Enabling multi-tier collaboration between supply chain dyads: a conceptual modelling framework

References

• Abbasi, M. 2008. “Perspectives of Complexity and Intelligence on Logistics and Supply Chain Management.” Master thesis, University of Borås. http://bada.hb.se/handle/2320/4027
   Google Scholar
• Adreit, F., P. Roggero, C. Sibertin-Blanc, and C. Vautier. 2009. “Using SocLab for a Rigorous Assessment of the Social Feasibility of Agricultural Policies.” International Journal of Agricultural and Environmental Information Systems 2 (2): 1–20. doi:10.4018/jaeis.2011070101.
   Google Scholar
• Aitken, J., C. Bozarth, and G. Wolfgang. 2016. “To Eliminate or Absorb Supply Chain Complexity: A Conceptual Model and Case Study.” Supply Chain Management: An International Journal 21 (6): 759–774. doi:10.1108/SCM-02-2016-0044.
   Web of Science ®Google Scholar
• Atkinson, G., and S. Mourato. 2006. Cost-Benefit Analysis and the Environment-Environment Working Paper No 97. France: Organisation for Economic Co-operation and Development.
   Google Scholar
• Axelrod, R. 1986. “An Evolutionary Approach to Norms.” American Political Science Review 80 (4): 1095–1111. doi:10.1017/S0003055400185016.
   Web of Science ®Google Scholar
• Baghalian, A., S. Rezapour, and R. Zanjirani Farahani. 2013. “Robust Supply Chain Network Design with Service Level against Disruptions and Demand Uncertainties: A Real-Life Case.” European Journal of Operational Research 227 (1): 199–215. doi:10.1016/j.ejor.2012.12.017.
   Web of Science ®Google Scholar
• Bevilacqua, M., F. E. Ciarapica, G. Marcucci, and G. Mazzuto. 2018. “Conceptual Model for Analysing Domino Effect among Concepts Affecting Supply Chain Resilience.” Supply Chain Forum: An International Journal 19 (4): 282–299. doi:10.1080/16258312.2018.1537504.
   Google Scholar
• Boccaletti, S., V. Latora, Y. Moreno, M. Chavez, and D.-U. Hwang. 2006. “Complex Networks: Structure and Dynamics.” Physics Reports 424 (4–5): 175–308. doi:10.1016/j.physrep.2005.10.009.
   Web of Science ®Google Scholar
• Brintrup, A. 2010. “Behaviour Adaptation in the Multi-Agent, Multi-Objective and Multi-Role Supply Chain.” Computers in Industry 61 (7): 636–645. doi:10.1016/j.compind.2010.03.010.
   Web of Science ®Google Scholar
• Caridi, M., L. Crippa, A. Perego, A. Sianesi, and A. Tumino. 2010. “Do Virtuality and Complexity Affect Supply Chain Visibility?.” International Journal of Production Economics 127 (2): 372–383. doi:10.1016/j.ijpe.2009.08.016.
   Web of Science ®Google Scholar
• Caridi, M., A. Moretto, A. Perego, and A. Tumino. 2014. “The Benefits of Supply Chain Visibility: A Value Assessment Model.” International Journal of Production Economics 151: 1–19. doi:10.1016/j.ijpe.2013.12.025.
   Web of Science ®Google Scholar
• Cavalieri, S., V. Cesarotti, and V. Introna. 2003. “A Multiagent Model for Coordinated Distribution Chain Planning.” Journal of Organizational Computing and Electronic Commerce 13 (3–4): 267–287.
   Web of Science ®Google Scholar
• Chin, T. A., H. H. Tat, and Z. Sulaiman. 2015. “Green Supply Chain Management, Environmental Collaboration and Sustainability Performance.” Procedia CIRP - 12th Global Conference on Sustainable Manufacturing 26: 695–699. doi:10.1016/j.procir.2014.07.035.
   Google Scholar
• Cialdini, R. B., and N. Garde. 1987. Influence (Vol. 3). Port Harcourt: A. Michel.
