[1]
|
Shina, S.J., Woo, J. and Rachuria, S. (2014) Predictive Analytics Model for Power Consumption in Manufacturing. Procedia CIRP, 15, 153-158. http://dx.doi.org/10.1016/j.procir.2014.06.036
|
[2]
|
Hazen, B.T., Boone, C.A., Ezell, J.D. and Jones-Farmer, L.A. (2014) Data Quality for Data Science, Predictive Analytics, and Big Data in Supply Chain Management: An Introduction to the Problem and Suggestions for Research and Applications. International Journal of Production Economics, 154, 72-80.
|
[3]
|
Edwards, M., Rambani, A., Zhu, Y. and Musavi, M. (2012) Design of Hadoop-Based Framework for Analytics of Large Synchrophasor Datasets. Procedia Computer Science, 12, 254-258. http://dx.doi.org/10.1016/j.procs.2012.09.065
|
[4]
|
Sahebjamnia, N., Torabi, S.A. and Mansouri, S.A. (2015) Integrated Business Continuity and Disaster Recovery Planning: Towards Organizational Resilience. European Journal of Operational Research, 242, 261-273. http://dx.doi.org/10.1016/j.ejor.2014.09.055
|
[5]
|
Sengupta, S. and Annervaz, K.M. (2014) Multi-Site Data Distribution for Disaster Recovery—A Planning Framework. Future Generation Computer Systems, 41, 53-64. http://dx.doi.org/10.1016/j.future.2014.07.007
|
[6]
|
Yu, S., Kim, S., Oh, C.W. and Kim, H.A. (2015) Quantitative Assessment of Disaster Resilience: An Empirical Study on the Importance of Post-Disaster Recovery Costs. Reliability Engineering & System Safety, 137, 6-17. http://dx.doi.org/10.1016/j.ress.2014.12.007
|
[7]
|
Lai, A., Leoni, G. and Stacchezzini, R. (2014) The Socializing Effects of Accounting in Flood Recovery. Critical Perspectives on Accounting, 25, 579-603. http://dx.doi.org/10.1016/j.cpa.2014.04.002
|
[8]
|
Gaddis, E.B., Miles, B., Morse, S. and Lewis, D. (2007) Full-Cost Accounting of Coastal Disasters in the United States: Implications for Planning and Preparedness. Ecological Economics, 63, 307-318. http://dx.doi.org/10.1016/j.ecolecon.2007.01.015
|
[9]
|
Walker, S.P. (2014) Drought, Resettlement and Accounting. Critical Perspectives on Accounting, 25, 604-619. http://dx.doi.org/10.1016/j.cpa.2013.06.005
|
[10]
|
Asgary, A., Imtiaz Anjum, M. and Azimi, N. (2012) Disaster Recovery and Business Continuity after the 2010 Flood in Pakistan: Case of Small Businesses. International Journal of Disaster Risk Reduction, 2, 46-56. http://dx.doi.org/10.1016/j.ijdrr.2012.08.001
|
[11]
|
Sargiacomo, M., Ianni, L. and Everett, J. (2014) Accounting for Suffering: Calculative Practices in the Field of Disaster Relief. Critical Perspectives on Accounting, 25, 652-669. http://dx.doi.org/10.1016/j.cpa.2014.03.011
|
[12]
|
Sword-Daniels, V.L., Twigg, J. and Loughlin, S.C. (2015) Time for Change? Applying an Inductive Timeline Tool for a Retrospective Study of Disaster Recovery in Montserrat, West Indies Original. International Journal of Disaster Risk Reduction, 12, 125-133. http://dx.doi.org/10.1016/j.ijdrr.2014.12.006
|
[13]
|
Silver, A. and Grek-Martin, J. (2015) Now We Understand What Community Really Means: Reconceptualizing the Role of Sense of Place in the Disaster Recovery Process. Journal of Environmental Psychology, 42, 32-41. http://dx.doi.org/10.1016/j.jenvp.2015.01.004
|
[14]
|
Cheng, J.W., Mitomo, H., Otsuka, T. and Jeon, S.Y. (2015) The Effects of ICT and Mass Media in Post-Disaster Recovery—A Two Model Case Study of the Great East Japan Earthquake. Telecommuni-cations Policy, 39, 512-535.
|
[15]
|
Ross, J.W., Beath, C.M. and Goodhue, D. (1996) Develop Long-Term Competitiveness through IT Assets. Sloan Management Review, 38, 31-45.
|
[16]
|
Kadan, O., Madureira, L., Wang, R. and Zach, T. (2012) Analysts’ Industry Expertise. Journal of Accounting and Economics, 54, 95-120.
|
[17]
|
Bradshaw, M.T. (2012) Discussion of “Analysts Industry Expertise”. Journal of Accounting and Economics, 54, 121-131. http://dx.doi.org/10.1016/j.jacceco.2012.09.003
|
[18]
|
Lehouxa, G., Daudelin, B., Williams-Jones, J.L., Denis, L. and Longo, C. (2014) How Do Business Model and Health Technology Design Influence Each Other? Insights from a Longitudinal Case Study of Three Academic Spin-Offs. Research Policy, 43, 1025-1038. http://dx.doi.org/10.1016/j.respol.2014.02.001
|
[19]
|
Dinu, F. and Ng, T.S. (2014) Failure Resilience for Big Data Analytics. Rice University, Technical Report TR13-04.
|