THE BEHAVIOR PATTERN OF COMMERCIAL ENTERPRISES IN POLAND DURING PERIODS OF NORMAL VOLATILITY AND EXTRAORDINARY INSTABILITY OF THE BUSINESS ENVIRONMENT Cover Image

THE BEHAVIOR PATTERN OF COMMERCIAL ENTERPRISES IN POLAND DURING PERIODS OF NORMAL VOLATILITY AND EXTRAORDINARY INSTABILITY OF THE BUSINESS ENVIRONMENT
THE BEHAVIOR PATTERN OF COMMERCIAL ENTERPRISES IN POLAND DURING PERIODS OF NORMAL VOLATILITY AND EXTRAORDINARY INSTABILITY OF THE BUSINESS ENVIRONMENT

Author(s): Agnieszka Szczepkowska-Flis
Subject(s): Business Economy / Management, Micro-Economics, Methodology and research technology
Published by: Wydawnictwo Uniwersytetu w Białymstoku
Keywords: behavior pattern of enterprises; inertia effect; prediction effect; commercial enterprises; qualitative indicators;

Summary/Abstract: The purpose of the study was to identify and compare the behavior pattern of commercial enterprises, reflected through qualitative indicators, during the period of normal volatility and the period of extraordinary instability of the business environment. It was assumed the behavior pattern is created by the inertia effect based on routines and the prediction effect based on expectations. The study used qualitative indicators (diagnoses and forecasts) from GUS business tendency surveys in the Polish trade sector. The econometric study (ARDL models and multiplier analysis) was conducted for two subperiods: the period of normal volatility (01.2000-02.2020) and the period of extraordinary instability (03.2020-05.2025). The inertia effect played a key role in shaping the diagnoses. Combined with the prediction effect, it created a stable behavior pattern of commercial enterprises only in the period of normal volatility. This regularity was noted for qualitative indicators of financial situation and sales. No behavior pattern was identified in the period of extraordinary instability. The study proved that the behavior pattern and the response of enterprises to extraordinary instability differ depending on their location in the producer-consumer supply chain.

  • Issue Year: 124/2026
  • Issue No: 2
  • Page Range: 273-289
  • Page Count: 17
  • Language: English
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