DECISION-MAKING BASED ON MACHINE LEARNING TECHNIQUES: A CASE STUDY

Patrick S.Eboule Pouabe, Jan Harm C. Pretorius, Leon Pretorius

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Decision-making in companies is often based on the managers' personal experience. However, their consequences can have an impact on the development of the daily activities. To illustrate the managerial impact of decision-making, the biggest African power utility company based in South Africa will be analyzed. Various data such as annual productivity and energy sales were extracted over 15 years from his annual reports and two artificial neural network techniques named Levenberg-Marquardt and Scaled Conjugate Gradient used to analyze them. It emerged from the results obtained that between 2018 and 2020 the company experienced good growth which could extend until 2025 in the best-case scenario or else will drop again to reach its 2020 well-being state. Thus, the obtained results could be used to reinforce the decision-making and to determine the moment when decisions should be taken to prevent the demise of the company.

Original languageEnglish
Pages (from-to)240-262
Number of pages23
JournalPolish Journal of Management Studies
Volume28
Issue number1
DOIs
Publication statusPublished - 22 Dec 2023

Keywords

  • decision-making
  • machine learning techniques
  • strategic management

ASJC Scopus subject areas

  • Business and International Management
  • Strategy and Management
  • Organizational Behavior and Human Resource Management

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