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Call for papers – Monothematic issue 2027
Cybersecurity, resilience and digital trust

This monothematic issue establishes a foundation for interdisciplinary research in the domain of cybersecurity, digital trust, and the economic implications of cyber threats. The accelerated digitalization of businesses, public administration, and society as a whole is an unparalleled escalation in cyber risks, which exert a direct influence on the economy, security, business continuity, and public administration. The objective of this edition is to compile original research and innovative approaches that will facilitate a more profound comprehension of contemporary challenges and enhance the resilience of the digital ecosystem.
Important dates: submission open date – June 1, 2026; manuscript submission deadline – October 31, 2026. Upon the submission, please inform the editorial office that the manuscript is intended for the monothematic issue (journal@tul.cz). The issue will be published in September 2027.
More information here: Call for papers here.

Monothematic issue 2026
Sustainable cities

This monothematic issue seeks to create a platform for interdisciplinary research on sustainable cities. Urban areas have become central to the global economy, yet they also face significant social and environmental challenges. Without addressing these issues, cities risk becoming overcrowded, polluted, and increasingly detrimental to the quality of life for their inhabitants. We invite submissions of original papers from diverse academic disciplines, presenting innovative research that can contribute to overcoming the key sustainability challenges facing urban areas worldwide.
Important dates: submissions closed, expected publication September 2026. More information in Call for papers here.

Monothematic issue 2025 (published September 5, 2025)
Transitioning to the green circular economy: The age of VUCA

In a world defined by environmental degradation, economic volatility, and technological disruption, the circular economy (CE) has moved from a theoretical concept to a practical imperative. This monothematic issue brings together diverse global perspectives and empirical research that demonstrate how CE serves as a strategic response to today’s volatile, uncertain, complex, and ambiguous (VUCA) conditions. The research featured here confirms that circularity is no longer an optional pursuit.
More information in Editorial, full issue.

Monothematic issue 2024 (published September 6, 2024)
Emerging digital technologies and their influence on elimination of supply chain vulnerability

This issue of E&M Economics and Management aims to expand the understanding of how digital technologies can be leveraged to mitigate supply chain vulnerabilities. The focus is on exploring the role of these technologies in making supply chains more lean, agile, resilient, and environmentally sustainable. The collected articles offer a comprehensive look into various aspects of this dynamic field. More information in Editorial here.

Aims & Scope

Among the key topics covered are Economics, Business Administration, Finance, Management, Information Management, and Marketing & Trade. More information here.

The journal E&M Economics and Management (E&M) publishes high quality original research articles and scientific studies based on theoretical and empirical analyses. E&M encourages new intriguing ideas and new perspectives on existing state of knowledge.
Among the key topics covered are Economics, Business Administration, Finance, Management, Information Management, and Marketing & Trade. More information here.

Warning

Editorial office of the journal E&M Economics and Management warns that there have recently emerged false offers promising mediation of publishing in our journal for a certain fee. Editorial office declares that we do not keep such cooperation. Every single review process is standartized and transparent. If you are interested in publishing with E&M, contact our editorial office directly. The journal does not have any intermediaries abroad.

Choice of articles of current issue

Forecasting major currency exchange rates using long short-term memory networks: Evidence from multi-currency time series analysis

Shahryar Ghorbani, Figen Yildirim, Ali Altug Bicer, Reza Rostamzadeh, Jonas Saparauskas

Exchange-rate dynamics are non-linear and volatile, which challenges conventional forecasting approaches. This study evaluates a reproducible long short-term memory (LSTM) framework for daily EUR/USD, GBP/USD, USD/TRY, and USD/JPY over 1 January 2010 to 31 December 2021. The contribution is twofold: (i) a fully specified and deployment-oriented LSTM protocol (architecture, preprocessing, and leakage-safe validation) suitable for applied forecasting; and (ii) a time-series-appropriate evaluation…

DOI (& full text): doi.org/10.15240/tul/001/2026-2-014 more

Changing times, changing drives: Entrepreneurial motivation across generations

Dominik Salat, Jarmila Duhacek Sebestova

Entrepreneurs from generation to generation play a significant role in the business environment. Understanding this issue, especially by policymakers, is crucial for development. Misunderstanding or lack of interest often leads to inaction or incorrect decisions, creating barriers for current and potential entrepreneurs. Each generation evolves in its own era, and over time, each will fade and be replaced by a new, undefined generation. Policymakers would be interested in understanding these…

DOI (& full text): doi.org/10.15240/tul/001/2025-5-025 more

Explainable credit risk modeling with hybrid tabular deep learning and adaptive feature routing

R. John Martin, Ahmad Khawaji, S. Sujatha

Well defined and transparent credit risk evaluation continues to be a fundamental issue in financial decision-making, particularly when dealing with intricate borrower profiles in the forms of organized tabular data. While traditional machine learning models often lack interpretability for predictive accuracy, recent deep learning approaches struggle to generalize across such data formats. We propose an innovative hybrid Tabular Deep Learning system that combines feature tokenizer transformer …

DOI (& full text): doi.org/10.15240/tul/001/2026-5-005 more

Environmental innovation and green low-carbon transitions: The moderating role of green regulatory pressure

Tingqian Pu

Environmental innovation is widely recognized as a key driver of sustainability, reducing greenhouse gas emissions and enhancing resource efficiency. However, the mechanisms through which it contributes to green low-carbon transitions remain underexplored, particularly in the context of varying regulatory environments. This study examines the relationship between environmental innovation and green low-carbon transitions, focusing on the moderating role of green regulátory pressure. Using panel…

DOI (& full text): doi.org/10.15240/tul/001/2025-5-021 more

Green innovation and firm performance in China: Empirical insights from A-share listed manufacturers

Ganglong Wu, Syed Ahmed Salman, Baoting Huang, Tengkun Wang

As environmental challenges intensify globally, green innovation has become a strategic imperative for firms seeking to balance ecological responsibility with sustained competitiveness. We examine whether green innovation improves firm performance in China’s manufacturing sector. Using panel data on 1,033 A-share manufacturers (2014–2023; 10,330 firm-years), we estimate two-way fixed-effects models (firm and year fixed effects (FE)) with cluster-robust standard errors (SE). Green innovation is…