Supporting Investment Decisions Based on Cognitive Technology

Piotr Oleksyk , Marcin Hernes , Bartłomiej Nita , Helena Dudycz , Agata Kozina , Jakub Janus

Abstract

The aim of the chapter is to present the conception of the prediction module for supporting investment decisions based on the cognitive technology.Managers must make investment decisions that are very important for a company’s development. Decisions are made based on scenario analysis. Preparation of these scenarios is based on data and information from sources from the company and its environment. An important source of data are social media, which can contain valuable information, but also rubbish. The problem is to extract from a huge amount of data in social media information which is valuable and useful for a company in forecasting future situations. The chapter contains conclusions from the study on the use of cognitive technology in obtaining valuable information from Twitter to forecast investment scenarios. We have discussed the proposal of the prognostic investment decision supporting module and present a case study analysis that refers to the use of cognitive technologies in the this module to support investment decision making by managers in small and medium-sized enterprises. The contribution of this chapter is a proposal of the prediction module for supporting investment decisions based on the cognitive technology.
Author Piotr Oleksyk (BM / DoATaFA)
Piotr Oleksyk,,
- Department of Accounting, Reporting and Financial Analysis
, Marcin Hernes (BM / DACIaQM)
Marcin Hernes,,
- Department of Process Management
, Bartłomiej Nita (BM / DoATaFA)
Bartłomiej Nita,,
- Department of Accounting, Reporting and Financial Analysis
, Helena Dudycz (BM / DIT)
Helena Dudycz,,
- Department of Information Technologies
, Agata Kozina (WUEB)
Agata Kozina,,
- Wroclaw University of Economics and Business
, Jakub Janus (WUEB)
Jakub Janus,,
- Wroclaw University of Economics and Business
Pages41-59
Publication size in sheets0.9
Book Hernes Marcin, Rot Artur, Jelonek Dorota: Towards Industry 4.0 — Current Challenges in Information Systems, Studies in Computational Intelligence, no. 887, 2020, Springer, ISBN 9783030404161, [9783030404178], 266 p., DOI:10.1007/978-3-030-40417-8
Hernes_Rot_Jelonek_4.0_Current_Challenges.pdf / No licence information (file archived - login or check accessibility on faculty)
Keywords in EnglishCognitive Technology, Prognostic Decisions, Investment Forecasting, Cognitive Agents, Social Media Exploration
DOIDOI:10.1007/978-3-030-40417-8_3
Languageen angielski
File
Oleksyk_Hernes_Nita_Dudycz_Kozina_Janus_Supporting_Investment_Decision.pdf 461,04 KB
Score (nominal)20
Score sourcepublisherList
Citation count*1 (2020-11-23)
Additional fields
UwagaThe project is financed by the Ministry of Science and Higher Education in Poland under the program “Regional Initiative of Excellence” 2019—2022 project number 015/RID/2018/19 total funding amount 10 721 040,00 PLN.
Cite
Share Share

Get link to the record


* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
Back