- Khalid A. Fakeeh and PhD. 2017. Comprehending Unpredictable/Random Behaviour by Applying Environment Performance Indicators in a Real Milieu. International Journal of Applied Information Systems. 12, 1 (April 2017), 15-18. DOI=http://dx.doi.org/10.5120/ijais2017451568
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@article{10.5120/ijais2017451568, author = {Khalid A. Fakeeh and PhD}, title = {Comprehending Unpredictable/Random Behaviour by Applying Environment Performance Indicators in a Real Milieu}, journal = {International Journal of Applied Information Systems}, issue_date = {April 2017}, volume = {12}, number = {1}, month = {Apr}, year = {2017}, issn = {2249-0868}, pages = {15-18}, numpages = {4}, url = {http://j34.ijais.org/archives/volume12/number1/970-2017451568}, doi = {10.5120/ijais2017451568}, publisher = {Foundation of Computer Science (FCS), NY, USA}, address = {New York, USA} }
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%0 Journal Article %1 2017451568 %A Khalid A. Fakeeh %A PhD %T Comprehending Unpredictable/Random Behaviour by Applying Environment Performance Indicators in a Real Milieu %J International Journal of Applied Information Systems %@ 2249-0868 %V 12 %N 1 %P 15-18 %D 2017 %I Foundation of Computer Science (FCS), NY, USA
Abstract
The purpose of this study is to propose a study into understanding unpredictable behaviour by applying environment performance indicators in a real environment. From the literature review, it is evident that a simulation model should be created that consists of environmental variables. This study is useful to managers and IT staff of a business to see how they can improve business processes.
References
- Ackoff, R.L (1999). Re-Creating the Corporation: A Design of Organizations for the 21st Century. Oxford University Press.
- Adamides et al, (2006). A knowledge centred framework for collaborative business process modelling. Business Process Management Journal. 12 (5), p557 - 575.
- Aguilar-Savén, R.S. (2003). Business process modelling: Review and framework. International Journal of Production Economics. 90, p129-149.
- Box and Taio (1973) G.E.P. Box, G.C. Taio Bayesian Inference in Statistical Analysis, Addison-Wesley, Reading, MA (1973).
- Bryman, et al, 2011. Business Research Methods. 3rd edition. Oxford: Oxford University Press.
- Collis et al, (2003). Business Research. 2nd ed. Palgrave Macmillan.
- Dantes. (2006). Environmental Performance Indicators, EPI. Available: http://www.dantes.info/Tools&Methods/Environmentalinformation/enviro_info_spi_epi.htmlLast accessed 13th May 2016.
- Giddens A. The constitution of society: Outline of the theory of structuration. Cambridge: Polity Press; 1984.
- Kettinger et al, (1997), “Business process change: a study of methodologies, techniques and tools”, MIS Quarterly, Vol. 21, pp. 55-80.
- Kruger, D. J. (2003). Integrating quantitative and qualitative methods in community research. The Community Psychologist, 36, 18-19.
- Melão et al. A conceptual framework for understanding business processes and business process modelling. Information Systems Journal. 10 (2), p105-129.
- Neville, C. (2007). Introduction to Research and Research Methods. Available: http://www.pasadena.edu/files/syllabi/stvillanueva_37670.pdf. Last accessed 11th May 2016.
- O'Neill, R. (2006). Advantages and disadvantages of quantitative data analysis. Available: http://archive.learnhigher.ac.uk/analysethis/mobile/main/quantitative1.html. Last accessed 12th May 2016.
- Rajala et al, (1996). A framework for customer oriented business process modelling. Computer Integrated Manufacturing Systems. 9 (3), p127-135.
Index Terms
Computer Science
Embedded Systems