Developing adnamic-based maritime analytics dashboard using power business intelligence tools

8. References Bisogno, M., Nota, G., Saccomanno, A. and Tommasetti, A., 2015. Improving the efficiency of Port Community Systems through integrated information flows of logistic processes. International Journal of Digital Accounting Research, 15. Carlan, V., Sys, C. and Vanelslander, T., 2016. How port community systems can contribute to port competitiveness: Developing a cost–benefit framework. Research in transportation business & management, 19, pp.51-64. Carlan, V., Sys, C., Vanelslander, T. and Roumboutsos, A., 2017. Digital innovation in the port sector: Barriers and facilitators. Competition and regulation in network industries, 18(1-2), pp.71-93. Fernández, P., Santana, J., Ortega, S., Trujillo, A., Suárez, J., Domínguez, C., Santana, J. and Sánchez, A., 2016. SmartPort: a platform for sensor data monitoring in a seaport based on FIWARE. Sensors, 16(3), p.417. Fitton, O., Prince, D., Germond, B. and Lacy, M., 2015. The future of maritime cyber security. Glaves, H.M., 2019. Developing a common global framework for marine data management. In Oceanography and Coastal Informatics: Breakthroughs in Research and Practice (pp. 179-199). IGI Global. Heilig, L. and Voß, S., 2014, September. A cloud-based SOA for enhancing information exchange and decision support in ITT operations. In International Conference on Computational Logistics (pp. 112-131). Springer, Cham. Heilig, L. and Voß, S., 2017. Information systems in seaports: a categorization and overview. Information Technology and Management, 18(3), pp.179-201. 15 Heilig, L., Lalla-Ruiz, E. and Voß, S., 2017b. port-IO: an integrative mobile cloud platform for real-time inter-terminal truck routing optimization. Flexible Services and Manufacturing Journal, 29(3-4), pp.504-534. Heilig, L., Schwarze, S. and Voß, S., 2017a. An analysis of digital transformation in the history and future of modern ports. Hepworth, R. (2019). Use of Big Data in the Maritime Industry. [online] Patersonsimons.com. Available at: https://www.patersonsimons.com/wpcontent/uploads/2018/06/TMS_SmartPort_InsightBee_Report-toGUIDE_01.02.18.pdf [Accessed 15 Aug. 2019]. Hervás-Peralta, M., Poveda-Reyes, S., Molero, G.D., Santarremigia, F.E. and PastorFerrando, J.P., 2019. Improving the Performance of Dry and Maritime Ports by Increasing Knowledge about the Most Relevant Functionalities of the Terminal Operating System (TOS). Sustainability, 11(6), p.1648. Huynh, N., Smith, D. and Harder, F., 2016. Truck appointment systems: where we are and where to go from here. Transportation Research Record, 2548(1), pp.1-9. John, A., Yang, Z., Riahi, R. and Wang, J., 2018. A decision support system for the assessment of seaports’ security under fuzzy environment. In Modeling, Computing and Data Handling Methodologies for Maritime Transportation (pp. 145-177). Springer, Cham. Lambrou, M., 2016. Innovation capability, knowledge management and big data technology: a Maritime business case. International Journal of Advanced Corporate Learning (iJAC), 9(2), pp.40-44. Ohlhorst, F., 2012. Big data analytics: turning big data into big money (Vol. 65). John Wiley & Sons. Shi, X., Tao, D. and Voß, S., 2011. RFID technology and its application to port-based container logistics. Journal of Organizational Computing and Electronic Commerce, 21(4), pp.332-347. Steenken, D., Voß, S. and Stahlbock, R., 2004. Container terminal operation and operations research-a classification and literature review. OR spectrum, 26(1), pp.3- 49. Su, T., Lv, Z., Gao, S., Li, X. and Lv, H., 2014, July. 3d seabed: 3d modeling and visualization platform for the seabed. In 2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) (pp. 1-6). IEEE. Tesse, J., Schirmer, I., Saxe, S. and Baldauf, U., 2019, January. Supporting CrossOrganizational Assimilation of IoT Innovation Exemplified by the ChainPORT Initiative. In Proceedings of the 52nd Hawaii International Conference on System Sciences. Valada, A., Velagapudi, P., Kannan, B., Tomaszewski, C., Kantor, G. and Scerri, P., 2014. Development of a low cost multi-robot autonomous marine surface platform. In Field and service robotics (pp. 643-658). Springer, Berlin, Heidelberg. 16 Vouros, G.A., Doulkeridis, C., Santipantakis, G. and Vlachou, A., 2018. Taming big maritime data to support analytics. In Information Fusion and Intelligent Geographic Information Systems (IF&IGIS'17) (pp. 15-27). Springer, Cham. Wang, H., Osen, O.L., Li, G., Li, W., Dai, H.N. and Zeng, W., 2015, November. Big data and industrial internet of things for the maritime industry in northwestern norway. In TENCON 2015-2015 IEEE Region 10 Conference (pp. 1-5). IEEE. Williams, S., 2019. Use of STAMP/STPA to Model Organizational Risk and Safety Management at Cruise and Ferry Companies. In MATEC Web of Conferences (Vol. 273, p. 02004). EDP Sciences. Zhang, J., Ioannou, P.A. and Chassiakos, A., 2006. Automated container transport system between inland port and terminals. ACM Transactions on Modeling and Computer Simulation (TOMACS), 16(2), pp.95-118. Koga, S., 2015. Major challenges and solutions for utilizing big data in the maritime industry