Araştırma Makalesi
BibTex RIS Kaynak Göster

EFFICIENCY MEASUREMENT IN CONSTRUCTION SECTOR USING DATA ENVELOPMENT ANALYSIS METHOD

Yıl 2024, Sayı: 13, 44 - 50, 30.06.2024
https://doi.org/10.58627/dpuiibf.1489173

Öz

In addition to physiological needs such as hunger and thirst, people also have shelter needs. As a result of natural disasters such as fire, flood, earthquake, epidemics and wars, people settle in different regions. The world's increasing population, epidemics and disasters show how priority and vital the construction industry is. The earthquake disaster in Turkey and the increasing migration due to wars in the border regions once again reveal how important and priority the construction sector is for Turkey. As in many other sectors, labor and financial resources must be used efficiently in the construction industry. Measuring the efficiency of construction companies operating in Turkey is very important for the current situation of the construction industry. This study aims to evaluate the efficiency of ten companies on the Fortune 500 list operating in the field of construction and contracting in Turkey. The Data Envelopment Analysis (DEA) method is generally widely used in efficiency measurement. In the study, input-oriented CCR model and Super Efficiency (SE)-CCR model were used for efficiency analysis. For DEA analysis, "total assets" and "number of employees" were used as input variables, and "net sales" were used as output variables. According to the DEA analysis results, three of the ten companies considered as decision-making units (DMU) were efficient. Efficient companies are ranked among themselves according to the results of the SE CCR model.