   Google Scholar
• Costas, J., B. Ponte, D. de la Fuente, R. Pino, and J. Puche. 2015. “Applying Goldratt’s Theory of Constraints to Reduce the Bullwhip Effect through Agent-Based Modeling.” Expert Systems with Applications 42 (4): 2049–2060. doi:10.1016/j.eswa.2014.10.022.
   Web of Science ®Google Scholar
• D’Amours, S., J. M. Frayret, A. Rousseau, S. Harvey, P. Plamondon, and P. Forget. 2006. “Agent-Based Supply Chain Planning in the Forest Products Industry.” In the International Conference on Information Technology For Balanced Manufacturing Systems, 17–26. Boston. Available at http://link.springer.com/chapter/10.1007/978-0-387-36594-7_3
   Google Scholar
• de la Fuente, M. V., L. Ros, and A. Ortiz. 2010. “Enterprise Modelling Methodology for Forward and Reverse Supply Chain Flows Integration.” Computers in Industry 61 (7): 702–710. doi:10.1016/j.compind.2010.05.010.
   Web of Science ®Google Scholar
• Diamantini, C., B. Knoke, and M. Missikoff. 2012. “Monitoring Innovation in Virtual Enterprises: An Agile Semantic Approach.” Proceedings of INVIT 2012: 51–58.
   Google Scholar
• Diezmann, C. M. 1999. “Assessing Diagram Quality: Making a Difference to Representation.” In 22nd Annual Conference of Mathematics Education Research Group of Australasia, 185–191. Adelaide. http://eprints.qut.edu.au/1502/
   Google Scholar
• Easton, G. 1992. “Industrial Networks: A Review.” Industrial Networks: A New View of Reality 1992: 1–27.
   Google Scholar
• Fahimnia, B., J. Armin, A. Ghavamifar, and M. Bell. 2017. “Supply Chain Design for Efficient and Effective Blood Supply in Disasters.” International Journal of Production Economics, SI: Flexible & Robust SCs 183 (January): 700–709. doi:10.1016/j.ijpe.2015.11.007.
   Google Scholar
• Faisal, M. N., D. K. Banwet, and R. Shankar. 2007. “Management of Risk in Supply Chains: SCOR Approach and Analytic Network Process.” Supply Chain Forum: An International Journal 8 (2): 66–79. doi:10.1080/16258312.2007.11517183.
   Google Scholar
• Forget, P., S. D’Amours, J. M. Frayret, and J. Gaudreault. 2009. “Study of the Performance of Multi-Behaviour Agents for Supply Chain Planning.” Computers in Industry 60 (9): 698–708. doi:10.1016/j.compind.2009.05.005.
   Web of Science ®Google Scholar
• Gemino, A., and Y. Wand. 2005. “Complexity and Clarity in Conceptual Modeling: Comparison of Mandatory and Optional Properties.” Data & Knowledge Engineering 55 (3): 301–326. doi:10.1016/j.datak.2004.12.009.
   Web of Science ®Google Scholar
• Goel, A. K., S. L. Gupta, S. Srinivasan, and B. K. Jha. 2011. “Integration of Supply Chain Management Using Multiagent System & Negotiation Model.” International Journal of Computer and Electrical Engineering 3 (3): 375. doi:10.7763/IJCEE.2011.V3.344.
   Google Scholar
• Grover, V., and K. A. Saeed. 2007. “The Impact of Product, Market, and Relationship Characteristics on Interorganizational System Integration in Manufacturer-supplier Dyads.” Journal of Management Information Systems 23 (4): 185–216. doi:10.2753/MIS0742-1222230409.
   Web of Science ®Google Scholar
• Guohua, C., X. Sun, H. Hu, and Y. Hu. 2015. “Research on Modeling and Algorithm of Supply Chain’s Reliability Based on CCFSM.” Journal of Coastal Research 73 (sp1): 99–103. doi:10.2112/SI73-018.1.
   Google Scholar
• Gupta, T. K., and V. Singh. 2015. “A Systematic Approach to Evaluate Supply Chain Management Environment Index Using Graph Theoretic Approach.” International Journal of Logistics Systems and Management 21 (1): 1–45. doi:10.1504/IJLSM.2015.069077.
