How to cite this paper
Shahabi, V., Emami, M., Monnavari, M & Ghods, F. (2014). An exploration investigation on measuring the impact of information technology on bullwhip effect on supply chain management.Uncertain Supply Chain Management, 2(1), 33-42.
Refrences
Aggelogiannaki, E., & Sarimveis, H. (2008). Design of a novel adaptive inventory control system based on the online identification of lead time. International Journal of Production Economics, 114(2), 781-792.
Caplin, A. S. (1985). The variability of aggregate demand with (S, s) inventory policies. Econometrica: Journal of the Econometric Society, 1395-1409.
Croxton, K. L., Garcia-Dastugue, S. J., Lambert, D. M., & Rogers, D. S. (2001). The supply chain management processes. The International Journal of Logistics Management, 12(2), 13-36.
Chou, D. C., Tan, X., & Yen, D. C. (2004). Web technology and supply chain management. Information Management & Computer Security, 12(4), 338-349.
Croom, S. R. (2005). The impact of e-business on supply chain management: an empirical study of key developments. International Journal of Operations & Production Management, 25(1), 55-73.
Day, G. S. (1984). Strategic market planning: The pursuit of competitive advantage. St-Paul, Minnesota: West Publishing Company.
Dalalah,D., Hayajneh, M., & Batieha, F. (2011). A fuzzy multi-criteria decision making model for supplier selection. Expert Systems with Applications, 38, 8384-8391.
Demeter, K., Gelei, A., & Jenei, I. (2006). The effect of strategy on supply chain configuration and management practices on the basis of two supply chains in the Hungarian automotive industry. International Journal of Production Economics, 104(2), 555-570.
Disney, S. M., Towill, D. R., & Van de Velde, W. (2004). Variance amplification and the golden ratio in production and inventory control. International Journal of Production Economics, 90(3), 295-309.
Fontela, E., & Gabus, A. (1976). The DEMATEL observer. DEMATEL 1976 Report. Switzerland, Geneva: Battelle Geneva Research Center.
Forrester, J. W. (1961). Industrial Dynamics. Pegasus Communications. ISBN 1-883823-36-6.
Forrester, J. W. (1994). System dynamics, systems thinking, and soft OR. System Dynamics Review, 10(2?3), 245-256.
Gabus, A., & Fontela, E. (1973). Perceptions of the world problematique: communication procedure, communicating with those bearing collective responsibility. DEMATEL Report No. 1. Geneva, Switzerland: Battelle Geneva Research Center.
Geary, S., Disney, S. M., & Towill, D. R. (2006). On bullwhip in supply chains—historical review, present practice and expected future impact. International Journal of Production Economics, 101(1), 2-18.
Ha, S. H., & Krishnan, R. (2008). A hybrid approach to supplier selection for the maintenance of a competitive supply chain. Expert Systems with Applications, 34(2), 1303-1311.
Hoffman, N. P. (2000). An examination of the “sustainable competitive advantage” concept: past, present, and future. Academy of Marketing Science Review, 4, 1-16.
Huang, C. Y., Shyu, J. Z., & Tzeng, G. H. (2007). Reconfiguring the innovation policy portfolios for Taiwan’s SIP Mall industry. Technovation, 27, 744–765.
Kim, J. G., Chatfield, D., Harrison, T. P., & Hayya, J. C. (2006). Quantifying the bullwhip effect in a supply chain with stochastic lead time. European Journal of operational research, 173(2), 617-636.
Lee, H. L., Padmanabhan, V., & Whang, S. (1997). The bullwhip effect in supply chains. Sloan management review, 38(3), 93-102.
Lee, W. S., Huang, A. Y., Chang, Y. Y., & Cheng, C. M. (2011). Analysis of decision making factors for equity investment by DEMATEL and Analytic Network Process. Expert Systems with Applications, 38(7), 8375-8383.
Lo, C. C., & Chen, W. J. (2012). A hybrid information security risk assessment procedure considering interdependences between controls. Expert Systems with Applications, 39(1), 247-257.
Lu, L., & Wang, G. (2008). A study on multi-agent supply chain framework based on network economy. Computers & Industrial Engineering, 54(2), 288-300.
Luong, H. T. (2007). Measure of bullwhip effect in supply chains with autoregressive demand process. European Journal of Operational Research, 180(3), 1086-1097.
Machuca, J. A., & Barajas, R. P. (2004). The impact of electronic data interchange on reducing bullwhip effect and supply chain inventory costs. Transportation Research Part E: Logistics and Transportation Review, 40(3), 209-228.
Mestan, E., Türkay, M., & Arkun, Y. (2006). Optimization of operations in supply chain systems using hybrid systems approach and model predictive control. Industrial & engineering chemistry research, 45(19), 6493-6503.
Miragliotta, G. (2006). Layers and mechanisms: A new taxonomy for the bullwhip effect. International Journal of Production Economics, 104(2), 365-381.
Najmi, A & Makui, A. (2010). Providing hierarchical approach for measuring supply chain performance using AHP and DEMATEL methodologies. International Journal of Industrial Engineering Computations, 1(2), 199-212.
Opricovic, S., Tzeng, G.H. (2003). Defuzzification within a multicriteria decision model. International Journal of Uncertainty, Fuzziness and Knowledge-based Systems, 11, 635–652.