Kaynakça

  • Banker, R.D., Charnes, A., and Cooper, W.W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078-1092. https://doi.org/10.1287/mnsc.30.9.1078
  • Bierens, H. J. (2014). The Tobit Model. [Electronic source] Url: http://grizzly.la.psu.edu/~hbierens/EasyRegTours/TOBIT_Tourfiles/TOBIT.PDF (Date of access: 05.05.2024)
  • Charnes, A., Cooper, W.W. & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444. https://doi.org/10.1016/0377-2217(78)90138-8
  • Coelli, T. J., et al. (1998). An Introduction to Efficiency and Productivity Analysis. Second Edition. New York: Springer,
  • Cooper, W.W., Seiford, L.M., and Zhu, J. (2011). Data envelopment analysis: History, models, and interpretations. In W. Cooper, L. Seiford, & J. Zhu (Eds.), Handbook on data envelopment analysis. Springer
  • Dalir, O., Torabi, T., Rabiei, M., Jahromi, M. (2024). Application of data envelopment analysis in determining the efficiency of management and company. International Journal of Nonlinear Analysis and Applications (IJNAA), 15(6), 237-243. http://dx.doi.org/10.22075/ijnaa.2023.31175.4582
  • De Leone, R. (2008). Data Envelopment Analysis . In: Floudas, C., Pardalos, P. (eds) Encyclopedia of Optimization. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-74759-0_107
  • Dzeng, R. J., & Wu, J. S. (2012). The cost efficiency of construction industry in Taiwan. The Open Construction & Building Technology Journal, 6(1), 8-19.
  • Ersoy, Y. (2021). Performance Evaluation in Distance Education by Using Data Envelopment Analysis (DEA) and TOPSIS Methods. Arabian Journal for Science and Engineering, 46, 1803-1807. https://doi.org/10.1007/s13369-020-05087-0
  • Ersoy, Y., & Tehci, A. (2023). Efficiency Evaluation of Energy Companies with Data Envelopment Analysis. The Journal of International Scientific Researches, 8(3), 360-366. https://doi.org/10.23834/isrjournal.1331147
  • Ersoy, T.H., and Küsbeci, P. (2023). Performance Evaluation of Public Hospitals with Data Envelopment Analysis (DEA) Method. The Journal of International Scientific Researches, 8(3), 333-351.
  • https://doi.org/10.23834/isrjournal.1328311 EViews 9 (2016). User’s Guide I-II. California: IHS Global Inc,
  • FORTUNE 500 Türkiye https://www.fortuneturkey.com/fortune500 Erişim 20/12/2023
  • Horta, I.M., Camanho, A.S. and Da Costa, J.M. (2010). Performance assessment of construction companies integrating key performance indicators and data envelopment analysis. Journal of Construction Engineering and Management, 136(5), 581-594. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000145
  • Henningsen, A. (2012). Estimating Censored Regression Models in R using the censReg Package. University of Copenhagen.
  • Hu, X., & Liu, C. (2018). Measuring efficiency, effectiveness and overall performance in the Chinese construction industry. Engineering, Construction and Architectural Management, 25(6), 780-797. https://doi.org/10.1108/ECAM-06-2016-0131
  • Hu, X., & Liu, C. (2016). Profitability performance assessment in the Australian construction industry: a global relational two-stage DEA method. Construction Management and Economics, 34(3), 147–159. https://doi.org/10.1080/01446193.2016.1180415
  • Kyrgiakos, L.S.., Kleftodimos, G., Vlontzos, G., Pardalos, P.M. (2023). A systematic literature review of data envelopment analysis implementation in agriculture under the prism of sustainability. Operational Research, 23(7). 1-38. https://doi.org/10.1007/s12351-023-00741-5
  • Lee Y-S. (2014). A survey of DEA applications in measuring the efficiency performance of construction organizations. Korean Journal of Construction Engineering and Management, 15(5),103–14. https://doi.org/10.6106/KJCEM.2014.15.5.103
  • Luo, L., Chen, H., Wu, G., Chen, L. (2022). A three-stage network DEA approach for performance evaluation of BIM application in construction projects. Technology in Society, 71, https://doi.org/10.1016/j.techsoc.2022.102105
  • Malik, M., Efendi, S., Zarlis, M. (2018). Data Envelopment Analysis (DEA) Model in Operation Management. IOP Conf. Series: Materials Science and Engineering, 300(2018), 1-7. doi:10.1088/1757-899X/300/1/012008
