A novel assessment approach to EFQM driven institutionalization using integrated fuzzy multi-criteria decision-making methods

Document Type : Article


1 Department of Industrial Engineering, Faculty of Engineering, Sakarya University, Turkey

2 Industrial Engineering, Engineering Faculty, Beykent University, Sakarya, Turkey

3 Industrial Engineering, Engineering Faculty, Sakarya University, Sakarya, Turkey


It is becoming increasingly difficult for enterprises to survive under competitive conditions. Enterprises with high levels of institutionalization are able to survive and benefit more advantages than their competitors. Excellence models are widespread tools for measuring the degree of institutionalization of enterprises. The importance of institutionalization has been increasingly considered in excellence models. EFQM (European Foundation for Quality Management) is a suitable tool to show how successful organizations are in terms of institutionalization. In this study, EFQM criteria are evaluated with fuzzy multi-criteria decision-making techniques. The fuzzy DEMATEL method is used to determine the interactions amongst main EFQM criteria. According to the relationship diagram obtained from the Fuzzy DEMATEL method, the weights of the sub criteria are calculated according to the expert evaluations using Fuzzy Analytic Network Process (FANP) method. The criterion “Business Results” has been determined to be the most important criteria. The criteria weights are taken as input for the VIKOR method. The institutional scores obtained by the proposed method, and the scores given by the EFQM evaluators to the institutions, are statistically analyzed to demonstrate that the proposed method has produced meaningful results.


