Abstract
Retail management systems have been deployed extensively as web applications and stand-alone systems. However, in order to maximize return on investment while also improving on retail business efficiency and performance, it is imperative to explore newer technologies that can be leveraged. Cloud computing shows great potential in this regard; and so it is our aim in this paper to develop a cloud-based retail management system. We realize this by first designing the framework of the system and then implementing it.
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References
Bajaj, C., Srivastava, N.V., Tuli, R.: Retail management, vol. 8. Oxford University Press (2005)
Stevenson, W.J., Hojati, M.: Operations management, vol. McGraw-Hill/Irwin, Boston (2007)
Andersen, R.: The rhetoric of enterprise content management (ECM): Confronting the assumptions driving ECM adoption and transforming technical communication. Technical Communication Quarterly 17, 61–87 (2007)
Power, D.: Supply chain management integration and implementation: a literature review. Supply Chain Management 10, 252–263 (2005)
Carr, N.G.: IT doesn’t matter. Educause Review 38, 24–38 (2003)
Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., Ghalsasi, A.: Cloud computing—The business perspective. Decision Support Systems 51, 176–189 (2011)
Rosenthal, A., Mork, P., Li, M.H., Stanford, J., Koester, D., Reynolds, P.: Cloud computing: a new business paradigm for biomedical information sharing. Journal of Biomedical Informatics 43, 342–353 (2010)
Sotomayor, B., Montero, R.S., Llorente, R.M., Foster, I.: Virtual infrastructure management in private and hybrid clouds. IEEE Internet Computing 13, 14–22 (2009)
Moessner, K., Le Gall, F., Cousin, P.: Internet of Things Strategic Research and Innovation Agenda. Internet of Things: Converging Technologies for Smart Environments and Integrated Ecosystems 7 (2013)
Zhang, Z., Lee, M.K., Huang, P., Zhang, L., Huang, X.: A framework of ERP systems implementation success in China: An empirical study. International Journal of Production Economics 98, 56–80 (2005)
Microsoft Dynamics, R.M.S., Microsoft Dynamics, R.M.S.: Overview (Date accessed: July 29th 2014) http://www.microsoft.com/en-us/dynamics/rms-overview.aspx
LightSpeed, Light Speed Retail (Date accessed: July 29th 2014) http://www.lightspeedretail.com
Epicor, Epicor Cloud Retail Software (Date accessed: July 29th 2014) http://www.epicor.com/Cloud/Pages/Cloud-Retail.aspx
Hill, Z., Li, J., Mao, M., Ruiz-Alvarez, A., Humphrey, M.: Early observations on the performance of Windows Azure. In: 19th ACM International Symposium on High Performance Distributed Computing, pp. 367–376 (2010)
Windows Azure, Microsft Cloud Platform (Date accessed: July 29th 2014), https://azure.microsoft.com/en-us/
Buyya, R., Yeo, C., Venugopal, S., Broberg, J., Brandic, I.: Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility. Future Generation Computer Systems 25, 599–616 (2009)
Google App Engine, Google App Engine: Platform as a Service (Date accessed: July 29th 2014), https://developers.google.com/appengine/
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© 2015 Springer-Verlag Berlin Heidelberg
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Adewumi, A., Ogbuchi, S., Misra, S. (2015). A Cloud-Based Retail Management System. In: Intan, R., Chi, CH., Palit, H., Santoso, L. (eds) Intelligence in the Era of Big Data. ICSIIT 2015. Communications in Computer and Information Science, vol 516. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46742-8_41
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DOI: https://doi.org/10.1007/978-3-662-46742-8_41
Publisher Name: Springer, Berlin, Heidelberg
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