  • Narayaran, E., Ismail, W.R.B., Mustafa, Z.B. (2022). A data-envelopment analysis-based systematic review of the literature on innovation performance. Heliyon, 8(12), 1-15. https://doi.org/10.1016/j.heliyon.2022.e11925
  • Noorizadeh, A., Rashidi, K., & Peltokorpi, A. (2018). Categorizing suppliers for development investments in construction: application of DEA and RFM concept. Construction Management and Economics, 36(9), 487–506. https://doi.org/10.1080/01446193.2017.1416151
  • Obi, O.F., Lebel, L. & Latterini, F. (2023). A Review of Applications of Data Envelopment Analysis in Forest Engineering. Current Forestry Reports 9, 171–186. https://doi.org/10.1007/s40725-023-00183-4
  • Prabhu, P. G., & Ambika, D. (2013). Study on behaviour of workers in construction industry to improve production efficiency. International Journal of Civil, Structural, Environmental and Infrastructure Engineering Research and Development (IJCSEIERD), 3(1), 59-66.
  • Rostamzadeh, R., Akbarian, O., Banaitis, A., Soltani, Z. (2021). Application of DEA in Benchmarking: A Systematic Literature Review from 2003-2020. Technological and Economic Development of Economy, 27(1), 175-222. https://doi.org/10.3846/tede.2021.13406
  • Seiford, L.M, Zhu, J. (1999). Infeasibility of super-efficiency data envelopment analysis models. INFOR: Information Systems and Operational Research, 37(2), 174–187. https://doi.org/10.1080/03155986.1999.11732379 Sarı, E.B. (2018). Organize sanayi bölgelerinin etkinliklerinin veri zarflama analizi ile değerlendirilmesi. Ekonomi Bilimleri Dergisi, 10(2), 17-32.
  • Selamzade F., and Baghirov, A. (2022). Measuring the Efficiency of the Azerbaijan Banking System with Data Envelopment Analysis (2015-2019). Journal of Social Sciences of Mus Alparslan University, 10(1), 119-137. https://doi.org/10.18506/anemon.888731
  • Selamzade, F., Ersoy, Y., Ozdemir, Y., Celik, M.Y. (2023). Health Efficiency Measurement of OECD Countries Against the COVID-19 Pandemic by Using DEA and MCDM Methods. Arabian Journal for Science and Engineering, 48(11), 15695-15712. https://doi.org/10.1007/s13369-023-08114-
  • Shureshjani, R. A., Askarinejad, S., & Foroughi, A. A. (2022). Evaluating the Efficiency of Decision Making Units in Fuzzy two-stage DEA Models. Fuzzy Information and Engineering, 14(3), 291–313. https://doi.org/10.1080/16168658.2022.2152921
  • Sueyoshi, T. & Goto, M. (2009). DEA–DA for bankruptcy-based performance assessment: Misclassification analysis of Japanese construction industry. European Journal of Operational Research, 199(2), https://doi.org/10.1016/j.ejor.2008.11.039
  • Şahin, İ. E., & Karacan, K. B. (2020). Entropi Temelli Copras ve Aras Yöntemleri ile Borsa İstanbul İnşaat Endeksi XINSA Firmalarının Finansal Performans Analizi. Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, (44), 171-183.
  • Tobin, J. (1958) Estimation of Relationships for Limited Dependent Variables. Econometrica. Vol. 26.1.: 24-36. [Electronic source] Url: https://cran.r-project.org/web/packages/censReg/vignettes/censReg.pdf (Date of access: 05.05.2024).
  • Türkiye İnşaat Malzemesi Sanayicileri Derneği-İMSAD (2023) https://www.imsad.org Uploads/Files/ Turkiye_IMSAD_Aylik_Sektor_Raporu_NISAN2023.pdf Erişim 20/12/2023.
  • Türkiye Müteahhitler Birliği-TMB (2023) https://www.tmb.org.tr/files/doc/YDMH_01022023.pdf Erişim 20/12/2023
  • Xu, B., & Ouenniche, J. (2012) A data envelopment analysis-based framework for the relative performance evaluation of competing crude oil prices volatility forecasting models. Energy Economics, 34(2), 576–583. https://doi.org/10.1016/j.eneco.2011.12.005
  • Yang, Z., Fang, H., & Xue, X. (2021). Sustainable efficiency and CO2 reduction potential of China’s construction industry: application of a three-stage virtual frontier SBM-DEA model. Journal of Asian Architecture and Building Engineering, 21(2), 604–617. https://doi.org/10.1080/13467581.2020.1869019
  • Yesilyurt, O., & Salamov, F. (2017). Evaluation of Efficiency and Factors Influencing the Efficiency in the Health Systems of Turkic States with Super-efficiency and Tobit Models. BNEJSS. 03(02), 128-138.

