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Value creation in business: current trends and future perspectives of economic research

Author

Listed:
  • Tomáš Cejpek

    (Institute of Technology and Business in České Budějovice, Czech Republic)

  • Petra Mrázová

    (Institute of Technology and Business in České Budějovice, Czech Republic)

  • Ekaterina Chytilová

    (Institute of Technology and Business in České Budějovice, Czech Republic)

  • Michal Ruschak

    (Institute of Technology and Business in České Budějovice, Czech Republic)

Abstract

This study analyses the current state of value research to identify key themes and their evolution. The method uses VoS Viewer and bibliographic maps from the Web of Science and Scopus databases. Based on the keyword analysis, two models are developed to predict developments up to 2030. The main findings suggest that the first model is suitable for short-term predictions, while the second model is better suited for the long-term outlook. A limitation is the focus on only two academic databases, which may affect the overall representativeness of the results. The study suggests possibilities for extension, including keyword analysis by region and more detailed examination of individual publications using modern technologies such as machine learning or artificial intelligence. The concept of value is examined in its multiple dimensions, including economic, social, and individual perspectives, highlighting its interdisciplinary nature. The analysis shows how the understanding of value has evolved in response to societal and technological change.

Suggested Citation

  • Tomáš Cejpek & Petra Mrázová & Ekaterina Chytilová & Michal Ruschak, 2025. "Value creation in business: current trends and future perspectives of economic research," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 13(1), pages 358-372, September.
    • Handle: RePEc:ssi:jouesi:v:13:y:2025:i:1:p:358-372
    DOI: 10.9770/d8582284867
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    Keywords

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    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • D46 - Microeconomics - - Market Structure, Pricing, and Design - - - Value Theory

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