Factors affecting financial performance in the waste management industry: A comparative analysis of pre- and post-COVID-19 periods DOI Creative Commons
Janka Grofčíková, Hussam Musa, Silvia Lorincová

и другие.

JOURNAL OF INTERNATIONAL STUDIES, Год журнала: 2024, Номер 17(4), С. 195 - 218

Опубликована: Дек. 1, 2024

The linear economic model is unsustainable for a long time, so the transition to circular economy seems inevitable. By adopting new Circular Economy Action Plan, EU taking concrete steps in this direction and identifying indicators measure progress. In context, businesses operating waste management industry are among key actors helping meet objectives of policies. This study aims identify compare determinants financial performance companies NACE 38 quantify their impact on ROA ROS 2019 2022. Pearson's R was used select variables we examined using principal components analysis as one methods exploratory factor analysis. Linear regression employed explain influence extracted factors changes ROS. For 2019, five (capital structure, business policy, current assets' efficiency, operational activity, working capital management) that 79.2% variability profitability. 2022, six (liquidity management, asset volume available resources, structure activity), which 84.17% variables. comparing findings, concluded while pre-crisis period, ratios appeared be companies, post-crisis liquidity resources have become more critical.

Язык: Английский

Techno-economic aspects of concrete lightweighting by char enrichment with phosphates from wastewater DOI Creative Commons
Josef Maroušek, Beáta Gavurová, Anna Maroušková

и другие.

Chemical Engineering Journal Advances, Год журнала: 2025, Номер unknown, С. 100712 - 100712

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

1

Digital twin-based cyber-physical manufacturing systems, extended reality metaverse enterprise and production management algorithms, and Internet of Things financial and labor market technologies in generative artificial intelligence economics DOI Creative Commons
George Lăzăroiu, Tom Gedeon, Elżbieta Rogalska

и другие.

Oeconomia Copernicana, Год журнала: 2024, Номер 15(3), С. 837 - 870

Опубликована: Сен. 30, 2024

Research background: Generative artificial intelligence (AI) and machine learning algorithms support industrial Internet of Things (IoT)-based big data enterprise asset management in multiphysics simulation environments by processing, modeling, monitoring, enabling business organizational managerial practices. Machine learning-based decision edge generative AI sensing systems can reduce persistent labor shortages job vacancies power productivity growth market dynamics, shaping career pathways facilitating occupational transitions skill gap identification labor-intensive manufacturing automation path planning spatial cognition algorithms, furthering theoretical implications for sciences. fintech, behavioral analytics assist multi-layered payment transaction processing screening with regard to authorized push payment, account takeover, synthetic identity frauds, flagging suspicious activities combating economic crimes rigorous verification processes. Purpose the article: We show that device functionalities cloud IoT virtual robotic technologies configure plant production route processes across cyber-physical multi-cloud immersive 3D environments, leading tangible outcomes reinforcement convolutional neural networks. Labor-augmenting impact employment participation, increase wage wealth inequality, lead potential displacement massive disruptions. The deep capabilities fintech terms adaptive credit scoring mechanisms enhance financial behaviors algorithmic trading returns, identify fraudulent transactions swiftly, improve forecasts, customized investment recommendations well-informed decisions. Methods: study selection process text mining systematic review software tools leveraged include Abstrackr, CADIMA, Colandr, DistillerSR, EPPI-Reviewer, JBI SUMARI, METAGEAR package R, SluRp, SWIFT-Active Screener. Such reference are harnessed methodologically evidence synthesis, characteristic extraction, predictive document classification, citation record screening, bias assessment, article retrieval automation, classification prioritization. Findings & value added: Industrial augmented reality create streamlining product remote extended reality-based navigation autonomous smart factory articulating level theory implications. operational modeling execute complete complex cognitive task-oriented knowledge economy jobs, producing first-rate quality outputs swiftly while unemployment spells, disruptions, losses, reduced earnings clustering algorithms. decentralized finance, interoperable blockchain networks, cash flow tools, tokenization mitigate fraud risks, enable digital fund crypto investing servicing, automate treasury operations integrating real-time capabilities, routing configurable workflows, lending technologies.

Язык: Английский

Процитировано

6

Enhanced nitrogen and phosphorus removal by Saccharimonadales sp. in a sequencing batch reactor DOI
Zhang Ju,

Shuhan Lei,

Xiaoling Zhang

и другие.

Biochemical Engineering Journal, Год журнала: 2024, Номер 211, С. 109456 - 109456

Опубликована: Авг. 6, 2024

Язык: Английский

Процитировано

5

Green investment and its transformative impact on energy use in agriculture: A holistic approach towards carbon dioxide emissions DOI
Bright Obuobi, Yifeng Zhang

Energy, Год журнала: 2024, Номер 309, С. 133075 - 133075

Опубликована: Сен. 3, 2024

Язык: Английский

Процитировано

5

Refining the Best-Performing V4 Financial Distress Prediction Models: Coefficient Re-Estimation for Crisis Periods DOI Creative Commons
Lucia Švábová, Erika Kovalová, Jana Gazdíková

и другие.