VERİ ZARFLAMA ANALİZİ YÖNTEMİ KULLANILARAK İNŞAAT SEKTÖRÜNDE ETKİNLİK ÖLÇÜMÜ

Yıl 2024, Sayı: 13, 44 - 50, 30.06.2024
https://doi.org/10.58627/dpuiibf.1489173

Öz

İnsanların açlık susuzluk gibi fizyolojik ihtiyaçlarına ek olarak barınma ihtiyaçları da bulunmaktadır. Yangın, sel, deprem gibi doğal afetler, salgınlar ve savaşlar neticesinde insanlar farklı bölgelere yerleşmektedirler. Dünya genelinde artan nüfus, salgın hastalıklar ve felaketler inşaat sektörünün ne kadar öncelikli ve hayati öneme sahip bir sektör olduğunu göstermektedir. Türkiye’de yaşanan deprem felaketi ve sınır komşularında yaşanan savaşlara bağlı olarak artan göç inşaat sektörünün Türkiye açısından ne kadar önemli ve öncelikli olduğunu bir kez daha gözler önüne sermektedir. Diğer birçok sektörde olduğu gibi inşaat sektöründe de işgücü ve finansal kaynakların etkin bir şekilde kullanılması gerekmektedir. Türkiye’de faaliyet gösteren inşaat firmalarının etkinliklerinin ölçülmesi inşaat sektörünün mevcut durumu açısından oldukça önemlidir. Bu çalışmanın amacı Fortune 500 listesinde bulunan ve Türkiye’de inşaat ve taahhüt alanında faaliyet gösteren on firmanın etkinlik değerlendirmesini gerçekleştirmektir. Etkinlik ölçümünde genellikle Veri Zarflama Analizi (VZA) yöntemi yaygın bir şekilde kullanılmaktadır. Çalışmada etkinlik analizleri için girdi odaklı CCR modeli ve Süper Etkinlik (SE)-CCR modeli kullanılmıştır. VZA analizi için "toplam aktifler" ve "çalışan sayısı" girdi değişkenleri, "net satış" ise çıktı değişkeni olarak kullanılmıştır. VZA analizi sonuçlarına göre karar verme birimi (KVB) olarak ele alınan on firma arasından üçünün etkin olduğu tespit edilmiştir. Etkin çıkan firmalar SE CCR modeli sonuçlarına göre kendi aralarında sıralanmıştır.

