Elsevier, vol. 32(3), pages 213-219, June.
    16. Prajogo, Daniel I. & Sohal, Amrik S., 2006. "The integration of TQM and technology/R&D management in determining quality and innovation performance," Omega, Elsevier, vol. 34(3), pages 296-312, June.
    17. 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.
    18. Lam, Pun-Lee & Shiu, Alice, 2010. "Economic growth, telecommunications development and productivity growth of the telecommunications sector: Evidence around the world," Telecommunications Policy, Elsevier, vol. 34(4), pages 185-199, May.
    19. Ekaterina Markova, 2009. "Liberalization and Regulation of the Telecommunications Sector in Transition Countries," Contributions to Economics, Springer, number 978-3-7908-2104-8.
    20. Mladen Stamenković & Ivan Anić & Marijana Petrović & Nataša Bojković, 2016. "An ELECTRE approach for evaluating secondary education profiles: evidence from PISA survey in Serbia," Annals of Operations Research, Springer, vol. 245(1), pages 337-358, October.
    21. Lam, Pun-Lee & Shiu, Alice, 2008. "Productivity analysis of the telecommunications sector in China," Telecommunications Policy, Elsevier, vol. 32(8), pages 559-571, September.
    22. Sok-Gee Chan Mohd & Zaini Abd Karim, 2012. "Public Spending Efficiency And Political And Economic Factors: Evidence From Selected East Asian Countries," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 57(193), pages 7-24, April- Ju.
    23. Lien, Donald & Peng, Yan, 2001. "Competition and production efficiency: Telecommunications in OECD countries," Information Economics and Policy, Elsevier, vol. 13(1), pages 51-76, March.
    24. Đorđe Mitrović, 2015. "Broadband Adoption, Digital Divide, And The Global Economic Competitiveness Of Western Balkan Countries," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 60(207), pages 95-116, September.
    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. Kadziński, Miłosz & Stamenković, Mladen & Uniejewski, Maciej, 2022. "Stepwise benchmarking for multiple criteria sorting," Omega, Elsevier, vol. 108(C).
    2. Oredegbe, Abayomi & Zhang, Yahua, 2020. "Telecommunications industry efficiency: A comparative analysis of high and middle income countries," Telecommunications Policy, Elsevier, vol. 44(5).
    3. Mladen Stamenković, 2023. "Where Did All The Papers Go? A Bibliometric Overview Of Publications In Economics From Serbia," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 68(236), pages 29-50, January –.

