Subtopic Deep Dive

Impact of Economic Crises on Entrepreneurship
Research Guide

What is Impact of Economic Crises on Entrepreneurship?

Impact of Economic Crises on Entrepreneurship examines how recessions and financial shocks affect new business formation, venture survival rates, and entrepreneurial behavior in economic systems.

This subtopic analyzes insolvency risks during crises (Mackevičius and Šneidere, 2010, 8 citations) and high-growth firm dynamics in sectors like transport (Pletnev et al., 2020, 5 citations). Studies cover over 20 papers from 2004-2023, focusing on SME resilience and policy responses. Key works include career management in wood-processing SMEs amid economic pressures (Hitka et al., 2018, 9 citations).

15
Curated Papers
3
Key Challenges

Why It Matters

Economic crises increase enterprise insolvency, as modeled by financial prediction methods (Mackevičius and Šneidere, 2010), impacting job creation and recovery. High-growth firms in transport sustain growth despite downturns, contributing to GDP (Pletnev et al., 2020). Government support in agriculture during crises stabilizes sectors (Ubaidullaev et al., 2023), informing policies for entrepreneurial resilience. Leadership lessons from COVID-19 highlight adaptive strategies (Huang, 2021).

Key Research Challenges

Predicting Insolvency in Crises

Financial analysis models detect insolvency symptoms but struggle with crisis-induced volatility (Mackevičius and Šneidere, 2010). Data scarcity during recessions limits model accuracy. Integrating behavioral factors remains unresolved.

SME Survival in Recessions

Small enterprises face career and growth barriers in downturns (Hitka et al., 2018). High-growth patterns vary by sector like transport (Pletnev et al., 2020). Policy interventions show mixed results across regions.

Measuring Crisis Resilience

Performance indicators for firms during shocks lack standardization (Multan et al., 2023). Risk models overlook external uncertainties (Kosova et al., 2021). Longitudinal data on venture survival is sparse.

Essential Papers

1.

Management Consulting Trends in Slovakia in the Light of Global and Regional Tendencies

Zsuzsanna Szeiner, Ladislaw Mura, Zsolt Horbulák et al. · 2020 · Journal of Eastern European and Central Asian Research (JEECAR) · 21 citations

Management consulting, as we know it today, has existed for over 100 years. We review the basic concepts of consulting, outline the major steps in the development of business-related consulting, an...

2.

Accounting for Holdings of Cryptocurrencies in the Slovak Republic: Comparative Analysis

Miriama Blahušiaková · 2021 · Contemporary Economics · 15 citations

Cryptocurrency has attracted more attention recently. With the rapid increase in popularity of cryptocurrencies´ transactions it is necessary to adopt a unified approach to this novel, 21st century...

3.

The World Experience and a Unified Model for Government Regulation of Development of the Automotive Industry

Illia Dmytriiev, Інна Шевченко, Vyacheslav M. Kudryavtsev et al. · 2019 · Public Policy And Administration · 13 citations

The article summarises the advanced world experience in government regulation of the automotive industry using the example of the leading automotive manufacturing countries – China, Japan, India, S...

4.

How to manage careers in Slovak small and medium-sized wood-processing enterprises

Miloš Hitka, Lenka Ližbětinová, Jarmila Schmidtová et al. · 2018 · BioResources · 9 citations

Current approaches to human resource management are focused on the sustainable development of small and medium-sized enterprises (SMEs). Career strategies of employees are its integral part. The ai...

5.

INSOLVENCY OF AN ENTERPRISE AND METHODS OF FINANCIAL ANALYSIS FOR PREDICTING IT

Jonas Mackevičius, Ruta Šneidere · 2010 · Ekonomika · 8 citations

The purpose of this article is to draw attention to the topical problem of entity-level insolvency and the insolvency prediction models. Definitions, symptoms, causes and factors affecting insolven...

6.