Sofiyabadi, J., movahedi, M & Nasab, S. (2012). Strategic orientation in evaluation of supply chain activities. Management Science Letters , 2(5), 1785-1794.
Zadeh, L.A. (1975). The concept of a linguistic variable and its application to approximate reasoning. Information Science, 8, 199-249.
Caplin, A. S. (1985). The variability of aggregate demand with (S, s) inventory policies. Econometrica: Journal of the Econometric Society, 1395-1409.
Croxton, K. L., Garcia-Dastugue, S. J., Lambert, D. M., & Rogers, D. S. (2001). The supply chain management processes. The International Journal of Logistics Management, 12(2), 13-36.
Chou, D. C., Tan, X., & Yen, D. C. (2004). Web technology and supply chain management. Information Management & Computer Security, 12(4), 338-349.
Croom, S. R. (2005). The impact of e-business on supply chain management: an empirical study of key developments. International Journal of Operations & Production Management, 25(1), 55-73.
Day, G. S. (1984). Strategic market planning: The pursuit of competitive advantage. St-Paul, Minnesota: West Publishing Company.
Dalalah,D., Hayajneh, M., & Batieha, F. (2011). A fuzzy multi-criteria decision making model for supplier selection. Expert Systems with Applications, 38, 8384-8391.
Demeter, K., Gelei, A., & Jenei, I. (2006). The effect of strategy on supply chain configuration and management practices on the basis of two supply chains in the Hungarian automotive industry. International Journal of Production Economics, 104(2), 555-570.
Disney, S. M., Towill, D. R., & Van de Velde, W. (2004). Variance amplification and the golden ratio in production and inventory control. International Journal of Production Economics, 90(3), 295-309.
Fontela, E., & Gabus, A. (1976). The DEMATEL observer. DEMATEL 1976 Report. Switzerland, Geneva: Battelle Geneva Research Center.
Forrester, J. W. (1961). Industrial Dynamics. Pegasus Communications. ISBN 1-883823-36-6.
Forrester, J. W. (1994). System dynamics, systems thinking, and soft OR. System Dynamics Review, 10(2?3), 245-256.
Gabus, A., & Fontela, E. (1973). Perceptions of the world problematique: communication procedure, communicating with those bearing collective responsibility. DEMATEL Report No. 1. Geneva, Switzerland: Battelle Geneva Research Center.
Geary, S., Disney, S. M., & Towill, D. R. (2006). On bullwhip in supply chains—historical review, present practice and expected future impact. International Journal of Production Economics, 101(1), 2-18.
Ha, S. H., & Krishnan, R. (2008). A hybrid approach to supplier selection for the maintenance of a competitive supply chain. Expert Systems with Applications, 34(2), 1303-1311.
Hoffman, N. P. (2000). An examination of the “sustainable competitive advantage” concept: past, present, and future. Academy of Marketing Science Review, 4, 1-16.
Huang, C. Y., Shyu, J. Z., & Tzeng, G. H. (2007). Reconfiguring the innovation policy portfolios for Taiwan’s SIP Mall industry. Technovation, 27, 744–765.
Kim, J. G., Chatfield, D., Harrison, T. P., & Hayya, J. C. (2006). Quantifying the bullwhip effect in a supply chain with stochastic lead time. European Journal of operational research, 173(2), 617-636.
Lee, H. L., Padmanabhan, V., & Whang, S. (1997). The bullwhip effect in supply chains. Sloan management review, 38(3), 93-102.
Lee, W. S., Huang, A. Y., Chang, Y. Y., & Cheng, C. M. (2011). Analysis of decision making factors for equity investment by DEMATEL and Analytic Network Process. Expert Systems with Applications, 38(7), 8375-8383.
Lo, C. C., & Chen, W. J. (2012). A hybrid information security risk assessment procedure considering interdependences between controls. Expert Systems with Applications, 39(1), 247-257.
Lu, L., & Wang, G. (2008). A study on multi-agent supply chain framework based on network economy. Computers & Industrial Engineering, 54(2), 288-300.
Luong, H. T. (2007). Measure of bullwhip effect in supply chains with autoregressive demand process. European Journal of Operational Research, 180(3), 1086-1097.
Machuca, J. A., & Barajas, R. P. (2004). The impact of electronic data interchange on reducing bullwhip effect and supply chain inventory costs. Transportation Research Part E: Logistics and Transportation Review, 40(3), 209-228.
Mestan, E., Türkay, M., & Arkun, Y. (2006). Optimization of operations in supply chain systems using hybrid systems approach and model predictive control. Industrial & engineering chemistry research, 45(19), 6493-6503.
Miragliotta, G. (2006). Layers and mechanisms: A new taxonomy for the bullwhip effect. International Journal of Production Economics, 104(2), 365-381.
Najmi, A & Makui, A. (2010). Providing hierarchical approach for measuring supply chain performance using AHP and DEMATEL methodologies. International Journal of Industrial Engineering Computations, 1(2), 199-212.
Opricovic, S., Tzeng, G.H. (2003). Defuzzification within a multicriteria decision model. International Journal of Uncertainty, Fuzziness and Knowledge-based Systems, 11, 635–652.
Sofiyabadi, J., movahedi, M & Nasab, S. (2012). Strategic orientation in evaluation of supply chain activities. Management Science Letters , 2(5), 1785-1794.
Zadeh, L.A. (1975). The concept of a linguistic variable and its application to approximate reasoning. Information Science, 8, 199-249.