   Google Scholar
• Harland, C., L. Knight, R. Lamming, and H. Walker. 2005. “Outsourcing: Assessing the Risks and Benefits for Organisations, Sectors and Nations.” International Journal of Operations & Production Management 25 (9): 831–850. doi:10.1108/01443570510613929.
   Web of Science ®Google Scholar
• Hasani, A., S. H. Zegordi, and E. Nikbakhsh. 2012. “Robust Closed-loop Supply Chain Network Design for Perishable Goods in Agile Manufacturing under Uncertainty.” International Journal of Production Research 50 (16): 4649–4669. doi:10.1080/00207543.2011.625051.
   Web of Science ®Google Scholar
• Hermann, A., H. Scholta, S. Bräuer, and J. Becker. 2017. “Collaborative Business Process Management-a Literature-based Analysis of Methods for Supporting Model Understandability.” In Proceedings of the 13th International Conference on Wirtschaftsinformatik (WI 2017), 286–300. St. Gallen, Switzerland. http://aisel.aisnet.org/wi2017/track03/paper/5/
   Google Scholar
• Hernández, J. E., M. M. E. Alemany, F. C. Lario, and R. Poler. 2009. “SCAMM-CPA: A Supply Chain Agent-based Modelling Methodology that Supports A Collaborative Planning Process.” Innovar 19 (34): 99–120.
   Google Scholar
• Hernández, J. E., J. Mula, R. Poler, and A. C. Lyons. 2014. “Collaborative Planning in Multi-tier Supply Chains Supported by a Negotiation-based Mechanism and Multi-agent System.” Group Decision and Negotiation 23 (2): 235–269. doi:10.1007/s10726-013-9358-2.
   Web of Science ®Google Scholar
• Hernández, J. E., R. Poler Escoto, J. Mula, and D. Peidro. 2008. “A Collaborative Knowledge Management Framework for Supply Chains: A UML-based Model Approach.” Journal of Industrial Engineering and Management 1 (2): 77–103. doi:10.3926/jiem.2008.v1n2.p77-103.
   Google Scholar
• Hernández, J. E., R. Poler, J. Mula, and F. C. Lario. 2011. “The Reverse Logistic Process of an Automobile Supply Chain Network Supported by a Collaborative Decision-making Model.” Group Decision and Negotiation 20 (1): 79–114. doi:10.1007/s10726-010-9205-7.
   Web of Science ®Google Scholar
• Hong, P., D. Dobrzykowski, Y. W. Park, D. Näslund, and H. Hulthen. 2012. “Supply Chain Management Integration: A Critical Analysis.” Benchmarking: an International Journal 19 (4/5): 481–501. doi:10.1108/14635771211257963.
   Google Scholar
• Hudnurkar, M., S. Jakhar, and U. Rathod. 2014. “Factors Affecting Collaboration in Supply Chain: A Literature Review.” Procedia-Social and Behavioral Sciences 133: 189–202. doi:10.1016/j.sbspro.2014.04.184.
   Google Scholar
• Huntley, J. K. 2006. “Conceptualization and Measurement of Relationship Quality: Linking Relationship Quality to Actual Sales and Recommendation Intention.” Industrial Marketing Management 35 (6): 703–714. doi:10.1016/j.indmarman.2005.05.011.
   Web of Science ®Google Scholar
• Ivanov, D. 2009. “DIMA—A Research Methodology for Comprehensive Multi-disciplinary Modeling of Production and Logistics Networks.” International Journal of Production Research 47 (5): 1153–1173. doi:10.1080/00207540701557205.
   Web of Science ®Google Scholar
• Jia, F., X. Wang, N. Mustafee, and L. Hao. 2016. “Investigating the Feasibility of Supply Chain-centric Business Models in 3D Chocolate Printing: A Simulation Study.” Technological Forecasting and Social Change 102: 202–213. doi:10.1016/j.techfore.2015.07.026.
   Web of Science ®Google Scholar
• Kaihara, T., S. Fujii, and K. Iwata. 2006. “Virtual Enterprise Coalition Strategy with Game Theoretic Multi-Agent Paradigm.” CIRP Annals - Manufacturing Technology 55 (1): 513–516. doi:10.1016/S0007-8506(07)60471-5.