Application of Performance and Efficiency Indicators in Measuring the Level of Success of Public Universities in Poland

Ewa Multan, Marzena Wójcik‐Augustyniak, Bartosz Sobotka et al. · 2023 · Sustainability · 6 citations

Success can be interpreted and assessed in various ways. This article proposes evaluating university success through performance and efficiency indicators, inspired by the Positioning School of Str...

7.

THEORETICAL ASPECTS OF RISK MANAGEMENT MODELS IN ECONOMICS, MARKETING, FINANCE AND ACCOUNTING

Тетяна Косова, Serhii Smerichevskyi, Alla Ivashchenko et al. · 2021 · Financial and credit activity problems of theory and practice · 5 citations

Abstract. The relevance of the study is determined by the objective need to model the processes and results of business entities in conditions of the internal and external environment uncertainty i...

Reading Guide

Foundational Papers

Start with Mackevičius and Šneidere (2010) for insolvency prediction basics, then Alas (2004) on organizational change processes during economic shifts.

Recent Advances

Study Pletnev et al. (2020) for high-growth firm resilience, Huang (2021) for crisis leadership, Ubaidullaev et al. (2023) for policy support.

Core Methods

Financial prediction models (Mackevičius 2010), performance indicators (Multan 2023), risk management modeling (Kosova 2021).

How PapersFlow Helps You Research Impact of Economic Crises on Entrepreneurship

Discover & Search

Research Agent uses searchPapers and citationGraph to map insolvency prediction literature from Mackevičius and Šneidere (2010), revealing 8 foundational citations. exaSearch uncovers regional SME studies like Hitka et al. (2018); findSimilarPapers links to Pletnev et al. (2020) high-growth firms.

Analyze & Verify

Analysis Agent applies readPaperContent to extract insolvency models from Mackevičius and Šneidere (2010), then runPythonAnalysis with pandas to replicate prediction metrics. verifyResponse via CoVe checks crisis impact claims against Huang (2021); GRADE scores evidence on SME resilience (Hitka et al., 2018).

Synthesize & Write

Synthesis Agent detects gaps in crisis policy support via contradiction flagging across Ubaidullaev et al. (2023) and Mackevičius (2010). Writing Agent uses latexEditText and latexSyncCitations for reports, latexCompile for manuscripts, exportMermaid for insolvency risk flowcharts.

Use Cases

"Analyze insolvency rates in SMEs during 2008 crisis using Python stats"

Research Agent → searchPapers → Analysis Agent → readPaperContent (Mackevičius 2010) → runPythonAnalysis (pandas regression on citation data) → statistical survival probabilities output.

"Draft LaTeX review on high-growth firms in transport crises"

Synthesis Agent → gap detection → Writing Agent → latexEditText (structure review) → latexSyncCitations (Pletnev 2020) → latexCompile → formatted PDF with diagrams.

"Find code for entrepreneurial risk models post-recession"

Research Agent → paperExtractUrls → Code Discovery → paperFindGithubRepo → githubRepoInspect → executable Python scripts for insolvency forecasting.

Automated Workflows

Deep Research workflow scans 50+ papers on insolvency and SME survival (Mackevičius 2010 to Pletnev 2020), generating structured reports with citation graphs. DeepScan applies 7-step verification to crisis leadership claims (Huang 2021), checkpointing with CoVe. Theorizer builds theory on counter-cyclical entrepreneurship from high-growth firm data.

Frequently Asked Questions

What defines the impact of economic crises on entrepreneurship?

It covers venture survival, insolvency prediction, and behavioral responses during recessions, as in Mackevičius and Šneidere (2010).

What methods predict insolvency during crises?

Financial analysis models review symptoms, causes, and prediction techniques (Mackevičius and Šneidere, 2010, 8 citations).

What are key papers?

Foundational: Mackevičius and Šneidere (2010); recent: Pletnev et al. (2020) on high-growth firms, Huang (2021) on COVID leadership.

What open problems exist?

Standardizing resilience metrics across crises and sectors; integrating real-time data into risk models (Multan et al., 2023; Kosova et al., 2021).

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