Trend Modelling as a Support of Managerial Decision-Making Process in Relation to Customers

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Abstract

The issue of managerial decision-making in relation to customers plays a significant role in any enterprise. Managerial decisions are often based on input information that is difficult to quantify. Therefore, common statistical methods cannot be easily used. A trend is the least informative quantifier. The goal of the paper is to present a new formal tool of the managerial decision-making process based on the trend model. This tool is demonstrated using the following variables: word of mouth, electronic word of mouth, brand trust, consumer experience and consumer price perception. These variables were chosen from scientific papers that confirmed a relationship among them. A trend analysis of the model involves assessing the relevant group of particular situations. The model’s predictions can be described as a sequence of these scenarios. The findings show that the trend model is a powerful and suitable tool in the managerial decision-making process.

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Schuller, D., Doubravsky, K., & Simberova, I. (2023). Trend Modelling as a Support of Managerial Decision-Making Process in Relation to Customers. Engineering Economics, 34(4), 412–424. https://doi.org/10.5755/j01.ee.34.4.30696

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