Publication detail

Models of Strategic Management Scanning Based on Trend Heuristics as the Least Information Intensive Quantifiers

KŘÍŽ, J. DOHNAL, M. FOJTŮ, K.

Original Title

Models of Strategic Management Scanning Based on Trend Heuristics as the Least Information Intensive Quantifiers

Type

journal article in Scopus

Language

English

Original Abstract

SS (Strategic Scanning) is unique, partially subjective, inconsistent, interdisciplinary, vague and multidimensional process. Its description and optimisation suffers from IS (Information Shortage) and heterogeneity. IS eliminates straightforward application of traditional statistical methods. Heterogeneity problems are caused by heterogeneous nature of scanned information structures. Artificial Intelligence has developed some tools to solve such problems. Qualitative reasoning is one of them. It is based on the least information intensive quantifiers i.e. trends. There are four different trends i.e. qualitative values and their derivatives: plus/increasing; zero/constant; negative/decreasing; any value / any trend. The paper studies SS models based on ELEs (Equationless Heuristics). An example of ELE is – If novelity is increasing then confidence is decreasing. A solution of a qualitative model is represented by a set S of scenarios and a set T of time transitions among these scenarios. The key information input into an ELE model is subjective knowledge of experts. A consensus among SS experts is often not reached because of inconsistencies of experts’ knowledge. The SS case study is 12 dimensional (e.g. Freshness, Relevance) and based on 12 ELEs. There are 29 scenarios. © 2020, Revista de Metodos Cuantitativos para la Economia y la Empresa.All Right reserved.

Keywords

complex; information shortage; scanning; strategic; transition; trend

Authors

KŘÍŽ, J.; DOHNAL, M.; FOJTŮ, K.

Released

30. 6. 2020

Publisher

Universidad Pablo de Olavide

ISBN

1886-516X

Periodical

Revista de Metodos Cuantitativos para la Economia y la Empresa

Year of study

29

Number

červen

State

Kingdom of Spain

Pages from

116

Pages to

130

Pages count

15

URL

https://com-mendeley-prod-publicsharing-pdfstore.s3.eu-west-1.amazonaws.com/3e98-CC-BY-2/10.46661/revmetodoscuanteconempresa.3260.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEGQaCWV1LXdlc3QtMSJHMEUCIFeT1nUEWLmmQqKxNzxXTvND4NfzY1rM74X5LnxQflxwAiEAz%2F58GyTLpceWebCFloXSoODU%2BtWVqCbxxkSS0BQOQ7QqjAQI3f%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FARAEGgwxMDgxNjYxOTQ1MDUiDB4%2BqJOVi6PUfMe5hCrgA1mAlqv0OruXQ5v1zLi7hfaaTSXc9NeopSbWOs9Yv9BfcnUEZ9Sv8HL0Exi1qr%2BNTNpbkgVuyiyPbMQvDMZbbF%2FdSiAbDPRoa7kEVfg%2BuprEMqTZi8M3u9gnjN99V%2F91nG%

BibTex

@article{BUT182317,
  author="Jiří {Kříž} and Mirko {Dohnal} and Kateřina {Fojtů}",
  title="Models of Strategic Management Scanning Based on Trend Heuristics as the Least Information Intensive Quantifiers
",
  journal="Revista de Metodos Cuantitativos para la Economia y la Empresa",
  year="2020",
  volume="29",
  number="červen",
  pages="116--130",
  doi="10.46661/REVMETODOSCUANTECONEMPRESA.3260",
  issn="1886-516X",
  url="https://com-mendeley-prod-publicsharing-pdfstore.s3.eu-west-1.amazonaws.com/3e98-CC-BY-2/10.46661/revmetodoscuanteconempresa.3260.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEGQaCWV1LXdlc3QtMSJHMEUCIFeT1nUEWLmmQqKxNzxXTvND4NfzY1rM74X5LnxQflxwAiEAz%2F58GyTLpceWebCFloXSoODU%2BtWVqCbxxkSS0BQOQ7QqjAQI3f%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FARAEGgwxMDgxNjYxOTQ1MDUiDB4%2BqJOVi6PUfMe5hCrgA1mAlqv0OruXQ5v1zLi7hfaaTSXc9NeopSbWOs9Yv9BfcnUEZ9Sv8HL0Exi1qr%2BNTNpbkgVuyiyPbMQvDMZbbF%2FdSiAbDPRoa7kEVfg%2BuprEMqTZi8M3u9gnjN99V%2F91nG%"
}