   Web of Science ®Google Scholar
• Kaipia, R., and H. Hartiala. 2006. “Information-sharing in Supply Chains: Five Proposals on How to Proceed.” The International Journal of Logistics Management 17 (3): 377–393. doi:10.1108/09574090610717536.
   Google Scholar
• Kembro, J. 2015. “Information Sharing in Multi-Tier Supply Chains-Moving beyond the Dyads.” Doctoral dissertation, Lund University, Sweden.
   Google Scholar
• Kembro, J., and K. Selviaridis. 2015. “Exploring Information Sharing in the Extended Supply Chain: An Interdependence Perspective.” Supply Chain Management: An International Journal 20 (4): 455–470. doi:10.1108/SCM-07-2014-0252.
   Web of Science ®Google Scholar
• Kothandaraman, P., and D. T. Wilson. 2001. “The Future of Competition: Value-creating Networks.” Industrial Marketing Management 30 (4): 379–389. doi:10.1016/S0019-8501(00)00152-8.
   Web of Science ®Google Scholar
• Kożuch, B., and K. Sienkiewicz-Małyjurek. 2016. “Factors of Effective Inter-organizational Collaboration: A Framework for Public Management.” Transylvanian Review of Administrative Sciences 12 (47): 97–115. http://www.rtsa.ro/tras/index.php/tras/article/view/474.
   Google Scholar
• Krogstie, J. 2013. “Quality of Conceptual Data Models.” In: Proceedings 14th ICISO, Stockholm, Sweden.
   Google Scholar
• Kumar, G., R. N. Banerjee, P. L. Meena, and K. Ganguly. 2016. “Collaborative Culture and Relationship Strength Roles in Collaborative Relationships: A Supply Chain Perspective.” Journal of Business & Industrial Marketing 31 (5): 587–599. doi:10.1108/JBIM-12-2014-0254.
   Web of Science ®Google Scholar
• Kumar, G., and R. Nath Banerjee. 2014. “Supply Chain Collaboration Index: An Instrument to Measure the Depth of Collaboration.” Benchmarking: An International Journal 21 (2): 184–204. doi:10.1108/BIJ-02-2012-0008.
   Google Scholar
• Kwon, O., G. P. Im, and K. C. Lee. 2007. “MACE-SCM: A Multi-agent and Case-based Reasoning Collaboration Mechanism for Supply Chain Management under Supply and Demand Uncertainties.” Expert Systems with Applications 33 (3): 690–705. doi:10.1016/j.eswa.2006.06.015.
   Web of Science ®Google Scholar
• Lai, G., C. Li, and K. Sycara. 2006. “Efficient Multi-attribute Negotiation with Incomplete Information.” Group Decision and Negotiation 15 (5): 511–528. doi:10.1007/s10726-006-9041-y.
   Web of Science ®Google Scholar
• Langroodi, R. R. P., and M. Amiri. 2016. “A System Dynamics Modeling Approach for A Multi-level, Multi-product, Multi-region Supply Chain under Demand Uncertainty.” Expert Systems with Applications 51 (June): 231–244. doi:10.1016/j.eswa.2015.12.043.
   Google Scholar
• Lee, H. L., and S. Whang. 2000. “Information Sharing in a Supply Chain.” International Journal of Manufacturing Technology and Management 1 (1): 79–93. doi:10.1504/IJMTM.2000.001329.
   Google Scholar
• Li, X., and C. Chandra. 2007. “A Knowledge Integration Framework for Complex Network Management.” Industrial Management & Data Systems 107 (8): 1089–1109. doi:10.1108/02635570710822769.
   Web of Science ®Google Scholar
• Medina-González, S., M. Graells, G. Guillén-Gosálbez, A. Espuña, and L. Puigjaner. 2017. “Systematic Approach for the Design of Sustainable Supply Chains under Quality Uncertainty.” Energy Conversion and Management 149: 722–737. doi:10.1016/j.enconman.2017.02.060.
   Web of Science ®Google Scholar
• Mehmood, K., and S. S. S. Cherfi. 2009, November. “Evaluating the Functionality of Conceptual Models.” In International Conference on Conceptual Modeling, 222–231. Springer, Berlin, Heidelberg. doi:10.1007/978-3-642-04947-7_27.