Kaynakça

  • Banker, R.D., Charnes, A., and Cooper, W.W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078-1092. https://doi.org/10.1287/mnsc.30.9.1078
  • Bierens, H. J. (2014). The Tobit Model. [Electronic source] Url: http://grizzly.la.psu.edu/~hbierens/EasyRegTours/TOBIT_Tourfiles/TOBIT.PDF (Date of access: 05.05.2024)
  • Charnes, A., Cooper, W.W. & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444. https://doi.org/10.1016/0377-2217(78)90138-8
  • Coelli, T. J., et al. (1998). An Introduction to Efficiency and Productivity Analysis. Second Edition. New York: Springer,
  • Cooper, W.W., Seiford, L.M., and Zhu, J. (2011). Data envelopment analysis: History, models, and interpretations. In W. Cooper, L. Seiford, & J. Zhu (Eds.), Handbook on data envelopment analysis. Springer
  • Dalir, O., Torabi, T., Rabiei, M., Jahromi, M. (2024). Application of data envelopment analysis in determining the efficiency of management and company. International Journal of Nonlinear Analysis and Applications (IJNAA), 15(6), 237-243. http://dx.doi.org/10.22075/ijnaa.2023.31175.4582
  • De Leone, R. (2008). Data Envelopment Analysis . In: Floudas, C., Pardalos, P. (eds) Encyclopedia of Optimization. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-74759-0_107
  • Dzeng, R. J., & Wu, J. S. (2012). The cost efficiency of construction industry in Taiwan. The Open Construction & Building Technology Journal, 6(1), 8-19.
  • Ersoy, Y. (2021). Performance Evaluation in Distance Education by Using Data Envelopment Analysis (DEA) and TOPSIS Methods. Arabian Journal for Science and Engineering, 46, 1803-1807. https://doi.org/10.1007/s13369-020-05087-0
  • Ersoy, Y., & Tehci, A. (2023). Efficiency Evaluation of Energy Companies with Data Envelopment Analysis. The Journal of International Scientific Researches, 8(3), 360-366. https://doi.org/10.23834/isrjournal.1331147
  • Ersoy, T.H., and Küsbeci, P. (2023). Performance Evaluation of Public Hospitals with Data Envelopment Analysis (DEA) Method. The Journal of International Scientific Researches, 8(3), 333-351.
  • https://doi.org/10.23834/isrjournal.1328311 EViews 9 (2016). User’s Guide I-II. California: IHS Global Inc,
  • FORTUNE 500 Türkiye https://www.fortuneturkey.com/fortune500 Erişim 20/12/2023
  • Horta, I.M., Camanho, A.S. and Da Costa, J.M. (2010). Performance assessment of construction companies integrating key performance indicators and data envelopment analysis. Journal of Construction Engineering and Management, 136(5), 581-594. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000145
  • Henningsen, A. (2012). Estimating Censored Regression Models in R using the censReg Package. University of Copenhagen.
  • Hu, X., & Liu, C. (2018). Measuring efficiency, effectiveness and overall performance in the Chinese construction industry. Engineering, Construction and Architectural Management, 25(6), 780-797. https://doi.org/10.1108/ECAM-06-2016-0131
  • Hu, X., & Liu, C. (2016). Profitability performance assessment in the Australian construction industry: a global relational two-stage DEA method. Construction Management and Economics, 34(3), 147–159. https://doi.org/10.1080/01446193.2016.1180415
  • Kyrgiakos, L.S.., Kleftodimos, G., Vlontzos, G., Pardalos, P.M. (2023). A systematic literature review of data envelopment analysis implementation in agriculture under the prism of sustainability. Operational Research, 23(7). 1-38. https://doi.org/10.1007/s12351-023-00741-5
  • Lee Y-S. (2014). A survey of DEA applications in measuring the efficiency performance of construction organizations. Korean Journal of Construction Engineering and Management, 15(5),103–14. https://doi.org/10.6106/KJCEM.2014.15.5.103
  • Luo, L., Chen, H., Wu, G., Chen, L. (2022). A three-stage network DEA approach for performance evaluation of BIM application in construction projects. Technology in Society, 71, https://doi.org/10.1016/j.techsoc.2022.102105
  • Malik, M., Efendi, S., Zarlis, M. (2018). Data Envelopment Analysis (DEA) Model in Operation Management. IOP Conf. Series: Materials Science and Engineering, 300(2018), 1-7. doi:10.1088/1757-899X/300/1/012008
  • Narayaran, E., Ismail, W.R.B., Mustafa, Z.B. (2022). A data-envelopment analysis-based systematic review of the literature on innovation performance. Heliyon, 8(12), 1-15. https://doi.org/10.1016/j.heliyon.2022.e11925
