Optimizing management of emergency gas leaks: a case study in business analytics

References

• Albright, S. C., & Winston, W. (2017). Business analytics: Data analysis and decision making (6th ed.). Boston, MA: Cengage Learning.
   Google Scholar
• Bayrak, T. (2015). A review of business analytics: A business enabler or another passing fad. Procedia - Social and Behavioural Sciences, 195, 230–239.
   Google Scholar
• Billari, F., Fent, T., Prskawetz, A., & Scheffman, J. (2006). Agent-based computational modelling. Heidelberg: Physica-Verlag.
   Google Scholar
• Cao, G., Duan, Y., & Li, G. (2015). Linking business analytics to decision making effectiveness: A path model analysis. IEEE Transactions on Engineering Management, 62(3), 384–395.
   Web of Science ®Google Scholar
• Cooper, A. (2012). What is analytics? Definition and essential characteristics. CETIS Analytics Series, 1(5), 1–10.
   Google Scholar
• Deka, G. C. (2014). Big data predictive and prescriptive analytics. In P. Raj & G.C. Deka (Eds.), Handbook on cloud infrastructures for big data analytics (pp. 370–391). Hershey, PA: IGI Global.
   Google Scholar
• Delen, D., & Ram, S. (2018). Research challenges and opportunities in business analytics. Journal of Business Analytics, 1(1), 2–12.
   Google Scholar
• Delen, D., & Zolbanin, H. M. (2018). The analytics paradigm in business research. Journal of Business Research, 90, 186–195.
   Web of Science ®Google Scholar
• Evans, J. R., & Lindner, C. H. (2012). Business analytics: The next frontier for decision sciences. Decision Line, 43(2), 4–6.
   Google Scholar
• Gandomi, A., & Haider, M. (2015). Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management, 35, 137–144.
   Web of Science ®Google Scholar
• Hamada, C. A., & Hamada, M. S. (2012). Illustrating the practice of statistics as a stepping stone to statistical engineering. Quality Engineering, 24(2), 184–192.
   Web of Science ®Google Scholar
• Hare, L. B. (2012). Statistical engineering: Principles and examples. Quality Engineering, 24, 153–161.
   Web of Science ®Google Scholar
• Hoerl, R., & Snee, R. (2012). Statistical thinking: Improving business performance. Hoboken, NJ: J. Wiley & Sons, Inc.
   Google Scholar
• Holsapple, C., Lee-Post, A., & Pakath, R. (2014). A unified foundation for business analytics. Decision Support Systems, 64, 130–141.
   Web of Science ®Google Scholar
• Kohavi, R., Rothleder, N. J., & Simoudis, E. (2002). Emerging trends in business analytics. Communications of the ACM, 45(8), 45–48.
   Web of Science ®Google Scholar
• Laursen, G. H., & Thorlund, J. (2016). Business analytics for managers: Taking business intelligence beyond reporting. Hoboken, NJ: John Wiley & Sons.
   Google Scholar
• Levasseur, R. E. (2013). People skills: Developing soft skills – A change management perspective. Interfaces, 43(6), 566–571.
   Web of Science ®Google Scholar
• Liberatore, M. J., & Luo, W. (2010). The analytics movement: Implications for operations research. Interfaces, 40(4), 313–324.
   Web of Science ®Google Scholar
• Lustig, I., Dietrich, B., Johnson, C., & Dziekan, C. (2010). The analytics journey. Analytics Magazine, 3(6), 11–13.
   Google Scholar
• Railsback, S., & Grimm, V. (2012). Agent-based and individual-based modeling. Princeton, NJ: Princeton University Press.
   Google Scholar
• Rosenhead, J. (1996). What’s the problem? An introduction to problem solving methods. Interfaces, 26(6), 117–131.
   Web of Science ®Google Scholar
• Schniederjans, M. J., Schniederjans, D. G., & Starkey, C. M. (2014). Business analytics principles, concepts, and applications. What, why and how. Upper Saddle River, NJ: Pearson Education, Inc.
   Google Scholar
• Shmueli, G., & Koppius, O. R. (2011). Predictive analytics in information systems research. MIS Quarterly, 35(3), 553–572.
   Web of Science ®Google Scholar
• Strome, T. L. (2013). Healthcare analytics for quality and performance improvement. Hoboken, NJ: John Wiley & Sons. Inc.
   Google Scholar
• Tesfatsion, L., & Judd, K. (Eds). (2006). Handbook of computational economics (Vol. 2): Agent-based computational economics. Amsterdam: North Holland/Elsevier.
   Google Scholar
• Trkman, P., McCormack, K., Valadares de Oliveira, M. P., & Ladeira, M. B. (2010). The impact of business analytics on supply chain management. Decision Support Systems, 49(3), 318–327.
   Web of Science ®Google Scholar
• Van Barneveld, A., Arnold, K. E., & Campbell, J. P. (2012). Analytics in higher education: Establishing a common language. EDUCAUSE Learning Initiative, 1(1), l–ll.
   Google Scholar
• Vergidis, K., Tiwari, A., & Majeed, B. (2008). Business process analysis and optimization: Beyond reengineering. IEEE Transactions on Systems, Man, and Cybernetics – Part C: Applications and Reviews, 38(1), 69–82.
   Web of Science ®Google Scholar
• Vorhies, B. (2014). Prescriptive versus predictive analytics - A distinction without a difference? Data Science General Retrieved from www.datasciencecentral.com/profiles/blogs/prescriptive-versus-predictive-analytics-a-distinction-without-a
   Google Scholar
• Wilensky, U., & Rand, W. (2015). An introduction to agent-based modeling: Modeling natural, social, and engineered complex systems with NetLogo. Cambridge, MA: MIT Press.
   Google Scholar
• Zur Muehlen, M., & Shapiro, R. (2009). Business process analytics. In M. Rosemann & J. Vom Brocke (Eds.), Handbook on business process management (Vol. 2, pp. pp 137–157). Berlin: Springer-Verlag.
   Google Scholar