INFORMATION CHANNELS EFFECTIVENESS ASSESSMENT ON THE BASIS OF DATA FROM STATISTICAL SURVEY
Abstract
The paper deals with the possibilities of using the data from statistical survey for information channels effectiveness assessment in the case when the same information is provided by more different information channels to different groups of people in the framework of one time period. The association between two categorical variables is analyzed. Values of the first variable represent information channels and values of second one represent different groups of people obtaining information through these information channels. The procedure of information channels effectiveness assessment for different groups of people is suggested. The proposed procedure is applied in information flows about academic ethics improvement at one Slovak university.
Full text: PDF
Keyword(s)
JEL Codes
References
Agresti, A., Finlay, B., 2014. Statistical Methods for the Social Sciences, Essex: Pearson.
Agresti, A., 2010. Analysis of Ordinal Categorical Data. Hoboken: Wiley and Sons.
Anderson, D. R., Sweeney, D. J., Williams, T. A., Freeman, J., Shoesmith, E., 2007. Statistics For Business And Economics. London: Thomson Learning.
Bauereiß, T., Hutter, D., 2014. Information Flow Control for Workflow Management Systems, In Heiko Mantel (ed.): IT - information technology volume 6/2014, pp 294-299, De Gruyter, Berlin, 12/2014.
Bhargav, D., Boddy, S., Koskela, L., 2010. Improving Information Flow within the Production Management System with Web Services. In IGLC 18 : 18th Annual Conference of the International Group for Lean Construction, 14-16th July 2010, Haifa, Israel. (Unpublished). Available at: http://eprints.hud.ac.uk/25931/.
Dagnelie, P., 1998. Statistique théorique et appliquée. Tome 2. Paris: de Boeck and Larcier s.a.
Demski, J.S., Lewis, T.R., Yao, D., Yldirim, H., 1999. Practices for Managing Information Flows Within Organizations. Journal of Law, Economics and Organization V15 N1.
Freund, J. E., 1992. Mathematical Statistics. Englewood Cliffs: Prentice – Hall.
Kročitý, P., 2015. Štatistické prieskumy ako informačný zdroj znalostného manažmentu v oblasti akademickej etiky. Dissertation Theses. School of Management in Trenčín/City University of Seattle.
Miller, I., Miller, M., 2004. John E. Freund` s Mathematical Statistics with Applications. Upper Saddle River: Pearson Prentice Hall.
Peng Li, Zdancewic, S. A., 2005: Practical Information-flow Control in Web-based Information Systems. In: Departmental Papers (CIS), Department of Computer and Information Sciences, University of Pennsylvania. Available at: http://repository.upenn.edu/cgi/viewcontent.cgi?article=1234&context=cis_papers.
Sharpe, N., De Veaux, R. D., Velleman, P., 2010. Business Statistics. Boston: Pearson.
Sousa, J., 2010. Using Emergent Information Flow Patterns of Organization Ecosystem for Information system Management. In: Enterprise Information System, International Conference CENTERIS 2010, Viana do Castelo, Portugal, October 2010, Proceedings, Part I.
Tošenovský, J., Noskievičová, D., 2000: Statistické metody pro zlepšování jakosti. Ostrava: Montanex.
Xiaohui Liu, Youwang Sun, 2011. Information Flow Management of Vendor- Managed Inventory System in Automobile Parts Inbound Logistics Based on Internet of Things. In: Journal of Software, Vol 6, No 7 1374-1380, Jul 2011, doi:10.4304/jsw.6.7.1374-1380.
Zeng, S.X., Lou, G.X., Vivian, W.Y. Tam (n. d.). Managing Information Flows for Quality Improvement in Construction (no date). Available at: http://www98.griffith.edu.au/dspace/bitstream/handle/10072/15082/46739.pdf?sequence=1.