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EN
The main goal of the study is to determine the factors of business sustainability, that is, to investigate the effect of knowledge management (KM) on green innovation (GI) and sustainable business (SB), both at the constructs and at the dimensional level, as well as to investigate whether green innovation is a mediator in the relationship between KM activities and SB, and between KM and SB dimensions of mining companies. The research and pilot test were carried out between March and mid-July 2022, and 288 employees from 32 Serbian mining companies were selected using a non-probabilistic convenience sample. The causal relationship between KM, GI, and the SB of the mining industry was assessed using the structural equation modelling methodology. The bootstrap procedure was used to assess the indirect effects of KM through GI on SB and its dimensions. The results showed that KM significantly influences GI and SB, both at the constructs and at the dimensional level. In addition, GI significantly determine SB. At the dimensional level, each of the dimensions of KM significantly affects the dimensions of GI and the SB dimensions. The impact of GI dimensions on the SB dimensions is also significant. The relationship between KM and SB, as well as KM and SB dimensions, was found to be partially mediated by GI.
EN
The facilitative effect of natural frequencies in Bayesian reasoning task is a robust phenomenon. However, it does not benefit everyone the same way and the reasons why remain open. This paper examines to what extent numeracy and cognitive reflection can account for individual differences in Bayesian task performance. Our results showed that participants with good numerical ability and cognitive reflection performed better than participant with lower numerical ability and cognitive reflection. Furthermore, mediation analysis showed that numeracy does not mediate the effect of cognitive reflection on Bayesian performance. The role of numeracy in performance was clarified and cognitive reflection was identified as a new determinant of Bayesian performance. Numeracy and cognitive reflection account for the individual differences of the facilitative effect of the natural frequencies in the process of belief revision. These findings have implications for the debate on the nature of the facilitation effect and for improving communication of risk, such as informed consent concerning treatment.
EN
The article presents two examples of causal inferences in which theoretical problems exclude a possibility to infer causal relations from effects of experimental manipulation. The first example is a causal inference through mediation analysis. Particular emphasis has been placed on interpretation of direct, total and indi¬rect effects in Structural Equation Modelling. The second example concerns the causal impact of a dependent variable on its own explanatory model. In this example estimation of the causal model parameters can be done through the Linear Mixed Model.
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