   Google Scholar
• Min, H., and G. Zhou. 2002. “Supply Chain Modeling: Past, Present and Future.” Computers & Industrial Engineering 43 (1–2): 231–249. doi:10.1016/S0360-8352(02)00066-9.
   Web of Science ®Google Scholar
• Min, S., A. S. Roath, P. J. Daugherty, S. E. Genchev, H. Chen, A. D. Arndt, and R. Glenn Richey. 2005. “Supply Chain Collaboration: What’s Happening?” The International Journal of Logistics Management 16 (2): 237–256. doi:10.1108/09574090510634539.
   Google Scholar
• Mohammaditabar, D., S. H. Ghodsypour, and A. Hafezalkotob. 2016. “A Game Theoretic Analysis in Capacity-constrained Supplier-selection and Cooperation by considering the Total Supply Chain Inventory Costs.” International Journal of Production Economics 181: 87–97. doi:10.1016/j.ijpe.2015.11.016.
   Web of Science ®Google Scholar
• Montoya-Torres, J. R., and D. A. Ortiz-Vargas. 2014. “Collaboration and Information Sharing in Dyadic Supply Chains: A Literature Review over the Period 2000–2012.” Estudios Gerenciales 30 (133): 343–354. doi:10.1016/j.estger.2014.05.006.
   Google Scholar
• Naesens, K., L. Pintelon, and T. Taillieu. 2007. “A Framework for Implementing and Sustaining Trust in Horizontal Partnerships.” Supply Chain Forum: An International Journal 8 (1): 32–44. doi:10.1080/16258312.2007.11517174.
   Google Scholar
• Neaga, E. I., and J. A. Harding. 2005. “An Enterprise Modeling and Integration Framework Based on Knowledge Discovery and Data Mining.” International Journal of Production Research 43 (6): 1089–1108. doi:10.1080/00207540412331322939.
   Web of Science ®Google Scholar
• Nejma, M., F. Zair, A. Cherkaoui, and M. Fourka. 2019. “Advanced Supplier Selection: A Hybrid Multi-Agent Negotiation Protocol Supporting Supply Chain Dyadic Collaboration.” Decision Science Letters 8 (2): 175–192. doi:10.5267/j.dsl.2018.7.001.
   Google Scholar
• Nieva, T., and A. Wegmann. 2001. A Role-Based Use Case Model for Remote Data Acquisition Systems. Switzerland: Swiss Federal Institute of Technology Scientific Publications. Available at http://infoscience.epfl.ch/record/336
   Google Scholar
• Paulraj, A., I. J. Chen, and C. Blome. 2017. “Motives and Performance Outcomes of Sustainable Supply Chain Management Practices: A Multi-theoretical Perspective.” Journal of Business Ethics 145 (2): 239–258. doi:10.1007/s10551-015-2857-0.
   Web of Science ®Google Scholar
• Petersen, K. J., R. B. Handfield, and G. L. Ragatz. 2005. “Supplier Integration into New Product Development: Coordinating Product, Process and Supply Chain Design.” Journal of Operations Management 23 (3–4): 371–388. doi:10.1016/j.jom.2004.07.009.
   Web of Science ®Google Scholar
• Puche, J., B. Ponte, J. Costas, R. Pino, and D. De la Fuente. 2016. “Systemic Approach to Supply Chain Management through the Viable System Model and the Theory of Constraints.” Production Planning & Control 27 (5): 421–430. doi:10.1080/09537287.2015.1132349.
   Web of Science ®Google Scholar
• Ramanathan, U. 2014. “Performance of Supply Chain collaboration–A Simulation Study.” Expert Systems with Applications 41 (1): 210–220. doi:10.1016/j.eswa.2013.07.022.
   Web of Science ®Google Scholar
• Robinson, R. 1993. “Cost-Benefit Analysis.” BMJ 307 (6909): 924–926. doi:10.1136/bmj.307.6909.924.
