Cite

[1] R.a. Kaplan, D.P. Norton. “The balanced scorecard-measures that drive performance”. Harvard Business Review, vol. 70, no. 1, pp.71-9, 1992.Search in Google Scholar

[2] R.S. Kaplan and D.P. Norton. “The balanced scorecard: translating strategy into action”. Harvard Business Press, 1996.10.2307/41165876Search in Google Scholar

[3] C. Jayawardena and A. Sukhu. “Enhancing customer experience in Canadian hotels”. International Journal of Services, Economics and Management, vol. 6, no. 2, pp.163-180, 2014.10.1504/IJSEM.2014.062142Search in Google Scholar

[4] R.S. Kaplan and D.P. Norton. “Linking the balanced scorecard to strategy”. California management review, vol. 39, no. 1, pp. 53-79, 1996.10.2307/41165876Search in Google Scholar

[5] R.S. Kaplan and D.P. Norton. “Strategy maps: Converting intangible assets into tangible outcomes”. Harvard Business Press, 2004.10.1108/10878570410699825Search in Google Scholar

[6] R. Lawson, D. Desroches and T. Hatch. “Scorecard best practices: design, implementation, and evaluation”. John Wiley & Sons, 2008.Search in Google Scholar

[7] R.S. Kaplan and D.P. Norton. “The balanced scorecard: measures that drive performance”. Harvard Business School Publishing, 2005.Search in Google Scholar

[8] R.D. Banker, H. Chang, and M.J. Pizzini. “The balanced scorecard: Judgmental effects of performance measures linked to strategy”. The Accounting Review, vol. 79, no. 1, pp. 1-23, 2004.10.2308/accr.2004.79.1.1Search in Google Scholar

[9] O. Urikova, I. Ivanochko, N. Kryvinska, C. Strauss and P. Zinterhof. “Consideration of aspects affecting the evolvement of collaborative e-business in service organisations”. International Journal of Services, Economics and Management, vol. 5, no. 1-2, pp. 72-92, 2013.10.1504/IJSEM.2013.051863Search in Google Scholar

[10] R.S. Kaplan and D.P. Norton. “Putting the balanced scorecard to work”. Harvard Business Review, vol. 74, no. 5, pp.134-47, 1993.Search in Google Scholar

[11] V.H. Haase. “Computer models for strategic business process optimisation”. In Euromicro Conference, 2000. pp. 254-260.Search in Google Scholar

[12] T.Y. Chou and G.S. Liang. “Application of a fuzzy multi-criteria decision-making model for shipping company performance evaluation”. Maritime Policy & Management, vol. 28, no. 4, pp. 375-392, 2001.10.1080/03088830110049951Search in Google Scholar

[13] W.N. Dilla and P.J. Steinbart. “The effects of alternative supplementary display formats on balanced scorecard judgments”. International Journal of Accounting Information Systems, vol. 6, no.3, pp. 159-176, 2005.10.1016/j.accinf.2004.12.002Search in Google Scholar

[14] V. Köppen, H. Graubitz, H.K. Arndt and H.J. Lenz. “A procedure to estimate relations in a balanced scorecard”. In Data Analysis, Machine Learning and Applications, 2008, pp. 363-371.10.1007/978-3-540-78246-9_43Search in Google Scholar

[15] J. Thakkar, S.G. Deshmukh, A.D.Gupta and R. Shankar. “Development of a balanced scorecard: an integrated approach of interpretive structural modeling (ISM) and analytic network process (ANP)”. International Journal of Productivity and Performance Management, vol. 56, no. 1, pp. 25-59, 2006.10.1108/17410400710717073Search in Google Scholar

[16] P. Chytas, M. Glyka and G. Valiris. “A proactive fuzzy cognitive balanced scorecard.” In Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on pp. 1331-133810.1109/FUZZY.2008.4630545Search in Google Scholar

[17] F. Bobillo, M. Delgado, J. Gómez-Romero and E. López. “A semantic fuzzy expert system for a fuzzy balanced scorecard”. Expert Systems with Applications, vol. 36, no. 1, pp.423-433, 2009.10.1016/j.eswa.2007.09.020Search in Google Scholar

[18] L.E. Quezada, F.M. Cordova, P. Palominos, K. Godoy and J. Ross. “Method for identifying strategic objectives in strategy maps”. International Journal of Production Economics, vol. 122, no.1, pp. 492-500, 2009.10.1016/j.ijpe.2009.06.019Search in Google Scholar

[19] J.C.T Wu, H.T. Tsai, M.H. Shih and H.H. Fu. “Government performance evaluation using a balanced scorecard with a fuzzy linguistic scale”. The Service Industries Journal, vol. 30, no. 3, pp. 449-462, 2010.10.1080/02642060802248017Search in Google Scholar

[20] F. Buytendijk, T. Hatch and P. Micheli. “Scenario-based strategy maps”. Business Horizons, vol. 53, no. 4, pp. 335-347, 2010.10.1016/j.bushor.2010.02.002Search in Google Scholar

[21] H. Tohidi, A. Jafari and A.A. Afshar. “Strategic planning in Iranian educational organizations”. Procedia-Social and Behavioral Sciences, vol. 2, no. 2, pp. 3904-3908, 2010.Search in Google Scholar

