Public interest and scholarly output on renewable energy and the shadow economy: Evidence from Google Trends and academic databases

Dynamic capabilities theory has become one of the most widely accepted theories of business strategy. The study aims to determine the degree of development of the dynamic capabilities theory. A meta-analysis was carried out through a bibliometric analysis and a systematic literature review. Documents published in Scopus and Web of Science between 1997–2023 were analyzed using VOSviewer software. 49 documents met the analysis requirements, with a maximum of 11 published in 2022. Keyword co-occurrences were also analyzed. 222 were found, and 26 were selected with at least two co-occurrences. The documents were grouped into six clusters by these keywords and analyzed to determine the degree of development of the theory. The results have shown popularity among researchers in different science branches, indicating a high degree of development. However, the study noted a lack of theoretical consistency in elaborating constructs for measuring variables in empirical investigations. As a result, this leads to a lack of consistency and generalization of the results. Hence, the theory is not considered fully developed in terms of lack of internal coherence, falsifiability, and predictability. Tools for the empirical measurement of variables need to be theoretically and empirically validated to ensure their application in different contexts. The confrontation of results from validated measurement tools in diverse environments will contribute to developing dynamic capabilities theory.

Acknowledgment
We appreciate the support granted through the Postdoctoral Stays program by CONAHCYT.

This paper comprehensively evaluates the literature on retail investor overconfidence using a framework-based systematic approach to understand the various dimensions of overconfidence bias, its effect on investing choices, and market dynamics. A systematic review of 137 publications from the Scopus database have been done to detect the research trend concerning investor overconfidence bias from its inception. An integrated ADO-TCM framework has been employed to present a systematic analysis of the theory, context, and methodologies (TCM) employed in the reviewed studies. The ADO (Antecedents, Decisions, and Outcomes) framework thoroughly examines the antecedents, decisions, and results of investor overconfidence.
The study identified four broad sets of factors contributing to investor overconfidence, as found in the existing literature. These factors include demographic characteristics, personality traits of investors, their knowledge and experience, and the features of investments and investor types. The Prospect theory is the most popular theory in the literature, with much research using secondary data and experiment-based analysis. The prospective study directions, based on the gaps in the existing literature, are as follows: further investigation into the decision-making processes of overconfident retail and professional investors is a worthwhile subject. Future research may shift their focus from financial outcome variables to non-financial outcome variables such as the impact of investor overconfidence on individuals’ stress levels, subjective financial well-being, and overall life happiness.

The article offers an investigation of the level of the shadow economy in Ukraine in the period 2007–2016, the structure of the shadow (“grey”) economy in the sectoral section, Ukraine’s place in world rankings in terms of economic freedom, corruption, favorable business conditions, and competitiveness. The main reasons of high level of shadow sector of the national economy are considered, and several measures regarding the reduction of the shadow economy in Ukraine and improvement of its economic situation are presented.