   PubMed Web of Science ®Google Scholar
• Ronchi, S., D. Luzzini, and G. Spina. 2007. “Supply Chain Coordination: The Problem of Risk and Benefit Sharing.” Supply Chain Forum: An International Journal 8 (2): 54–65. doi:10.1080/16258312.2007.11517182.
   Google Scholar
• Sadeh, N. M., D. W. Hildum, D. Kjenstad, and A. Tseng. 1999. “Mascot: An Agent-based Architecture for Coordinated Mixed-initiative Supply Chain Planning and Scheduling.” In Proceedings of the Agents’99 Workshop: “Agent-Based Decision Support for Managing the Internet-Enabled Supply-Chain”, 133–138. Seattle, WA: ACM Press.
   Google Scholar
• Salam, M. A. 2008. “An Empirical Investigation of the Determinants of Adoption of Green Procurement for Successful Green Supply Chain Management.” In Proceedings of the 4th IEEE International Conference on Management of Innovation and Technology, 1038–1043. Bangkok.
   Google Scholar
• Samaddar, S., S. Nargundkar, and M. Daley. 2006. “Inter-organizational Information Sharing: The Role of Supply Network Configuration and Partner Goal Congruence.” European Journal of Operational Research 174 (2): 744–765. doi:10.1016/j.ejor.2005.01.059.
   Web of Science ®Google Scholar
• Seidman, S. B. 1983. “Network Structure and Minimum Degree.” Social Networks 5 (3): 269–287. doi:10.1016/0378-8733(83)90028-X.
   Web of Science ®Google Scholar
• Sengupta, K., D. R. Heiser, and L. S. Cook. 2006. “Manufacturing and Service Supply Chain Performance: A Comparative Analysis.” Journal of Supply Chain Management 42 (4): 4–15. doi:10.1111/j.1745-493X.2006.00018.x.
   Google Scholar
• Sherman, R. J. 1998. “Collaborative Planning, Forecasting & Replenishment (CPFR): Realizing the Promise of Efficient Consumer Response through Collaborative Technology.” Journal of Marketing Theory and Practice 6 (4): 6–9. doi:10.1080/10696679.1998.11501806.
   Google Scholar
• Simatupang, T. M., and R. Sridharan. 2008. “Design for Supply Chain Collaboration.” Business Process Management Journal 14 (3): 401–418. doi:10.1108/14637150810876698.
   Google Scholar
• Singh, A., and J. T. Teng. 2016. “Enhancing Supply Chain Outcomes through Information Technology and Trust.” Computers in Human Behavior 54: 290–300. doi:10.1016/j.chb.2015.07.051.
   Web of Science ®Google Scholar
• Singh, H., R. K. Garg, and A. Sachdeva. 2018. “Framework to Precede Collaboration in Supply Chain.” Benchmarking: An International Journal 25 (8): 2635–2659. doi:10.1108/BIJ-04-2017-0061.
   Web of Science ®Google Scholar
• Singhry, H. B., A. Abd Rahman, and N. G. Siew Imm. 2015. “Measurement for Supply Chain Collaboration and Supply Chain Performance of Manufacturing Companies.” International Journal of Economics & Management 9 (spec. Dec.): 1–22. http://psasir.upm.edu.my/41749/.
   Google Scholar
• Soni, U., V. Jain, and S. Kumar. 2014. “Measuring Supply Chain Resilience Using a Deterministic Modeling Approach.” Computers & Industrial Engineering 74 (August): 11–25. doi:10.1016/j.cie.2014.04.019.
   Google Scholar
• Soosay, C. A., and P. Hyland. 2015. “A Decade of Supply Chain Collaboration and Directions for Future Research.” Supply Chain Management: An International Journal 20 (6): 613–630. doi:10.1108/SCM-06-2015-0217.
   Web of Science ®Google Scholar
• Stadtler, H. 2005. Supply Chain Management and Advanced Planning: Concepts, Models, Software and Case Studies. [u.a.]. Berlin, Heidelberg: Springer.
   Google Scholar
• Stank, T. P., S. B. Keller, and P. J. Daugherty. 2001. “Supply Chain Collaboration and Logistical Service Performance.” Journal of Business Logistics 22 (1): 29–48. doi:10.1002/j.2158-1592.2001.tb00158.x.