[22] M.L. Tseng. “Implementation and performance evaluation using the fuzzy network balanced scorecard”. Computers & Education, vol. 55, no. 1, pp.188-201, 2010.10.1016/j.compedu.2010.01.004Search in Google Scholar

[23] J. Jassbi, F. Mohamadnejad and H. Nasrollahzadeh. “A Fuzzy DEMATEL framework for modeling cause and effect relationships of strategy map”. Expert systems with Applications, vol. 38, no. 5, pp. 5967-5973, 2011.Search in Google Scholar

[24] H.Y. Wu. “Constructing a strategy map for banking institutions with key performance indicators of the balanced scorecard”. Evaluation and Program Planning, vol. 35, no. 3, pp.303-320, 2012.10.1016/j.evalprogplan.2011.11.009Search in Google Scholar

[25] L.A.Zadeh. “Fuzzy sets”. Information and control, vol. 8, no. 3, pp. 338-353,1965.10.1016/S0019-9958(65)90241-XSearch in Google Scholar

[26] Kazemi, M.Y.N. Attari and M. Khorasani. “Evaluating service quality of airports with integrating TOPSIS and VIKOR under fuzzy environment”. International Journal of Services, Economics and Management, vol. 7, no. 2-4, pp. 154-166, 2016.10.1504/IJSEM.2016.081856Search in Google Scholar

[27] P.J.M. Van Laarhoven and W. Pedrycz. “A fuzzy extension of Saaty's priority theory”. Fuzzy sets and Systems, vol. 11, no. 1-3, pp. 229-241, 1983.10.1016/S0165-0114(83)80082-7Search in Google Scholar

[28] Kaufmann and M.M. Gupta. “Introduction to fuzzy arithmetic”. New York: Van Nostrand Reinhold Company, 1991.Search in Google Scholar

[29] Kaufmann and M.M. Gupta. “Fuzzy mathematical models in engineering and management science”. Elsevier Science Inc., 1998.Search in Google Scholar

[30] Y.M. Wang and K.S. Chin. “Fuzzy analytic hierarchy process: A logarithmic fuzzy preference programming methodology”. International Journal of Approximate Reasoning, vol. 52, no. 4, pp. 541-553, 2011.10.1016/j.ijar.2010.12.004Search in Google Scholar

[31] Carlsson and R. Fullér. “Multiple criteria decision making: the case for interdependence”. Computers & Operations Research, vol. 22, no. 3, pp. 251-260, 1995.10.1016/0305-0548(94)E0023-ZSearch in Google Scholar

[32] K. Zeleny. “Multiple criteria decision making: Eight concepts of optimality”. Human Systems Management, vol. 17, no. 2, pp. 97-107, 1998.10.3233/HSM-1998-17203Search in Google Scholar

[33] C.N. Vijeyamurthy and R. Panneerselvam. “Literature review of covering problem in operations management”. International Journal of Services, Economics and Management, vol. 2, no. 3-4, pp. 267-285, 2010.10.1504/IJSEM.2010.033367Search in Google Scholar

[34] J.L. Cohon. Multi-objective Programming and Planning. Academic Press, New York, 1978Search in Google Scholar

[35] H. Deng, C.H. Yeh and R.J. Willis. “Inter-company comparison using modified TOPSIS with objective weights”. Computers & Operations Research, vol. 27, no. 10, pp. 963-973, 2000.10.1016/S0305-0548(99)00069-6Search in Google Scholar

[36] M.F. Shipley, A. de Korvin and R. Obid. “A decision making model for multi-attribute problems incorporating uncertainty and bias measures”. Computers & operations research, vol. 18, no. 4, pp. 335-342, 1991.10.1016/0305-0548(91)90094-8Search in Google Scholar

[37] E. Shevtshenko, T. Karaulova., S.Kramarenko, S., Y.Wang,: “IDSS used as a framework for collaborative projects in conglomerate enterprises”. Journal of Achievements in Materials and Manufacturing Engineering, pp. 89-92, 2007.Search in Google Scholar

[38] I. Polyantchikov, E.Shevtshenko, T. Karaulova, T. Kangilaski, L. Camarinha-Matos, “Virtual enterprise formation in the context of a sustainable partner network”, Industrial Management & Data Systems, Vol. 117 (7), pp. 1446-1468, 2017.Search in Google Scholar

[39] S. Kaganski; J. Majak; K. Karjust; S. Toompalu, (2017). Implementation of key performance indicators selection model as part of the Enterprise Analysis Model. Procedia CIRP, 63: The 50th CIRP Conference on Manufacturing Systems (CMS). 03.05-05.05 Taichung City, Taiwan. Elsevier, pp. 283-288.10.1016/j.procir.2017.03.143Search in Google Scholar

[40] A. Sunder, (2019). Process Optimization and NVA Reduction by Network Analysis and Resequencing. Journal of Applied Industrial Engineering, vol. 6, no. 1, DOI: 10.4018/IJAIE.2019010102.10.4018/IJAIE.2019010102Open DOISearch in Google Scholar