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Causal modeling alternatives in operations research: Overview and application

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  • Anderson, Ronald D.
  • Vastag, Gyula

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  • Anderson, Ronald D. & Vastag, Gyula, 2004. "Causal modeling alternatives in operations research: Overview and application," European Journal of Operational Research, Elsevier, vol. 156(1), pages 92-109, July.
    • Handle: RePEc:eee:ejores:v:156:y:2004:i:1:p:92-109
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    1. Vastag, Gyula & Whybark, D. Clay, 1993. "Global relations between inventory, manufacturing lead time and delivery date promises," International Journal of Production Economics, Elsevier, vol. 30(1), pages 563-569, July.
    2. K. Jöreskog, 1971. "Statistical analysis of sets of congeneric tests," Psychometrika, Springer;The Psychometric Society, vol. 36(2), pages 109-133, June.
    3. Ross D. Shachter, 1986. "Evaluating Influence Diagrams," Operations Research, INFORMS, vol. 34(6), pages 871-882, December.
    4. Vastag, Gyula & Montabon, Frank, 2001. "Linkages among manufacturing concepts, inventories, delivery service and competitiveness," International Journal of Production Economics, Elsevier, vol. 71(1-3), pages 195-204, May.
    5. P. M. Bentler & Chih-Ping Chou, 1987. "Practical Issues in Structural Modeling," Sociological Methods & Research, , vol. 16(1), pages 78-117, August.
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    9. Gupta, Sumeet & Kim, Hee W., 2008. "Linking structural equation modeling to Bayesian networks: Decision support for customer retention in virtual communities," European Journal of Operational Research, Elsevier, vol. 190(3), pages 818-833, November.
    10. Ülengin, Füsun & Önsel, Şule & Aktas, Emel & Kabak, Özgür & Özaydın, Özay, 2014. "A decision support methodology to enhance the competitiveness of the Turkish automotive industry," European Journal of Operational Research, Elsevier, vol. 234(3), pages 789-801.
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    12. Kamble, Sachin S. & Gunasekaran, Angappa & Kumar, Vikas & Belhadi, Amine & Foropon, Cyril, 2021. "A machine learning based approach for predicting blockchain adoption in supply Chain," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    13. Wu, Wei-Wen & Lan, Lawrence W. & Lee, Yu-Ting, 2012. "Exploring the critical pillars and causal relations within the NRI: An innovative approach," European Journal of Operational Research, Elsevier, vol. 218(1), pages 230-238.
    14. Thitinan Pholsook & Warit Wipulanusat & Poomporn Thamsatitdej & Sarawut Ramjan & Jirapon Sunkpho & Vatanavongs Ratanavaraha, 2023. "A Three-Stage Hybrid SEM-BN-ANN Approach for Analyzing Airport Service Quality," Sustainability, MDPI, vol. 15(11), pages 1-20, May.
    15. Fukuyama, Hirofumi & Tsionas, Mike & Tan, Yong, 2023. "Dynamic network data envelopment analysis with a sequential structure and behavioural-causal analysis: Application to the Chinese banking industry," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1360-1373.
    16. Chen, Zhen-Yu & Fan, Zhi-Ping & Sun, Minghe, 2019. "Individual-level social influence identification in social media: A learning-simulation coordinated method," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1005-1015.
    17. Joseph W. Zabinski & Kelsey J. Pieper & Jacqueline MacDonald Gibson, 2018. "A Bayesian Belief Network Model Assessing the Risk to Wastewater Workers of Contracting Ebola Virus Disease During an Outbreak," Risk Analysis, John Wiley & Sons, vol. 38(2), pages 376-391, February.
    18. Tsionas, Mike G., 2022. "Convex non-parametric least squares, causal structures and productivity," European Journal of Operational Research, Elsevier, vol. 303(1), pages 370-387.
    19. Yang, Jian & Bessler, David A., 2008. "Contagion around the October 1987 stock market crash," European Journal of Operational Research, Elsevier, vol. 184(1), pages 291-310, January.
    20. Thomas Dufhues & Gertrud Buchenrieder & Zhanli Sun, 0. "Exploring Policy Options in Regulating Rural–Urban Migration with a Bayesian Network: A Case Study in Kazakhstan," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 0, pages 1-25.
    21. Lauria, Eitel J.M. & Duchessi, Peter J., 2007. "A methodology for developing Bayesian networks: An application to information technology (IT) implementation," European Journal of Operational Research, Elsevier, vol. 179(1), pages 234-252, May.

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