Main Subjects

1. Aydemir, O.T., Alpkan, L., Kitapc, H., et al.
 Ozegerleme modellerinin denge skor kartgyla entegre
edilmesi: bir ozdegerleme modeli onerisi", Dumlupnar
 Universitesi Sosyal Bilimler Dergisi, 25(1), pp. 205{
220 (2015).
2. Steed, C., Maslow, D., and Mazaletskaya, A. The
EFQM excellence model for deploying quality management:
A British-Russian journey", Higher Education
Eur, 30, pp. 307{319 (2005).
3. Yazici, S. Mukemmellikte yeni arayslar: EFQM
mukemmellik modeli ve orgutsel ogrenme", On Kalite
Dernegi, 39, pp. 32{38 (2000).
4. Yaghoubi, N.M., Bandeii, M., and Moloudi, J. An
empirical study of the EFQM excellence model in
Iran", International Journal of Business Management,
6(5), p. 260 (2011).
5. European Foundation for Quality Management
(EFQM), EFQM Model for Business Excellence,
Brussels: EFQM (2012).
6. Liu, Y.-H. and Ko, P.-F. A modi ed EFQM Excellence
Model for e ective evaluation in the hotel industry",
Total Quality Management Business Excellence,
29(13), pp. 1{14 (2017).
7. Ziaei, A.E., Alirezaee, H., Riyahi, A., et al. Assess
causal relationships of EFQM model criteria using
fuzzy dematel", Int Bus Manag, 10(11), pp. 2185{2189
8. Taji, M., Siadat, A., and Hoveida, R. Identi cation
and ranking of key factors in
uencing organizational
agility implementation on total quality management",
Int Bus Manag, 10(15), pp. 2814{2822 (2016).
9. Naja , A. and Naji, E. Implementing the EFQM
model in the calcimin company using the fuzzy hybrid
electre approach", Indian Journal Sci Technol, 9(44),
pp. 1{7 (2016).
10. Saryazdi, M.D., Eslami, H., Shakerian, H., et al.
Utilizing fuzzy expert system in organizations' performance
assessment", IIOAB J, 7, pp. 410{417 (2016).
11. Hosseini, J.E., Dehghani, M.S., and Mostafaeipour, A.
Implementing fuzzy logic and AHP into the EFQM
model for performance improvement: A case study",
Applied Soft Computer, 36, pp. 165{176 (2015).
12. Sajedi, M.A. An improved TOPSIS/EFQM methodology
for evaluating the performance of organizations",
Life Sci. J., 10(1), pp. 4315{4322 (2013).
13. Aydin, S., Kahraman, C., and Kaya, _I. A new
fuzzy multicriteria decision making approach: An
application for European quality award assessment",
Knowledge Based Systems, 32, pp. 37{46 (2012).
14. Daniel, J., Yusu , R.M., and Jassbi, J. Assessment
system based on fuzzy scoring in European foundation
for quality management (EFQM): Business excellence
model", 5(15), pp. 6209{6220 (2011).
15. Dodangeh, J., Yusu , R.M., Ismail, N., et al. Designing
fuzzy multi criteria decision making model for
best selection of areas for improvement in European
foundation for quality management (EFQM) model",
Afr J. Bus. Manag., 5(12), p. 5010 (2011).
16. Paghaleh, M.J. Performance measurement by EFQM
excellence model with fuzzy approach", Aust. J. Basic
Appl. Sci., 5(10), pp. 1020{1024 (2001).
17. Kahveci, T.C. The institutionalization and the enterprise
modeling in the manufacturing rms", Dissertation,
Sakarya University (2007).
18. Dinc, E. Muhasebe bilgi sistemi ve kurumsallasma
duzeyi arasndaki iliskiye yonelik bir arastrma",
Sosyal ve Ekonomik Arastrmalar Dergisi, 27(1), pp.
21{50 (2014).
19. Alpay, G., Bodur, M., Ylmaz, C., et al. Performance
implications of institutionalization process in familyowned
businesses: evidence from an emerging economy",
Journal World Business, 43(4), pp. 435{448
892  O. Uygun et al./Scientia Iranica, Transactions E: Industrial Engineering 27 (2020) 880{892
20. Uygun,  O., Kahveci, T.C., Taskn, H., et al. Readiness
assessment model for institutionalization of SMEs
using fuzzy hybrid MCDM techniques", Computer
Industrial Engineering, 88(1), pp. 217{228 (2015).
21. C omlek, O.  Ozdegerlendirme ve verimlilik analizi
yoluyla performans degerlendirmeye yonelik bir model
onerisi", Dissertation, Gebze Yuksek Teknoloji Enstit
usu _Isletme Anabilim Dal (2009).
22. Chaghooshi, A.J., Rahmani, M., and Mohammad,
K.Z. Formulation and prioritization of strategies in
tile and ceramic industry: a case study", N. Y. Sci. J.,
5(6), pp. 79{87 (2012).
23. Wu, H.Y., Lin, Y.K., and Chang, C.H. Performance
evaluation of extension education centers in universities
based on the balanced scorecard", Evaluation
Program Plan, 34(1), pp. 37{50 (2011).
24. Liou, J.H. and Chuang, Y.T. Developing a hybrid
multi-criteria model for selection of outsourcing
providers", Expert Syst. Appl., 37(5), pp. 3755{3761
25. Lin, C.J., and Wu, W.W. A fuzzy extension of the
dematel method for group decision making", Eur. J.
Oper. Res., 156, pp. 445{455 (2004).
26. Lin, C.J. and Wu, W.W. A causal analytical method
for group decision-making under fuzzy environment",
Int. J. Qual. Reliab. Manag., 34(1), pp. 205{213
27. Saaty, T.L. The analytic network process. In Decision
making with the analytic network process", Springer,
Boston, MA. pp. 1{26 (2006).
28. Chang, D.Y. Applications of the extent analysis
method on fuzzy AHP", Eur. J. Oper. Res., 95(3),
pp. 649{655 (1996).
29. Opricovic, S. Multicriteria optimization of civil engineering
systems", Faculty of Civil Engineering, Belgrade,
2(1), pp. 5{21 (1998).
30. Opricovic, S. and Tzeng, G.H. Multicriteria planning
of post-earthquake sustainable reconstruction", Computer
Aided Civ. Infrastruct. Eng., 17(1), pp. 211{220
31. Poyraz, B. The e ects of self assessment study which
is made on people criteria of European excellence
model on human resources activities - a case study ",
Dissertation, Dokuz Eylul University (2008).