High-dimensional data in economics and their (robust) analysis

Kalina, Jan

doi:10.5937/sjm12-10778

Cited by 6 publications

(2 citation statements)

References 8 publications

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“…One of the sections of this general set theory, devoted to operations on abstract sets, presented in particular in the articles [13,14,15], can be used to describe the performance indicators of aggregates of SMEs.…”

Section: Methodsmentioning

confidence: 99%

Modeling the Activity of Small and Medium Enterprises using Set Theory

Pinkovetskaia*,

Nikitina,

Gromova

2020

IJRTE

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One of the directions of the Strategy for the Development of the Information Society in the Russian Federation for 2017-2030 is elaboration of technology for processing data on the activities of economic entities, as a tool for analyzing economic activity and making decisions based on the most complete amounts of information. The number of small and medium enterprises in certain industries and regions of Russia amounts to tens and hundreds of thousands. The assessment of their performance indicators requires improving methods for the formation and analysis of relevant databases, as well as the development of computer economic and mathematical models. Taking into account the large number of enterprises included in the relevant aggregates, the authors propose a new original approach to the description of their performance indicators. The study aims to develop a methodology for a system analysis of performance indicators of small and medium enterprises using set theory. These indicators are formed on the basis of a combination of different variants of their sets. The authors also consider the interrelations between the indicators characterizing the sets of small and medium enterprises belonging to different size categories, industries and territories. The results of the study can be used to develop technology for processing data on the activities of business entities, as a tool for analyzing economic activity and making decisions. They make it possible to establish patterns and trends in the development of various aggregates of SMEs, substantiate proposals and recommendations for improving their functioning on the basis of the characteristics specific to particular aggregates, and provide a differentiated approach to solving problems of state regulation of entrepreneurship.

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Section: Methodsmentioning

confidence: 99%

Modeling the Activity of Small and Medium Enterprises using Set Theory

Pinkovetskaia*,

Nikitina,

Gromova

2020

IJRTE

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“…Moreover, the relationships of OL and competitive advantage with knowledge sharing are of fundamental significance to organizations because organizations may become more effective and competitive due to mutual reinforcement of knowledge sharing, OL, and competitiveness (Skinnarl & Sharp, 2014). In this respect, there is a clear need for conducting analyses of highdimensional data (Kalina, 2017) from which companies can gain true genuine knowledge and ensure OL more effectively and efficiently. It is important to emphasize that the managers' behaviors toward subordinates influence the environments for learning and change (Matić, 2022).…”

mentioning

confidence: 99%

Leadership styles, organizational learning, and organizational competitiveness: Evidence from the Republic of North Macedonia

Krsteska,

Arikan,

Mitrevski

et al. 2023

Serb J Management

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This study, in the Republic of North Macedonia (NM), identifies the differences between the Leadership Styles (LS) in the given context of Organizational Learning (OL), Situational Leadership (SL), and Organizational Competitiveness (OC). In addition, the study identifies specific factors which make up these constructs. The research was conducted across several industries, organizational hierarchical levels, and various work experiences. A pre-test survey was conducted on a small scale of respondents (n=79) for Organizational learning questionnaire, while the final questionnaire was administered on a larger scale (n=273), both using the convenient sampling. Results prove that there are no statistically significant differences between LS in OC, nor in the OL, while statistically significant differences existed in SL. This study also explored the existing multiple factors in LS, OL, and OC. These findings shed light on possible future research which can integrate these results and dive into further exploratory studies that can dwell into more comprehensive understanding which in effect can increase managerial implications for companies and researchers alike.

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Factor Analysis Regression for Predictive Modeling with High-Dimensional Data

Carter

Michael

2022

J. Quant. Econ.

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High-dimensional data in economics and their (robust) analysis

Cited by 6 publications

References 8 publications

Modeling the Activity of Small and Medium Enterprises using Set Theory

Modeling the Activity of Small and Medium Enterprises using Set Theory

Leadership styles, organizational learning, and organizational competitiveness: Evidence from the Republic of North Macedonia

Factor Analysis Regression for Predictive Modeling with High-Dimensional Data

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