  • Noorizadeh, A., Rashidi, K., & Peltokorpi, A. (2018). Categorizing suppliers for development investments in construction: application of DEA and RFM concept. Construction Management and Economics, 36(9), 487–506. https://doi.org/10.1080/01446193.2017.1416151
  • Obi, O.F., Lebel, L. & Latterini, F. (2023). A Review of Applications of Data Envelopment Analysis in Forest Engineering. Current Forestry Reports 9, 171–186. https://doi.org/10.1007/s40725-023-00183-4
  • Prabhu, P. G., & Ambika, D. (2013). Study on behaviour of workers in construction industry to improve production efficiency. International Journal of Civil, Structural, Environmental and Infrastructure Engineering Research and Development (IJCSEIERD), 3(1), 59-66.
  • Rostamzadeh, R., Akbarian, O., Banaitis, A., Soltani, Z. (2021). Application of DEA in Benchmarking: A Systematic Literature Review from 2003-2020. Technological and Economic Development of Economy, 27(1), 175-222. https://doi.org/10.3846/tede.2021.13406
  • Seiford, L.M, Zhu, J. (1999). Infeasibility of super-efficiency data envelopment analysis models. INFOR: Information Systems and Operational Research, 37(2), 174–187. https://doi.org/10.1080/03155986.1999.11732379 Sarı, E.B. (2018). Organize sanayi bölgelerinin etkinliklerinin veri zarflama analizi ile değerlendirilmesi. Ekonomi Bilimleri Dergisi, 10(2), 17-32.
  • Selamzade F., and Baghirov, A. (2022). Measuring the Efficiency of the Azerbaijan Banking System with Data Envelopment Analysis (2015-2019). Journal of Social Sciences of Mus Alparslan University, 10(1), 119-137. https://doi.org/10.18506/anemon.888731
  • Selamzade, F., Ersoy, Y., Ozdemir, Y., Celik, M.Y. (2023). Health Efficiency Measurement of OECD Countries Against the COVID-19 Pandemic by Using DEA and MCDM Methods. Arabian Journal for Science and Engineering, 48(11), 15695-15712. https://doi.org/10.1007/s13369-023-08114-
  • Shureshjani, R. A., Askarinejad, S., & Foroughi, A. A. (2022). Evaluating the Efficiency of Decision Making Units in Fuzzy two-stage DEA Models. Fuzzy Information and Engineering, 14(3), 291–313. https://doi.org/10.1080/16168658.2022.2152921
  • Sueyoshi, T. & Goto, M. (2009). DEA–DA for bankruptcy-based performance assessment: Misclassification analysis of Japanese construction industry. European Journal of Operational Research, 199(2), https://doi.org/10.1016/j.ejor.2008.11.039
  • Şahin, İ. E., & Karacan, K. B. (2020). Entropi Temelli Copras ve Aras Yöntemleri ile Borsa İstanbul İnşaat Endeksi XINSA Firmalarının Finansal Performans Analizi. Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, (44), 171-183.
  • Tobin, J. (1958) Estimation of Relationships for Limited Dependent Variables. Econometrica. Vol. 26.1.: 24-36. [Electronic source] Url: https://cran.r-project.org/web/packages/censReg/vignettes/censReg.pdf (Date of access: 05.05.2024).
  • Türkiye İnşaat Malzemesi Sanayicileri Derneği-İMSAD (2023) https://www.imsad.org Uploads/Files/ Turkiye_IMSAD_Aylik_Sektor_Raporu_NISAN2023.pdf Erişim 20/12/2023.
  • Türkiye Müteahhitler Birliği-TMB (2023) https://www.tmb.org.tr/files/doc/YDMH_01022023.pdf Erişim 20/12/2023
  • Xu, B., & Ouenniche, J. (2012) A data envelopment analysis-based framework for the relative performance evaluation of competing crude oil prices volatility forecasting models. Energy Economics, 34(2), 576–583. https://doi.org/10.1016/j.eneco.2011.12.005
  • Yang, Z., Fang, H., & Xue, X. (2021). Sustainable efficiency and CO2 reduction potential of China’s construction industry: application of a three-stage virtual frontier SBM-DEA model. Journal of Asian Architecture and Building Engineering, 21(2), 604–617. https://doi.org/10.1080/13467581.2020.1869019
  • Yesilyurt, O., & Salamov, F. (2017). Evaluation of Efficiency and Factors Influencing the Efficiency in the Health Systems of Turkic States with Super-efficiency and Tobit Models. BNEJSS. 03(02), 128-138.
Toplam 38 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Operasyon Stratejisi, Sürdürülebilir Operasyon Yönetimi, Üretim ve Operasyon Yönetimi
Bölüm Araştırma Makaleleri
Yazarlar

Yusuf Ersoy 0000-0002-0106-1695

Ali Tehci 0000-0001-9949-2794

Erken Görünüm Tarihi 30 Haziran 2024
Yayımlanma Tarihi 30 Haziran 2024
Gönderilme Tarihi 24 Mayıs 2024
Kabul Tarihi 13 Haziran 2024
Yayımlandığı Sayı Yıl 2024 Sayı: 13

Kaynak Göster

APA Ersoy, Y., & Tehci, A. (2024). EFFICIENCY MEASUREMENT IN CONSTRUCTION SECTOR USING DATA ENVELOPMENT ANALYSIS METHOD. Dumlupınar Üniversitesi İİBF Dergisi(13), 44-50. https://doi.org/10.58627/dpuiibf.1489173