   Google Scholar
• Thakkar, J. J., A. Kanda, and S. G. Deshmukh. 2011. “A Decision Framework for Supply Chain Planning in SMEs: A QFD-ISM-enabled ANP-GP Approach.” Supply Chain Forum: An International Journal 12 (4): 62–75. doi:10.1080/16258312.2011.11517281.
   Google Scholar
• Tulloch, A. I., V. J. Tulloch, M. C. Evans, and M. Mills. 2014. “The Value of Using Feasibility Models in Systematic Conservation Planning to Predict Landholder Management Uptake.” Conservation Biology 28 (6): 1462–1473. doi:10.1111/cobi.12403.
   PubMed Web of Science ®Google Scholar
• Venkatesh, V. G., S. Rathi, and S. Patwa. 2015. “Analysis on Supply Chain Risks in Indian Apparel Retail Chains and Proposal of Risk Prioritization Model Using Interpretive Structural Modeling.” Journal of Retailing and Consumer Services 26 (September): 153–167. doi:10.1016/j.jretconser.2015.06.001.
   Google Scholar
• Wand, Y., and R. Weber. 2002. “Research Commentary: Information Systems and Conceptual Modeling—A Research Agenda.” Information Systems Research 13 (4): 363–376. http://pubsonline.informs.org/doi/abs/10.1287/isre.13.4.363.69.
   Web of Science ®Google Scholar
• Wheeler, M. 2010. “The Problem of Representation.” In Handbook of Phenomenology and Cognitive Science. Schmicking, D. and Gallagher, S. (Eds). 318–336. Dordrecht: Springer. doi:10.1007/978-90-481-2646-0_18.
   Google Scholar
• Whipple, J. M., and D. Russell. 2007. “Building Supply Chain Collaboration: A Typology of Collaborative Approaches.” The International Journal of Logistics Management 18 (2): 174–196. doi:10.1108/09574090710816922.
   Google Scholar
• Wlendahl, H. P., G. von Cleminskf, and C. Begemann. 2003. “A Systematic Approach for Ensuring the Logistic Process Reliability of Supply Chains.” CIRP Annals 52 (1): 375–380. doi:10.1016/S0007-8506(07)60605-2.
   Web of Science ®Google Scholar
• Wong, C. W., K. H. Lai, and E. W. Bernroider. 2015. “The Performance of Contingencies of Supply Chain Information Integration: The Roles of Product and Market Complexity.” International Journal of Production Economics 165: 1–11. doi:10.1016/j.ijpe.2015.03.005.
   Web of Science ®Google Scholar
• Yadav, D. K., and A. Barve. 2015. “Analysis of Critical Success Factors of Humanitarian Supply Chain: An Application of Interpretive Structural Modeling.” International Journal of Disaster Risk Reduction 12: 213–225. doi:10.1016/j.ijdrr.2015.01.008.
   Web of Science ®Google Scholar
• Yanamandra, R. 2018. “Development of an Integrated Healthcare Supply Chain Model.” Supply Chain Forum: An International Journal 19 (2): 111–121. doi:10.1080/16258312.2018.1475823.
   Google Scholar
• Y. Chen, Y. Peng, T. Finin, Y. Labrou, S. Cost, B. Chu, R. Sun, and R. Willhelm. 1999. “A Negotiation-Based Multi-Agent System for Supply Chain Management.” Working Notes of the Agents, 99. http://www.csee.umbc.edu/~finin/papers/papers/agents99-supply-chain.pdf
   Google Scholar
• Yusuf, Y. Y., A. Gunasekaran, E. O. Adeleye, and K. Sivayoganathan. 2004. “Agile Supply Chain Capabilities: Determinants of Competitive Objectives.” European Journal of Operational Research 159 (2): 379–392. doi:10.1016/j.ejor.2003.08.022.
   Web of Science ®Google Scholar
• Zair, F., N. Sefiani, and M. Fourka. 2018. “Advanced Optimization Model of Resource Allocation in B2C Supply Chain.” Engineering Review 38 (3): 328–337. doi:10.30765/er.38.3.10.
   Web of Science ®Google Scholar