Applied Sciences, Год журнала: 2025, Номер 15(6), С. 2956 - 2956

Опубликована: Март 10, 2025

Financial distress prediction models have been extensively utilised to assess the financial health of companies. However, their predictive accuracy can be significantly affected by extraordinary economic disruptions, such as COVID-19 pandemic. Traditional models, particularly those designed for stable conditions, necessitate evaluation and potential adaptation maintain effectiveness during unprecedented circumstances. This study seeks evaluate performance developed authors from Visegrad Four (V4) when applied Slovak automotive companies before, during, after Initially, best-performing selected were identified in pre-pandemic period (2017–2019). The performances these subsequently analysed pandemic post-pandemic periods (2020–2022). Finally, coefficients re-estimated enhance while preserving original variables, ensuring interpretability any changes. objective is identify with highest period, reliability under crisis suggest improvements through coefficient re-estimation. While majority experienced significant declines pandemic, some retained adequate accuracy. improved overall also enhanced sensitivity some, offering stakeholders option utilise either or adjusted based on specific context. To complement analysis, we constructed new periods, allowing a more comprehensive changing conditions. provides framework adapting contributing valuable insights researchers practitioners seeking tools within dynamic environments.

Язык: Английский

Процитировано

0

A Meta-Analysis of Innovation Management in Scientific Research: Unveiling the Frontier DOI Creative Commons
Denis Juracka, Marek Nagy, Katarína Valašková

и другие.

Systems, Год журнала: 2024, Номер 12(4), С. 130 - 130

Опубликована: Апрель 9, 2024

Innovation is a critical element in numerous domains, especially when it comes to determining the course of business success via efficient innovation management systems. The objective this study determine which category has greatest impact on effectiveness by analyzing correlation and its associated activities performance companies. This synthesizes empirical research findings regarding relationship between through utilization meta-analysis. In recent decades, meta-analysis gained significant prominence as method improve precision results integrating multiple studies into comprehensive analysis. Systematic reviews meta-analyses enhance credibility outcomes due their status most dependable forms evidence. A noteworthy observed categories, with small medium-sized enterprises (SMEs) exhibiting strongest correlation. Significantly, organizational innovations demonstrate coefficient, indicating that they have performance. highlights significance effectively addressing enterprise challenges promoting success. It specifically emphasizes role play facilitating

Язык: Английский

Процитировано

4

Business Efficiency: Insights from Visegrad Four Before, During, and After the COVID-19 Pandemic DOI Creative Commons
Pavol Ďurana, Erika Kovalová, Roman Blažek

и другие.

Economies, Год журнала: 2025, Номер 13(2), С. 26 - 26

Опубликована: Янв. 22, 2025

Efficiency is one of the tenets in assessing financial health an enterprise. Ultimately, form asset management has a major impact on growth but also decline profit. It reveals how enterprises are positioned within competitive market environment. For this reason, aim article to define level business activity Visegrad Four pre-crisis, during-crisis and post-crisis periods COVID-19 pandemic. The investigation included 48,650 from Slovakia, Czechia, Poland, Hungary over period 2017–2023. We determined median values eleven efficiency indicators separately for each country sector. Friedman test Kruskal–Wallis confirmed significant differences between years countries. Furthermore, multiple pairwise comparisons revealed analogies pre-crisis periods, as well similarities two pandemic tested ratios. One can observe that results serve foundation regional international benchmarks, particularly former Eastern Bloc

Язык: Английский

Процитировано

0

Investment, Financing, Security and Profitability Before, During and After the Corona Crisis: Evidence from the Dairies and Cheese Making Industry of the Republic of Croatia DOI
Dina Korent, Marijana Bubanić,

Valentina Čajko

и другие.

Eurasian studies in business and economics, Год журнала: 2025, Номер unknown, С. 135 - 157

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

The mediating role of attitudes in the effect of human and environment-centered value orientation on green cosmetic product purchasing behavior: comparison of different countries DOI Creative Commons
Duygu Çinar Baltacı, Yakup Durmaz, Furkan Baltacı

и другие.

Environment Development and Sustainability, Год журнала: 2025, Номер unknown

Опубликована: Апрель 15, 2025

Язык: Английский

Процитировано

0

UV-modified biochar-Bacillus subtilis composite: An effective method for enhancing Cd(II) adsorption from water DOI
Chunlei Zhu, Jian Zhang,

Guangfeng Huang

и другие.

Biochemical Engineering Journal, Год журнала: 2024, Номер 212, С. 109527 - 109527

Опубликована: Окт. 11, 2024

Язык: Английский

Процитировано

3