    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. Fazıl Gökgöz & Fatma Demir, 2014. "An Efficiency Analysis For The European Telecommunication Sector," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 8(1), pages 141-158.
    2. Rezaeiani, M.J. & Foroughi, A.A., 2018. "Ranking efficient decision making units in data envelopment analysis based on reference frontier share," European Journal of Operational Research, Elsevier, vol. 264(2), pages 665-674.
    3. Kang, Hee Jay & Kim, Changhee & Choi, Kanghwa, 2024. "Combining bootstrap data envelopment analysis with social networks for rank discrimination and suitable potential benchmarks," European Journal of Operational Research, Elsevier, vol. 312(1), pages 283-297.
    4. Lampe, Hannes W. & Hilgers, Dennis, 2015. "Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA," European Journal of Operational Research, Elsevier, vol. 240(1), pages 1-21.
    5. Jiyoung Lee & Gyunghyun Choi, 2019. "A Dominance-Based Network Method for Ranking Efficient Decision-Making Units in Data Envelopment Analysis," Sustainability, MDPI, vol. 11(7), pages 1-20, April.
    6. Seyed Rakhshan & Ali Kamyad & Sohrab Effati, 2015. "Ranking decision-making units by using combination of analytical hierarchical process method and Tchebycheff model in data envelopment analysis," Annals of Operations Research, Springer, vol. 226(1), pages 505-525, March.
    7. Alireza Amirteimoori & Sohrab Kordrostami, 2012. "A distance-based measure of super efficiency in data envelopment analysis: an application to gas companies," Journal of Global Optimization, Springer, vol. 54(1), pages 117-128, September.
    8. Tran, Trung Hieu & Mao, Yong & Nathanail, Paul & Siebers, Peer-Olaf & Robinson, Darren, 2019. "Integrating slacks-based measure of efficiency and super-efficiency in data envelopment analysis," Omega, Elsevier, vol. 85(C), pages 156-165.
    9. Dariush Akbarian, 2015. "Ranking All DEA-Efficient DMUs Based on Cross Efficiency and Analytic Hierarchy Process Methods," Journal of Optimization, Hindawi, vol. 2015, pages 1-10, January.
    10. Mohammad Izadikhah & Reza Farzipoor Saen & Razieh Roostaee, 2018. "How to assess sustainability of suppliers in the presence of volume discount and negative data in data envelopment analysis?," Annals of Operations Research, Springer, vol. 269(1), pages 241-267, October.
    11. Constantino J. Garcia Martin & Amparo Medal-Bartual & Marta Peris-Ortiz, 2014. "Analysis of efficiency and profitability of franchise services," The Service Industries Journal, Taylor & Francis Journals, vol. 34(9-10), pages 796-810, July.
    12. Ghasemi, Mohammad Reza & Ignatius, Joshua & Rezaee, Babak, 2019. "Improving discriminating power in data envelopment models based on deviation variables framework," European Journal of Operational Research, Elsevier, vol. 278(2), pages 442-447.
    13. 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.
    14. Sebastian Kohl & Jan Schoenfelder & Andreas Fügener & Jens O. Brunner, 2019. "The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals," Health Care Management Science, Springer, vol. 22(2), pages 245-286, June.
    15. Byambaakhuu, Badamasuren & Kwon, Youngsun & Rho, Jaejeung, 2012. "Productivity grwoth and efficiency changes in the Mongolian mobile communications industry," 19th ITS Biennial Conference, Bangkok 2012: Moving Forward with Future Technologies - Opening a Platform for All 72521, International Telecommunications Society (ITS).
    16. Aparicio, Juan & López-Torres, Laura & Santín, Daniel, 2018. "Economic crisis and public education. A productivity analysis using a Hicks-Moorsteen index," Economic Modelling, Elsevier, vol. 71(C), pages 34-44.
    17. Marcel Clermont & Julia Schaefer, 2019. "Identification of Outliers in Data Envelopment Analysis," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 71(4), pages 475-496, October.
    18. Simon de Blas, Clara & Simon Martin, Jose & Gomez Gonzalez, Daniel, 2018. "Combined social networks and data envelopment analysis for ranking," European Journal of Operational Research, Elsevier, vol. 266(3), pages 990-999.
    19. Li, Yongjun & Xie, Jianhui & Wang, Meiqiang & Liang, Liang, 2016. "Super efficiency evaluation using a common platform on a cooperative game," European Journal of Operational Research, Elsevier, vol. 255(3), pages 884-892.
    20. Qiwei Xie & Linda L. Zhang & Haichao Shang & Ali Emrouznejad & Yongjun Li, 2021. "Evaluating performance of super-efficiency models in ranking efficient decision-making units based on Monte Carlo simulations," Annals of Operations Research, Springer, vol. 305(1), pages 273-323, October.

    More about this item

    Keywords

    benchmarking; DEA; corresponding benchmark matrix; telecommunications policy;
    All these keywords.

    JEL classification:

    • P52 - Political Economy and Comparative Economic Systems - - Comparative Economic Systems - - - Comparative Studies of Particular Economies
    • L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory

    Statistics

    Access and download statistics

    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:beo:journl:v:63:y:2018:i:218:p:105-128. 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: Goran Petrić (email available below). General contact details of provider: https://edirc.repec.org/data/efbeoyu.html .

    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.