External Environment Scanning Using Cognitive Agents
Very significant process in business organization is an external environment scanning. It is very important for decision makers to have an understanding of the competitive position of the company. Actual and reliable information is particularly important for corporate executives and helps decision makers make quick decisions in response to competitors’ actions. This knowledge will help in increasing efficiency and effectiveness of company functioning.
The aim of this paper is to develop a method for external environment scanning by using cognitive agents. The research has been performed on the example of hotel industry.
The first part of article presents the state on the art in the field. Next the problem of external environment scanning in hotel industry is presented. The method for environment scanning by using cognitive agent and the research experiment, are presented at the last part of the paper.
KeywordsEnvironment scanning Cognitive agents Decision making Sentiment analysis
This research was financially supported by the National Science Center (Decision No. DEC-2013/11/D/HS4/04096).
- 1.Hitt, M., Ireland, D., Hoskinsson, R.: Strategic Management: Competitiveness and Globalization. Thomson South-Western (2007)Google Scholar
- 2.Indris, S., Primiana, I.: Internal and external environment analysis on the performance of small and medium industries (Smes) in Indonesia. Int. J. Sci. Technol. Res. 4(4), 188–196 (2015)Google Scholar
- 3.http://www.businessdictionary.com/definition/external-environment.html. Accessed 11 Apr 2017
- 4.Voiculet, A., Belu, N., Parpandel, D., Rizea, I.: The impact of external environment on organizational development strategy. MPRA Paper No. 26303, posted 3 (2010)Google Scholar
- 5.Wheelen, T., Hunger, D.: Strategic Management and Business Policy Concepts and Cases, 11th edn. Prentice Hall International USA, Upper Saddle River (2012)Google Scholar
- 7.Wawer, A.: Mining opinion attributes from texts using multiple kernel learning. In: IEEE 11th International Conference on Data Mining Workshops (2011)Google Scholar
- 8.Pham, L.V., Pham, S.B.: Information extraction for Vietnamese real estate advertisements. In: Fourth International Conference on Knowledge and Systems Engineering (KSE), Danang (2012)Google Scholar
- 9.Zhang, C., Zhang, X., Jiang, W., Shen, Q., Zhang, S.: Rule-based extraction of spatial relations in natural language text. In: International Conference on Computational Intelligence and Software Engineering (2009)Google Scholar
- 10.Franklin, S., Patterson, F.G.: The LIDA architecture: adding new modes of learning to an intelligent, autonomous, software agent. In: Proceedings of the International Conference on Integrated Design and Process Technology. Society for Design and Process Science, San Diego (2006)Google Scholar
- 11.Cheng, D.: Analyze the hotel industry in porter five competitive forces. J. Glob. Bus. Manag. 9(3), 52–57 (2013)Google Scholar
- 12.Korte, D., Ariyachandra, T., Frolick, M.: Business intelligence in the hospitality industry. Int. J. Innov. Manag. Technol. 4(4), 429–434 (2013)Google Scholar
- 14.Bytniewski, A., Chojnacka-Komorowska, A., Hernes, M., Matouk, K.: The implementation of the perceptual memory of cognitive agents in integrated management information system. In: Barbucha, D., Nguyen, N.T., Batubara, J. (eds.) New Trends in Intelligent Information and Database Systems. SCI, vol. 598, pp. 281–290. Springer, Berlin (2015). doi: 10.1007/978-3-319-16211-9_29CrossRefGoogle Scholar
- 15.Hernes, M.: Performance evaluation of the customer relationship management agent’s in a cognitive integrated management support system. In: Nguyen, N.T. (ed.) Transactions on Computational Collective Intelligence XVIII. LNCS, vol. 9240, pp. 86–104. Springer, Heidelberg (2015). doi: 10.1007/978-3-662-48145-5_5CrossRefGoogle Scholar